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Meta-Analysis
. 2025 Sep 10;9(9):CD014745.
doi: 10.1002/14651858.CD014745.pub2.

Prognostic models for radiation-induced complications after radiotherapy in head and neck cancer patients

Toshihiko Takada  1   2 , Makbule Tambas  3 , Enrico Clementel  4 , Artuur Leeuwenberg  1 , Marjan Sharabiani  5 , Johanna Aag Damen  1   6 , Zoë S Dunias  1 , Jan F Nauta  3 , Demy L Idema  1   6 , Jungyeon Choi  1 , Lotta M Meijerink  1 , Johannes A Langendijk  3 , Karel Gm Moons  1   6 , Ewoud Schuit  1
Affiliations
Meta-Analysis

Prognostic models for radiation-induced complications after radiotherapy in head and neck cancer patients

Toshihiko Takada et al. Cochrane Database Syst Rev. .

Abstract

Background: Radiotherapy is the mainstay of treatment for head and neck cancer (HNC) but may induce various side effects on surrounding normal tissues. To reach an optimal balance between tumour control and toxicity prevention, normal tissue complication probability (NTCP) models have been reported to predict the risk of radiation-induced side effects in patients with HNC. However, the quality of study design, conduct, and analysis (i.e. risk of bias (ROB)), as well as the predictive performance of these models, remains to be evaluated.

Objectives: To identify, describe and appraise NTCP models to predict the risk of radiation-induced side effects in patients with HNC.

Search methods: We searched Ovid MEDLINE, Embase and the World Health Organization International Clinical Trials Registry Platform from conception to January 2024. In addition, we screened references cited in the retrieved articles.

Selection criteria: Two review authors independently included articles reporting on the development and external validation of NTCP models to predict any type of radiation-induced side effects in patients with HNC.

Data collection and analysis: One reviewer extracted data from each article based on the Checklist for Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies and assessed their applicability and ROB using the Prediction model ROB Assessment Tool, while another reviewer carefully verified the results. For models externally validated at least twice for the same outcome as their original developmental study, we performed qualitative analyses of the model performance. The GRADE system was not applied, since it has not been established for reviews of prognostic model studies.

Main results: Amongst 592 models developed from 143 articles, including 140,767 HNC patients, only 49 (8%) models from six articles were judged to have low ROB and low concerns for applicability. No external validation was performed for 480 models (81%). For the remaining 112 models and six additional models which were not eligible for the present review, 152 external validations were performed in 34,304 patients with HNC in 41 articles. The results of models externally validated at least twice are discussed below. Models for xerostomia Amongst 275 models for xerostomia, two models were externally validated at least twice. The Beetz 2012b model for xerostomia six months after radiotherapy was validated in two studies. C-statistics ranged from 0.70 to 0.74. Calibration performance was reported in one study. One validation study was rated as having low ROB in all domains, while the other was rated as having high ROB in the analysis domain. The Cavallo 2021 model for acute xerostomia during radiotherapy for patients with nasopharyngeal cancer was externally validated in the same study, using two different types of cohorts. C-statistics ranged from 0.68 to 0.73 and calibration plots were reported in both cohorts. Both validations were rated as having unclear ROB in the participants' domain because no detailed information about recruiting was provided. Models for dysphagia Amongst 86 models for dysphagia, two models were externally validated at least twice. The Christianen 2012 model for dysphagia six months after radiotherapy was validated in five studies. C-statistics ranged from 0.66 to 0.75. Calibration performance was assessed in all of them, while four of them were rated as having high ROB in the analysis domain due to the small sample size. The Wopken 2014b model for tube feeding dependence six months after radiotherapy was validated in three external validation studies. C-statistics ranged from 0.79 to 0.95, while calibration was evaluated in all studies. Due to the small size of the validation datasets, they were judged as having high ROB in the analysis domain. Models for hypothyroidism Of 66 models for hypothyroidism, two models were externally validated at least twice. In addition, there was another model which was not originally developed for patients with HNC, but validated in this domain. The Boomsma 2012 for hypothyroidism within two years after radiotherapy was externally validated in two studies. C-statistics ranged from 0.64 to 0.74, while only one study reported its calibration performance. Both validation studies were rated as having high ROB in the analysis domain. The Ronjom 2013 model for radiation-induced hypothyroidism was validated in three studies. C-statistics ranged from 0.65 to 0.69 and calibration plots were reported in only one study. Two validation studies were judged as having high and the other was rated as having unclear ROB in the analysis domain. The Cella 2012 model was originally developed to predict radiation-induced hypothyroidism in patients with Hodgkin's lymphoma. In two validation studies in patients with HNC, c-statistics ranged from 0.65 to 0.68, but calibration performance was not reported. One validation study was rated as having a high ROB and the other was rated as being unclear in the analysis domain. Models for temporal lobe injury Amongst six models for temporal lobe injury, two were externally validated at least twice. The OuYang 2023 model, using deep learning in patients with nasopharyngeal cancer, was validated in the same paper using two different cohorts. C-statistics ranged from 0.80 to 0.82, while calibration performance was assessed in both cohorts. Both validations were judged as having low ROB in all domains. The Wen 2021 model was developed to predict temporal lobe injury in newly diagnosed nasopharyngeal cancer patients. The model was validated by OuYang 2023 using two cohorts. C-statistics ranged from 0.77 to 0.79, while calibration performance was not reported. Both validations were judged as having unclear ROB in the analysis domain. Models for outcomes related to hoarseness, fatigue, nausea-vomiting, throat pain, aspiration No models were externally validated at least twice.

Authors' conclusions: Amongst 592 developed models, a limited number had adequate quality. Only one-fifth were externally validated, of which, only nine models at least twice. These nine models showed acceptable discriminative performance at external validation. However, their calibration performance was not always reported. Furthermore, most validation studies were judged as having high ROB, mainly due to problems in the analysis domain. In conclusion, this review shows the need for more external validation studies before the implementation of developed models in clinical practice and improvement of the quality of conducting and reporting of prediction model studies.

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Conflict of interest statement

Toshihiko Takada: none known.

Makbule Tambas: none known.

Enrico Clementel: none known.

Artuur Leeuwenberg: none known.

Marjan Sharabiani: Funded by the European Organisation for Research and Treatment of Cancer.

Johanna AAG Damen: none known.

Zoë S Dunias: none known.

Jan Nauta: none known.

Demy L Idema: none known.

Jungyeon Choi: none known.

Lotta M Meijerink: none known.

Johannes A Langendijk: Member of the Global Advisory Board of IBA, for which honoraria was paid to the UMCG Research BV. Member of RayCare Clinical Advisory Board (no honorarium). The Department of Radiation Oncology of UMCG has research agreements with and funding from IBA, RaySearch and Elekta.

Karel GM Moons: none known.

Ewoud Schuit: none known.

Enrico Clementel and Marjan Sharabiani are authors of Sharabiani 2021. Johanes A Langendijk is an author of Beetz 2012a, Beetz 2012b, Beetz 2012c, Christianen 2012, Christianen 2016, Kalendralis 2022, Kamstra 2015, Kanayama 2018, Langendijk 2009, Langendijk 2021, Morimoto 2019, Rwigema 2019, Van den Bosch 2021, Van Rijn‐Dekker 2023, Wopken 2014a, Wopken 2014b. Karel GM Moons is an author of Van den Bosch 2021. Ewoud Schuit is an author of Langendijk 2021, Van den Bosch 2021, and Van Rijn‐Dekker 2023. These authors were not involved in evaluating those studies in which they had been involved (in the study conduct, analysis, and publication).

Update of

References

References to studies included in this review

Abdollahi 2023 {published data only}
    1. Abdollahi H, Dehesh T, Abdalvand N, Rahmim A. Radiomics and dosiomics-based prediction of radiotherapy-induced xerostomia in head and neck cancer patients. International Journal of Radiation Biology 2023;99(11):1669-83. [DOI: 10.1080/09553002.2023.2214206] - DOI
Alterio 2017 {published data only}
    1. Alterio D, Gerardi MA, Cella L, Spoto R, Zurlo V, Sabbatini A, et al. Radiation-induced acute dysphagia: prospective observational study on 42 head and neck cancer patients. Strahlentherapie und Onkologie 2017;193(11):971-81.
Anderson 2018 {published data only}
    1. Anderson NJ, Jackson JE, Smith JG, Wada M, Schneider M, Poulsen M, et al. Pretreatment risk stratification of feeding tube use in patients treated with intensity-modulated radiotherapy for head and neck cancer. Head & Neck 2018;40(10):2181-92.
Bakhshandeh 2013 {published data only}
    1. Bakhshandeh M, Hashemi B, Mahdavi SR, Nikoofar A, Vasheghani M, Kazemnejad A. Normal tissue complication probability modeling of radiation-induced hypothyroidism after head-and-neck radiation therapy. International Journal of Radiation Oncology, Biology, Physics 2013;85(2):514-21.
Beetz 2012a {published data only}
    1. Beetz I, Schilstra C, Burlage FR, Koken PW, Doornaert P, Bijl HP, et al. Development of NTCP models for head and neck cancer patients treated with three-dimensional conformal radiotherapy for xerostomia and sticky saliva: the role of dosimetric and clinical factors. Radiotherapy and Oncology 2012;105(1):86-93.
Beetz 2012b {published data only}
    1. Beetz I, Schilstra C, Van der Schaaf AJ, Van den Heuvel ER, Doornaert P, Van Luijk P, et al. NTCP models for patient-rated xerostomia and sticky saliva after treatment with intensity modulated radiotherapy for head and neck cancer: the role of dosimetric and clinical factors. Radiotherapy and Oncology 2012;105(1):101-6.
Beetz 2012c {published data only}
    1. Beetz I, Schilstra C, Van Luijk, Christianen ME, Doornaert P, Bijl HP, et al. External validation of three dimensional conformal radiotherapy based NTCP models for patient-rated xerostomia and sticky saliva among patients treated with intensity modulated radiotherapy. Radiotherapy and Oncology 2012;105(1):94-100.
Bhide 2012 {published data only}
    1. Bhide SA, Gulliford S, Schick U, Miah A, Zaidi S, Newbold K, et al. Dose-response analysis of acute oral mucositis and pharyngeal dysphagia in patients receiving induction chemotherapy followed by concomitant chemo-IMRT for head and neck cancer. Radiotherapy and Oncology 2012;103(1):88-91.
Bin 2022 {published data only}
    1. Bin X, Zhu C, Tang Y, Li R, Ding Q, Xia W, et al. Nomogram based on clinical and radiomics data for predicting radiation-induced temporal lobe injury in patients with non-metastatic stage T4 nasopharyngeal carcinoma. Clinical Oncology 2022;34(12):e482-e492. [DOI: 10.1016/j.clon.2022.07.007] - DOI
Blanchard 2016 {published data only}
    1. Blanchard P, Wong AJ, Gunn GB, Garden AS, Mohamed AS, Rosenthal DI, et al. Toward a model-based patient selection strategy for proton therapy: external validation of photon-derived normal tissue complication probability models in a head and neck proton therapy cohort. Radiotherapy and Oncology 2016;121(3):381-6.
Blanco 2005 {published data only}
    1. Blanco AI, Chao KS, Naqa El, Franklin GE, Zakarian K, Vicic M, et al. Dose-volume modeling of salivary function in patients with head-and-neck cancer receiving radiotherapy. International Journal of Radiation Oncology, Biology, Physics 2005;62(4):1055-69.
Boomsma 2012 {published data only}
    1. Boomsma MJ, Bijl HP, Christianen ME, Beetz I, Chouvalova O, Steenbakkers RJ, et al. A prospective cohort study on radiation-induced hypothyroidism: development of an NTCP model. International Journal of Radiation Oncology, Biology, Physics 2012;84(3):e351-e356.
Buettner 2012 {published data only}
    1. Buettner F, Miah AB, Gulliford SL, Hall E, Harrington KJ, Webb S, et al. Novel approaches to improve the therapeutic index of head and neck radiotherapy: an analysis of data from the PARSPORT randomised phase III trial. Radiotherapy and Oncology 2012;103(1):82-7.
Busato 2023 {published data only}
    1. Busato F, Fiorentin D, Bettinelli A, Anile G, Ghi MG, Scaggion A, et al. Dosiomic-based prediction of dysgeusia in head & neck cancer patients treated with radiotherapy. Radiotherapy and Oncology 2023;188:109896. [DOI: 10.1016/j.radonc.2023.109896] - DOI
Cavallo 2021 {published data only}
    1. Cavallo A, Iacovelli NA, Facchinetti N, Rancati T, Alfieri S, Giandini T, et al. Modelling radiation-induced salivary dysfunction during IMRT and chemotherapy for nasopharyngeal cancer patients. Cancers 2021;13(16):06. [DOI: 10.3390/cancers13163983] - DOI
Chao 2001 {published data only}
    1. Chao KS, Deasy JO, Markman J, Haynie J, Perez CA, Purdy JA, et al. A prospective study of salivary function sparing in patients with head-and-neck cancers receiving intensity-modulated or three-dimensional radiation therapy: initial results. International Journal of Radiation Oncology, Biology, Physics 2001;49(4):907-16.
Chao 2022 {published data only}
    1. Chao M, El Naqa I, Bakst RL, Lo YC, Penagaricano JA. Cluster model incorporating heterogeneous dose distribution of partial parotid irradiation for radiotherapy induced xerostomia prediction with machine learning methods. Acta Oncologica 2022;61(7):842-8. [DOI: 10.1080/0284186x.2022.2073187] - DOI
Chen 2013 {published data only}
    1. Chen WC, Lai CH, Lee TF, Hung CH, Liu KC, Tsai MF, et al. Scintigraphic assessment of salivary function after intensity-modulated radiotherapy for head and neck cancer: correlations with parotid dose and quality of life. Oral Oncology 2013;49(1):42-8.
Cheng 2018 {published data only}
    1. Cheng Z, Nakatsugawa M, Hu C, Robertson SP, Hui X, Moore JA, et al. Evaluation of classification and regression tree (CART) model in weight loss prediction following head and neck cancer radiation therapy. Advances in Radiation Oncology 2018;3(3):346-55.
Cheng 2019 {published data only}
    1. Cheng Z, Nakatsugawa M, Zhou XC, Hu C, Greco S, Kiess A, et al. Utility of a clinical decision support system in weight loss prediction after head and neck cancer radiotherapy. JCO Clinical Cancer Informatics 2019;3:1-11.
Cheraghi 2017 {published data only}
    1. Cheraghi S, Nikoofar A, Bakhshandeh M, Khoei S, Farahani S, Abdollahi H, et al. Normal tissue complication probability modeling of radiation-induced sensorineural hearing loss after head-and-neck radiation therapy. International Journal of Radiation Biology 2017;93(12):1327-33.
Chow 2019 {published data only}
    1. Chow JC, Cheung KM, Au KH, Zee BC, Lee J, Ngan RK, et al. Radiation-induced hypoglossal nerve palsy after definitive radiotherapy for nasopharyngeal carcinoma: clinical predictors and dose-toxicity relationship. Radiotherapy and Oncology 2019;138:93-8.
Christianen 2012 {published data only}
    1. Christianen ME, Schilstra C, Beetz I, Muijs CT, Chouvalova O, Burlage FR, et al. Predictive modelling for swallowing dysfunction after primary (chemo)radiation: results of a prospective observational study. Radiotherapy and Oncology 2012;105(1):107-14.
Christianen 2016 {published data only}
    1. Christianen ME, Van der Schaaf AJ, Van der Laan HP, Verdonck-de Leeuw IM, Doornaert P, Chouvalova O, et al. Swallowing sparing intensity modulated radiotherapy (SW-IMRT) in head and neck cancer: clinical validation according to the model-based approach. Radiotherapy and Oncology 2016;118(2):298-303.
Dale 2016 {published data only}
    1. Dale T, Hutcheson K, Mohamed AS, Lewin JS, Gunn GB, Rao AU, et al. Beyond mean pharyngeal constrictor dose for beam path toxicity in non-target swallowing muscles: dose-volume correlates of chronic radiation-associated dysphagia (RAD) after oropharyngeal intensity modulated radiotherapy. Radiotherapy and Oncology 2016;118(2):304-14.
Dean 2016 {published data only}
    1. Dean JA, Wong KH, Welsh LC, Jones AB, Schick U, Newbold KL, et al. Normal tissue complication probability (NTCP) modelling using spatial dose metrics and machine learning methods for severe acute oral mucositis resulting from head and neck radiotherapy. Radiotherapy and Oncology 2016;120(1):21-7.
Dean 2018 {published data only}
    1. Dean J, Wong K, Gay H, Welsh L, Jones AB, Schick U, et al. Incorporating spatial dose metrics in machine learning-based normal tissue complication probability (NTCP) models of severe acute dysphagia resulting from head and neck radiotherapy. Clinical and Translational Radiation Oncology 2018;8:27-39.
Deneuve 2023 {published data only}
    1. Deneuve S, Bastogne T, Duclos M, Mirjolet C, Bois P, Bachmann P, et al. Predicting acute severe toxicity for head and neck squamous cell carcinomas by combining dosimetry with a radiosensitivity biomarker: a pilot study. Tumori 2023;109(2):173-85. [DOI: 10.1177/03008916221078061] - DOI
Deutsch 2021 {published data only}
    1. Deutsch BC, Collopy C, Kallogjeri D, Piccirillo JF. Validation of hearing loss prediction tool for cisplatin chemotherapy and radiation in head and neck cancer treatment. JAMA Otolaryngology - Head & Neck Surgery 2021;147(2):182-9.
Dijkema 2010 {published data only}
    1. Dijkema T, Raaijmakers CP, Ten Haken RK, Roesink JM, Braam PM, Houweling AC, et al. Parotid gland function after radiotherapy: the combined Michigan and Utrecht experience. International Journal of Radiation Oncology, Biology, Physics 2010;78(2):449-53.
Dohopolski 2022 {published data only}
    1. Dohopolski M, Wang K, Morgan H, Sher D, Wang J. Use of deep learning to predict the need for aggressive nutritional supplementation during head and neck radiotherapy. Radiotherapy and Oncology 2022;171:129-38. [DOI: 10.1016/j.radonc.2022.04.016] - DOI
Dong 2023 {published data only}
    1. Dong Y, Zhang J, Lam S, Zhang X, Liu A, Teng X, et al. Multimodal data integration to predict severe acute oral mucositis of nasopharyngeal carcinoma patients following radiation therapy. Cancers 2023;15(7):29. [DOI: 10.3390/cancers15072032] - DOI
Eisbruch 1999 {published data only}
    1. Eisbruch A, Ten Haken RK, Kim HM, Marsh LH, Ship JA. Dose, volume, and function relationships in parotid salivary glands following conformal and intensity-modulated irradiation of head and neck cancer. International Journal of Radiation Oncology, Biology, Physics 1999;45(3):577-87.
Eisbruch 2011 {published data only}
    1. Eisbruch A, Kim HM, Feng FY, Lyden TH, Haxer MJ, Feng M, et al. Chemo-IMRT of oropharyngeal cancer aiming to reduce dysphagia: swallowing organs late complication probabilities and dosimetric correlates. International Journal of Radiation Oncology, Biology, Physics 2011;81(3):e93-e99.
Fanizzi 2022 {published data only}
    1. Fanizzi A, Scognamillo G, Nestola A, Bambace S, Bove S, Comes MC, et al. Transfer learning approach based on computed tomography images for predicting late xerostomia after radiotherapy in patients with oropharyngeal cancer. Frontiers in Medicine 2022;9:993395. [DOI: 10.3389/fmed.2022.993395] - DOI
Guan 2020 {published data only}
    1. Guan W, Xie K, Fan Y, Lin S, Huang R, Tang Q, et al. Development and validation of a nomogram for predicting radiation-induced temporal lobe injury in nasopharyngeal carcinoma. Frontiers in Oncology 2020;10:594494.
Gupta 2015 {published data only}
    1. Gupta T, Hotwani C, Kannan S, Master Z, Rangarajan V, Murthy V, et al. Prospective longitudinal assessment of parotid gland function using dynamic quantitative pertechnate scintigraphy and estimation of dose-response relationship of parotid-sparing radiotherapy in head-neck cancers. Radiation Oncology (London, England) 2015;10:67.
Hamada 2023 {published data only}
    1. Hamada K, Fujibuchi T, Arakawa H, Yokoyama Y, Yoshida N, Ohura H, et al. A novel approach to predict acute radiation dermatitis in patients with head and neck cancer using a model based on Bayesian probability. Physica Medica 2023;116:103181. [DOI: 10.1016/j.ejmp.2023.103181] - DOI
Hansen 2019 {published data only}
    1. Hansen CR, Friborg J, Jensen K, Samsoe E, Johnsen L, Zukauskaite R, et al. NTCP model validation method for DAHANCA patient selection of protons versus photons in head and neck cancer radiotherapy. Acta Oncologica 2019;58(10):1410-5.
Hansen 2020 {published data only}
    1. Hansen CR, Bertelsen A, Zukauskaite R, Johnsen L, Bernchou U, Thwaites DI, et al. Prediction of radiation-induced mucositis of H&N cancer patients based on a large patient cohort. Radiotherapy and Oncology 2020;147:15-21.
He 2023 {published data only}
    1. He YQ, Luo LT, Wang TM, Xue WQ, Yang DW, Li DH, et al. Clinical and genome-wide association analysis of chemoradiation-induced hearing loss in nasopharyngeal carcinoma. Human Genetics 2023;142(6):759-72. [DOI: 10.1007/s00439-023-02554-0] - DOI
He 2024 {published data only}
    1. He YQ, Wang TM, Yang DW, Xue WQ, Deng CM, Li DH, et al. A comprehensive predictive model for radiation-induced brain injury in risk stratification and personalized radiotherapy of nasopharyngeal carcinoma. Radiotherapy and Oncology 2024;190:109974. [DOI: 10.1016/j.radonc.2023.109974] - DOI
Hosseinian 2023 {published data only}
    1. Hosseinian S, Hemmati M, Dede C, Salzillo TC, Van Dijk LV, Mohamed AS, et al. Cluster-based toxicity estimation of osteoradionecrosis via unsupervised machine learning: moving beyond single dose-parameter normal tissue complication probability by using whole dose-volume histograms for cohort risk stratification. MedRxiv 2023;29:29. [DOI: 10.1101/2023.03.24.23287710] - DOI
Houweling 2010 {published data only}
    1. Houweling AC, Philippens ME, Dijkema T, Roesink JM, Terhaard CH, Schilstra C, et al. A comparison of dose-response models for the parotid gland in a large group of head-and-neck cancer patients. International Journal of Radiation Oncology, Biology, Physics 2010;76(4):1259-65.
Huang 2022 {published data only}
    1. Huang C, Chen H, Zhang X, Zhang Q, Liu J, Yu H, et al. A nomogram to predict critical weight loss in patients with nasopharyngeal carcinoma during (chemo) radiotherapy. Clinical Medicine Insights. Oncology 2022;16:11795549221103730. [DOI: 10.1177/11795549221103730] - DOI
Humbert‐Vidan 2021 {published data only}
    1. Humbert-Vidan L, Patel V, Oksuz I, King AP, Guerrero Urbano T. Comparison of machine learning methods for prediction of osteoradionecrosis incidence in patients with head and neck cancer. British Journal of Radiology 2021;94(1120):20200026.
Huynh 2023 {published data only}
    1. Huynh TM, Dale E, Falk RS, Hellebust TP, Astrup GL, Malinen E, et al. Radiation-induced long-term dysphagia in survivors of head and neck cancer and association with dose-volume parameters. Radiotherapy and Oncology 2023;190:110044. [DOI: 10.1016/j.radonc.2023.110044] - DOI
Kalendralis 2022 {published data only}
    1. Kalendralis P, Sloep M, Moni G, Snel J, Veugen J, Hoebers F, et al. Independent validation of a dysphagia dose response model for the selection of head and neck cancer patients to proton therapy. Physics & Imaging in Radiation Oncology 2022;24:47-52. [DOI: 10.1016/j.phro.2022.09.005] - DOI
Kamal 2020 {published data only}
    1. Kamal M, Peeler CR, Yepes P, Mohamed AS, Blanchard P, Frank S, et al. Radiation-induced hypothyroidism after radical intensity modulated radiation therapy for oropharyngeal carcinoma. Advances in Radiation Oncology 2020;5(1):111-9.
Kamstra 2015 {published data only}
    1. Kamstra JI, Dijkstra PU, Van Leeuwen, Roodenburg JL, Langendijk JA. Mouth opening in patients irradiated for head and neck cancer: a prospective repeated measures study. Oral Oncology 2015;51(5):548-55.
Kanayama 2018 {published data only}
    1. Kanayama N, Kierkels RG, Van der Schaaf AJ, Steenbakkers R, Yoshioka Y, Nishiyama K, et al. External validation of a multifactorial normal tissue complication probability model for tube feeding dependence at 6 months after definitive radiotherapy for head and neck cancer. Radiotherapy and Oncology 2018;129(2):403-8.
Kanehira 2021 {published data only}
    1. Kanehira T, Van Kranen S, Jansen T, Hamming-Vrieze O, Al-Mamgani A, Sonke JJ. Comparisons of normal tissue complication probability models derived from planned and delivered dose for head and neck cancer patients. Radiotherapy and Oncology 2021;164:209-15. [DOI: 10.1016/j.radonc.2021.09.015] - DOI
Karsten 2019 {published data only}
    1. Karsten RT, Stuiver MM, Van der Molen, Navran A, De Boer JP, Hilgers FJ, et al. From reactive to proactive tube feeding during chemoradiotherapy for head and neck cancer: A clinical prediction model-based approach. Oral Oncology 2019;88:172-9.
Kawamura 2019 {published data only}
    1. Kawamura M, Yoshimura M, Asada H, Nakamura M, Matsuo Y, Mizowaki T. A scoring system predicting acute radiation dermatitis in patients with head and neck cancer treated with intensity-modulated radiotherapy. Radiation Oncology (London, England) 2019;14(1):14.
Kinclova 2020 {published data only}
    1. Kinclova I, Hajtmanova E, Matula P, Balentova S, Murin P, Duroska M, et al. Model-based calculation of thyroid gland normal tissue complication probability in head and neck cancer patients after radiation therapy. Strahlentherapie und Onkologie 2020;3:03.
Koiwai 2010 {published data only}
    1. Koiwai K, Shikama N, Sasaki S, Shinoda A, Kadoya M. Validation of the Total Dysphagia Risk Score (TDRS) as a predictive measure for acute swallowing dysfunction induced by chemoradiotherapy for head and neck cancers. Radiotherapy and Oncology 2010;97(1):132-5.
Kraaijenga 2019 {published data only}
    1. Kraaijenga SA, Hamming-Vrieze O, Verheijen S, Lamers E, Van der Molen L, Hilgers FJ, et al. Radiation dose to the masseter and medial pterygoid muscle in relation to trismus after chemoradiotherapy for advanced head and neck cancer. Head & Neck 2019;41(5):1387-94.
Krasin 2012 {published data only}
    1. Krasin MJ, Wiese KM, Spunt SL, Hua CH, Daw N, Navid F, et al. Jaw dysfunction related to pterygoid and masseter muscle dosimetry after radiation therapy in children and young adults with head-and-neck sarcomas. International Journal of Radiation Oncology, Biology, Physics 2012;82(1):355-60.
Langendijk 2009 {published data only}
    1. Langendijk JA, Doornaert P, Rietveld DH, Verdonck-de Leeuw IM, Leemans CR, Slotman BJ. A predictive model for swallowing dysfunction after curative radiotherapy in head and neck cancer. Radiotherapy and Oncology 2009;90(2):189-95.
Langendijk 2021 {published data only}
    1. Langendijk JA, Hoebers FJ, De Jong MA, Doornaert P, Terhaard CH, Steenbakkers R, et al. National protocol for model-based selection for proton therapy in head and neck cancer. International Journal of Particle Therapy 2021;8(1):354-65. [DOI: 10.14338/IJPT-20-00089.1] - DOI
Langius 2016 {published data only}
    1. Langius JA, Twisk J, Kampman M, Doornaert P, Kramer MH, Weijs PJ, et al. Prediction model to predict critical weight loss in patients with head and neck cancer during (chemo)radiotherapy. Oral Oncology 2016;52:91-6.
Lee 2012 {published data only}
    1. Lee TF, Chao PJ, Wang HY, Hsu HC, Chang P, Chen WC. Normal tissue complication probability model parameter estimation for xerostomia in head and neck cancer patients based on scintigraphy and quality of life assessments. BMC Cancer 2012;12:567.
Lee 2014a {published data only}
    1. Lee TF, Chao PJ, Ting HM, Chang L, Huang YJ, Wu JM, et al. Using multivariate regression model with least absolute shrinkage and selection operator (LASSO) to predict the incidence of xerostomia after intensity-modulated radiotherapy for head and neck cancer. PLoS ONE [Electronic Resource] 2014;9(2):e89700.
Lee 2014b {published data only}
    1. Lee TF, Liou MH, Huang YJ, Chao PJ, Ting HM, Lee HY, et al. LASSO NTCP predictors for the incidence of xerostomia in patients with head and neck squamous cell carcinoma and nasopharyngeal carcinoma. Scientific Reports 2014;4:6217.
Lee 2015a {published data only}
    1. Lee TF, Yeh SA, Chao PJ, Chang L, Chiu CL, Ting HM, et al. Normal tissue complication probability modeling for cochlea constraints to avoid causing tinnitus after head-and-neck intensity-modulated radiation therapy. Radiation Oncology (London, England) 2015;10:194.
Lee 2015b {published data only}
    1. Lee TF, Liou MH, Ting HM, Chang L, Lee HY, Wan L, et al. Patient- and therapy-related factors associated with the incidence of xerostomia in nasopharyngeal carcinoma patients receiving parotid-sparing helical tomotherapy. Scientific Reports 2015;5:13165.
Lee 2023 {published data only}
    1. Lee TF, Lee SH, Tseng CD, Lin CH, Chiu CM, Lin GZ, et al. Using machine learning algorithm to analyse the hypothyroidism complications caused by radiotherapy in patients with head and neck cancer. Scientific Reports 2023;13(1):19185. [DOI: 10.1038/s41598-023-46509-x] - DOI
Lescut 2013 {published data only}
    1. Lescut N, Personeni E, Desmarets M, Puyraveau M, Hamlaoui R, Servagi-Vernat S, et al. [Evaluation of a predictive score for malnutrition in patients treated by irradiation for head and neck cancer: a retrospective study in 127 patients]. Cancer Radiotherapie 2013;17(7):649-55.
Li 2020 {published data only}
    1. Li PJ, Li KX, Jin T, Lin HM, Fang JB, Yang SY, et al. Predictive model and precaution for oral mucositis during chemo-radiotherapy in nasopharyngeal carcinoma patients. Frontiers in Oncology 2020;10:596822.
Li 2022a {published data only}
    1. Li M, Zhang J, Zha Y, Li Y, Hu B, Zheng S, et al. A prediction model for xerostomia in locoregionally advanced nasopharyngeal carcinoma patients receiving radical radiotherapy. BMC Oral Health 2022;22(1):239. [DOI: 10.1186/s12903-022-02269-0] - DOI
Li 2022b {published data only}
    1. Li Y, Sakai M, Tsunoda A, Kubo N, Kitada Y, Kubota Y, et al. Normal tissue complication probability model for acute radiation dermatitis in patients with head and neck cancer treated with carbon ion radiation therapy. International Journal of Radiation Oncology, Biology, Physics 2022;113(3):675-84. [DOI: 10.1016/j.ijrobp.2022.03.002] - DOI
Li 2023 {published data only}
    1. Li Y, Sijtsema NM, De Vette SP, Steenbakkers R, Zhang F, Noordzij W, et al. Validation of the F-FDG PET image biomarker model predicting late xerostomia after head and neck cancer radiotherapy. Radiotherapy and Oncology 2023;180:109458. [DOI: 10.1016/j.radonc.2022.109458] - DOI
Lindblom 2014 {published data only}
    1. Lindblom U, Garskog O, Kjellen E, Laurell G, Levring J, Wahlberg P, et al. Radiation-induced trismus in the ARTSCAN head and neck trial. Acta Oncologica 2014;53(5):620-7.
Ling 2020 {published data only}
    1. Ling DC, Vargo JA, Grimm RJ, Gebhardt BJ, Clump DA, Ferris RL, et al. Dose-response model for severe late laryngeal toxicity after stereotactic body radiation therapy for previously-irradiated head and neck cancer. Journal of Radiosurgery and Stereotactic Body Radiation Therapy 2020;7(2):89-94.
Liu 2019 {published data only}
    1. Liu Y, Shi H, Huang S, Chen X, Zhou H, Chang H, et al. Early prediction of acute xerostomia during radiation therapy for nasopharyngeal cancer based on delta radiomics from CT images. Quantitative Imaging in Medicine & Surgery 2019;9(7):1288-302.
Liu 2022 {published data only}
    1. Liu Z, Huang L, Wang H, Shi Z, Huang Y, Liang L, et al. Predicting nomogram for severe oral mucositis in patients with nasopharyngeal carcinoma during intensity-modulated radiation therapy: a retrospective cohort study. Current Oncology (Toronto, Ont.) 2022;30(1):219-32. [DOI: 10.3390/curroncol30010017] - DOI
Luo 2017 {published data only}
    1. Luo R, Li M, Yang Z, Zhan Y, Huang B, Lu J, et al. Nomogram for radiation-induced hypothyroidism prediction in nasopharyngeal carcinoma after treatment. British Journal of Radiology 2017;90(1070):20160686.
Luo 2018 {published data only}
    1. Luo R, Wu VW, He B, Gao X, Xu Z, Wang D, et al. Development of a normal tissue complication probability (NTCP) model for radiation-induced hypothyroidism in nasopharyngeal carcinoma patients. BMC Cancer 2018;18(1):575.
Marzi 2009 {published data only}
    1. Marzi S, Iaccarino G, Pasciuti K, Soriani A, Benassi M, Arcangeli G, et al. Analysis of salivary flow and dose-volume modeling of complication incidence in patients with head-and-neck cancer receiving intensity-modulated radiotherapy. International Journal of Radiation Oncology, Biology, Physics 2009;73(4):1252-9.
Marzi 2021 {published data only}
    1. Marzi S, Farneti A, Marucci L, D'Urso P, Vidiri A, Gangemi E, et al. The role of patient- and treatment-related factors and early functional imaging in late radiation-induced xerostomia in oropharyngeal cancer patients. Cancers 2021;13(24):15. [DOI: 10.3390/cancers13246296] - DOI
Mavroidis 2003 {published data only}
    1. Mavroidis P, Laurell G, Kraepelien T, Fernberg JO, Lind BK, Brahme A. Determination and clinical verification of dose-response parameters for esophageal stricture from head and neck radiotherapy. Acta Oncologica 2003;42(8):865-81.
Mavroidis 2017 {published data only}
    1. Mavroidis P, Price A, Fried D, Kostich M, Amdur R, Mendenhall W, et al. Dose-volume toxicity modeling for de-intensified chemo-radiation therapy for HPV-positive oropharynx cancer. Radiotherapy and Oncology 2017;124(2):240-7.
Mavroidis 2018 {published data only}
    1. Mavroidis P, Grimm J, Cengiz M, Das S, Tan X, Yazici G, et al. Fitting NTCP models to SBRT dose and carotid blowout syndrome data. Medical Physics 2018;45(10):4754-62.
MD Anderson  2019 {published data only}
    1. MD Anderson Head and Neck Cancer Symptom Working Group, Spatial-Non-Spatial Multi-Dimensional Analysis of Radiotherapy Treatment/Toxicity Team (SMART3). Chronic radiation-associated dysphagia in oropharyngeal cancer survivors: towards age-adjusted dose constraints for deglutitive muscles. Clinical and Translational Radiation Oncology 2019;18:16-22.
Men 2019 {published data only}
    1. Men K, Geng H, Zhong H, Fan Y, Lin A, Xiao Y. A deep learning model for predicting xerostomia due to radiation therapy for head and neck squamous cell carcinoma in the RTOG 0522 clinical trial. International Journal of Radiation Oncology, Biology, Physics 2019;105(2):440-7.
Mori 2019 {published data only}
    1. Mori M, Cattaneo GM, Dell'Oca I, Foti S, Calandrino R, Di Muzio NG, et al. Skin DVHs predict cutaneous toxicity in head and neck cancer patients treated with tomotherapy. Physica Medica 2019;59:133-41.
Morimoto 2019 {published data only}
    1. Morimoto M, Bijl HP, Van der Schaaf A, Xu CJ, Steenbakkers R, Chouvalova O, et al. Development of normal tissue complication probability model for trismus in head and neck cancer patients treated with radiotherapy: the role of dosimetric and clinical factors. Anticancer Research 2019;39(12):6787-98.
Murthy 2018 {published data only}
    1. Murthy V, Lewis S, Kannan S, Khadanga CR, Rangarajan V, Joshi K, et al. Submandibular function recovery after IMRT in head and neck cancer: a prospective dose modelling study. Radiotherapy and Oncology 2018;129(1):38-43.
Musha 2020 {published data only}
    1. Musha A, Fukata K, Saitoh JI, Shirai K, Abe T, Mizukami T, et al. Tongue surface model can predict radiation tongue mucositis due to intensity-modulated radiation therapy for head and neck cancer. International Journal of Oral and Maxillofacial Surgery 2020;49(1):44-50. [DOI: 10.1016/j.ijom.2019.06.012] - DOI
Nevens 2016 {published data only}
    1. Nevens D, Deschuymer S, Langendijk JA, Daisne JF, Duprez F, De Neve W, et al. Validation of the total dysphagia risk score (TDRS) in head and neck cancer patients in a conventional and a partially accelerated radiotherapy scheme. Radiotherapy and Oncology 2016;118(2):293-7.
Nourissat 2010 {published data only}
    1. Nourissat A, Bairati I, Samson E, Fortin A, Gelinas M, Nabid A, et al. Predictors of weight loss during radiotherapy in patients with stage I or II head and neck cancer. Cancer 2010;116(9):2275-83.
Nowicka 2020 {published data only}
    1. Nowicka Z, Tomasik B, Papis-Ubych A, Bibik R, Graczyk L, Latusek T, et al. Radiation-induced hypothyroidism in patients with oropharyngeal cancer treated with IMRT: independent and external validation of five normal tissue complication probability models. Cancers 2020;12(9):22.
Onjukka 2020 {published data only}
    1. Onjukka E, Mercke C, Bjorgvinsson E, Embring A, Berglund A, Alexandersson von Dobeln G, et al. Modeling of xerostomia after radiotherapy for head and neck cancer: a registry study. Frontiers in Oncology 2020;10:1647.
Orlandi 2018 {published data only}
    1. Orlandi E, Iacovelli NA, Rancati T, Cicchetti A, Bossi P, Pignoli E, et al. Multivariable model for predicting acute oral mucositis during combined IMRT and chemotherapy for locally advanced nasopharyngeal cancer patients. Oral Oncology 2018;86:266-72.
OuYang 2023 {published data only}
    1. OuYang PY, Zhang BY, Guo JG, Liu JN, Li J, Peng QH, et al. Deep learning-based precise prediction and early detection of radiation-induced temporal lobe injury for nasopharyngeal carcinoma. EClinicalMedicine 2023;58:101930. [DOI: 10.1016/j.eclinm.2023.101930] - DOI
Padannayil 2023 {published data only}
    1. Padannayil NM, Sharma DS, Nangia S, Patro KC, Gaikwad U, Burela N. IMPT of head and neck cancer: unsupervised machine learning treatment planning strategy for reducing radiation dermatitis. Radiation Oncology (London, England) 2023;18(1):11. [DOI: 10.1186/s13014-023-02201-y] - DOI
Pan 2020a {published data only}
    1. Pan XB, Liu Y, Li L, Qu S, Chen L, Liang SX, et al. Prognostic nomogram of xerostomia for patients with nasopharyngeal carcinoma after intensity-modulated radiotherapy. Aging 2020;12(2):1857-66.
Pan 2020b {published data only}
    1. Pan XB, Liu Y, Huang ST, Pei S, Chen KH, Qu S, et al. Dosimetry of submandibular glands on xerostomia for nasopharyngeal carcinoma. Frontiers in Oncology 2020;10:601403.
Peng 2020 {published data only}
    1. Peng L, Mao YP, Huang CL, Guo R, Ma J, Wen WP, et al. A new model for predicting hypothyroidism after intensity-modulated radiotherapy for nasopharyngeal carcinoma. Frontiers in Oncology 2020;10:551255.
Peuker 2022 {published data only}
    1. Peuker L, Rolf D, Oertel M, Peuker A, Scobioala S, Hering D, et al. Definition of an normal tissue complication probability model for the inner ear in definitive radiochemotherapy of nasopharynx carcinoma. Cancers 2022;14(14):14. [DOI: 10.3390/cancers14143422] - DOI
Pota 2017 {published data only}
    1. Pota M, Scalco E, Sanguineti G, Farneti A, Cattaneo GM, Rizzo G, et al. Early prediction of radiotherapy-induced parotid shrinkage and toxicity based on CT radiomics and fuzzy classification. Artificial Intelligence in Medicine 2017;81:41-53.
Qin 2023 {published data only}
    1. Qin Y, Chang C, Huang L, Yin Y, Wang R. Predicting late radiation-induced xerostomia in nasopharyngeal carcinoma based on radiomics features extracted from T2WI images of parotids. Radiation Medicine and Protection 2023;4(3):125-9. [DOI: 10.1016/j.radmp.2023.06.002] - DOI
Rachi 2023 {published data only}
    1. Rachi T, Ariji T, Takahashi S. Development of programs to predict the occurrence of mucositis from digital imaging and communications in medicine data by machine learning in head and neck volumetric modulated radiotherapy. Journal of Applied Clinical Medical Physics 2023;24(12):e14125. [DOI: 10.1002/acm2.14125] - DOI
Rades 2022 {published data only}
    1. Rades D, Warwas B, Cremers F, Gerull K, Pries R, Leichtle A, et al. The first prognostic tool to estimate the risk of late grade >=3 xerostomia in patients irradiated for head-and-neck cancer. Anticancer Research 2022;42(6):3035-9. [DOI: 10.21873/anticanres.15789] - DOI
Rancati 2009 {published data only}
    1. Rancati T, Fiorino C, Sanguineti G. NTCP modeling of subacute/late laryngeal edema scored by fiberoptic examination. International Journal of Radiation Oncology, Biology, Physics 2009;75(3):915-23.
Rao 2016 {published data only}
    1. Rao SD, Saleh ZH, Setton J, Tam M, McBride SM, Riaz N, et al. Dose-volume factors correlating with trismus following chemoradiation for head and neck cancer. Acta Oncologica 2016;55(1):99-104.
Ren 2021 {published data only}
    1. Ren W, Liang B, Sun C, Wu R, Men K, Xu Y, et al. Dosiomics-based prediction of radiation-induced hypothyroidism in nasopharyngeal carcinoma patients. Physica Medica 2021;89:219-25. [DOI: 10.1016/j.ejmp.2021.08.009] - DOI
Renda 2020 {published data only}
    1. Renda L, Tsai TY, Huang JJ, Ito R, Hsieh WC, Kao HK, et al. A nomogram to predict osteoradionecrosis in oral cancer after marginal mandibulectomy and radiotherapy. Laryngoscope 2020;130(1):101-7.
Ritlumlert 2023 {published data only}
    1. Ritlumlert N, Wongwattananard S, Prayongrat A, Oonsiri S, Kitpanit S, Kannarunimit D, et al. Improved prediction of radiation-induced hypothyroidism in nasopharyngeal carcinoma using pre-treatment CT radiomics. Scientific Reports 2023;13(1):17437. [DOI: 10.1038/s41598-023-44439-2] - DOI
Ronjom 2013 {published data only}
    1. Ronjom MF, Brink C, Bentzen SM, Hegedus L, Overgaard J, Johansen J. Hypothyroidism after primary radiotherapy for head and neck squamous cell carcinoma: normal tissue complication probability modeling with latent time correction. Radiotherapy and Oncology 2013;109(2):317-22.
Ronjom 2015 {published data only}
    1. Ronjom MF, Brink C, Bentzen SM, Hegedus L, Overgaard J, Petersen JB, et al. External validation of a normal tissue complication probability model for radiation-induced hypothyroidism in an independent cohort. Acta Oncologica 2015;54(9):1301-9.
Rosen 2018 {published data only}
    1. Rosen BS, Hawkins PG, Polan DF, Balter JM, Brock KK, Kamp JD, et al. Early changes in serial CBCT-measured parotid gland biomarkers predict chronic xerostomia after head and neck radiation therapy. International Journal of Radiation Oncology, Biology, Physics 2018;102(4):1319-29.
Rwigema 2019 {published data only}
    1. Rwigema JC, Langendijk JA, Van der Laan HP, Lukens JN, Swisher-McClure SD, Lin A. A model-based approach to predict short-term toxicity benefits with proton therapy for oropharyngeal cancer. International Journal of Radiation Oncology Biology Physics 2019;104(3):553-62.
Schuette 2019 {published data only}
    1. Schuette A, Lander DP, Kallogjeri D, Collopy C, Goddu S, Wildes TM, et al. Predicting hearing loss after radiotherapy and cisplatin chemotherapy in patients with head and neck cancer. JAMA Otolaryngology Head & Neck Surgery 2019;21:21.
Schuette 2020 {published data only}
    1. Schuette A, Lander DP, Kallogjeri D, Collopy C, Goddu S, Wildes TM, et al. Predicting hearing loss after radiotherapy and cisplatin chemotherapy in patients with head and neck cancer. JAMA Otolaryngology - Head & Neck Surgery 2020;146(2):106-12. [DOI: 10.1001/jamaoto.2019.3550] - DOI
Scrimger 2004 {published data only}
    1. Scrimger RA, Stavrev P, Parliament MB, Field C, Thompson H, Stavreva N, et al. Phenomenologic model describing flow reduction for parotid gland irradiation with intensity-modulated radiotherapy: evidence of significant recovery effect. International Journal of Radiation Oncology, Biology, Physics 2004;60(1):178-85.
Sharabiani 2021 {published data only}
    1. Sharabiani M, Clementel E, Andratschke N, Collette L, Fortpied C, Grégoire V, et al. Independent external validation using the EORTC HNCG-ROG 1219 DAHANCA trial data of NTCP models for acute oral mucositis. Radiotherapy and Oncology 2021;161:35-9. [DOI: 10.1016/j.radonc.2021.04.006] - DOI
Sheikh 2019 {published data only}
    1. Sheikh K, Lee SH, Cheng Z, Lakshminarayanan P, Peng L, Han P, et al. Predicting acute radiation induced xerostomia in head and neck cancer using MR and CT radiomics of parotid and submandibular glands. Radiation Oncology (London, England) 2019;14(1):131.
Shen 2021 {published data only}
    1. Shen G, Peng Y, Li J, Wu H, Zhang G, Zhao C, et al. Multivariate NTCP model of hypothyroidism after intensity-modulated radiotherapy for nasopharyngeal carcinoma. Frontiers in Oncology 2021;11:714536. [DOI: 10.3389/fonc.2021.714536] - DOI
Sheu 2014 {published data only}
    1. Sheu T, Fuller CD, Mendoza TR, Garden AS, Morrison WH, Beadle BM, et al. Nomogram for predicting symptom severity during radiation therapy for head and neck cancer. Otolaryngology - Head & Neck Surgery 2014;151(4):619-26.
Shirai 2017 {published data only}
    1. Shirai K, Fukata K, Adachi A, Saitoh JI, Musha A, Abe T, et al. Dose-volume histogram analysis of brainstem necrosis in head and neck tumors treated using carbon-ion radiotherapy. Radiotherapy and Oncology 2017;125(1):36-40.
Shorter 2017 {published data only}
    1. Shorter P, Harden F, Owen R, Panizza B, Burmeister B, Sommerville J, et al. Risk profiles for sensorineural hearing loss in patients with head and neck cancer receiving cisplatin-based chemoradiation. Journal of Medical Imaging and Radiation Sciences 2017;48(1):61-7.
Sijtsema 2023 {published data only}
    1. Sijtsema ND, Verduijn GM, Nasserinejad K, Van Norden Y, Mast H, Van der Lugt A, et al. Development of a local dose-response relationship for osteoradionecrosis within the mandible. Radiotherapy and Oncology 2023;186:109736. [DOI: 10.1016/j.radonc.2023.109736] - DOI
Singh 2023 {published data only}
    1. Singh B, Singh G, Oinam AS, Kumar V, Vashistha R, Sidhu MS, et al. Radiobiological modeling of radiation-induced acute mucosal toxicity (oral mucositis and pharyngeal mucositis): a single-institutional study of head-and-neck carcinoma. Journal of Cancer Research and Therapeutics 2023;19(Suppl):S0-S1715. [DOI: 10.4103/jcrt.jcrt_504_21] - DOI
Singla 2021 {published data only}
    1. Singla V, Nautiyal V, Gupta M, Kumar V, Mehra S, Ahmad M. Study of dosimetry and clinical factors for assessment of xerostomia in head and neck squamous cell carcinoma treated by intensity-modulated radiotherapy: a prospective study. Journal of Carcinogenesis 2021;20:14. [DOI: 10.4103/jcar.jcar_5_21] - DOI
Soares 2014 {published data only}
    1. Soares I, Rocha H, Dias J, Lopes DCM, Ferreira B. Predicting xerostomia induced by IMRT treatments: a logistic regression approach. In: IEEE International Conference on Bioinformatics and Biomedicine (BIBM). Institute of Electrical and Electronics Engineers Inc., 2014:72-7.
Soares 2018 {published data only}
    1. Soares I, Dias J, Rocha H, Khouri L, Do Carmo, Lopes, et al. Predicting xerostomia after IMRT treatments: a data mining approach. Health and Technology 2018;8(1):159-68.
Soderstrom 2017 {published data only}
    1. Soderstrom K, Nilsson P, Laurell G, Zackrisson B, Jaghagen EL. Dysphagia - results from multivariable predictive modelling on aspiration from a subset of the ARTSCAN trial. Radiotherapy and Oncology 2017;122(2):192-9.
Somay 2023 {published data only}
    1. Somay E, Yilmaz B, Topkan E, Kucuk A, Pehlivan B, Selek U. The predictive usefulness of the novel “combined hemoglobin-to-platelet ratio and maximum mouth opening index” on prevalence of radiation induced trismus in patients with nasopharyngeal cancer. Head & Neck 2023;45(7):1823-31. [DOI: 10.1002/hed.27400] - DOI
Suresh 2010 {published data only}
    1. Suresh AV, Varma PP, Sinha S, Deepika S, Raman R, Srinivasan M, et al. Risk-scoring system for predicting mucositis in patients of head and neck cancer receiving concurrent chemoradiotherapy [rssm-hn]. Journal of Cancer Research and Therapeutics 2010;6(4):448-51.
Teguh 2013 {published data only}
    1. Teguh DN, Levendag PC, Ghidey W, Van Montfort, Kwa SL. Risk model and nomogram for dysphagia and xerostomia prediction in head and neck cancer patients treated by radiotherapy and/or chemotherapy. Dysphagia 2013;28(3):388-94.
Teng 2021 {published data only}
    1. Teng F, Fan W, Luo Y, Xu S, Gong H, Ge R, et al. A risk prediction model by LASSO for radiation-induced xerostomia in patients with nasopharyngeal carcinoma treated with comprehensive salivary gland-sparing helical tomotherapy technique. Frontiers in Oncology 2021;11:633556.
Tenhunen 2018 {published data only}
    1. Tenhunen M, Tuomikoski L, Collan J, Loimu V, Saarilahti K. Linear model for salivary gland dose response. Radiation and Oncology 2018;127:S1081-S1082.
Theunissen 2015 {published data only}
    1. Theunissen EA, Zuur CL, Jozwiak K, Lopez-Yurda M, Hauptmann M, Rasch CR, et al. Prediction of hearing loss due to cisplatin chemoradiotherapy. JAMA Otolaryngology - Head & Neck Surgery 2015;141(9):810-5.
Thor 2017 {published data only}
    1. Thor M, Owosho AA, Clark HD, Oh JH, Riaz N, Hovan A, et al. Internal and external generalizability of temporal dose-response relationships for xerostomia following IMRT for head and neck cancer. Radiotherapy and Oncology 2017;122(2):200-6.
Tomasik 2021 {published data only}
    1. Tomasik B, Papis-Ubych A, Stawiski K, Fijuth J, Kedzierawski P, Sadowski J, et al. Serum microRNAs as xerostomia biomarkers in patients with oropharyngeal cancer undergoing radiation therapy. International Journal of Radiation Oncology, Biology, Physics 2021;111(5):1237-49. [DOI: 10.1016/j.ijrobp.2021.07.008] - DOI
Tsai 2017 {published data only}
    1. Tsai CJ, Jackson A, Setton J, Riaz N, McBride S, Leeman J, et al. Modeling dose response for late dysphagia in patients with head and neck cancer in the modern era of definitive chemoradiation. JCO Clinical Cancer Informatics 2017;1:1-7.
Tsai 2023 {published data only}
    1. Tsai MH, Chang JT, Lu HH, Wu YH, Pao TH, Cheng YJ, et al. Development and validation of a machine learning model of radiation-induced hypothyroidism with clinical and dose-volume features. Radiotherapy and Oncology 2023;189:109911. [DOI: 10.1016/j.radonc.2023.109911] - DOI
Tuomikoski 2015 {published data only}
    1. Tuomikoski L, Kapanen M, Collan J, Keyrilainen J, Saarilahti K, Loimu V, et al. Toward a more patient-specific model of post-radiotherapy saliva secretion for head and neck cancer patients. Acta Oncologica 2015;54(9):1310-6.
Tzikas 2023 {published data only}
    1. Tzikas A, Lavdas E, Kehagias D, Amdur R, Mendenhall W, Sheets N, et al. NTCP modelling of xerostomia after radiotherapy for oropharyngeal cancer using the PRO-CTCAE and CTCAE scoring systems at different time-points post-RT. Physica Medica 2023;116:103169. [DOI: 10.1016/j.ejmp.2023.103169] - DOI
Ursino 2020 {published data only}
    1. Ursino S, Giuliano A, Martino FD, Cocuzza P, Molinari A, Stefanelli A, et al. Incorporating dose-volume histogram parameters of swallowing organs at risk in a videofluoroscopy-based predictive model of radiation-induced dysphagia after head and neck cancer intensity-modulated radiation therapy. Strahlentherapie und Onkologie 2020;197:209-18.
Van den Bosch 2021 {published data only}
    1. Van den Bosch L, Van der Schaaf A, Van der Laan HP, Hoebers FJ, Wijers OB, Van den Hoek JG, et al. Comprehensive toxicity risk profiling in radiation therapy for head and neck cancer: a new concept for individually optimised treatment. Radiotherapy and Oncology 2021;157:147-54.
Van Dijk 2021 {published data only}
    1. Van Dijk LV, Abusaif AA, Rigert J, Naser MA, Hutcheson KA, Lai SY, et al. Normal tissue complication probability (NTCP) prediction model for osteoradionecrosis of the mandible in patients with head and neck cancer after radiation therapy: large-scale observational cohort. International Journal of Radiation Oncology, Biology, Physics 2021;111(2):549-58. [DOI: 10.1016/j.ijrobp.2021.04.042] - DOI
Van Rijn‐Dekker 2023 {published data only}
    1. Van Rijn-Dekker MI, Van Luijk P, Schuit E, Van der Schaaf A, Langendijk JA, Steenbakkers RJHM. Prediction of radiation-induced parotid gland-related xerostomia in patients with head and neck cancer: regeneration-weighted dose. International Journal of Radiation Oncology, Biology, Physics 2023;117(3):750-62. [DOI: 10.1016/j.ijrobp.2023.04.034] - DOI
Verduijn 2023 {published data only}
    1. Verduijn GM, Sijtsema ND, Van Norden Y, Heemsbergen WD, Mast H, Sewnaik A, et al. Accounting for fractionation and heterogeneous dose distributions in the modelling of osteoradionecrosis in oropharyngeal carcinoma treatment. Radiotherapy and Oncology 2023;188:109889. [DOI: 10.1016/j.radonc.2023.109889] - DOI
Vidyasagar 2020 {published data only}
    1. Vidyasagar N, Manur G. Predicting toxicity for head and neck cancer patients undergoing radiation therapy: an independent and external validation of MDASI-HN based nomogram. Reports of Practical Oncology & Radiotherapy 2020;25(3):355-9.
Wang 2019 {published data only}
    1. Wang J, Miao Y, Ou X, Wang X, He X, Shen C, et al. Development and validation of a model for temporal lobe necrosis for nasopharyngeal carcinoma patients with intensity modulated radiation therapy. Radiation Oncology (London, England) 2019;14(1):42.
Wang 2020 {published data only}
    1. Wang J, Liu R, Zhao Y, Nantavithya C, Elhalawani H, Zhu H, et al. A predictive model of radiation-related fibrosis based on the radiomic features of magnetic resonance imaging and computed tomography. Translational Cancer Research 2020;9(8):4726-38.
Wang 2022 {published data only}
    1. Wang T, Hu J, Huang Q, Wang W, Zhang X, Zhang L, et al. Development of a normal tissue complication probability (NTCP) model using an artificial neural network for radiation-induced necrosis after carbon ion re-irradiation in locally recurrent nasopharyngeal carcinoma. Annals of Translational Medicine 2022;10(22):1194. [DOI: 10.21037/atm-20-7805] - DOI
Wang 2024 {published data only}
    1. Wang C, Hou Y, Wang L, Yang Y, Li X. Analysis of correlative risk factors for radiation-induced hypothyroidism in head and neck tumors. BMC Cancer 2024;24(1):5. [DOI: 10.1186/s12885-023-11749-7] - DOI
Ward 2019 {published data only}
    1. Ward MC, Lee NY, Caudell JJ, Zajichek A, Awan MJ, Koyfman SA, et al. A competing risk nomogram to predict severe late toxicity after modern re-irradiation for squamous carcinoma of the head and neck. Oral Oncology 2019;90:80-6.
Wen 2021 {published data only}
    1. Wen DW, Lin L, Mao YP, Chen CY, Chen FP, Wu CF, et al. Normal tissue complication probability (NTCP) models for predicting temporal lobe injury after intensity-modulated radiotherapy in nasopharyngeal carcinoma: a large registry-based retrospective study from China. Radiotherapy and Oncology 2021;157:99-105.
Wentzel 2023 {published data only}
    1. Wentzel A, Mohamed AS, Naser MA, Van Dijk LV, Hutcheson K, Moreno AM, et al. Multi-organ spatial stratification of 3-D dose distributions improves risk prediction of long-term self-reported severe symptoms in oropharyngeal cancer patients receiving radiotherapy: development of a pre-treatment decision support tool. Frontiers in Oncology 2023;13:1210087. [DOI: 10.3389/fonc.2023.1210087] - DOI
Werbrouck 2009 {published data only}
    1. Werbrouck J, De Ruyck, Duprez F, Veldeman L, Claes K, Van Eijkeren M, et al. Acute normal tissue reactions in head-and-neck cancer patients treated with IMRT: influence of dose and association with genetic polymorphisms in DNA DSB repair genes. International Journal of Radiation Oncology, Biology, Physics 2009;73(4):1187-95.
Wilkie 2020 {published data only}
    1. Wilkie JR, Mierzwa ML, Casper KA, Mayo CS, Schipper MJ, Eisbruch A, et al. Predicting late radiation-induced xerostomia with parotid gland PET biomarkers and dose metrics. Radiotherapy and Oncology 2020;148:30-7.
Willemsen 2019 {published data only}
    1. Willemsen AC, Kok A, Van Kuijk SM, Baijens LW, De Bree, Devriese LA, et al. Prediction model for tube feeding dependency during chemoradiotherapy for at least four weeks in head and neck cancer patients: a tool for prophylactic gastrostomy decision making. Clinical Nutrition (Edinburgh, Scotland) 2019;3:03.
Willemsen 2020 {published data only}
    1. Willemsen AC, Kok A, Van Kuijk SM, Baijens LW, De Bree R, Devriese LA, et al. Prediction model for tube feeding dependency during chemoradiotherapy for at least four weeks in head and neck cancer patients: a tool for prophylactic gastrostomy decision making. Clinical Nutrition (Edinburgh, Scotland) 2020;39(8):2600-8. [DOI: 10.1016/j.clnu.2019.11.033] - DOI
Willemsen 2022 {published data only}
    1. Willemsen AC, Kok A, Baijens LW, De Boer JP, De Bree R, Devriese LA, et al. Development and external validation of a prediction model for tube feeding dependency for at least four weeks during chemoradiotherapy for head and neck cancer. Clinical Nutrition (Edinburgh, Scotland) 2022;41(1):177-85. [DOI: 10.1016/j.clnu.2021.11.019] - DOI
Wongwattananard 2023 {published data only}
    1. Wongwattananard S, Prayongrat A, Srimaneekarn N, Hayter A, Sophonphan J, Kiatsupaibul S, et al. A multivariable normal tissue complication probability model for predicting radiation-induced hypothyroidism in nasopharyngeal carcinoma patients in the modern radiotherapy era. Journal of Radiation Research 2023;22:22. [DOI: 10.1093/jrr/rrad091] - DOI
Wopken 2014a {published data only}
    1. Wopken K, Bijl HP, Van der Schaaf A, Christianen ME, Chouvalova O, Oosting SF, et al. Development and validation of a prediction model for tube feeding dependence after curative (chemo-) radiation in head and neck cancer. PLoS ONE [Electronic Resource] 2014;9(4):e94879.
Wopken 2014b {published data only}
    1. Wopken K, Bijl HP, Van der Schaaf A, Van der Laan HP, Chouvalova O, Steenbakkers RJ, et al. Development of a multivariable normal tissue complication probability (NTCP) model for tube feeding dependence after curative radiotherapy/chemo-radiotherapy in head and neck cancer. Radiotherapy and Oncology 2014;113(1):95-101.
Wu 2019 {published data only}
    1. Wu L, Chung YL. Tumor-infiltrating t cell receptor-beta repertoires are linked to the risk of late chemoradiation-induced temporal lobe necrosis in locally advanced nasopharyngeal carcinoma. International Journal of Radiation Oncology, Biology, Physics 2019;104(1):165-76.
Wu 2022 {published data only}
    1. Wu YL, Li WF, Yang KB, Chen L, Shi JR, Chen FP, et al. Long-term evaluation and normal tissue complication probability (NTCP) models for predicting radiation-induced optic neuropathy after intensity-modulated radiation therapy (IMRT) for nasopharyngeal carcinoma: a large retrospective study in China. Journal of Oncology 2022;2022:3647462. [DOI: 10.1155/2022/3647462] - DOI
Yahya 2022 {published data only}
    1. Yahya N, Linge A, Leger K, Maile T, Kemper M, Haim D, et al. Assessment of gene expressions from squamous cell carcinoma of the head and neck to predict radiochemotherapy-related xerostomia and dysphagia. Acta Oncologica 2022;61(7):856-63. [DOI: 10.1080/0284186x.2022.2081931] - DOI
Yan 2021 {published data only}
    1. Yan JJ, Guo SS, Lin DF, Liu LT, Liu SL, Xiao BB, et al. Development and validation of a normal tissue complication probability model for acquired nasal cavity stenosis and atresia after radical radiotherapy for nasopharyngeal carcinoma. Radiotherapy and Oncology 2021;160:9-17. [DOI: 10.1016/j.radonc.2021.03.040] - DOI
Yang 2021 {published data only}
    1. Yang K, Xie W, Zhang X, Wang Y, Shou A, Wang Q, et al. A nomogram for predicting late radiation-induced xerostomia among locoregionally advanced nasopharyngeal carcinoma in intensity modulated radiation therapy era. Aging 2021;13(14):18645-57. [DOI: 10.18632/aging.203308] - DOI
Yang 2023 {published data only}
    1. Yang SS, OuYang PY, Guo JG, Cai JJ, Zhang J, Peng QH, et al. Dosiomics risk model for predicting radiation induced temporal lobe injury and guiding individual intensity-modulated radiation therapy. International Journal of Radiation Oncology, Biology, Physics 2023;115(5):1291-300. [DOI: 10.1016/j.ijrobp.2022.11.036] - DOI
Yang 2023a {published data only}
    1. Yang SS, Peng QH, Wu AQ, Zhang BY, Liu ZQ, Chen EN, et al. Radiomics and dosiomics for predicting radiation-induced hypothyroidism and guiding intensity-modulated radiotherapy. IScience 2023;26(12):108394. [DOI: 10.1016/j.isci.2023.108394] - DOI
Yu 2016 {published data only}
    1. Yu YH, Xia WX, Shi JL, Ma WJ, Li Y, Ye YF, et al. A model to predict the risk of lethal nasopharyngeal necrosis after re-irradiation with intensity-modulated radiotherapy in nasopharyngeal carcinoma patients. Chinese Journal of Cancer 2016;35(1):59.
Zeng 2015 {published data only}
    1. Zeng L, Huang SM, Tian YM, Sun XM, Han F, Lu TX, et al. Normal tissue complication probability model for radiation-induced temporal lobe injury after intensity-modulated radiation therapy for nasopharyngeal carcinoma. Radiology 2015;276(1):243-9.
Zhou 2020 {published data only}
    1. Zhou L, Chen J, Tao CJ, Huang S, Zhang J, Shen W, et al. Hematological indexes can be used to predict the incidence of hypothyroidism in nasopharyngeal carcinoma patients after radiotherapy. BioMed Research International 2020;2020:3860936.
Zhu 2021 {published data only}
    1. Zhu MY, Wu HJ, Miao JJ, Di MP, Chen BY, Huang HG, et al. Radiation-induced hypothyroidism in patients with nasopharyngeal carcinoma treated with intensity-modulated radiation therapy with or without chemotherapy: development of a nomogram based on the equivalent dose. Oral Oncology 2021;120:105378. [DOI: 10.1016/j.oraloncology.2021.105378] - DOI
Zhu 2024 {published data only}
    1. Zhu H, Ou X, Hu C, Ying H, Lu X, Hu W, et al. A MRI-based radiomics combined prediction model for radiation-induced temporal lobe injury in nasopharyngeal carcinoma patients. Journal of Radiation Research and Applied Sciences 2024;17(1):100774. [DOI: 10.1016/j.jrras.2023.100774] - DOI

References to studies excluded from this review

Aarup‐Kristensen 2019 {published data only}
    1. Aarup-Kristensen S, Hansen CR, Forner L, Brink C, Eriksen JG, Johansen J. Osteoradionecrosis of the mandible after radiotherapy for head and neck cancer: risk factors and dose-volume correlations. Acta Oncologica 2019;58(10):1373-7.
Abdollahi 2018 {published data only}
    1. Abdollahi H, Mostafaei S, Cheraghi S, Shiri I, Rabi M, Kazemnejad A. Cochlea CT radiomics predicts chemoradiotherapy induced sensorineural hearing loss in head and neck cancer patients: a machine learning and multi-variable modelling study. Physica Medica 2018;45:192-7.
Adenis 2013 {published data only}
    1. Adenis A, Tresch E, Dewas S, Romano O, Messager M, Amela E, et al. Clinical complete responders to definite chemoradiation or radiation therapy for oesophageal cancer: predictors of outcome. BMC Cancer 2013;13:413.
Agarwal 2009 {published data only}
    1. Agarwal JP, Mallick I, Bhutani R, Ghosh-Laskar S, Gupta T, Budrukkar A, et al. Prognostic factors in oropharyngeal cancer - analysis of 627 cases receiving definitive radiotherapy. Acta Oncologica 2009;48(7):1026-33.
Agarwalla 2015 {published data only}
    1. Agarwalla A, Small AJ, Mendelson AH, Scott FI, Kochman ML. Risk of recurrent or refractory strictures and outcome of endoscopic dilation for radiation-induced esophageal strictures. Surgical Endoscopy 2015;29(7):1903-12.
Agren 1990 {published data only}
    1. Agren A, Brahme A, Turesson I. Optimization of uncomplicated control for head and neck tumors. International Journal of Radiation Oncology, Biology, Physics 1990;19(4):1077-85.
Ahamed 2016 {published data only}
    1. Ahamed SW, Mahamud O, Shwe MT, Kwok LL, Chua KL, Wee J, et al. Multimodal testing of DNA damage response markers for prediction of normal tissue toxicities following head and neck intensity modulated radiation therapy. International Journal of Radiation Oncology 2016;96(2):E592.
Ahmed 2019 {published data only}
    1. Ahmed S, Brodin P, Guha C, Kalnicki S, Tome WA, Kabarriti R, et al. The radiation dose received by the parotid gland stem cell region based on mid-treatment imaging can predict patient-reported xerostomia. International Journal of Radiation Oncology Biology Physics 2019;105(1):E432.
Akagunduz 2022 {published data only}
    1. Akagunduz OO, Yilmaz SG, Tavlayan E, Baris ME, Afrashi F, Esassolak M. Radiation-induced ocular surface disorders and retinopathy: ocular structures and radiation dose-volume effect. Cancer Research and Treatment 2022;54(2):417-23. [DOI: 10.4143/crt.2021.575] - DOI
Akashi 2018 {published data only}
    1. Akashi M, Teraoka S, Kakei Y, Kusumoto J, Hasegawa T, Minamikawa T, et al. Computed tomographic evaluation of posttreatment soft-tissue changes by using a lymphedema scoring system in patients with oral cancer. Lymphatic Research and Biology 2018;16(2):147-53.
Akgun 2014 {published data only}
    1. Akgun Z, Atasoy BM, Ozen Z, Yavuz D, Gulluoglu B, Sengoz M, et al. V30 as a predictor for radiation-induced hypothyroidism: a dosimetric analysis in patients who received radiotherapy to the neck. Radiation Oncology (London, England) 2014;9:104.
Alevronta 2010 {published data only}
    1. Alevronta E, Ahlberg A, Mavroidis P, Al-Abany M, Friesland S, Tilikidis A, et al. Dose-response relations for stricture in the proximal oesophagus from head and neck radiotherapy. Radiotherapy and Oncology 2010;97(1):54-9.
Alexidis 2022 {published data only}
    1. Alexidis P, Bangeas P, Efthymiadis K, Drevelegkas K, Kolias P. Investigating factors associated to dysphagia and need for percutaneous endoscopic gastrostomy in patients with head and neck cancer receiving radiation therapy. Journal of Cancer 2022;13(5):1523-9. [DOI: 10.7150/jca.69130] - DOI
Alexidis 2023 {published data only}
    1. Alexidis P, Kolias P, Mentesidou V, Topalidou M, Kamperis E, Giannouzakos V, et al. Investigating predictive factors of dysphagia and treatment prolongation in patients with oral cavity or oropharyngeal cancer receiving radiation therapy concurrently with chemotherapy. Current Oncology (Toronto, Ont.) 2023;30(5):5168-78. [DOI: 10.3390/curroncol30050391] - DOI
Alicikus 2009 {published data only}
    1. Alicikus ZA, Akman F, Ataman OU, Dag N, Orcin E, Bakis B, et al. Importance of patient, tumour and treatment related factors on quality of life in head and neck cancer patients after definitive treatment. European Archives of Oto-Rhino-Laryngology 2009;266(9):1461-8.
Alizade‐Harakiyan 2020 {published data only}
    1. Alizade-Harakiyan M, Jangjoo AG, Motlagh BN, Jafari-Koshki T, Okutan M, Mesbahi A. Radiobiological modeling of acute esophagitis following radiotherapy of thorax and head-neck tumors: a comparison of Lyman Kutcher Burman with equivalent uniform dose-based models. Iranian Journal of Medical Physics 2020;17(4):225-34.
Alizade‐Harakiyan 2022 {published data only}
    1. Alizade-Harakiyan M, Jangjoo AG, Jafari-Koshki T, Fatemi A, Mesbahi A. Radiobiological modeling of acute esophagitis after radiation therapy of head, neck, and thorax tumors: the influence of chemo-radiation. Journal of Cancer Research and Therapeutics 2022;18(6):1706-15. [DOI: 10.4103/jcrt.jcrt_504_21] - DOI
Al‐Mamgani 2013 {published data only}
    1. Al-Mamgani A, Van Rooij PH, Woutersen DP, Mehilal R, Tans L, Monserez Det al. Radiotherapy for T1-2N0 glottic cancer: a multivariate analysis of predictive factors for the long-term outcome in 1050 patients and a prospective assessment of quality of life and voice handicap index in a subset of 233 patients. Clinical Otolaryngology 2013;38(4):306-12.
Al‐Othman 2003 {published data only}
    1. Al-Othman MO, Amdur RJ, Morris CG, Hinerman RW, Mendenhall WM. Does feeding tube placement predict for long-term swallowing disability after radiotherapy for head and neck cancer? Head & Neck 2003;25(9):741-7.
Amiri 2023 {published data only}
    1. Amiri S, Abdolali F, Neshastehriz A, Nikoofar A, Farahani S, Firoozabadi LA, et al. A machine learning approach for prediction of auditory brain stem response in patients after head-and-neck radiation therapy. Journal of Cancer Research and Therapeutics 2023;19(5):1219-25. [DOI: 10.4103/jcrt.jcrt_2298_21] - DOI
Amosson 2003a {published data only}
    1. Amosson CM, Teh BS, Van TJ, Uy N, Huang E, Mai WY, et al. Dosimetric predictors of xerostomia for head-and-neck cancer patients treated with the SMART (simultaneous modulated accelerated radiation therapy) boost technique. International Journal of Radiation Oncology Biology Physics 2003;56(1):136-44.
Amosson 2003b {published data only}
    1. Amosson CM, Teh BS, Van TJ, Uy N, Huang E, Mai WY, et al. Dosimetric predictors of xerostomia for head-and-neck cancer patients treated with the SMART (simultaneous modulated accelerated radiation therapy) boost technique. International Journal of Radiation Oncology Biology Physics 2003;56(1):136-44.
Anderson 2012 {published data only}
    1. Anderson N, Wada M, Schneider-Kolsky M, Rolfo M, Lim J, Khoo V. Dose-volume response in acute dysphagia and peg dependence: validating QUANTEC recommendations for head and IMRT. International Journal of Radiation Oncology Biology Physics 2012;84(3):S529.
Anderson 2014 {published data only}
    1. Anderson NJ, Wada M, Schneider-Kolsky M, Rolfo M, Joon DL, Khoo V. Dose-volume response in acute dysphagia toxicity: validating QUANTEC recommendations into clinical practice for head and neck radiotherapy. Acta Oncologica 2014;53(10):1305-11.
Arts 2017 {published data only}
    1. Arts T, Breedveld S, De Jong MA, Astreinidou E, Tans L, Keskin-Cambay F, et al. The impact of treatment accuracy on proton therapy patient selection for oropharyngeal cancer patients. Radiotherapy and Oncology 2017;125(3):520-5.
Astaburuaga 2019 {published data only}
    1. Astaburuaga R, Gabrys HS, Sanchez-Nieto B, Floca RO, Kluter S, Schubert K, et al. Incorporation of dosimetric gradients and parotid gland migration into xerostomia prediction. Frontiers in Oncology 2019;9:697.
Astreinidou 2004 {published data only}
    1. Astreinidou E, Dehnad H, Terhaard CH, Raaijmakers CP. Level II lymph nodes and radiation-induced xerostomia. International Journal of Radiation Oncology, Biology, Physics 2004;58(1):124-31.
Astrup 2015 {published data only}
    1. Astrup GL, Rustoen T, Miaskowski C, Paul SM, Bjordal K. Changes in and predictors of pain characteristics in patients with head and neck cancer undergoing radiotherapy. Pain 2015;156(5):967-79.
Augustin 2017 {published data only}
    1. Augustin NH, Kim SW, Uhlig A, Hanser C, Henke M, Schumacher M. A flexible multivariate random effects proportional odds model with application to adverse effects during radiation therapy. Biometrical Journal 2017;59(6):1339-51.
Austin 2011 {published data only}
    1. Austin K, Payten C, Shields P, Simcock R. Predictors of post-treatment dysphagia in a cohort of patients with head and neck cancer. Clinical Oncology 2011;23(3):S29.
Aylward 2020 {published data only}
    1. Aylward A, Park J, Abdelaziz S, Hunt JP, Buchmann LO, Cannon RB, et al. Individualized prediction of late-onset dysphagia in head and neck cancer survivors. Head & Neck 2020;42:708-18.
Aziz 2016 {published data only}
    1. Aziz HA, Singh N, Bena J, Wilkinson A, Singh AD. Vision loss following episcleral brachytherapy for uveal melanoma: development of a vision prognostication tool. JAMA Ophthalmology 2016;134(6):615-20.
Badiyan 2012 {published data only}
    1. Badiyan SN, Rao RC, Apicelli AJ, Acharya S, Garsa AA, DeWees T, et al. I-125 episcleral plaque brachytherapy for uveal melanoma: a 15-year single institution experience. International Journal of Radiation Oncology Biology Physics 2012;84(3):S196.
Bae 2012 {published data only}
    1. Bae JS, Roh JL, Lee SW, Kim SB, Kim JS, Lee JH, et al. Laryngeal edema after radiotherapy in patients with squamous cell carcinomas of the larynx and hypopharynx. Oral Oncology 2012;48(9):853-8.
Bair 2013 {published data only}
    1. Bair RJ, Chaudhary A, Bair ED, Partouche J, Witt M, Villaflor VM, et al. Dysphagia and aspiration after chemoradiation therapy for locoregionally-advanced head-and-neck cancer: a prospective study of the dose effect relationship in accelerated fractionation by concomitant boost with cisplatin and cetuximab from the epic trial. International Journal of Radiation Oncology Biology Physics 2013;87(2):S142.
Bairati 2009 {published data only}
    1. Bairati I, Nourissat A, Meyer F. Factors associated with weight loss during radiation therapy in patients with stage I or II head and neck cancer. Supportive Care in Cancer 2009;17(7):1003-4.
Baker 2019 {published data only}
    1. Baker S, Verduijn GM, Petit S, Sewnaik A, Mast H, Koljenovic S, et al. Long-term outcomes following stereotactic body radiotherapy boost for oropharyngeal squamous cell carcinoma. Acta Oncologica 2019;58(6):926-33.
Bandlamudi 2018 {published data only}
    1. Bandlamudi B, Sharan K, Yathiraj P, Singh A, Reddy A, Fernandes D, et al. A study on the impact of patient-related parameters in the ability to spare parotid glands by intensity-modulated radiotherapy for head and neck squamous cell carcinomas. Journal of Cancer Research and Therapeutics 2018;14(6):1220-4.
Bansal 2023 {published data only}
    1. Bansal A, Bedi N, Kaur R, Singh G, Benipal RP, Dangwal V. Correlation of oral mucosa dose and volume parameters with grade 3 mucositis, in patients treated with volumetric modulated arc radiotherapy for oropharyngeal cancer? Japanese Journal of Clinical Oncology 2023;53(4):313-20. [DOI: 10.1093/jjco/hyac194] - DOI
Bao 2022a {published data only}
    1. Bao D, Zhao Y, Li L, Lin M, Zhu Z, Yuan M, et al. A MRI-based radiomics model predicting radiation-induced temporal lobe injury in nasopharyngeal carcinoma. European Radiology 2022;32(10):6910-21. [DOI: 10.1007/s00330-022-08853-w] - DOI
Bao 2022b {published data only}
    1. Bao D, Zhao Y, Liu Z, Xu H, Zhang Y, Yuan M, et al. Magnetic resonance imaging-based radiomics model for predicting radiation-induced temporal lobe injury in nasopharyngeal carcinoma after intensity-modulated radiotherapy. Head & Neck 2022;44(12):2842-53. [DOI: 10.1002/hed.27200] - DOI
Bao 2022c {published data only}
    1. Bao D, Zhao Y, Wu W, Zhong H, Yuan M, Li L, et al. Added value of histogram analysis of ADC in predicting radiation-induced temporal lobe injury of patients with nasopharyngeal carcinoma treated by intensity-modulated radiotherapy. Insights into Imaging 2022;13(1):197. [DOI: 10.1186/s13244-022-01338-w] - DOI
Barnhart 2017 {published data only}
    1. Barnhart MK, Ward EC, Cartmill B, Robinson RA, Simms VA, Chandler SJ, et al. Pretreatment factors associated with functional oral intake and feeding tube use at 1 and 6 months post-radiotherapy (+/- chemotherapy) for head and neck cancer. European Archives of Oto-Rhino-Laryngology 2017;274(1):507-16.
Barringer 2009 {published data only}
    1. Barringer D, Hutcheson K, Tucker S, Dong L, Schwartz D, Lewin J. Dosimetric predictors of long-term dysphagia following oropharyngeal IMRT. Dysphagia 2009;24(4):450.
Barry 2014a {published data only}
    1. Barry PN, Henson AL, Goodwin NE, Cash E, Mezera MA, Wilson L, et al. Factors predicting suitability of organ preservation with radiation therapy in laryngeal and hypopharyngeal cancer. Journal of Solid Tumors 2014;4(4):9-17.
Barry 2014b {published data only}
    1. Barry P, Goodwin N, Henson A, Cash E, Wilson L, Dunlap N. Factors predicting suitability of organ preservation with radiation therapy in laryngeal and hypopharyngeal cancer. Journal of Radiation Oncology 2014;3(2):234-5.
Barua 2021 {published data only}
    1. Barua S, Elhalawani H, Volpe S, Al Feghali KA, Yang P, Ng SP, et al. Computed tomography radiomics kinetics as early imaging correlates of osteoradionecrosis in oropharyngeal cancer patients. Frontiers in Artificial Intelligence 2021;4:618469. [DOI: 10.3389/frai.2021.618469] - DOI
Basu 2019 {published data only}
    1. Basu T, Bhaskar N, Armugam K, Ganeshan P, Saxena U. Clinical and dosimetric correlation between nausea-vomiting, fatigue and late dysphagia related to nervous system structures during radical radiotherapy for squamous cell carcinomas of head and neck. International Journal of Radiation Oncology Biology Physics 2019;105(1):E410-E411.
Batth 2013 {published data only}
    1. Batth SS, Sreeraman R, Dienes E, Beckett LA, Daly ME, Cui J, et al. Clinical-dosimetric relationship between lacrimal gland dose and ocular toxicity after intensity-modulated radiotherapy for sinonasal tumours. British Journal of Radiology 2013;86(1032):20130459.
Beasley 2018 {published data only}
    1. Beasley W, Thor M, McWilliam A, Green A, Mackay R, Slevin N, et al. Image-based data mining to probe dosimetric correlates of radiation-induced trismus. International Journal of Radiation Oncology, Biology, Physics 2018;102(4):1330-8.
Beddok 2023 {published data only}
    1. Beddok A, Maynadier X, Krhili S, Ala Eddine C, Champion L, Chilles A, et al. Predictors of toxicity after curative reirradiation with intensity modulated radiotherapy or proton therapy for recurrent head and neck carcinoma: new dose constraints for pharyngeal constrictors muscles and oral cavity. Strahlentherapie und Onkologie 2023;199(10):901-9. [DOI: 10.1007/s00066-023-02080-y] - DOI
Beetz 2010 {published data only}
    1. Beetz I, Schilstra C, Burlage F, Koken PW, Bijl HP, Doornaert P, et al. Radiation dose in the minor salivary glands and the development of radiation-induced patient-rated xerostomia. Radiotherapy and Oncology 2010;96:S84-S85.
Beetz 2013 {published data only}
    1. Beetz I, Schilstra C, Visink A, Van der Schaaf A, Bijl HP, Van der Laan BFAM, et al. Role of minor salivary glands in developing patient-rated xerostomia and sticky saliva during day and night. Radiotherapy and Oncology 2013;109(2):311-6.
Beetz 2014 {published data only}
    1. Beetz I, Steenbakkers RJ, Chouvalova O, Leemans CR, Doornaert P, Van der Laan BFAM, et al. The QUANTEC criteria for parotid gland dose and their efficacy to prevent moderate to severe patient-rated xerostomia. Acta Oncologica 2014;53(5):597-604.
Behrends 2020 {published data only}
    1. Behrends C, Haussmann J, Kramer PH, Langendijk JA, Gottschlag H, Geismar D, et al. Model-based comparison of organ at risk protection between VMAT and robustly optimised IMPT plans. Zeitschrift fur Medizinische Physik 2020;31:5-15.
Belli 2014 {published data only}
    1. Belli ML, Scalco E, Sanguineti G, Fiorino C, Broggi S, Dinapoli N, et al. Early changes of parotid density and volume predict modifications at the end of therapy and intensity of acute xerostomia. Strahlentherapie und Onkologie 2014;190(11):1001-7.
Bentzen 1996 {published data only}
    1. Bentzen SM, Ruifrok AC, Thames HD. Repair capacity and kinetics for human mucosa and epithelial tumors in the head and neck: clinical data on the effect of changing the time interval between multiple fractions per day in radiotherapy. Radiotherapy and Oncology 1996;38(2):89-101.
Ben‐Yosef 1992 {published data only}
    1. Ben-Yosef R, Kapp DS. Persistent and/or late complications of combined radiation therapy and hyperthermia. International Journal of Hyperthermia 1992;8(6):733-45.
Berger 2022 {published data only}
    1. Berger T, Noble DJ, Shelley LE, McMullan T, Bates A, Thomas S, et al. Predicting radiotherapy-induced xerostomia in head and neck cancer patients using day-to-day kinetics of radiomics features. Physics and Imaging in Radiation Oncology 2022;24:95-101. [DOI: 10.1016/j.phro.2022.10.004] - DOI
Berger 2023a {published data only}
    1. Berger T, Noble DJ, Yang Z, Shelley LE, McMullan T, Bates A, et al. Sub-regional analysis of the parotid glands: model development for predicting late xerostomia with radiomics features in head and neck cancer patients. Acta Oncologica 2023;62(2):166-73. [DOI: 10.1080/0284186x.2023.2179895] - DOI
Berger 2023b {published data only}
    1. Berger T, Noble DJ, Yang Z, Shelley LE, McMullan T, Bates A, et al. Assessing the generalisability of radiomics features previously identified as predictive of radiation-induced sticky saliva and xerostomia. Physics and Imaging in Radiation Oncology 2023;25:100404. [DOI: 10.1016/j.phro.2022.12.001] - DOI
Beschel 2016 {published data only}
    1. Beschel LM, Leu M, Reichardt SD, Rave-Frank M, Schirmer MA, Stadelmann C, et al. T cell abundance in blood predicts acute organ toxicity in chemoradiotherapy for head and neck cancer. Oncotarget 2016;7(40):65902-15.
Bhandare 2009 {published data only}
    1. Bhandare N, Song W, Moiseenko V, Mendenhall W. TU-C-BRB-02: dose-response analysis of radiation-induced sensory neural hearing loss. Medical Physics 2009;36(6):2721.
Bhandare 2012a {published data only}
    1. Bhandare N, Moissenko V, Song WY, Antonelli P, Mendenhall WM. Postradiation otitis media with effusion: modeling the complication probability and determining the parameters of clinical significance. International Journal of Radiation Oncology Biology Physics 2012;84(3):S753.
Bhandare 2012b {published data only}
    1. Bhandare N, Moisseenko V, Song WY, Morris CG, Antonelli P, Mendenhall WM. Evaluating the association between pre- and postradiation therapy otitis media with effusion and the incidence of sensory-neural hearing loss in head-and-neck cancer patients. International Journal of Radiation Oncology Biology Physics 2012;84(3):S515-S516.
Bhattacharyya 2020 {published data only}
    1. Bhattacharyya T, Koto M, Ikawa H, Hayashi K, Hagiwara Y, Tsuji H. Assessment of risk factors associated with development of oronasal fistula as a late complication after carbon-ion radiotherapy for head and neck cancer. Radiotherapy and Oncology 2020;144:53-8.
Bhide 2009 {published data only}
    1. Bhide S, Gulliford S, A'Hern R, Hall E, Newbold K, Harrington K, et al. Quantitative estimates of the effects of concomitant chemotherapy on acute dysphagia in patients receiving radical treatment for head and neck cancer. Journal of Clinical Oncology 2009;27(15):e22134.
Bhide 2011 {published data only}
    1. Bhide S, Ulliford SG, Schick U, Newbold K, Harrinqton K, Nutting C. Clinical radiobiology of the oral and pharyngeal mucosa in patients receiving induction chemotherapy followed by concomitant chemotherapy and IMRT for head and neck cancer. Radiotherapy and Oncology 2011;98:S27.
Bianciotto 2010 {published data only}
    1. Bianciotto C, Shields CL, Pirondini C, Mashayekhi A, Furuta M, Shields JA. Proliferative radiation retinopathy after plaque radiotherapy for uveal melanoma. Ophthalmology 2010;117(5):1005-12.
Bibik 2017 {published data only}
    1. Bibik R, Tomasik B, Papis-Ubych A, Spych M, Niewiarowska H, Gottwald L, et al. Scintigraphic evaluation of salivary function after intensity modulated radiotherapy for head and neck cancer. International Journal of Radiation Oncology Biology Physics 2017;99(2):E378.
Blanchard 2016a {published data only}
    1. Blanchard P, Wong AJ, Gunn GB, Garden AS, Mohamed AS, Rosenthal DI, et al. Toward a model-based strategy for patient selection for proton therapy: external validation of normal tissue complication probability models on a head and neck proton cohort. International Journal of Radiation Oncology 2016;96(2):S223.
Boelke 2013 {published data only}
    1. Boelke E, Matuschek C, Geigis C, Scheckenbach K, Hoffmann T, Greve J, et al. Prediction of requirement of artificial nutrition by dosimetric and clinical factors in head-and-neck cancer patients. International Journal of Radiation Oncology Biology Physics 2013;87(2):S433.
Boguszewicz 2019 {published data only}
    1. Boguszewicz L, Bielen A, Mrochem-Kwarciak J, Skorupa A, Ciszek M, Heyda A, et al. NMR-based metabolomics in real-time monitoring of treatment induced toxicity and cachexia in head and neck cancer: a method for early detection of high risk patients. Metabolomics 2019;15(8):110.
Bolusani 2008 {published data only}
    1. Bolusani H, Okosieme OE, Velagapudi M, Parsons K, Lazarus JH. Determinants of long-term outcome after radioiodine therapy for solitary autonomous thyroid nodules. Endocrine Practice 2008;14(5):543-9.
Bonomo 2019 {published data only}
    1. Bonomo P, Talamonti C, Marrazzo L, Desideri I, Pezzulla D, Dominici L, et al. Is skin dose distribution a predictive factor for the development of severe radiation dermatitis? Radiotherapy and Oncology 2019;133:S665.
Bonomo 2020 {published data only}
    1. Bonomo P, Talamonti C, Desideri I, Marrazzo L, Pezzulla D, Rampini A, et al. Analysis of skin dose distribution for the prediction of severe radiation dermatitis in head and neck squamous cell carcinoma patients treated with concurrent chemo-radiotherapy. Head & Neck 2020;42(2):244-53.
Boomsma 2010 {published data only}
    1. Boomsma-van Holten M, Bijl HP, Christianen M, Beadsmoore C, Chouvalova O, Burlage F, et al. Predictive NTCP model of radiation-induced hypothyroidism: a prospective study. Radiotherapy and Oncology 2010;96:S601-S602.
Boomsma 2011 {published data only}
    1. Boomsma-van Holten M, Bijl HP, Christianen M, Beetz I, Chouvalova O, Steenbakkers R, et al. A NTCP model for radiation-induced hypothyroidism based on a prospective cohort study. Radiotherapy and Oncology 2011;98:S25-S26.
Borchiellini 2010 {published data only}
    1. Borchiellini D, Benezery K, Dassonville O, Marcy PY, Poissonnet G, Chateau Y, et al. Analysis of predictive factors of outcomes for patient with locally advanced unresectable pharyngeal squamous cell carcinoma (LAPSCC) treated with hyperfractionated twice-daily radiotherapy (HFRT) ± cisplatin/fluorouracil (BiRCF trial). International Journal of Radiation Oncology Biology Physics 2010;78(3):S60-S61.
Bordon 2010a {published data only}
    1. Bordon E, Henriquez-Hernandez LA, Lara PC, Ruiz A, Pinar B, Rodriguez-Gallego C, et al. Prediction of clinical toxicity in locally advanced head and neck cancer patients by radio-induced apoptosis in peripheral blood lymphocytes (PBLs). Radiation Oncology (London, England) 2010;5:4.
Bordon 2010b {published data only}
    1. Bordon E, Henŕiquez-Hernandez LA, Lara PC, Ruiz A, Pinar B, Rodriguez-Gallego C, et al. Peripheral blood lymphocytes apoptosis predict radiation-induced late toxicity in head and neck cancer patientes. Radiotherapy and Oncology 2010;96:S612-S613.
Bossi 2013 {published data only}
    1. Bossi P, Mirabile A, Miceli R, Orlandi E, Iannacone E, Denaro N, et al. Clinical and molecular predictors of late patient-reported dysphagia in oropharyngeal cancer treated with intensity modulated radiotherapy concurrently with chemotherapy. Supportive Care in Cancer 2013;21:S234.
Bossi 2016 {published data only}
    1. Bossi P, Bergamini C, Miceli R, Cova A, Orlandi E, Resteghini C, et al. Salivary cytokine levels and oral mucositis in head and neck cancer patients treated with chemotherapy and radiation therapy. International Journal of Radiation Oncology, Biology, Physics 2016;96(5):959-66.
Boustani 2021 {published data only}
    1. Boustani J, Ruffier A, Moya-Plana A, Tao Y, Nguyen F, Even C, et al. Long-term outcomes and safety after reirradiation in locally recurrent nasopharyngeal carcinoma in a non-endemic area. Strahlentherapie und Onkologie 2021;197(3):188-97.
Bowen 2015 {published data only}
    1. Bowen JM, White I, Smith L, Tsykin A, Kristaly K, Thompson SK, et al. Pre-therapy mRNA expression of TNF is associated with regimen-related gastrointestinal toxicity in patients with esophageal cancer: a pilot study. Supportive Care in Cancer 2015;23(11):3165-72.
Bozec 2016 {published data only}
    1. Bozec A, Benezery K, Ettaiche M, Chamorey E, Vandersteen C, Dassonville O, et al. Induction chemotherapy-based larynx preservation program for locally advanced hypopharyngeal cancer: oncologic and functional outcomes and prognostic factors. European Archives of Oto-Rhino-Laryngology 2016;273(10):3299-306.
Braam 2005 {published data only}
    1. Braam PM, Roesink JM, Moerland MA, Raaijmakers CP, Schipper M, Terhaard CH. Long-term parotid gland function after radiotherapy. International Journal of Radiation Oncology, Biology, Physics 2005;62(3):659-64.
Bragante 2015 {published data only}
    1. Bragante K, Wienandts P, Mozzini C, Pinto R, Da Motta N, Jotz G. Jaw mobility changes in patients with upper aerodigestive tract cancer undergoing radiation therapy. Medicina Oral, Patologia Oral y Cirugia Bucal 2015;20(6):e693-e698.
Britton 2012 {published data only}
    1. Britton B, Clover K, Bateman L, Odelli C, Wenham K, Zeman A, et al. Baseline depression predicts malnutrition in head and neck cancer patients undergoing radiotherapy. Supportive Care in Cancer 2012;20(2):335-42.
Brodin 2014 {published data only}
    1. Brodin NP, Maraldo MV, Aznar MC, Vogelius IR, Petersen PM, Bentzen SM, et al. Interactive decision-support tool for risk-based radiation therapy plan comparison for Hodgkin lymphoma. International Journal of Radiation Oncology, Biology, Physics 2014;88(2):433-45.
Brodin 2019 {published data only}
    1. Brodin NP, Kabarriti R, Pankuch M, Schechter CB, Gondi V, Kalnicki S, et al. A quantitative clinical decision-support strategy identifying which patients with oropharyngeal head and neck cancer may benefit the most from proton radiation therapy. International Journal of Radiation Oncology, Biology, Physics 2019;104(3):540-52.
Broggi 2012 {published data only}
    1. Broggi S, Fiorino C, Scalco E, Belli ML, Dell'Oca I, Sanguineti G, et al. Quantitative parameters of parotid deformation during IMRT for head-neck cancer correlate with individually assessed clinical and dosimetry information. Radiotherapy and Oncology 2012;102:S48-S49.
Brooker 2021 {published data only}
    1. Brooker RC, Antczak P, Liloglou T, Risk JM, Sacco JJ, Schache AG, et al. Genetic variants associated with mandibular osteoradionecrosis following radiotherapy for head and neck malignancy. Radiotherapy and Oncology 2021;165:87-93. [DOI: 10.1016/j.radonc.2021.10.020] - DOI
Brouwer 2016 {published data only}
    1. Brouwer C, Steenbakkers R, Van der Schaaf A, Sopacua C, Van Dijk L, Kierkels RG, et al. Selection of head and neck cancer patients for adaptive radiotherapy to decrease xerostomia. Radiotherapy and Oncology 2016;120(1):36-40.
Brown 2011 {published data only}
    1. Brown M, Ruckenstein M, Bigelow D, Judy K, Wilson V, Alonso-Basanta M, et al. Predictors of hearing loss after gamma knife radiosurgery for vestibular schwannomas: age, cochlear dose, and tumor coverage. Neurosurgery 2011;69(3):605-13; discussion 613.
Brown 2013 {published data only}
    1. Brown TE, Spurgin AL, Ross L, Tripcony L, Keller J, Hughes BG, et al. Validated swallowing and nutrition guidelines for patients with head and neck cancer: Identification of high-risk patients for proactive gastrostomy. Head & Neck 2013;35(10):1385-91.
Brown 2016 {published data only}
    1. Brown TE, Getliffe V, Banks MD, Hughes BG, Lin CY, Kenny LM, et al. Validation of an updated evidence-based protocol for proactive gastrostomy tube insertion in patients with head and neck cancer. European Journal of Clinical Nutrition 2016;70(5):574-81.
Brzozowska 2018a {published data only}
    1. Brzozowska A, Powrozek T, Homa-Mlak I, Mlak R, Ciesielka M, Golebiowski P, et al. Polymorphism of promoter region of TNFRSF1A gene (-610 t > G) as a novel predictive factor for radiotherapy induced oral mucositis in HNC patients. Pathology Oncology Research 2018;24(1):135-43.
Brzozowska 2018b {published data only}
    1. Brzozowska A, Mlak R, Homa-Mlak I, Golebiowski P, Mazurek M, Ciesielka M, et al. Polymorphism of regulatory region of APEH gene (c.-521G>C, rs4855883) as a relevant predictive factor for radiotherapy induced oral mucositis and overall survival in head neck cancer patients. Oncotarget 2018;9(51):29644-53.
Buchapudi 2019 {published data only}
    1. Buchapudi RR, Manickam R, Kumar MRA, Pasha CRT, Chandraraj V, Pyakuryal A, et al. Physical and radiobiological evaluation of accelerated intensity modulated radiotherapy for locally advanced head and neck cancer and comparison with short-term clinical outcomes. Asian Pacific Journal of Cancer Prevention 2019;20(8):2463-70.
Buettner 2010 {published data only}
    1. Buettner F, Gulliford SL, Webb S, Partridge M, Miah AB, Harrington KJ, et al. Using a Bayesian feature-selection algorithm to identify dose-response models based on the shape of the 3D dose-distribution: An example from a head-and-neck cancer trial. In: Ninth International Conference on Machine Learning and Applications. 2010:740-5.
Buettner 2011 {published data only}
    1. Buettner F, Miah A, Gulliford S, Harrington K, Webb S, Partridge M, et al. A novel approach to modelling xerostomia based on the shape of the 3D dose-distribution and clinical factors. Radiotherapy and Oncology 2011;98:S35.
Burman 1991 {published data only}
    1. Burman C, Kutcher GJ, Emami B, Goitein M. Fitting of normal tissue tolerance data to an analytic function. International Journal of Radiation Oncology, Biology, Physics 1991;21(1):123-35.
Bussels 2004 {published data only}
    1. Bussels B, Maes A, Flamen P, Lambin P, Erven K, Hermans R, et al. Dose-response relationships within the parotid gland after radiotherapy for head and neck cancer. Radiotherapy and Oncology 2004;73(3):297-306.
Caglar 2008 {published data only}
    1. Caglar HB, Tishler RB, Othus M, Burke E, Li Y, Goguen L, et al. Dose to larynx predicts for swallowing complications after intensity-modulated radiotherapy. International Journal of Radiation Oncology, Biology, Physics 2008;72(4):1110-8.
Cai 2019 {published data only}
    1. Cai J, Cheng J, Li H, Lin WJ, Li Y, Zhuo X, et al. A nomogram for the prediction of cerebrovascular disease among patients with brain necrosis after radiotherapy for nasopharyngeal carcinoma. Radiotherapy and Oncology 2019;132:34-41.
Cai 2022 {published data only}
    1. Cai XL, Hu J, Shi JT, Chen JS, Bai SM, Liu YM, et al. Contouring the accessory parotid gland and major parotid glands as a single organ at risk during nasopharyngeal carcinoma radiotherapy [Contouring the accessory parotid gland and major parotid glands as a single organ at risk during nasopharyngeal carcinoma radiotherapy]. Frontiers in Oncology 2022;12:958961. [DOI: 10.3389/fonc.2022.958961] - DOI
Canahuate 2023 {published data only}
    1. Canahuate G, Wentzel A, Mohamed AS, Van Dijk LV, Vock DM, Elgohari B, et al. Spatially-aware clustering improves AJCC-8 risk stratification performance in oropharyngeal carcinomas [Spatially-aware clustering improves AJCC-8 risk stratification performance in oropharyngeal carcinomas]. Oral Oncology 2023;144:106460. [DOI: 10.1016/j.oraloncology.2023.106460] - DOI
Cannon 2012 {published data only}
    1. Cannon B, Schwartz DL, Dong L. Metabolic imaging biomarkers of postradiotherapy xerostomia. International Journal of Radiation Oncology, Biology, Physics 2012;83(5):1609-16.
Caparrotti 2017 {published data only}
    1. Caparrotti F, Huang SH, Lu L, Bratman SV, Ringash J, Bayley A, et al. Osteoradionecrosis of the mandible in patients with oropharyngeal carcinoma treated with intensity-modulated radiotherapy. Cancer 2017;123(19):3691-700.
Caria 2010 {published data only}
    1. Caria N, Setton J, Zhang Z, Romanyshyn J, Hsu M, Branski RC, et al. Dosimetric correlation of the muscles of mastication with trismus in patients undergoing intensity Modulated radiotherapy (IMRT) and chemotherapy for oropharyngeal carcinoma (OPC). International Journal of Radiation Oncology Biology Physics 2010;78(3):S427.
Carpenter 2018 {published data only}
    1. Carpenter DJ, Mowery YM, Broadwater G, Rodrigues A, Wisdom AJ, Dorth JA, et al. The risk of carotid stenosis in head and neck cancer patients after radiation therapy. Oral Oncology 2018;80:9-15.
Cartmill 2013 {published data only}
    1. Cartmill B, Cornwell P, Ward E, Davidson W, Nund R, Bettington C, et al. Emerging understanding of dosimetric factors impacting on dysphagia and nutrition following radiotherapy for oropharyngeal cancer. Head & Neck 2013;35(8):1211-9.
Carver 2019 {published data only}
    1. Carver A, Hickman M, Warren S, Ward M, Thomas A, Sanghera P, et al. Are spatial dose metrics predictive of oral mucositis duration in oropharyngeal cancer? And Oncology 2019;133:S1047.
Castro 2011 {published data only}
    1. Castro G, Anjos CH, Martins RE, Okita AL, Gadia R, Borges A, et al. Influence of performance status, hemoglobin level, body mass index and presence of feeding tube on treatment outcomes and toxicities in locally advanced head and neck cancer patients treated with induction chemotherapy and chemoradiation. European Journal of Cancer 2011;47:S558.
Caudell 2010 {published data only}
    1. Caudell JJ, Schaner PE, Desmond RA, Meredith RF, Spencer SA, Bonner JA. Dosimetric factors associated with long-term dysphagia after definitive radiotherapy for squamous cell carcinoma of the head and neck. International Journal of Radiation Oncology, Biology, Physics 2010;76(2):403-9.
Caudell 2011a {published data only}
    1. Caudell JJ, Carroll WR, Spencer SA, Bonner JA. Examination of laryngoesophageal dysfunction-free survival as an endpoint in nonsurgical treatment of squamous cell carcinomas of the larynx and hypopharynx. Cancer 2011;117(19):4447-51.
Caudell 2011b {published data only}
    1. Caudell J, Carroll W, Locher J, Bonner J. Factors associated with long term dysphagia following treatment of locally advanced head and neck cancer with surgery and post-operative radiotherapy. Dysphagia 2011;26(4):450-1.
Caudell 2018 {published data only}
    1. Caudell JJ, Ward MC, Riaz N, Zakem SJ, Awan MJ, Dunlap NE, et al. Volume, dose, and fractionation considerations for IMRT-based reirradiation in head and neck cancer: a multi-institution analysis. International Journal of Radiation Oncology Biology Physics 2018;100(3):606-17.
Cavalieri 2023 {published data only}
    1. Cavalieri S, Platini F, Barretta F, Nuzzolese I, Ottini A, Bergamini C, et al. Pre-treatment risk factors to predict early cisplatin-related nephrotoxicity in locally advanced head and neck cancer patients treated with chemoradiation: A single Institution experience [Pre-treatment risk factors to predict early cisplatin-related nephrotoxicity in locally advanced head and neck cancer patients treated with chemoradiation: a single Institution experience]. Oral Oncology 2023;146:106579. [DOI: 10.1016/j.oraloncology.2023.106579] - DOI
Cavallo 2017 {published data only}
    1. Cavallo A, Rancati T, Cicchetti A, Iacovelli NA, Palorini F, Fallai C, et al. Development of multivariable models for acute toxicities in nasopharyngeal cancer radiotherapy. Radiotherapy and Oncology 2017;123:S858-S859.
Cecatto 2015 {published data only}
    1. Cecatto SB, Monteiro-Soares M, Henriques T, Monteiro E, Moura CI. Derivation of a clinical decision rule for predictive factors for the development of pharyngocutaneous fistula postlaryngectomy. Revista Brasileira de Otorrinolaringologia 2015;81(4):394-401.
Cella 2012 {published data only}
    1. Cella L, Liuzzi R, Conson M, D'Avino V, Salvatore M, Pacelli R. Development of multivariate NTCP models for radiation-induced hypothyroidism: a comparative analysis. Radiation Oncology (London, England) 2012;7:224.
Cella 2013 {published data only}
    1. Cella L, Conson M, Liuzzi R, Pacelli R. In regard to Boomsma et al. Re: A prospective cohort study on radiation-induced hypothyroidism: development of an NTCP model. International Journal of Radiation Oncology, Biology, Physics 2013;85(1):11.
Cengiz 2016 {published data only}
    1. Cengiz M, Dauletkazin A, Yildiz F, Yazici G, Akyol F, Zorlu F, et al. Hypofractionated stereotactic body radiation therapy for the definitive treatment of sarcoma. International Journal of Radiation Oncology 2016;96(2):E714-E715.
Chaibakhsh 2018 {published data only}
    1. Chaibakhsh S, Zayeri F, Baghestani AR, Bakhshandeh M, Aghamiri SM, Safari AH. The effect of radiation therapy on hearing loss in patients with head and neck cancer. International Journal of Cancer Management 2018;11(4):e10421.
Chan 2009 {published data only}
    1. Chan SH, Ng WT, Kam KL, Lee MC, Choi CW, Yau TK, et al. Sensorineural hearing loss after treatment of nasopharyngeal carcinoma: a longitudinal analysis. International Journal of Radiation Oncology Biology Physics 2009;73(5):1335-42.
Chang 2017 {published data only}
    1. Chang PH, Yeh KY, Wang CH, Chen EY, Yang SW, Huang JS, et al. Impact of the pretreatment Glasgow prognostic score on treatment tolerance, toxicities, and survival in patients with advanced head and neck cancer undergoing concurrent chemoradiotherapy. Head & Neck 2017;39(10):1990-6.
Chao 2002 {published data only}
    1. Chao KS. Protection of salivary function by intensity-modulated radiation therapy in patients with head and neck cancer. Seminars in Radiation Oncology 2002;12(1):20-5.
Chao 2019a {published data only}
    1. Chao M, Wei J, Lo YC, Penagaricano JA. Dose cluster model parameterization of the parotid gland in irradiation of head and neck cancer. Physical and Engineering Sciences in Medicine 2019;43:143-53.
Chao 2019b {published data only}
    1. Chao M, Wei J, Lo YC, Penagaricano JA. Percolation based cluster models fully incorporating spatial dose distribution in assessment of parotid gland radiation induced complication in head and neck cancer treatment. International Journal of Radiation Oncology Biology Physics 2019;105(1):S169-S170.
Chaudhary 2014a {published data only}
    1. Chaudhary A, Bair RJ, Bair ED, Partouche J, Witt M, Villaflor VM, et al. Mandibular osteoradionecrosis after chemoradiation therapy for locoregionally advanced head-and-neck cancer: A prospective study of the dose-effect relationship in accelerated fractionation by concomitant boost with cisplatin and cetuximab from the epic trial. International Journal of Radiation Oncology Biology Physics 2014;88(2):478-9.
Chaudhary 2014b {published data only}
    1. Chaudhary A, Bair RJ, Bair ED, Partouche J, Witt M, Villaflor VM, et al. Trismus after chemoradiation therapy for locoregionally advanced head and neck cancer: A prospective study of the dose effect relationship in accelerated fractionation by concomitant boost with cisplatin and cetuximab from the EPIC trial. International Journal of Radiation Oncology Biology Physics 2014;90(1):S572-S573.
Chen 2010a {published data only}
    1. Chen SW, Yang SN, Liang JA, Lin FJ. The outcome and prognostic factors in patients with aspiration pneumonia during concurrent chemoradiotherapy for head and neck cancer. European Journal of Cancer Care 2010;19(5):631-5.
Chen 2010b {published data only}
    1. Chen AM, Li BQ, Jennelle RL, Lau DH, Yang CC, Courquin J, et al. Late esophageal toxicity after radiation therapy for head and neck cancer. Head & Neck 2010;32(2):178-83.
Chen 2012 {published data only}
    1. Chen AM, Hall WH, Li J, Beckett L, Farwell DG, Lau DH, et al. Brachial plexus-associated neuropathy after high-dose radiation therapy for head-and-neck cancer. International Journal of Radiation Oncology, Biology, Physics 2012;84(1):165-9.
Chen 2014a {published data only}
    1. Chen AM, Wang P, Daly ME, Cui J, Hall WH, Vijayakumar S, et al. Doseevolume modeling of brachial plexus-associated neuropathy after radiation therapy for head-and-neck cancer: Findings from a prospective screening protocol survivorship. International Journal of Radiation Oncology Biology Physics 2014;88(2):525.
Chen 2014b {published data only}
    1. Chen J, Chyan A, Shugard E, Lambert L, Quivey J, Yom SS. Dosimetric predictors of hypothyroidism development in oropharynx cancer patients treated with IMRT. In: Oncology. Vol. 28. 2014.
Chen 2014c {published data only}
    1. Chen HY, Ma XM, Ye M, Hou YL, Xie HY, Bai YR. Esophageal perforation during or after conformal radiotherapy for esophageal carcinoma. Journal of Radiation Research 2014;55(5):940-7.
Chen 2015 {published data only}
    1. Chen SC, Lai YH, Huang BS, Lin CY, Fan KH, Chang JT. Changes and predictors of radiation-induced oral mucositis in patients with oral cavity cancer during active treatment. European Journal of Oncology Nursing 2015;19(3):214-9.
Chen 2016 {published data only}
    1. Chen JA, Wang CC, Wong YK, Wang CP, Jiang RS, Lin JC, et al. Osteoradionecrosis of mandible bone in patients with oral cancer - Associated factors and treatment outcomes. Head & Neck 2016;38(5):762-8.
Chen 2017 {published data only}
    1. Chen AM, Yoshizaki T, Velez MA, Mikaeilian AG, Hsu S, Cao M. Tolerance of the brachial plexus to high-dose reirradiation. International Journal of Radiation Oncology, Biology, Physics 2017;98(1):83-90.
Chen 2019 {published data only}
    1. Chen X, Wu H, Schultz CJ, Li A. Effective volume of parotid glands for assessing radiation injury during radiation therapy for head and neck cancer. International Journal of Radiation Oncology Biology Physics 2019;105(1):S31-S32.
Chen 2020 {published data only}
    1. Chen G, Jiang H, Jiang D, Wu Q, Li Z, Hua X, et al. Pretreatment serum vitamin level predicts severity of radiation-induced oral mucositis in patients with nasophafryngeal carcinoma. Head & Neck 2020;43:1153-60.
Chen 2023 {published data only}
    1. Chen N, Bai Y, Hu Z, Fu J, Wang J, Mao W, et al. Analysis of risk factors for severe radiation oral mucositis during radiotherapy for patients with nasopharyngeal carcinoma. Chinese Journal of Cancer Prevention and Treatment 2023;30(21):1279-85. [DOI: 10.16073/j.cnki.cjcpt.2023.21.03] - DOI
Cheng 1999 {published data only}
    1. Cheng SW, Wu LL, Ting AC, Lau H, Lam LK, Wei WI. Irradiation-induced extracranial carotid stenosis in patients with head and neck malignancies. American Journal of Surgery 1999;178(4):323-8.
Cheng 2000 {published data only}
    1. Cheng SW, Ting AC, Lam LK, Wei WI. Carotid stenosis after radiotherapy for nasopharyngeal carcinoma. Archives of Otolaryngology Head & Neck Surgery 2000;126(4):517-21.
Cheng 2016 {published data only}
    1. Cheng Z, Hui X, Robertson SP, Yang W, Peng LC, Choflet A, et al. Predictive factors for reactive/therapeutic feeding tube use in the irradiated head and neck cancer (HNC) patient. International Journal of Radiation Oncology 2016;96(2):E362-E363.
Cheng 2019a {published data only}
    1. Cheng Z, Sheikh K, Lakshminarayanan P, Jiang W, Han P, Guo Y, et al. Voxel dose pattern for patient-reported dysphagia among head and neck cancer patients receiving definitive radiotherapy. International Journal of Radiation Oncology Biology Physics 2019;105(1):S118.
Chera 2016 {published data only}
    1. Chera BS, Price A, Kostich M, Amdur RJ, Mendenhall WM, Sheets NC, et al. Mean contralateral salivary gland dose (parotid and submandibular) accurately predicts for patient-reported xerostomia after deintensified chemoradiation therapy for human papillomaviruseassociated oropharynx cancer. International Journal of Radiation Oncology 2016;96(2):E330.
Chera 2017 {published data only}
    1. Chera BS, Fried D, Price A, Amdur RJ, Mendenhall W, Lu C, et al. Dosimetric predictors of patient-reported xerostomia and dysphagia with deintensified chemoradiation therapy for HPV-associated oropharyngeal squamous cell carcinoma. International Journal of Radiation Oncology, Biology, Physics 2017;98(5):1022-7.
Chilukuri 2020 {published data only}
    1. Chilukuri S, Burela N, Uppuluri R, Indumathi D, Nangia S, Panda PK, et al. Preliminary experience of treating children and young adults with image-guided proton beam therapy in India. JCO Global Oncology 2020;6:1736-45.
Cho 2019 {published data only}
    1. Cho WK, Oh D, Kim HK, Ahn YC, Noh JM, Shim YM, et al. Dosimetric predictors for postoperative pulmonary complications in esophageal cancer following neoadjuvant chemoradiotherapy and surgery. Radiotherapy and Oncology 2019;133:87-92.
Chow 2019a {published data only}
    1. Chow JC, Cheung KM, Au KH, Zee BC, Lee J, Ngan RK, et al. Radiation-induced hypoglossal nerve palsy after definitive radiotherapy for nasopharyngeal carcinoma: clinical predictors and dose-toxicity relationship. International Journal of Radiation Oncology Biology Physics 2019;105(1):S213.
Chow 2022 {published data only}
    1. Chow JC, Lui JC, Cheung KM, Tam AH, Lam MH, Yuen TY, et al. Post-radiation primary hypothyroidism in patients with head and neck cancer: External validation of thyroid gland dose-volume constraints with long-term endocrine outcomes. Radiotherapy and Oncology 2022;177:105-10. [DOI: 10.1016/j.radonc.2022.10.034] - DOI
Christianen 2010 {published data only}
    1. Christianen M, Bijl HP, Schilstra C, Beetz I, Muijs C, Chouvalova O, et al. A predictive model for dysphagia 6 months after (CHEMO) radiotherapy in head and neck cancer patients. Radiotherapy and Oncology 2010;96:S83-S84.
Christianen 2011a {published data only}
    1. Christianen M, Schilstra C, Bijl HP, Beetz I, Chouvalova O, Steenbakkers R, et al. Predictive models for dysphagia after (chemo) radiation in head and neck cancer: A multicenter prospective cohort study. Radiotherapy and Oncology 2011;98:S6.
Christianen 2011b {published data only}
    1. Christianen M, Bijl HP, Schilstra C, Beetz I, Chouvalova O, Steenbakkers R, et al. Predictive models for dysphagia after (chemo) radiation in head and neck cancer: A multicenter prospective cohort study. Radiotherapy and Oncology 2011;98:S13-S14.
Christianen 2015a {published data only}
    1. Christianen M, Verdonck-de Leeuw M, Doornaert P, Chouvalova O, Steenbakkers R, et al. Patterns of long-term swallowing dysfunction after definitive radiotherapy or chemoradiation. Radiotherapy and Oncology 2015;115(1):S315-S316.
Christianen 2015b {published data only}
    1. Christianen M, Verdonck-de Leeuw M, Doornaert P, Chouvalova O, Steenbakkers R, et al. Patterns of long-term swallowing dysfunction after definitive radiotherapy or chemoradiation. Radiotherapy and Oncology 2015;114(1):24.
Christopherson 2019 {published data only}
    1. Christopherson KM, Ghosh A, Mohamed AS, Kamal M, Gunn GB, Dale T, et al. Chronic radiation-associated dysphagia in oropharyngeal cancer survivors: Towards age-adjusted dose constraints for deglutitive muscles. Clinical and Translational Radiation Oncology 2019;18:16-22.
Chyan 2014 {published data only}
    1. Chyan A, Chen J, Shugard E, Lambert L, Quivey JM, Yom SS. Dosimetric predictors of hypothyroidism in oropharyngeal cancer patients treated with intensity-modulated radiation therapy. Radiation Oncology (London, England) 2014;9:269.
Cicinelli 2021 {published data only}
    1. Cicinelli MV, Di Nicola M, Gigliotti CR, Battista M, Miserocchi E, Del Vecchio A, et al. Predictive factors of radio-induced complications in 194 eyes undergoing gamma knife radiosurgery for uveal melanoma. Acta Ophthalmologica 2021;99:e1458-e1466.
Clark 2015 {published data only}
    1. Clark H, Hovan A, Moiseenko V, Thomas S, Wu J, Reinsberg S. Regional radiation dose susceptibility within the parotid gland: effects on salivary loss and recovery. Medical Physics 2015;42(4):2064-71.
Coates 2015 {published data only}
    1. Coates J. Motivation for the inclusion of genetic risk factors of radiosensitivity alongside dosimetric and clinical parameters in predicting normal tissue effects. Acta Oncologica 2015;54(8):1230-1.
Cook 2016 {published data only}
    1. Cook AE, Blumenfeld PA, Zhen H, Zhou J, Sher DJ. Dosimetric predictors of peg dependence following intensity modulated radiation therapy with concomitant chemotherapy for oropharyngeal cancer. International Journal of Radiation Oncology 2016;96(2):E365.
Coucke 1993 {published data only}
    1. Coucke PA, Schmid C, Balmer A, Mirimanoff RO, Thames HD. Hypofractionation in retinoblastoma: An increased risk of retinopathy. Radiotherapy and Oncology 1993;28(2):157-61.
Danielsson 2016 {published data only}
    1. Danielsson D, Brehwens K, Halle M, Marczyk M, Sollazzo A, Polanska J, et al. Influence of genetic background and oxidative stress response on risk of mandibular osteoradionecrosis after radiotherapy of head and neck cancer. Head & Neck 2016;38(3):387-93.
Dankers 2017 {published data only}
    1. Dankers F, Wijsman R, Troost EG, Monshouwer R, Bussink J, Hoffmann AL. Esophageal wall dose-surface maps do not improve the predictive performance of a multivariable NTCP model for acute esophageal toxicity in advanced stage NSCLC patients treated with intensity-modulated (chemo-)radiotherapy. Physics in Medicine and Biology 2017;62(9):3668-81.
De 2016 {published data only}
    1. De F, Thomas C, Patel V, Connor S, Michaelidou A, Sproat C, et al. Osteoradionecrosis following treatment for head and neck cancer and the effect of radiotherapy dosimetry: the Guy's and St Thomas' Head and Neck Cancer Unit experience. Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology 2016;122(1):28-34.
Dean 2016a {published data only}
    1. Dean JA, Wong KH, Gay H, Welsh LC, Jones AB, Schick U, et al. Functional data analysis applied to modeling of severe acute mucositis and dysphagia resulting from head and neck radiation therapy. International Journal of Radiation Oncology, Biology, Physics 2016;96(4):820-31.
Dean 2017 {published data only}
    1. Dean JA, Welsh LC, Wong KH, Aleksic A, Dunne E, Islam MR, et al. Normal tissue complication probability (NTCP) modelling of severe acute mucositis using a novel oral mucosal surface organ at risk. Clinical Oncology (Royal College of Radiologists) 2017;29(4):263-73.
Deantonio 2013 {published data only}
    1. Deantonio L, Masini L, Brambilla M, Pia F, Krengli M. Dysphagia after definitive radiotherapy for head and neck cancer. Correlation of dose-volume parameters of the pharyngeal constrictor muscles. Strahlentherapie und Onkologie 2013;189(3):230-6.
De Araujo 2021 {published data only}
    1. De Araujo Faria V, Azimbagirad M, Viani A, Fernandes Pavoni J, Cezar F, Dos S, et al. Prediction of radiation-related dental caries through pyradiomics features and artificial neural network on panoramic radiography [Prediction of Radiation-Related Dental Caries Through PyRadiomics Features and Artificial Neural Network on Panoramic Radiography]. Journal of Digital Imaging 2021;34(5):1237-48. [DOI: 10.1007/s10278-021-00487-6] - DOI
Deasy 2001 {published data only}
    1. Deasy JO, Chao KS, Markman J. Uncertainties in model-based outcome predictions for treatment planning. International Journal of Radiation Oncology Biology Physics 2001;51(5):1389-99.
De Blank 2013 {published data only}
    1. De Blank PM, Berman JI, Liu GT, Roberts TP, Fisher MJ. Fractional anisotropy of the optic radiations is associated with visual acuity loss in optic pathway gliomas of neurofibromatosis type 1. Neuro-oncology 2013;15(8):1088-95.
DeConde 2011 {published data only}
    1. DeConde A, Vira D, Blackwell KE. Oncologic validity of cervical recipient vessel preservation. Otolaryngology - Head and Neck Surgery 2011;145:172.
Deist 2018 {published data only}
    1. Deist TM, Dankers F, Valdes G, Wijsman R, Hsu IC, Oberije C, et al. Machine learning algorithms for outcome prediction in (chemo)radiotherapy: An empirical comparison of classifiers. Medical Physics 2018;45(7):3449-59.
Delana 2009 {published data only}
    1. Delana A, Menegotti L, Bolner A, Tomio L, Valentini A, Lohr F, et al. Impact of residual setup error on parotid gland dose in intensity-modulated radiation therapy with or without planning organ-at-risk margin. Strahlentherapie und Onkologie 2009;185(7):453-9.
DeLuke 2022 {published data only}
    1. DeLuke D, Carrico C, Ray C, Stilianoudakis S, Holler S, Padilla L, et al. Is dose volume a better predictor of osteoradionecrosis risk than total dose for patients who have received head and neck radiation? [Is Dose Volume a Better Predictor of Osteoradionecrosis Risk Than Total Dose for Patients Who Have Received Head and Neck Radiation?]. Journal of Oral and Maxillofacial Surgery 2022;80(9):1557-63. [DOI: 10.1016/j.joms.2022.04.009] - DOI
De Marzi 2015 {published data only}
    1. De Marzi L, Feuvret L, Boule T, Habrand JL, Martin F, Calugaru V, et al. Use of gEUD for predicting ear and pituitary gland damage following proton and photon radiation therapy [Use of gEUD for predicting ear and pituitary gland damage following proton and photon radiation therapy]. British Journal of Radiology 2015;88(1048):20140413. [DOI: 10.1259/bjr.20140413] - DOI
Demizu 2009 {published data only}
    1. Demizu Y, Murakami M, Miyawaki D, Niwa Y, Akagi T, Sasaki R, et al. Analysis of vision loss caused by radiation-induced optic neuropathy after particle therapy for head-and-neck and skull-base tumors adjacent to optic nerves. International Journal of Radiation Oncology Biology Physics 2009;75(5):1487-92.
Den 2019 {published data only}
    1. Den H, Van D, Bosch, Van D, Hoek, Bijl H, et al. NTCP model for osteoradionecrosis after definitive radiotherapy in head and neck cancer patients. And Oncology 2019;133:S376.
Deneuve 2019 {published data only}
    1. Deneuve S, Rancati T, Bastogne T, Duclos M, Bois P, Bachman P, et al. Approach combining dosimetry and biology to predict severe toxicity of radiotherapy for head and neck squamous cell carcinomas. International Journal of Radiation Oncology Biology Physics 2019;105(1):S221.
Denham 1996 {published data only}
    1. Denham JW, Walker QJ, Lamb DS, Hamilton CS, O'Brien PC, Spry NA, et al. Mucosal regeneration during radiotherapy. Trans tasman radiation oncology group (TROG). Radiotherapy and Oncology 1996;41(2):109-18.
Denham 1999 {published data only}
    1. Denham JW, Peters LJ, Johansen J, Poulsen M, Lamb DS, Hindley A, et al. Do acute mucosal reactions lead to consequential late reactions in patients with head and neck cancer? Radiotherapy and Oncology 1999;52(2):157-64.
Deore 1993 {published data only}
    1. Deore SM, Supe SJ, Sharma V, Dinshaw KA. Late radiation induced laryngeal oedema in the treatment of vocal cord cancer: analysis using the linear quadratic model. Indian Journal of Cancer 1993;30(3):113-9.
De Ruyck 2012 {published data only}
    1. De Ruyck K, Duprez F, Werbrouck J, Sabbe N, De Langhe S, Boterberg T, et al. A predictive model for dysphagia during IMRT in head and neck cancer: Introduction of the EMLasso technique. Radiotherapy and Oncology 2012;103:S203-S204.
De Ruyck 2013 {published data only}
    1. De Ruyck K, Duprez F, Werbrouck J, Sabbe N, Sofie D, Boterberg T, et al. A predictive model for dysphagia following IMRT for head and neck cancer: introduction of the EMLasso technique. Radiotherapy and Oncology 2013;107(3):295-9.
Deschuymer 2018 {published data only}
    1. Deschuymer S, Nevens D, Duprez F, Laenen A, Dejaeger E, De Neve W, et al. Clinical factors impacting on late dysphagia in head and neck cancer following radiotherapy. Radiotherapy and Oncology 2018;127(1088):S655.
Diaz 2010 {published data only}
    1. Diaz R, Jaboin JJ, Morales-Paliza M, Koehler E, Phillips JG, Stinson S, et al. Hypothyroidism as a consequence of intensity-modulated radiotherapy with concurrent taxane-based chemotherapy for locally advanced head-and-neck cancer. International Journal of Radiation Oncology, Biology, Physics 2010;77(2):468-76.
Dijkema 2008 {published data only}
    1. Dijkema T, Terhaard CH, Roesink JM, Braam PM, Gils CH, Moerland MA, et al. Large cohort dose-volume response analysis of parotid gland function after radiotherapy: intensity-modulated versus conventional radiotherapy. International Journal of Radiation Oncology, Biology, Physics 2008;72(4):1101-9.
Dirix 2009 {published data only}
    1. Dirix P, Abbeel S, Vanstraelen B, Hermans R, Nuyts S. Dysphagia after chemoradiotherapy for head-and-neck squamous cell carcinoma: dose-effect relationships for the swallowing structures. International Journal of Radiation Oncology, Biology, Physics 2009;75(2):385-92.
Dixon 2018 {published data only}
    1. Dixon L, Ramasamy S, Cardale K, Dyker K, Garcez K, Lee LW, et al. Long term patient reported swallowing function following chemoradiotherapy for oropharyngeal carcinoma. Radiotherapy and Oncology 2018;128(3):452-8.
Dong 2016 {published data only}
    1. Dong Y, Li T, Churilla TM, Mehra R, Lango M, Bauman J, et al. Long-term toxicities in survivors of radiation treatment for head and neck cancer. International Journal of Radiation Oncology 2016;96(2):E394.
Draguet 2022 {published data only}
    1. Draguet C, Barragan-Montero AM, Vera MC, Thomas M, Populaire P, Defraene G, et al. Automated clinical decision support system with deep learning dose prediction and NTCP models to evaluate treatment complications in patients with esophageal cancer. Radiotherapy and Oncology 2022;176:101-7. [DOI: 10.1016/j.radonc.2022.08.031] - DOI
Driessen 2019 {published data only}
    1. Driessen CM, Ham JC, Te Loo M, Van Meerten S, Van Lamoen M, Hakobjan MH, et al. Genetic variants as predictive markers for ototoxicity and nephrotoxicity in patients with locally advanced head and neck cancer treated with cisplatin-containing chemoradiotherapy (The prone study). Cancers 2019;11(4):17.
Dunavoelgyi 2013 {published data only}
    1. Dunavoelgyi R, Georg D, Zehetmayer M, Schmidt-Erfurth U, Pötter R, Dörr W, et al. Dose-response of critical structures in the posterior eye segment to hypofractioned stereotactic photon radiotherapy of choroidal melanoma. Radiotherapy and Oncology 2013;108(2):348-53.
Duru 2019 {published data only}
    1. Duru B, Akyurek S, Arslan G, Arslan Y, Bakirarar B, Cakir G. Dosimetric investigation of radiation induced trigeminal nerve toxicity in patients with parotid tumor. International Journal of Radiation Oncology Biology Physics 2019;105(1):S171.
Dziegielewski 2020 {published data only}
    1. Dziegielewski PT, Bernard S, Mendenhall WM, Hitchock KE, Parker G, Wang J, et al. Osteoradionecrosis in osseous free flap reconstruction: Risk factors and treatment. Head & Neck 2020;42(8):1928-38.
Ebrahimi 2022 {published data only}
    1. Ebrahimi S, Lim G, Hobbs BP, Lin SH, Mohan R, Cao W. A hybrid deep learning model for forecasting lymphocyte depletion during radiation therapy. Medical Physics 2022;49(5):3507-22. [DOI: 10.1002/mp.15584] - DOI
Eisbruch 2001 {published data only}
    1. Eisbruch A, Kim HM, Terrell JE, Marsh LH, Dawson LA, Ship JA. Xerostomia and its predictors following parotid-sparing irradiation of head-and-neck cancer. International Journal of Radiation Oncology, Biology, Physics 2001;50(3):695-704.
Eisbruch 2003 {published data only}
    1. Eisbruch A, Ship JA, Dawson LA, Kim HM, Bradford CR, Terrell JE, et al. Salivary gland sparing and improved target irradiation by conformal and intensity modulated irradiation of head and neck cancer. World Journal of Surgery 2003;27(7):832-7.
Elhalawani 2018 {published data only}
    1. Elhalawani H, Mohamed AS, Kanwar A, Dursteler A, Rock CD, Eraj SE, et al. Serial parotid gland radiomic-based model predicts post-radiation xerostomia in oropharyngeal cancer. Radiotherapy and Oncology 2018;127:S1167-S1168.
Elhalawani 2021 {published data only}
    1. Elhalawani H, Cardenas CE, Volpe S, Barua S, Stieb S, Rock CB, et al. (18)FDG positron emission tomography mining for metabolic imaging biomarkers of radiation-induced xerostomia in patients with oropharyngeal cancer. Clinical and Translational Radiation Oncology 2021;29:93-101. [DOI: 10.1016/j.ctro.2021.05.011] - DOI
El‐Shebiney 2018 {published data only}
    1. El-Shebiney M, El-Mashad N, El-Mashad W, El-Ebiary AA, Kotkat AE. Radiotherapeutic factors affecting the incidence of developing hypothyroidism after radiotherapy for head and neck squamous cell cancer. Journal of Egyptian National Cancer Institute 2018;30(1):33-8.
Eneroth 1972 {published data only}
    1. Eneroth CM, Henrikson CO, Jakobsson PA. Pre-irradiation qualities of a parotid Gland predicting the grade of functional disturbance by radiotherapy. Acta Oto-Laryngologica 1972;74(1):436-44.
Engeseth 2022 {published data only}
    1. Engeseth GM, Hysing LB, Yepes P, Pettersen HE, Mohan R, Fuller CD, et al. Impact of RBE variations on risk estimates of temporal lobe necrosis in patients treated with intensity-modulated proton therapy for head and neck cancer. Acta Oncologica (Stockholm, Sweden) 2022;61(2):215-22. [DOI: 10.1080/0284186X.2021.1979248] - DOI
Erkal 2014 {published data only}
    1. Erkal EY, Canoglu D, Kaya A, Aksu G, Sarper B, Akansel G, et al. Assessment of early and late dysphagia using videofluoroscopy and quality of life questionnaires in patients with head and neck cancer treated with radiation therapy. Radiation Oncology (London, England) 2014;9:137.
Esassolak 2004 {published data only}
    1. Esassolak M, Karagoz U, Yalman D, Kose S, Anacak Y, Haydaroglu A. Evaluation of the effects of radiotherapy to the chiasm and optic nerve by visual psychophysical and electrophysiologic tests in nasopharyngeal carcinoma. International Journal of Radiation Oncology, Biology, Physics 2004;58(4):1141-6.
Espensen 2016 {published data only}
    1. Espensen CA, Fog LS, Aznar MC, Specht L, Kiilgaard JF. Radiation induced toxicity and tumour control in pts treated for uveal melanoma with ru-106 plaques. Radiotherapy and Oncology 2016;119:S69.
Espensen 2019 {published data only}
    1. Espensen CA, Appelt AL, Fog LS, Gothelf AB, Thariat J, Kiilgaard JF. Predicting visual acuity deterioration and radiation-induced toxicities after brachytherapy for choroidal melanomas. Cancers 2019;11(8):1124.
Espensen 2021 {published data only}
    1. Espensen CA, Kiilgaard JF, Appelt AL, Fog LS, Herault J, Maschi C, et al. Dose-response and normal tissue complication probabilities after proton therapy for choroidal melanoma. Ophthalmology 2021;128(1):152-61.
Estilo 2012 {published data only}
    1. Estilo CL, Oh JH, Lee RS, Williams T, Apte A, Huryn JM, et al. Parotid gland and oral cavity sparing vs. salivary function following intensity-modulated radiation therapy for head and neck cancer. Supportive Care in Cancer 2012;20:S261.
Facchinetti 2017 {published data only}
    1. Facchinetti N, Cavallo A, Cicchetti A, Iacovelli NA, Frasca S, Naimo S, et al. Association between toxicity profiles during radiation therapy (RT) for oropharyngeal cancer and cbct-derived and dosimetric factors to evaluate global toxicity during RT for oropharyngeal cancer. International Journal of Radiation Oncology Biology Physics 2017;99(2):E657.
Famoso 2014 {published data only}
    1. Famoso J, Berhane H, Kabolizadeh P, Vargo JA, Davis KS, Johnson JT, et al. Relationship of hard palate dose and patient-reported xerostomia in head-and-neck cancer patients treated with IMRT survivorship. International Journal of Radiation Oncology Biology Physics 2014;88(2):527.
Fan 2017 {published data only}
    1. Fan CY, Lin CS, Chao HL, Huang WY, Su YF, Lin KT, et al. Risk of hypothyroidism among patients with nasopharyngeal carcinoma treated with radiation therapy: A Population-Based Cohort Study. Radiotherapy and Oncology 2017;123(3):394-400.
Fan 2018 {published data only}
    1. Fan CY, Jen YM, Su YC, Chao HL, Lin CS, Huang WY, et al. Association between nasopharyngeal carcinoma and risk of optic neuropathy: A population-based cohort study. Head & Neck 2018;40(9):1977-85.
Fan 2021 {published data only}
    1. Fan WJ, Teng F, Liu G, Zhao DW, Li JF, Luo YR, et al. Diffusion weighted imaging in submandibular gland sparing helical tomotherapy for nasopharyngeal carcinoma. Radiotherapy and Oncology 2021;157:247-54.
Fang 2022 {published data only}
    1. Fang KC, Huang TL, Liao KC, Lee TF, Hsieh YW, Tsai WL, et al. Dosimetric parameters related to acute radiation dermatitis of patients with nasopharyngeal carcinoma treated by intensity-modulated proton therapy. Journal of Personalized Medicine 2022;12(7):30. [DOI: 10.3390/jpm12071095] - DOI
Farias 2003 {published data only}
    1. Farias TP, Dias FL, Lima RA, Kligerman J, De Sa GM, Barbosa MM, et al. Prognostic factors and outcome for nasopharyngeal carcinoma. Archives of Otolaryngology Head & Neck Surgery 2003;129(7):794-9.
Feen 2016 {published data only}
    1. Feen R. Radiation-induced hypothyroidism after treatment of head and neck cancer. Danish Medical Journal 2016;63(3):B5213.
Feng 2018 {published data only}
    1. Feng M, Huang Y, Fan X, Xu P, Lang J, Wang D. Prognostic variables for temporal lobe injury after intensity modulated-radiotherapy of nasopharyngeal carcinoma. Cancer Medicine 2018;7(3):557-64.
Fiore 2018 {published data only}
    1. Fiore AR, Lima CP, Baldon E, Wittmann DE. Thyroid dysfunction in head and neck carcinoma after external radiotherapy: Metastases and type 2 diabetes as risk factors. European Thyroid Journal 2018;7:74.
Fiorino 2011 {published data only}
    1. Fiorino C, Gunn B, Sanguineti G. Predictors of long-term PEG dependence after exclusixe IMRT including kinetic of acute toxicity. Radiotherapy and Oncology 2011;99:S426-S427.
Flores 2018 {published data only}
    1. Flores JA, Calaguas MJ, Vasquez R, Flores AR, Fineza AM, Dipasupil JP. Matrix metalloproteinase-1 (mmp-1) levels as a predictive marker of oral mucositis severity among head and neck carcinoma patients undergoing radiotherapy. Supportive Care in Cancer 2018;26(2):S143-S144.
Fogliata 2017 {published data only}
    1. Fogliata A, Reggiori G, Stravato A, Lobefalo F, Franzese C, Franceschini D, et al. RapidPlan head and neck model: the objectives and possible clinical benefit. Radiation Oncology (London, England) 2017;12(1):73.
Foss 1997 {published data only}
    1. Foss AJ, Whelehan I, Hungerford JL, Anderson DF, Errington RD, Kacperek A, et al. Predictive factors for the development of rubeosis following proton beam radiotherapy for uveal melanoma. British Journal of Ophthalmology 1997;81(9):748-54.
Fossum 2016 {published data only}
    1. Fossum C, Beltran C, Ma DJ, Foote RL. Biological model for predicting toxicity in patients with head and neck cancer treated with proton beam therapy. International Journal of Radiation Oncology 2016;96(2):E616-E617.
Fossum 2017 {published data only}
    1. Fossum CC, Beltran CJ, Whitaker TJ, Ma DJ, Foote RL. Biological model for predicting toxicity in head and neck cancer patients receiving proton therapy. International Journal of Particle Therapy 2017;4(2):18-25.
Fowler 2003 {published data only}
    1. Fowler JF, Harari PM, Leborgne F, Leborgne JH. Acute radiation reactions in oral and pharyngeal mucosa: tolerable levels in altered fractionation schedules. Radiotherapy and Oncology 2003;69(2):161-8.
Francis 2017 {published data only}
    1. Francis SR, Orton A, Thorpe C, Stoddard G, Lloyd S, Anker CJ. Toxicity and outcomes in patients with and without esophageal stents in locally advanced esophageal cancer. International Journal of Radiation Oncology, Biology, Physics 2017;99(4):884-94.
Frowen 2010 {published data only}
    1. Frowen J, Cotton S, Corry J, Perry A. Impact of demographics, tumor characteristics, and treatment factors on swallowing after (chemo)radiotherapy for head and neck cancer. Head & Neck 2010;32(4):513-28.
Frowen 2013 {published data only}
    1. Frowen J, Hornby C, Collins M, Senthi S, Cassumbhoy R, Corry J. Reducing posttreatment dysphagia: Support for the relationship between radiation dose to the pharyngeal constrictors and swallowing outcomes. Practical Radiation Oncology 2013;3(4):e187-e194.
Frowen 2015 {published data only}
    1. Frowen J, Drosdowsky A, Perry A, Corry J. Long-term swallowing after chemoradiotherapy: A prospective study of functional and patient-reported changes over time. Dysphagia 2015;30(2):235.
Fu 1995 {published data only}
    1. Fu KK, Pajak TF, Marcial VA, Ortiz HG, Rotman M, Asbell SO, et al. Late effects of hyperfractionated radiotherapy for advanced head and neck cancer: long-term follow-up results of RTOG 83-13. International Journal of Radiation Oncology, Biology, Physics 1995;32(3):577-88.
Fuccio 2016 {published data only}
    1. Fuccio L, Scagliarini M, Frazzoni L, Battaglia G. Development of a prediction model of adverse events after stent placement for esophageal cancer. Gastrointestinal Endoscopy 2016;83(4):746-52.
Fukada 2012 {published data only}
    1. Fukada J, Shigematsu N, Ohashi T, Shiraishi Y, Takeuchi H, Kawaguchi O, et al. Pericardial and pleural effusions after definitive radiotherapy for esophageal cancer. Journal of Radiation Research 2012;53(3):447-53.
Fukada 2013 {published data only}
    1. Fukada J, Shigematsu N, Takeuchi H, Ohashi T, Saikawa Y, Takaishi H, et al. Symptomatic pericardial effusion after chemoradiation therapy in esophageal cancer patients. International Journal of Radiation Oncology, Biology, Physics 2013;87(3):487-93.
Fukada 2021 {published data only}
    1. Fukada J, Fukata K, Koike N, Kota R, Shigematsu N. Mean heart dose-based normal tissue complication probability model for pericardial effusion: a study in oesophageal cancer patients. Scientific Reports 2021;11(1):18166. [DOI: 10.1038/s41598-021-97605-9] - DOI
Gabrys 2017 {published data only}
    1. Gabrys HS, Buettner F, Sterzing F, Hauswald H, Bangert M. Parotid gland mean dose as a xerostomia predictor in low-dose domains. Acta Oncologica 2017;56(9):1197-203.
Gabrys 2018 {published data only}
    1. Gabrys HS, Buettner F, Sterzing F, Hauswald H, Bangert M. Design and selection of machine learning methods using radiomics and dosiomics for normal tissue complication probability modeling of xerostomia. Frontiers in Oncology 2018;8:35.
Gangopadhyay 2009 {published data only}
    1. Gangopadhyay A, Saha S. Nutritional status - A determinant of treatment toxicity in concomitant chemoradiation. Supportive Care in Cancer 2009;17(7):927-8.
Garber 2020 {published data only}
    1. Garber D, Rotsides J, Abu-Ghanem S, Bandler I, Smith A, Oyfe I, et al. Decreased tongue volume post radiation. Annals of Otology, Rhinology, and Laryngology 2020;129(8):741-7.
Gawryszuk 2019 {published data only}
    1. Gawryszuk A, Van der Laan HP, Steenbakkers RJ, Van den Hoek JGM, Bijl HP, Langendijk JA. NTCP model for penetration/aspiration after (chemo)radiation including DVH parameters. Radiotherapy and Oncology 2019;133:S374-S375.
Gawryszuk 2021 {published data only}
    1. Gawryszuk A, Bijl HP, Van der Schaaf A, Perdok N, Wedman J, Verdonck-de Leeuw IM, et al. Relationship between videofluoroscopic and subjective (physician- and patient- rated) assessment of late swallowing dysfunction after (chemo) radiation: Results of a prospective observational study. Radiotherapy and Oncology 2021;164:253-60. [DOI: 10.1016/j.radonc.2021.09.017] - DOI
Geiger 2014 {published data only}
    1. Geiger EJ, Basques BA, Chang CC, Alcon AW, Narayan D. Wound healing complications with intraoperative brachytherapy for head and neck cancer: a unique form of radiation injury. Annals of Plastic Surgery 2014;73(4):378-84.
Gensheimer 2016 {published data only}
    1. Gensheimer MF, Nyflot M, Laramore GE, Liao JJ, Parvathaneni U. Contribution of submandibular gland and swallowing structure sparing to post-radiation therapy PEG dependence in oropharynx cancer patients treated with split-neck IMRT technique. Radiation Oncology (London, England) 2016;11(1):151.
Gfmduz 1999 {published data only}
    1. Gfmduz K, Shields CL, Shields JA, Cater J, Freire JE, Brady LV. Radiation retinopathy following plaque radiotherapy for posterior uveal melanoma. Archives of Ophthalmology 1999;117(5):609-14.
Ghadjar 2011 {published data only}
    1. Ghadjar P, Simcock M, Zimmermann F, Betz M, Bernier J, Studer G, et al. Predictors of severe late toxicity after hyperfractionated radiotherapy with or without concomitant cisplatin in locally advanced head and neck cancer: Results of a randomized phase III trial (SAKK 10/94). International Journal of Radiation Oncology Biology Physics 2011;81(2):S175.
Gharzai 2019 {published data only}
    1. Gharzai LA, Green M, Li P, Schipper M, Mayo C, Yao J, et al. Characterization of very late dysphagia after chemoradiation for oropharyngeal squamous cell carcinoma. International Journal of Radiation Oncology Biology Physics 2019;105(1):E602.
Gharzai 2020 {published data only}
    1. Gharzai LA, Li P, Schipper MJ, Yao J, Mayo CS, Wilkie JR, et al. Characterization of very late dysphagia after chemoradiation for oropharyngeal squamous cell carcinoma. Oral Oncology 2020;111:104853.
Ghazali 2012 {published data only}
    1. Ghazali N, Noor U, Shaw R, Risk J, Lowe D, Jones T, et al. Post-treatment proximal oesophageal strictures in head and neck carcinoma. British Journal of Oral & Maxillofacial Surgery 2012;50:S35.
Ghogomu 2010 {published data only}
    1. Ghogomu NT, Kallogjeri D, Nussenbaum B, Piccirillo JF. Iatrogenic esophageal perforation in patients with head and neck cancer: evaluation of the SEER-Medicare database. Otolaryngology - Head & Neck Surgery 2010;142(5):728-34.
Gigliotti 2016 {published data only}
    1. Gigliotti CR, Di N, Perna LA, Fiorino C, Modorati G, Mortini P, et al. Dose-volume predictors of radio-induced effects after SRS for uveal melanoma. Radiotherapy and Oncology 2016;119:S357.
Gigliotti 2018 {published data only}
    1. Gigliotti CR, Modorati G, Di N, Fiorino C, Perna LA, Miserocchi E, et al. Predictors of radio-induced visual impairment after radiosurgery for uveal melanoma. British Journal of Ophthalmology 2018;102(6):833-9.
Goeleven 2017 {published data only}
    1. Goeleven A, Nevens D, Duprez F, De Neve W, Dejaeger E, Braeken R, et al. Predictive factors for posttreatment swallowing dysfunction after radio(chemo)therapy for head and neck cancer. Dysphagia 2017;32(1):166-7.
Gokhale 2010 {published data only}
    1. Gokhale AS, McLaughlin BT, Flickinger JC, Beriwal S, Heron DE, Ferris RL, et al. Clinical and dosimetric factors associated with a prolonged feeding tube requirement in patients treated with chemoradiotherapy (CRT) for head and neck cancers. Annals of Oncology 2010;21(1):145-51.
Goleń 2007 {published data only}
    1. Goleń M, Składowski K, Wygoda A, Pilecki B, Przeorek W, Sa̧siadek W, et al. The influence of radiation technique on xerostomia in head and neck cancer patients - Prospective study. Reports of Practical Oncology and 2007;12(5):253-60.
Gonzalez‐Garcia 2009 {published data only}
    1. Gonzalez-Garcia R, Naval-Gias L, Roman-Romero L, Sastre-Perez J, Rodriguez-Campo FJ. Local recurrences and second primary tumors from squamous cell carcinoma of the oral cavity: a retrospective analytic study of 500 patients. Head & Neck 2009;31(9):1168-80.
Goutham 2012 {published data only}
    1. Goutham HV, Mumbrekar KD, Vadhiraja BM, Fernandes DJ, Sharan K, Kanive P, et al. DNA double-strand break analysis by gamma-H2AX foci: a useful method for determining the overreactors to radiation-induced acute reactions among head-and-neck cancer patients. International Journal of Radiation Oncology, Biology, Physics 2012;84(5):e607-e612.
Goy 2011 {published data only}
    1. Goy Y, Prosch C, Bajrovic A, Matnjani G, Krüll A, Petersen C, et al. Tomotherapy in locally advanced head and neck cancer-does it reduce xerostomia? Radiotherapy and Oncology 2011;98:S34.
Gragoudas 2002 {published data only}
    1. Gragoudas E, Li W, Goitein M, Lane AM, Munzenrider JE, Egan KM. Evidence-based estimates of outcome in patients irradiated for intraocular melanoma. Archives of Ophthalmology 2002;120(12):1665-71.
Grande 1992 {published data only}
    1. Grande C. Hypothyroidism following radiotherapy for head and neck cancer: multivariate analysis of risk factors. Radiotherapy and Oncology 1992;25(1):31-6.
Grau 1991 {published data only}
    1. Grau C, Moller K, Overgaard M, Overgaard J, Elbrond O. Sensori-neural hearing loss in patients treated with irradiation for nasopharyngeal carcinoma. International Journal of Radiation Oncology, Biology, Physics 1991;21(3):723-8.
Guerrero 2007 {published data only}
    1. Guerrero T, Johnson V, Hart J, Pan T, Khan M, Luo D, et al. Radiation pneumonitis: local dose versus [18F]-fluorodeoxyglucose uptake response in irradiated lung. International Journal of Radiation Oncology, Biology, Physics 2007;68(4):1030-5.
Gujral 2016 {published data only}
    1. Gujral DM, Shah BN, Chahal NS, Bhattacharyya S, Senior R, Harrington KJ, et al. Do traditional risk stratification models for cerebrovascular events apply in irradiated head and neck cancer patients? QJM: Monthly Journal of the Association of Physicians 2016;109(6):383-9.
Gulliford 2011 {published data only}
    1. Gulliford S, Miah A, Brennan S, Partridge M, Harrington K, Nutting C. The dose-volume response of posterior fossa and brainstem with respect to acute fatigue. Radiotherapy and Oncology 2011;99:S428.
Gündüz 1999 {published data only}
    1. Gündüz K, Shields CL, Shields JA, Cater J, Freire JE, Brady LW. Radiation complications and tumor control after plaque radiotherapy of choroidal melanoma with macular involvement. American Journal of Ophthalmology 1999;127(5):579-89.
Guo 2019 {published data only}
    1. Guo Q, Lu T, Hui H, O'Sullivan B, Zong J, Xiao Y, et al. Depicting distant metastatic risk by refined subgroups derived from the 8th edition nasopharyngeal carcinoma TNM. Oral Oncology 2019;91:113-20.
Gupta 2011 {published data only}
    1. Gupta T, Jain S, Master Z, Kannan S, Reena P, Rangarajan V. Prospective longitudinal assessment of salivary function using quantitative pertechnate scintigraphy and estimation of dose-volume response relationship after parotid-sparing radiotherapy in head-neck cancers. Oral Oncology 2011;47:S56.
Gupta 2013 {published data only}
    1. Gupta T, Hotwani C, Kannan S, Master Z, Rangarajan V, Murthy V, et al. Prospective longitudinal assessment of salivary function using quantitative pertechnate scintigraphy and estimation of dose-volume response relationship after parotid-sparing radiotherapy in head-neck cancers. European Journal of Cancer 2013;49:S759.
Gupta 2017 {published data only}
    1. Gupta A, Mathew D, Ghoshal S, Pal A. Role of DNA repair gene polymorphisms in prediction of radiation toxicity in oropharyngeal cancers. Annals of Oncology 2017;28:vii6.
Haddy 2009 {published data only}
    1. Haddy N, Andriamboavonjy T, Paoletti C, Dondon MG, Mousannif A, Shamsaldin A, et al. Thyroid adenomas and carcinomas following radiotherapy for a hemangioma during infancy. Radiotherapy and Oncology 2009;93(2):377-82.
Hamming‐Vrieze 2017 {published data only}
    1. Hamming-Vrieze O, Kraaijenga S, Verheijen S, Jonker M, Van der Molen L, Van de Kamer J, et al. Trismus after chemoradiation in head & neck cancer: Relation with medial pterygoid and masseter dose. Radiotherapy and Oncology 2017;123:S460-S461.
Han 2018 {published data only}
    1. Han P, Wang X, Liang F, Liu Y, Qiu X, Xu Y, et al. Osteoradionecrosis of the skull base in nasopharyngeal carcinoma: incidence and risk factors. International Journal of Radiation Oncology, Biology, Physics 2018;102(3):552-5.
Han 2019 {published data only}
    1. Han P, Lakshminarayanan P, Jiang W, Shpitser I, Hui X, Lee SH, et al. Dose/Volume histogram patterns in Salivary Gland subvolumes influence xerostomia injury and recovery. Scientific Reports 2019;9(1):3616.
Han 2020 {published data only}
    1. Han YY, Chen KH, Guan Y, Chen L, Lin MR, Nong SK, et al. Predictive value of some inflammatory indexes in the survival and toxicity of nasopharyngeal carcinoma. Cancer Management and Research 2020;12:11541-51.
Hart 2008 {published data only}
    1. Hart JP, McCurdy MR, Ezhil M, Wei W, Khan M, Luo D, et al. Radiation pneumonitis: correlation of toxicity with pulmonary metabolic radiation response. International Journal of Radiation Oncology, Biology, Physics 2008;71(4):967-71.
Hartley 2011 {published data only}
    1. Hartley A, Sanghera P, Kazi W, Mehanna H, McConkey C, Glaholm J, et al. Correlation of currently used radiobiological parameters with local control and acute and late mucosal toxicity in randomised studies of altered fractionation for locally advanced head and neck cancer. Clinical Oncology (Royal College of Radiologists) 2011;23(1):29-33.
Hawkins 2017 {published data only}
    1. Hawkins PG, Lee JY, Mao Y, Green M, Worden F, Swiecicki PL, et al. Radiation doses to all salivary glands affect patient-reported xerostomia and quality of life: A longitudinal study. International Journal of Radiation Oncology Biology Physics 2017;99(2):E339-E340.
He 2014 {published data only}
    1. He J, Zeng ZC, Shi SM, Yang P. Clinical features, outcomes and treatment-related pneumonitis in elderly patients with esophageal carcinoma. World Journal of Gastroenterology 2014;20(36):13185-90.
Healy 2018 {published data only}
    1. Healy E, Willen B, Ayan A, Eckstein J, Wobb J, Mitchell D, et al. Relation of parotid shrinkage to acute xerostomia during adaptive radiation for head and neck cancer. Radiotherapy and Oncology 2018;127:S662.
Hedman 2009 {published data only}
    1. Hedman M, Bjork-Eriksson T, Mercke C, West C, Hesselius P, Brodin O. Comparison of predicted and clinical response to radiotherapy: a radiobiology modelling study. Acta Oncologica 2009;48(4):584-90.
Hedström 2019a {published data only}
    1. Hedström J, Tuomi L, Finizia C, Olsson C. Identifying organs at risk for radiation-induced late dysphagia in head and neck cancer patients. Clinical and Translational Radiation Oncology 2019;19:87-95.
Hedström 2019b {published data only}
    1. Hedström J, Tuomi L, Finizia C, Olsson C. Identifying organs at risk for radiation-induced dysphagia in head and neck cancer patients. Radiotherapy and Oncology 2019;133:S1033-S1034.
Herbert 1981 {published data only}
    1. Herbert DE Jr. "Battered data"--some clinical effects of the abuse of multiple regression methods: the NSD. Medical Physics 1981;8(6):813-47.
Hernandez 2016 {published data only}
    1. Hernandez AM, Cheng Z, Hui X, Kiess AP, Robertson SP, Moore J, et al. The role of ensemble machine learning algorithms to predict weight loss following head and neck radiation therapy. International Journal of Radiation Oncology 2016;96(2):E384.
Hirata 2016a {published data only}
    1. Hirata T, Kishi N, Imai Y, Kanayama N, Kawaguchi Y, Konishi K, et al. Dose volume parameters as predictors for radiation-induced hypothyroidism after IMRT or vmat for head and neck squamous cell carcinoma: Comparison of the availability between mean thyroid dose and median thyroid dose. International Journal of Radiation Oncology 2016;96(2):E365.
Hirata 2016b {published data only}
    1. Hirata T, Kishi N, Imai Y, Kanayama N, Kawaguchi Y, Konishi K, et al. A predictive model for radiation-induced hypothyroidism after IMRT or VMAT for head and neck squamous cell carcinoma. Japanese Journal of Clinical Radiology 2016;61(9):1097-104.
Ho 2008 {published data only}
    1. Ho AC, Ho WK, Lam PK, Yuen AP, Wei WI. Thyroid dysfunction in laryngectomees-10 years after treatment. Head & Neck 2008;30(3):336-40.
Holmberg 2002 {published data only}
    1. Holmberg E, Wallgren A, Holm LE, Lundell M, Karlsson P. Dose-response relationship for parathyroid adenoma after exposure to ionizing radiation in infancy. Radiation Research 2002;158(4):418-23.
Honore 2002 {published data only}
    1. Honore HB, Bentzen SM, Moller K, Grau C. Sensori-neural hearing loss after radiotherapy for nasopharyngeal carcinoma: individualized risk estimation. Radiotherapy and Oncology 2002;65(1):9-16.
Hou 2022 {published data only}
    1. Hou J, Li H, Zeng B, Pang P, Ai Z, Li F, et al. MRI-based radiomics nomogram for predicting temporal lobe injury after radiotherapy in nasopharyngeal carcinoma. European Radiology 2022;32(2):1106-14. [DOI: 10.1007/s00330-021-08254-5] - DOI
Houghton 2010 {published data only}
    1. Houghton F, McNiven A, O'Sullivan B, Waldron J. Dosimetric predictors for swallowing dysfunction in head and neck cancer treated with hyperfractionated accelerated intensity modulated radiotherapy. Radiotherapy and Oncology 2010;96:S85.
Hsieh 2014 {published data only}
    1. Hsieh LC, Chen JW, Wang LY, Tsang YM, Shueng PW, Liao LJ, et al. Predicting the severity and prognosis of trismus after intensity-modulated radiation therapy for oral cancer patients by magnetic resonance imaging. PLoS ONE 2014;9(3):e92561.
Huang 2012 {published data only}
    1. Huang J, Chunta JL, Amin M, Lee DY, Grills IS, Wong CY, et al. Detailed characterization of the early response of head-neck cancer xenografts to irradiation using 18F-FDG-PET imaging. International Journal of Radiation Oncology Biology Physics 2012;84(2):485-91.
Huang 2016 {published data only}
    1. Huang TL, Chien CY, Tsai WL, Liao KC, Chou SY, Lin HC, et al. Long-term late toxicities and quality of life for survivors of nasopharyngeal carcinoma treated with intensity-modulated radiotherapy versus non-intensity-modulated radiotherapy. Head & Neck 2016;38:E1026-E1032.
Huang 2017 {published data only}
    1. Huang BT, Huang RH, Zhang WZ, Lin W, Guo LJ, Xu LY, et al. Different definitions of esophagus influence esophageal toxicity prediction for esophageal cancer patients administered simultaneous integrated boost versus standard-dose radiation therapy. Scientific Reports 2017;7(1):120.
Huang 2018 {published data only}
    1. Huang XD, Zhou GQ, Lv JW, Zhou HQ, Zhong CW, Wu CF, et al. Competing risk nomograms for nasopharyngeal carcinoma in the intensity-modulated radiotherapy era: A big-data, intelligence platform-based analysis. Radiotherapy and Oncology 2018;129(2):389-95.
Huang 2019 {published data only}
    1. Huang J, Kong FF, Oei RW, Zhai RP, Hu CS, Ying HM. Dosimetric predictors of temporal lobe injury after intensity-modulated radiotherapy for T4 nasopharyngeal carcinoma: a competing risk study. Radiation Oncology (London, England) 2019;14(1):31.
Huang 2020 {published data only}
    1. Huang X, Zhang X, Wang X, Rong X, Li Y, Li H, et al. A nomogram to predict symptomatic epilepsy in patients with radiation-induced brain necrosis. Neurology 2020;95(10):e1392-e1403.
Huang 2020a {published data only}
    1. Huang X, Zhang X, Wang X, Rong X, Li Y, Li H, et al. A nomogram to predict symptomatic epilepsy in patients with radiation-induced brain necrosis. Neurology 2020;95(10):e1392-e1403. [DOI: 10.1212/WNL.0000000000010190] - DOI
Huang 2023 {published data only}
    1. Huang L, Yang Z, Zeng Z, Ren H, Jiang M, Hu Y, et al. MRI-based radiomics models for the early prediction of radiation-induced temporal lobe injury in nasopharyngeal carcinoma. Frontiers in Neurology 2023;14:1135978. [DOI: 10.3389/fneur.2023.1135978] - DOI
Hui 2020 {published data only}
    1. Hui EP, Li WF, Ma BB, Lam WK, Chan KC, Mo F, et al. Integrating postradiotherapy plasma Epstein-Barr virus DNA and TNM stage for risk stratification of nasopharyngeal carcinoma to adjuvant therapy. Annals of Oncology 2020;31(6):769-79.
Huiskamp 2020 {published data only}
    1. Huiskamp LF, Chargi N, Devriese LA, Jong PA, Bree R. The predictive and prognostic value of low skeletal muscle mass for dose-limiting toxicity and survival in head and neck cancer patients receiving concomitant cetuximab and radiotherapy. European Archives of Oto-Rhino-Laryngology 2020;277(10):2847-58.
Humbert‐Vidan 2017 {published data only}
    1. Humbert-Vidan L, Gulliford S, Patel V, Thomas C, Guerrero-Urbano T. Atlas of complication incidence to explore dosimetric contributions to osteoradionecrosis. Radiotherapy and Oncology 2017;123:S864-S865.
Humbert‐Vidan 2019 {published data only}
    1. Humbert-Vidan L, Oksuz I, Patel V, King AP, Guerrero-Urbano T. Prediction of voxelwise mandibular osteoradionecrosis maps in HNC patients using deep learning. Radiotherapy and Oncology 2019;133:S1050.
Humbert‐Vidan 2022 {published data only}
    1. Humbert-Vidan L, Patel V, Andlauer R, King AP, Guerrero Urbano. Prediction of mandibular ORN incidence from 3D radiation dose distribution maps using deep learning. In: Lecture Notes in Computer Science (including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 13540 LNCS. 2022:49-58. [DOI: 10.1007/978-3-031-17721-7_6] - DOI
Hunter 2012a {published data only}
    1. Hunter KU, Vineberg KA, Schipper M, McShan DL, Antonuk AE, Cornwall C, et al. The effect of differences in planned and delivered parotid doses on salivary output. International Journal of Radiation Oncology Biology Physics 2012;84(3):S206.
Hunter 2012b {published data only}
    1. Hunter KU, Lee OE, Lyden TH, Haxer MJ, Feng FY, Schipper M, et al. Aspiration pneumonia after CHEMO-IMRT of head-and-neck cancer and its clinical and dysphagia-related predictors. International Journal of Radiation Oncology Biology Physics 2012;84(3):S468-S469.
Hunter 2014a {published data only}
    1. Hunter KU, Worden F, Bradford C, Prince M, McLean S, Wolf G, et al. Neck spasm after chemoradiotherapy for head and neck cancer: natural history and dosimetric correlates. Head & Neck 2014;36(2):176-80.
Hunter 2014b {published data only}
    1. Hunter KU, Lee OE, Lyden TH, Haxer MJ, Feng FY, Schipper M, et al. Aspiration pneumonia after chemo-intensity-modulated radiation therapy of oropharyngeal carcinoma and its clinical and dysphagia-related predictors. Head & Neck 2014;36(1):120-5.
Hutcheson 2008 {published data only}
    1. Hutcheson KA, Barringer DA, Rosenthal DI, May AH, Roberts DB, Lewin JS. Swallowing outcomes after radiotherapy for laryngeal carcinoma. Archives of Otolaryngology Head & Neck Surgery 2008;134(2):178-83.
Hutcheson 2013 {published data only}
    1. Hutcheson K, Awan MJ, Mohamed AS, Baron CA, Gunn GB, Rosenthal DI, et al. Late radiation-associated dysphagia (RAD) and lower cranial neuropathy after oropharyngeal radiation therapy: A caseecontrol dosimetric comparison. International Journal of Radiation Oncology Biology Physics 2013;87(2):S143.
Iacovelli 2015 {published data only}
    1. Iacovelli NA, Rancati T, Cavallo A, Cavatorta C, Carrara M, Giandini T, et al. Is there any dosimetric predictor ofacute toxicity during radiotherapy for nasopharyngeal carcinoma that can be modulated by genetic risk factors? Supportive Care in Cancer 2015;23(1):S369.
Inokuchi 2012 {published data only}
    1. Inokuchi H, Nakamura T, Tomoda T, Takada A, Takayama K, Makita C, et al. Assessment of acute cervical skin toxicity due to fractionated proton beam therapy for head-and-neck cancer. International Journal of Radiation Oncology Biology Physics 2012;84(3):S836-S837.
Jackson 2010 {published data only}
    1. Jackson A, Caria N, Setton J, Romanyshyn J, McNamara SA, Wolden SL, et al. Dose response of dysphagia in oropharynx cancer patients. International Journal of Radiation Oncology Biology Physics 2010;78(3):S151.
Jackson 2011 {published data only}
    1. Jackson A, Fong BT, Setton J, Rao SS, Wolden SL, Lee N. Dose response of dysphagia in head and neck cancer patients. International Journal of Radiation Oncology Biology Physics 2011;81(2):S27.
Jackson 2012 {published data only}
    1. Jackson A, Wang TJ, Riaz N, Chang J, Yu ES, Ho F, et al. Correlation of the dose delivered to the nausea center with acute onset of nausea and vomiting in oropharynx cancer patients treated with chemoradiation. International Journal of Radiation Oncology Biology Physics 2012;84(3):S752-S753.
Jakobi 2015 {published data only}
    1. Jakobi A, Lühr A, Stützer K, Bandurska-Luque A, Löck S, Krause M, et al. Increase in tumor control and normal tissue complication probabilities in advanced head-and-neck cancer for dose-escalated intensity-modulated photon and proton therapy. Frontiers in Oncology 2015;5:256.
Jellema 2005 {published data only}
    1. Jellema AP, Doornaert P, Slotman BJ, Leemans CR, Langendijk JA. Does radiation dose to the salivary glands and oral cavity predict patient-rated xerostomia and sticky saliva in head and neck cancer patients treated with curative radiotherapy? Radiotherapy and Oncology 2005;77(2):164-71.
Jen 2006 {published data only}
    1. Jen YM, Lin YC, Wang YB, Wu DM. Dramatic and prolonged decrease of whole salivary secretion in nasopharyngeal carcinoma patients treated with radiotherapy. Oral Surgery Oral Medicine Oral Pathology Oral Radiology & Endodontics 2006;101(3):322-7.
Jensen 2005 {published data only}
    1. Jensen AW, Petersen IA, Kline RW, Stafford SL, Schomberg PJ, Robertson DM. Radiation complications and tumor control after 125I plaque brachytherapy for ocular melanoma. International Journal of Radiation Oncology Biology Physics 2005;63(1):101-8.
Jensen 2007 {published data only}
    1. Jensen K, Lambertsen K, Grau C. Late swallowing dysfunction and dysphagia after radiotherapy for pharynx cancer: frequency, intensity and correlation with dose and volume parameters. Radiotherapy and Oncology 2007;85(1):74-82.
Jensen 2022 {published data only}
    1. Jensen KH, Vogelius IR, Bernsdorf M, Gothelf A, Kristensen CA, Maare C, et al. Early non-cancer mortality risk prediction after curative-intent radiotherapy or chemoradiotherapy for head and neck squamous cell carcinoma. Radiotherapy and Oncology 2022;171:1-6. [DOI: 10.1016/j.radonc.2022.03.020] - DOI
Jiang 2018 {published data only}
    1. Jiang L, Huang C, Gan Y, Wu T, Tang X, Wang Y, et al. Radiation-induced late dysphagia after intensity-modulated radiotherapy in nasopharyngeal carcinoma patients: a dose-volume effect analysis. Scientific Reports 2018;8(1):16396.
Jiang 2019 {published data only}
    1. Jiang W, Lakshminarayanan P, Hui X, Han P, Cheng Z, Bowers M, et al. Machine learning methods uncover radiomorphologic dose patterns in salivary glands that predict xerostomia in patients with head and neck cancer. Advances in Radiation Oncology 2019;4(2):401-12.
Jin 2020 {published data only}
    1. Jin S, Lu Q, Sun Y, Xiao S, Zheng B, Pang D, et al. Nutrition impact symptoms and weight loss in head and neck cancer during radiotherapy: a longitudinal study. BMJ Supportive & Palliative Care 2020;4:04.
Jomaa 2018 {published data only}
    1. Jomaa M, Lewin J, Barrow M, Zaveri J, Mohamed A, Fuller C, et al. Submental muscle dose/volume predicts videofluoroscopy detected dysphagia per digest in oropharyngeal cancer survivors. Dysphagia 2018;33(4):500-1.
Jumeau 2018 {published data only}
    1. Jumeau R, Nguyen-Tan PF, Bahig H, Liem X, Lambert L, Schmittbuhl M, et al. Pre-irradiation dental care: Ready-to-use templates for oropharyngeal cancers. Reports of Practical Oncology & Radiotherapy 2018;23(4):270-5.
Kaae 2019 {published data only}
    1. Kaae JK, Johnsen L, Hansen CR, Kristensen MH, Brink C, Eriksen JG. Relationship between patient and physician-rated xerostomia and dose distribution to the oral cavity and salivary glands for head and neck cancer patients after radiotherapy. Acta Oncologica 2019;58(10):1366-72.
Kalendralis 2019 {published data only}
    1. Kalendralis P, Shi Z, Van Soest J, Ryczkowski A, Kaźmierska J, Malicki J, et al. Modelling Head and Neck Radiotherapy outcomes using radiomics biomarkers. Radiotherapy and Oncology 2019;133:S170.
Kamal 2018 {published data only}
    1. Kamal M, Mohamed AS, Volpe S, Zaveri J, Barrow MP, Gunn GB, et al. Radiotherapy dose-volume parameters predict videofluoroscopy-detected dysphagia per DIGEST after IMRT for oropharyngeal cancer: Results of a prospective registry. Radiotherapy and Oncology 2018;128(3):442-51.
Kamal 2019 {published data only}
    1. Kamal M, Rosenthal DI, Batra A, Volpea S, Elgohari B, Goepfert RP, et al. Fatigue following radiation therapy in nasopharyngeal cancer survivors: A dosimetric analysis incorporating patient report and observer rating. Radiotherapy and Oncology 2019;133:35-42.
Kang 2016 {published data only}
    1. Kang HS, Roh JL, Kim SB, Choi SH, Nam SY, Kim SY. Noncancer-related health events and mortality in head and neck cancer patients after definitive radiotherapy: a prospective study. Medicine 2016;95(19):e3403.
Karavolia 2021 {published data only}
    1. Karavolia E, Van Rijn-Dekker MI, Van den Bosch L, Van den Hoek JG, Oldehinkel E, Meijer TW, et al. Impact of sarcopenia on acute radiotherapy-induced toxicity in head and neck cancer patients. Radiotherapy and Oncology 2021;161:S605-S606. [DOI: 10.1016/s0167-8140(21)07053-5] - DOI
Karavolia 2022 {published data only}
    1. Karavolia E, Van Rijn-Dekker MI, Van den Bosch L, Van den Hoek JG, Oldehinkel E, Meijer TW, et al. Impact of sarcopenia on acute radiation-induced toxicity in head and neck cancer patients. Radiotherapy and Oncology 2022;170:122-128. [DOI: 10.1016/s0167-8140(21)07053-5] - DOI
Kawai 2017 {published data only}
    1. Kawai S, Yokota T, Onozawa Y, Hamauchi S, Fukutomi A, Ogawa H, et al. Risk factors for aspiration pneumonia after definitive chemoradiotherapy or bio-radiotherapy for locally advanced head and neck cancer: a monocentric case control study. BMC Cancer 2017;17(1):59.
Kazmierska 2020 {published data only}
    1. Kazmierska J, Barczak W, Winiecki T, Luczewski L, Marciniak M, Suchorska W. The kinetics of gamma-H2AX during radiotherapy of head and neck cancer potentially allow for prediction of severe mucositis. Radiology & Oncology 2020;14:14.
Khan 2011 {published data only}
    1. Khan N, Khan MK, Bena J, Torres V, Singh AD, Macklis RM. Factors predictive of developing radiation retinopathy (RR) and vision loss following plaque brachytherapy for uveal melanoma. International Journal of Radiation Oncology Biology Physics 2011;81(2):S295-S296.
Khan 2012 {published data only}
    1. Khan N, Khan MK, Bena J, Macklis R, Singh AD. Plaque brachytherapy for uveal melanoma: A vision prognostication model. International Journal of Radiation Oncology Biology Physics 2012;84(3):e285-e290.
Kierkels 2012 {published data only}
    1. Kierkels RGJ, Van der Schaaf A, Schilstra C, Bal M, Langendijk JA, Van't Veld AA. IMRT optimization using multivariable NTCP models for head and neck cancer patients. Radiotherapy and Oncology 2012;103:S137-S138.
Kierkels 2019 {published data only}
    1. Kierkels RG, Fredriksson A, Both S, Langendijk JA, Scandurra D, Korevaar EW. Automated robust proton planning using dose-volume histogram-based mimicking of the photon reference dose and reducing organ at risk dose optimization. International Journal of Radiation Oncology, Biology, Physics 2019;103(1):251-8.
Kim 2007 {published data only}
    1. Kim Y, Tome WA. On the radiobiological impact of metal artifacts in head-and-neck IMRT in terms of tumor control probability (TCP) and normal tissue complication probability (NTCP). Medical & Biological Engineering & Computing 2007;45(11):1045-51.
Kim 2014a {published data only}
    1. Kim MY, Yu T, Wu HG. Dose-volumetric parameters for predicting hypothyroidism after radiotherapy for head and neck cancer. Japanese Journal of Clinical Oncology 2014;44(4):331-7.
Kim 2014b {published data only}
    1. Kim ES, Yeo SG. Volumetric modulated arc radiotherapy sparing the thyroid gland for early-stage glottic cancer: A dosimetrical analysis. Oncology Letters 2014;7(6):1987-91.
Kim 2020 {published data only}
    1. Kim EA, Salazar D, McCannel CA, Kamrava M, Demanes DJ, Lamb J, et al. Glaucoma after iodine-125 brachytherapy for uveal melanoma: incidence and risk factors. Journal of Glaucoma 2020;29(1):1-10.
Kimura 2019 {published data only}
    1. Kimura H, Hamauchi S, Kawai S, Onozawa Y, Yasui H, Yamashita A, et al. Is prophylactic percutaneous endoscopic gastrostomy necessary for chemoradiotherapy after total laryngectomy? Annals of Oncology 2019;30:vi103.
Kimura 2020 {published data only}
    1. Kimura H, Hamauchi S, Kawai S, Onozawa Y, Yasui H, Yamashita A, et al. Pretreatment predictive factors for feasibility of oral intake in adjuvant concurrent chemoradiotherapy for patients with locally advanced squamous cell carcinoma of the head and neck. International Journal of Clinical Oncology 2020;25(2):258-66.
Kin‐Fong 2009 {published data only}
    1. Kin-Fong C, Pik-Ha K. Predicting psychological distress in head and neck cancer patients with oral mucositis. Supportive Care in Cancer 2009;17(7):906.
Klinghammer 2010 {published data only}
    1. Klinghammer K, Knödler M, Schmittel A, Budach V, Keilholz U, Tinhofer I. Association of epidermal growth factor receptor polymorphism, skin toxicity, and outcome in patients with squamous cell carcinoma of the head and neck receiving cetuximab-docetaxel treatment. Clinical Cancer Research 2010;16(1):304-10.
Kocak 2014 {published data only}
    1. Kocak E, Gunn BG, Colen RR, Rosenthal DI, Clifton FD. Beam path toxicity in candidate organs at risk: Assessment of radiation emetogenesis for patients receiving head and neck intensity modulated radiation therapy. International Journal of Radiation Oncology Biology Physics 2014;90(1):S512.
Koiwai 2010b {published data only}
    1. Koiwai K, Shikama N, Sasaki S, Shinoda A, Kadoya M. Validation of the total dysphagia risk score (TDRS) as a predictive measure for acute swallowing dysfunction induced by chemoradiotherapy for head and neck cancers. Radiotherapy and Oncology 2010;97(1):132-5.
Koiwai 2011 {published data only}
    1. Koiwai K, Shikama N, Sasaki S, Shinoda A, Kadoya M. Validation of the total dysphagia risk score (TDRS) as a predictive measure for acute swallowing dysfunction induced by chemoradiotherapy for head and neck cancers. Dysphagia 2011;26(3):330.
Kok 2019 {published data only}
    1. Kok JL, Teepen JC, Van Leeuwen FE, Tissing WJ, Neggers SJCMM, Van der Pal HJ, et al. Risk of benign meningioma after childhood cancer in the DCOG-LATER cohort: Contributions of radiation dose, exposed cranial volume, and age. Neuro-oncology 2019;21(3):392-403.
Kong 2016 {published data only}
    1. Kong C, Zhu XZ, Lee TF, Feng PB, Xu JH, Qian PD, et al. LASSO-based NTCP model for radiation-induced temporal lobe injury developing after intensity-modulated radiotherapy of nasopharyngeal carcinoma. Scientific Reports 2016;6:26378.
Kong 2018 {published data only}
    1. Kong M, Lim YJ, Kim Y. Concurrent chemoradiotherapy for loco-regionally advanced nasopharyngeal carcinoma: treatment outcomes and prognostic factors. Asian Pacific Journal of Cancer Prevention: Apjcp 2018;19(6):1591-9.
Kono 2017 {published data only}
    1. Kono T, Sakamoto K, Shinden S, Ogawa K. Pre-therapeutic nutritional assessment for predicting severe adverse events in patients with head and neck cancer treated by radiotherapy. Clinical Nutrition (Edinburgh, Scotland) 2017;36(6):1681-5.
Kotevski 2023 {published data only}
    1. Kotevski DP, Smee RI, Vajdic CM, Field M. Empirical comparison of routinely collected electronic health record data for head and neck cancer-specific survival in machine-learnt prognostic models. Head & Neck 2023;45(2):365-79. [DOI: 10.1002/hed.27241] - DOI
Kothe 2021a {published data only}
    1. Kothe A, Luijk P, Safai S, Kountouri M, Lomax AJ, Weber DC, et al. Combining clinical and dosimetric features in a PBS proton therapy cohort to develop a NTCP model for radiation-induced optic neuropathy. International Journal of Radiation Oncology, Biology, Physics 2021;110(2):587-95. [DOI: 10.1016/j.ijrobp.2020.12.052] - DOI
Kothe 2021b {published data only}
    1. Kothe A, Feuvret L, Weber DC, Safai S, Lomax AJ, Fattori G. Assessment of radiation-induced optic neuropathy in a multi-institutional cohort of chordoma and chondrosarcoma patients treated with proton therapy. Cancers 2021;13(21):5327. [DOI: 10.3390/cancers13215327] - DOI
Kovalchik 2013 {published data only}
    1. Kovalchik SA, Ronckers CM, Veiga LH, Sigurdson AJ, Inskip PD, De Vathaire F, et al. Absolute risk prediction of second primary thyroid cancer among 5-year survivors of childhood cancer. Journal of Clinical Oncology 2013;31(1):119-27.
Krisciunas 2012 {published data only}
    1. Krisciunas G, Rahmat L, Rybin D, Doros G, Wilsterman E, Langmore S. Prevalence and predictors of dysphagia in a 7 year cohort after radiation therapy for HNC. Dysphagia 2012;27(4):581-2.
Ku 2022 {published data only}
    1. Ku PK, Wang K, Vlantis AC, Tang EW, Hui TS, Lai R, et al. Oro-pharyngo-esophageal radionuclide scintigraphy predicts aspiration pneumonia risk and associated survival in post-irradiated nasopharyngeal carcinoma patients. Laryngoscope Investigative Otolaryngology 2022;7(1):170-9. [DOI: 10.1002/lio2.704] - DOI
Kubo 2019 {published data only}
    1. Kubo N, Kubota Y, Kawamura H, Oike T, Sakai M, Kumazawa T, et al. Dosimetric parameters predictive of nasolacrimal duct obstruction after carbon-ion radiotherapy for head and neck carcinoma. Radiotherapy and Oncology 2019;141:72-7.
Kubrak 2013 {published data only}
    1. Kubrak C, Olson K, Jha N, Scrimger R, Parliament M, McCargar L, et al. Clinical determinants of weight loss in patients receiving radiation and chemoirradiation for head and neck cancer: a prospective longitudinal view. Head & Neck 2013;35(5):695-703.
Kuhnt 2005 {published data only}
    1. Kuhnt T, Jirsak N, Muller AC, Pelz T, Gernhardt C, Schaller HG, et al. Quantitative and qualitative investigations of salivary gland function in dependence on irradiation dose and volume for reduction of xerostomia in patients with head-and-neck cancer. Strahlentherapie und Onkologie 2005;181(8):520-8.
Kuhnt 2016 {published data only}
    1. Kuhnt T, Stang A, Wienke A, Vordermark D, Schweyen R, Hey J. Potential risk factors for jaw osteoradionecrosis after radiotherapy for head and neck cancer. Radiation Oncology (London, England) 2016;11:101.
Kumar 2014 {published data only}
    1. Kumar R, Madanikia S, Starmer H, Yang W, Murano E, Alcorn S, et al. Radiation dose to the floor of mouth muscles predicts swallowing complications following chemoradiation in oropharyngeal squamous cell carcinoma. Oral Oncology 2014;50(1):65-70.
Kumar 2018 {published data only}
    1. Kumar R, Narayanan D, Perumareddy V, Narayanan G. Aspiration Pneumonia in patients undergoing irradiation; the perspective of a developing country. Radiotherapy and Oncology 2018;127:S654-S655.
Kumpulainen 2000 {published data only}
    1. Kumpulainen EJ, Hirvikoski PP, Virtaniemi JA, Johansson RT, Simonen PM, Terava MT, et al. Hypothyroidism after radiotherapy for laryngeal cancer. Radiotherapy and Oncology 2000;57(1):97-101.
Kusaka 2022 {published data only}
    1. Kusaka T, Shiga K, Katagiri K, Saito D, Oikawa SI, Ikeda A, et al. Treatment outcomes and prognostic factors of concurrent chemoradiotherapy with docetaxel, cisplatin, and fluorouracil in advanced head and neck cancer. Anticancer Research 2022;42(12):6047-56. [DOI: 10.21873/anticanres.16116] - DOI
Kut 2023 {published data only}
    1. Kut C, Midthune D, Lee E, Fair P, Cheunkarndee T, McNutt T, et al. Developing the POTOMAC model: a novel prediction model to study the impact of lymphopenia kinetics on survival outcomes in head and neck cancer via an ensemble tree-based machine learning approach. JCO Clinical Cancer Informatics 2023;7:e2300058. [DOI: 10.1200/cci.23.00058] - DOI
Kuten 1996 {published data only}
    1. Kuten A, Lubochitski R, Fishman G, Dale J, Stein ME. Postradiotherapy hypothyroidism: radiation dose response and chemotherapeutic radiosensitization at less than 40 Gy. Journal of Surgical Oncology 1996;61(4):281-3.
Kwon 2016 {published data only}
    1. Kwon D, Hoffman FO, Moroz BE, Simon SL. Bayesian dose-response analysis for epidemiological studies with complex uncertainty in dose estimation. Statistics in Medicine 2016;35(3):399-423.
Kwong 1996 {published data only}
    1. Kwong DL, Wei WI, Sham JS, Ho WK, Yuen PW, Chua DT, et al. Sensorineural hearing loss in patients treated for nasopharyngeal carcinoma: a prospective study of the effect of radiation and cisplatin treatment. International Journal of Radiation Oncology, Biology, Physics 1996;36(2):281-9.
Laidley 2017 {published data only}
    1. Laidley H, Noble D, Barnett G, Jena R, Burnet N. Identifying risk factors for L'Hermitte's syndrome after chemo-IMRT for head and neck cancer. Radiotherapy and Oncology 2017;123:S574-S575.
Laidley 2018 {published data only}
    1. Laidley HM, Noble DJ, Barnett GC, Forman JR, Bates AM, Benson RJ, et al. Identifying risk factors for L'Hermitte's sign after IMRT for head and neck cancer. Radiation Oncology (London, England) 2018;13(1):84.
Lakshminarayanan 2017 {published data only}
    1. Lakshminarayanan P, McNutt TR, Taylor R, Robertson SP, Hui X, Cheng Z, et al. A shape-based dose model for the prediction of high grade radiation induced xerostomia for head and neck cancer patients. International Journal of Radiation Oncology Biology Physics 2017;99(2):E682.
Langendijk 2011a {published data only}
    1. Langendijk JA, Doornaert P, Rietveld DH, Verdonck-de Leeuw IM, Rene LC, Slotman BJ, et al. A predictive model for swallowing dysfunction after curative radiotherapy in head and neck cancer. Dysphagia 2011;26(3):330.
Langendijk 2011b {published data only}
    1. Langendijk H, Christianen M, Bijl HP, Beetz I, Chouvalova O, Doornaert P, et al. A predictive model for feeding tube dependency after curative radiotherapy or chemoradiation in head and neck cancer. Radiotherapy and Oncology 2011;98:S14.
Langendijk 2011c {published data only}
    1. Langendijk H. Acute and late radiation-induced swallowing dysfunction in head and neck radiotherapy. Radiotherapy and Oncology 2011;98:S16.
Langendijk 2013 {published data only}
    1. Langendijk H. Function-sparing radiation in curable head and neck cancer. European Journal of Cancer 2013;49:S5-S6.
Langius 2010a {published data only}
    1. Langius JAE, Doornaert P, Spreeuwenberg MD, Langendijk JA, Leemans CR, Schueren M. Radiotherapy on the neck nodes predicts severe weight loss in patients with early stage laryngeal cancer. Radiotherapy and Oncology 2010;97(1):80-5.
Langius 2010b {published data only}
    1. Langius JAE, Doornaert P, Spreeuwenberg MD, Langendijk JA, Leemans CR, Van Bokhorst-de van der Schueren M, et al. Radiotherapy on the neck nodes predicts severe weight loss in patients with early stage laryngeal cancer. Radiotherapy and Oncology 2010;97(1):80-5.
Laskar 2016 {published data only}
    1. Laskar S, Bindal AA, Khanna NR, Chaudhari S, Vora T, Chinnaswami G, et al. Quantitative correlates of hypothyroidism in children with nasopharyngeal carcinoma (NPX) treated with intensity modulated radiation therapy (IMRT). International Journal of Radiation Oncology 2016;96(2):E552-E553.
Lavo 2017 {published data only}
    1. Lavo JP, Ludlow D, Morgan M, Caldito G, Nathan CA. Predicting feeding tube and tracheotomy dependence in laryngeal cancer patients. Acta Oto-Laryngologica 2017;137(3):326-30.
Lawson 2009 {published data only}
    1. Lawson JD, Gaultney J, Saba N, Grist W, Davis L, Johnstone PA. Percutaneous feeding tubes in patients with head and neck cancer: rethinking prophylactic placement for patients undergoing chemoradiation. American Journal of Otolaryngology 2009;30(4):244-9.
Lazzari 2019 {published data only}
    1. Lazzari G, De Cillis M, Terlizzi A, Silvano G. Swallowing tests and aspiration pneumonia in advanced head and neck cancer: preliminary data. Radiotherapy and Oncology 2019;132:74-5.
Le 2017 {published data only}
    1. Le Z, Niu X, Chen Y, Ou X, Zhao G, Liu Q, et al. Predictive single nucleotide polymorphism markers for acute oral mucositis in patients with nasopharyngeal carcinoma treated with radiotherapy. Oncotarget 2017;8(38):63026-37.
Le 2023 {published data only}
    1. Le WT, Bang C, Cordelle P, Markel D, Nguyen-Tan PF, Bahig H, et al. Prediction of head and neck radiotherapy toxicity using a deformable 3D CNN on longitudinal daily CBCT acquisitions. In: Proceedings - International Symposium on Biomedical Imaging. Vol. 2023-April. IEEE Computer Society, 2023. [DOI: 10.1109/isbi53787.2023.10230386] - DOI
Lee 1998 {published data only}
    1. Lee AW, Foo W, Chappell R, Fowler JF, Sze WM, Poon YF, et al. Effect of time, dose, and fractionation on temporal lobe necrosis following radiotherapy for nasopharyngeal carcinoma. International Journal of Radiation Oncology, Biology, Physics 1998;40(1):35-42.
Lee 2012a {published data only}
    1. Lee R, Slevin N, Musgrove B, Swindell R, Molassiotis A. Prediction of post-treatment trismus in head and neck cancer patients. British Journal of Oral & Maxillofacial Surgery 2012;50(4):328-32.
Lee 2012b {published data only}
    1. Lee VH, Ng SC, Leung TW, Au GK, Kwong DL. Dosimetric predictors of radiation-induced acute nausea and vomiting in IMRT for nasopharyngeal cancer. International Journal of Radiation Oncology, Biology, Physics 2012;84(1):176-82.
Lee 2013 {published data only}
    1. Lee TF, Fang FM. Quantitative analysis of normal tissue effects in the clinic (QUANTEC) guideline validation using quality of life questionnaire datasets for parotid gland constraints to avoid causing xerostomia during head-and-neck radiotherapy. Radiotherapy and Oncology 2013;106(3):352-8.
Lee 2015c {published data only}
    1. Lee LY, Chen SC, Chen WC, Huang BS, Lin CY. Postradiation trismus and its impact on quality of life in patients with head and neck cancer. Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology 2015;119(2):187-95.
Lee 2016a {published data only}
    1. Lee V, Chan SY, Choi CW, Kwong D, Lam KO, Tong CC, et al. Dosimetric predictors of hypothyroidism after radical intensity-modulated radiation therapy for non-metastatic nasopharyngeal carcinoma. Clinical Oncology (Royal College of Radiologists) 2016;28(8):e52-e60.
Lee 2016b {published data only}
    1. Lee JY, Suresh K, Nguyen R, Sapir E, Dow JS, Arnould GS, et al. Predictors of severe long-term toxicity after re-irradiation for head and neck cancer. Oral Oncology 2016;60:32-40.
Lee 2019a {published data only}
    1. Lee HJ, Stacey A, Klesert TR, Wells C, Skalet AH, Bloch C, et al. Corneal substructure dosimetry predicts corneal toxicity in patients with uveal melanoma treated with proton beam therapy. International Journal of Radiation Oncology Biology Physics 2019;104(2):374-82.
Lee 2019b {published data only}
    1. Lee M, Kabarriti R, Brodin P, Kalnicki S, Guha C, Ohri N, et al. Dose to pharyngeal constrictors and esophagus is associated with activity decline during concurrent chemoradiation for head and neck cancer. International Journal of Radiation Oncology Biology Physics 2019;105(1):E693-E694.
Lee 2021 {published data only}
    1. Lee D, Alam SR, Jiang J, Zhang P, Nadeem S, Hu YC. Deformation driven Seq2Seq longitudinal tumor and organs-at-risk prediction for radiotherapy. Medical Physics 2021;48(9):4784-98. [DOI: 10.1002/mp.15075] - DOI
Leng 2019 {published data only}
    1. Leng X, Fang P, Lin H, Qin C, Tan X, Liang Y, et al. Application of a machine learning method to whole brain white matter injury after radiotherapy for nasopharyngeal carcinoma. Cancer Imaging 2019;19(1):19.
Lertbutsayanukul 2018 {published data only}
    1. Lertbutsayanukul C, Kitpanit S, Prayongrat A, Kannarunimit D, Netsawang B, Chakkabat C. Validation of previously reported predictors for radiation-induced hypothyroidism in nasopharyngeal cancer patients treated with intensity-modulated radiation therapy, a post hoc analysis from a Phase III randomized trial. Journal of Radiation Research 2018;59(4):446-55.
Lescut 2012 {published data only}
    1. Lescut N, Nguyen F, Personeni E, Puyraveau M, Desmarets M, Hamlaoui R, et al. Assessment of a predictive score for indications of prophylactic enteral nutrition in head-and-neck cancer patients treated by radiation therapy or chemoradiation therapy. International Journal of Radiation Oncology Biology Physics 2012;84(3):S470.
Leslie 1994 {published data only}
    1. Leslie MD, Dische S. The early changes in salivary gland function during and after radiotherapy given for head and neck cancer. Radiotherapy and Oncology 1994;30(1):26-32.
Leu 2018 {published data only}
    1. Leu M, Eckbauer F, Schirmer M. Common genetic variability in TGFB1 and TGFBR1 in relation to radiotoxicity in patients with head and neck cancers. Strahlentherapie und Onkologie 2018;194(1):53.
Leung 2005 {published data only}
    1. Leung WM, Tsang NM, Chang FT, Lo CJ. Lhermitte's sign among nasopharyngeal cancer patients after radiotherapy. Head & Neck 2005;27(3):187-94.
Levendag 2007 {published data only}
    1. Levendag PC, Teguh DN, Voet P, Van der Est H, Noever I, De Kruijf WJM, et al. Dysphagia disorders in patients with cancer of the oropharynx are significantly affected by the radiation therapy dose to the superior and middle constrictor muscle: a dose-effect relationship. Radiotherapy and Oncology 2007;85(1):64-73.
Leventhal 2022 {published data only}
    1. Leventhal J, Lacouture M, Andriessen A, McLellan B, Ho A. United states cutaneous oncodermatology management (USCOM) II: a multidisciplinary-guided algorithm for the prevention and management of acute radiation dermatitis in cancer patients. Journal of Drugs in Dermatology: JDD 2022;21(11):SF3585693-SF35856914.
Li 2007 {published data only}
    1. Li Y, Taylor JM, Ten H, RK, Eisbruch A. The impact of dose on parotid salivary recovery in head and neck cancer patients treated with radiation therapy. International Journal of Radiation Oncology, Biology, Physics 2007;67(3):660-9.
Li 2009 {published data only}
    1. Li B, Li D, Lau DH, Farwell DG, Luu Q, Rocke DM, et al. Clinical-dosimetric analysis of measures of dysphagia including gastrostomy-tube dependence among head and neck cancer patients treated definitively by intensity-modulated radiotherapy with concurrent chemotherapy. Radiation Oncology (London, England) 2009;4:52.
Li 2013 {published data only}
    1. Li P, Du CR, Xu WC, Shi ZL, Zhang Q, Li ZB, et al. Correlation of dynamic changes in gamma-H2AX expression in peripheral blood lymphocytes from head and neck cancer patients with radiation-induced oral mucositis. Radiation Oncology (London, England) 2013;8:155.
Li 2017a {published data only}
    1. Li K, Yang L, Hu QY, Chen XZ, Chen M, Chen Y. Oral mucosa dose parameters predicting grade >=3 acute toxicity in locally advanced nasopharyngeal carcinoma patients treated with concurrent intensity-modulated radiation therapy and chemotherapy: an independent validation study comparing oral cavity versus mucosal surface contouring techniques. Translational Oncology 2017;10(5):752-9.
Li 2017b {published data only}
    1. Li K, Yang L, Hua Y, Chen Y, Hu Q, Xin P, et al. Oral mucosa dose parameters predict grade ≥3 acute toxicity in locally advanced nasopharyngeal carcinoma treated with concurrent imrt and chemotherapy: A study comparing oral cavity versus mucosal surface contouring techniques. International Journal of Radiation Oncology Biology Physics 2017;99(2):E328-E329.
Li 2017c {published data only}
    1. Li K, Yang L, Xin P, Chen Y, Hu QY, Chen XZ, et al. Impact of dose volume parameters and clinical factors on acute radiation oral mucositis for locally advanced nasopharyngeal carcinoma patients treated with concurrent intensity-modulated radiation therapy and chemoradiotherapy. Oral Oncology 2017;72:32-7.
Li 2018 {published data only}
    1. Li Y, Xu T, Qian W, Lu X, Hu C. Radiation-induced nasopharyngeal ulcers after intensity modulated radiotherapy in primary nasopharyngeal carcinoma patients: A dose-volume-outcome analysis. Oral Oncology 2018;84:1-6.
Li 2019a {published data only}
    1. Li Z, Wu Q, Meng X, Jiang D, Yu H, Chen G, et al. Oral ph values predict the incidence of radiotherapy related caries in nasopharyngeal carcinoma patients. International Journal of Radiation Oncology Biology Physics 2019;105(1):E393.
Li 2019b {published data only}
    1. Li H, Li L, Huang X, Li Y, Zou T, Zhuo X, et al. Radiotherapy-induced dysphagia and its impact on quality of life in patients with nasopharyngeal carcinoma. Strahlentherapie und Onkologie 2019;195(6):457-67.
Li 2019c {published data only}
    1. Li XY, Sun XS, Liu SL, Chen QY, Guo SS, Liu LT, et al. The development of a nomogram to predict post-radiation necrosis in nasopharyngeal carcinoma patients: A large-scale cohort study. Cancer Management and Research 2019;11:6253-63.
Li 2022c {published data only}
    1. Li H, He Y, Zhuo X, Yue Z, Rong X, Li Y, et al. Establishment and validation of a predictive model for radiation-associated aspiration pneumonia in patients with radiation-induced dysphagia after nasopharyngeal carcinoma. Behavioural Neurology 2022;2022:6307804. [DOI: 10.1155/2022/6307804] - DOI
Liang 2020 {published data only}
    1. Liang Y, Chen KH, Yang J, Zhang J, Peng RR, Qu S, et al. Acute toxicities and prognosis of elderly patients with nasopharyngeal carcinoma after intensity-modulated radiotherapy: prediction with nomogram. Cancer Management and Research 2020;12:8821-32.
Lin 2018a {published data only}
    1. Lin A, Rwigema JC, Langendijk J, Lukens J, Swisher-McClure S, Langendijk J. Model-based clinical validation of proton therapy in head and neck cancer. Radiotherapy and Oncology 2018;127:S179.
Lin 2018b {published data only}
    1. Lin YH, Huang TL, Chien CY, Chen HC, Hsu HC, Huang EY, et al. Pretreatment prognostic factors of survival and late toxicities for patients with nasopharyngeal carcinoma treated by simultaneous integrated boost intensity-modulated radiotherapy. Radiation Oncology (London, England) 2018;13(1):45.
Lin 2022 {published data only}
    1. Lin X, Li Z, Chen S, Yang Y, He H, Lv X, et al. Divergent white matter changes in patients with nasopharyngeal carcinoma post-radiotherapy with different outcomes: a potential biomarker for prediction of radiation necrosis. European Radiology 2022;32(10):7036-47. [DOI: 10.1007/s00330-022-08907-z] - DOI
Lin 2023 {published data only}
    1. Lin X, Guo Z, Lin S, Qiu Y. Transcriptional expression of radiation-induced early cortical morphological alterations and its association with radiation necrosis in patients with nasopharyngeal carcinoma. Radiotherapy and Oncology 2023;186:109770. [DOI: 10.1016/j.radonc.2023.109770] - DOI
Ling 2016 {published data only}
    1. Ling DC, Vargo J, Ferris RL, Ohr J, Clump DA, Yau WY, et al. Risk of severe toxicity based on site of recurrence in patients treated with stereotactic body radiation therapy for recurrent head and neck cancer. International Journal of Radiation Oncology 2016;96(2):S67.
Little 2010 {published data only}
    1. Little MB, Feng FY, Vineberg K, Fritsch B, Murdoch-Kinch C, Eisbruch A. Predictors of xerostomia after head and neck IMRT: Beyond the parotid glands. International Journal of Radiation Oncology Biology Physics 2010;78(3):S81.
Little 2012 {published data only}
    1. Little M, Schipper M, Feng FY, Vineberg K, Cornwall C, Murdoch-Kinch CA, et al. Reducing xerostomia after chemo-IMRT for head-and-neck cancer: beyond sparing the parotid glands. International Journal of Radiation Oncology, Biology, Physics 2012;83(3):1007-14.
Liu 2018 {published data only}
    1. Liu Z, Cao Y, Ma C, Sun J, Zhang C, He Y. Nomogram model to predict postoperative relapse after mandibular osteoradionecrosis surgery. Journal of Cranio-Maxillofacial Surgery 2018;46(11):1960-7.
Liu 2021 {published data only}
    1. Liu ZA, Papaioannou V, Bouffet E, Hodgson D, Keilty D, Khandwala M, et al. Hearing loss after radiation and chemotherapy for central nervous system and head and neck tumours in children. Radiotherapy and Oncology 2021;163:S20. [DOI: 10.1016/s0167-8140(21)08919-2] - DOI
Liu 2022a {published data only}
    1. Liu T, Shen BW, Liu LT, Yang ZC, Wang SQ, Lin DF, et al. Impact of salvage radiotherapy on survival of patients with advanced locally recurrent nasopharyngeal carcinoma: Derivation and validation of a predictive model. Radiotherapy and Oncology 2022;167:252-60. [DOI: 10.1016/j.radonc.2021.12.046] - DOI
Liu 2023 {published data only}
    1. Liu HC, Williamson CW, Zou J, Todd JR, Nelson TJ, Hill LM, et al. Quantitative prediction of aspiration risk in head and neck cancer patients treated with radiation therapy. Oral Oncology 2023;136:106247. [DOI: 10.1016/j.oraloncology.2022.106247] - DOI
Lonbro 2016 {published data only}
    1. Lonbro S, Petersen GB, Andersen JR, Johansen J. Prediction of critical weight loss during radiation treatment in head and neck cancer patients is dependent on BMI. Supportive Care in Cancer 2016;24(5):2101-9.
Lu 2018 {published data only}
    1. Lu L, Sheng Y, Zhang G, Li Y, OuYang PY, Ge Y, et al. Temporal lobe injury patterns following intensity modulated radiotherapy in a large cohort of nasopharyngeal carcinoma patients. Oral Oncology 2018;85:8-14.
Lu 2023 {published data only}
    1. Lu S, Xiao X, Yan Z, Cheng T, Tan X, Zhao R, et al. Prognosis forecast of re-irradiation for recurrent nasopharyngeal carcinoma based on deep learning multi-modal information fusion. IEEE Journal of Biomedical and Health Informatics 2023;27(12):6088-99. [DOI: 10.1109/jbhi.2023.3286656] - DOI
Lumbroso 2002 {published data only}
    1. Lumbroso L, Dendale R, Fourquet A, Desjardins L. Radiation-induced retinopathy. Cancer Radiotherapie 2002;6(5):289-95.
Lumbroso‐Le 2004 {published data only}
    1. Lumbroso-Le R, Charif C, Levy C, Plancher C, Dendale R, Asselain B, et al. 125l plaque brachytherapy for anterior uveal melanomas. Eye (London, England) 2004;18(9):911-6.
Lundell 1994 {published data only}
    1. Lundell M, Hakulinen T, Holm LE. Thyroid cancer after radiotherapy for skin hemangioma in infancy. Radiation Research 1994;140(3):334-9.
Luo 2005a {published data only}
    1. Luo DH, Hong MH, Guo L, Cao KJ, Deng MQ, Mo HY. Analysis of oral mucositis risk factors during radiotherapy for nasopharyngeal carcinoma patients and establishment of a discriminant model. Ai Zheng [Chinese Journal of Cancer] 2005;24(7):850-4.
Luo 2005b {published data only}
    1. Luo DH, Hong MH, Guo L, Cao KJ, Deng MQ, Mo HY. Analysis of oral mucositis risk factors during radiotherapy for nasopharyngeal carcinoma patients and establishment of a discriminant model. Ai Zheng [Chinese Journal of Cancer] 2005;24(7):850-4.
Luo 2021 {published data only}
    1. Luo WJ, Zou WQ, Liang SB, Chen L, Zhou GQ, Peng H, et al. Combining tumor response and personalized risk assessment: Potential for adaptation of concurrent chemotherapy in locoregionally advanced nasopharyngeal carcinoma in the intensity-modulated radiotherapy era. Radiotherapy and Oncology 2021;155:56-64.
Machtay 2012 {published data only}
    1. Machtay M, Moughan J, Farach A, Martin-O'Meara E, Galvin J, Garden AS, et al. Hypopharyngeal dose is associated with severe late toxicity in locally advanced head-and-neck cancer: an RTOG analysis. International Journal of Radiation Oncology, Biology, Physics 2012;84(4):983-9.
Maes 2002 {published data only}
    1. Maes A, Weltens C, Flamen P, Lambin P, Bogaerts R, Liu X, et al. Preservation of parotid function with uncomplicated conformal radiotherapy. Radiotherapy and Oncology 2002;63(2):203-11.
Mallick 2013 {published data only}
    1. Mallick I, Gupta SK, Ray R, Sinha T, Sinha S, Achari R, et al. Predictors of weight loss during conformal radiotherapy for head and neck cancers - how important are planning target volumes? Clinical Oncology (Royal College of Radiologists) 2013;25(9):557-63.
Mangar 2006 {published data only}
    1. Mangar S, Slevin N, Mais K, Sykes A. Evaluating predictive factors for determining enteral nutrition in patients receiving radical radiotherapy for head and neck cancer: a retrospective review. Radiotherapy and Oncology 2006;78(2):152-8.
Mao 2015 {published data only}
    1. Mao Y, Samuels S, Sapir E, Eisbruch A. Contralateral submandibular gland sparing in head and neck squamous cell carcinoma is safe and improves patient-reported outcomes (PROS). International Journal of Radiation Oncology Biology Physics 2015;93(3):S172.
Mark 2015 {published data only}
    1. Mark DJ, Kabarriti R, Broin PO, Belbin TJ, Harris T, Prystowsky MB, et al. Gene expression biomarkers for radiation toxicity with a focus on mucositis in head and neck cancers. International Journal of Radiation Oncology Biology Physics 2015;93(3):S209-S210.
Marks 1981 {published data only}
    1. Marks JE, Davis CC, Gottsman VL. The effects of radiation on parotid salivary function. International Journal of Radiation Oncology Biology Physics 1981;7(8):1013-9.
Martel 1997 {published data only}
    1. Martel MK, Sandler HM, Cornblath WT, Marsh LH, Hazuka MB, Roa WH, et al. Dose-volume complication analysis for visual pathway structures of patients with advanced paranasal sinus tumors. International Journal of Radiation Oncology Biology Physics 1997;38(2):273-84.
Maslennikova 2011 {published data only}
    1. Maslennikova A, Glaekova N, Balalaeva I, Karabur M, Kiseleva E. In vivo imaging of oral mucosa microstructure by optical coherence tomography to predict the mucositis severity. Radiotherapy and Oncology 2011;98:S9.
Matuschek 2016 {published data only}
    1. Matuschek C, Bolke E, Geigis C, Kammers K, Ganswindt U, Scheckenbach K, et al. Influence of dosimetric and clinical criteria on the requirement of artificial nutrition during radiotherapy of head and neck cancer patients. Radiotherapy and Oncology 2016;120(1):28-35.
Mavroidis 2004 {published data only}
    1. Mavroidis P, Lind BK, Theodorou K, Laurell G, Fernberg JO, Lefkopoulos D, et al. Statistical methods for clinical verification of dose-response parameters related to esophageal stricture and AVM obliteration from radiotherapy. Physics in Medicine and Biology 2004;49(16):3797-816.
Mavroidis 2017a {published data only}
    1. Mavroidis P, Price A, Fried D, Kostich M, Amdur R, Mendenhall W, et al. Fitting NTCP models to patient reported xerostomia and dysphagia after H&N radiotherapy to 60Gy. Radiotherapy and Oncology 2017;123:S269-S270.
Mavroidis 2019 {published data only}
    1. Mavroidis P, Fried DV, Amdur RJ, Mendenhall WM, Sheets NC, Green R, et al. NTCP modeling of patient reported xerostomia after de-intensified chemoradiotherapy for HPV associated oropharynx cancer. International Journal of Radiation Oncology Biology Physics 2019;105(1):S4.
Mayo 2020 {published data only}
    1. Mayo CS, Mierzwa M, Moran JM, Matuszak MM, Wilkie J, Sun G, et al. Combination of a big data analytics resource system with an artificial intelligence algorithm to identify clinically actionable radiation dose thresholds for dysphagia in head and neck patients. Advances in Radiation Oncology 2020;5(6):1296-304.
MD Anderson 2016a {published data only}
    1. M D Anderson Head Neck Cancer Symptom Working Group. Beyond mean pharyngeal constrictor dose for beam path toxicity in non-target swallowing muscles: Dose-volume correlates of chronic radiation-associated dysphagia (RAD) after oropharyngeal intensity modulated radiotherapy. Radiotherapy and Oncology 2016;118(2):304-14. [DOI: 10.1016/j.radonc.2016.01.019] - DOI
MD Anderson 2016b {published data only}
    1. M D Anderson Head Neck Cancer Symptom Working Group. Beyond mean pharyngeal constrictor dose for beam path toxicity in non-target swallowing muscles: Dose-volume correlates of chronic radiation-associated dysphagia (RAD) after oropharyngeal intensity modulated radiotherapy. Radiotherapy and Oncology 2016;118(2):304-14.
MD Anderson 2019 {published data only}
    1. M D Anderson Head Neck Cancer Symptom Working Group. Fatigue following radiation therapy in nasopharyngeal cancer survivors: A dosimetric analysis incorporating patient report and observer rating. Radiotherapy and Oncology 2019;133:35-42.
Meade 2014 {published data only}
    1. Meade S, Sanghera P, Glaholm J, Hartley A. Models of acute mucosal tolerance to radiotherapy alone applied to synchronous chemoradiation schedules in head and neck cancer. Tumour Biology 2014;35(3):2017-23.
Meyer 2007 {published data only}
    1. Meyer F, Bairati I, Jobin E, Gelinas M, Fortin A, Nabid A, et al. Acute adverse effects of radiation therapy and local recurrence in relation to dietary and plasma beta carotene and alpha tocopherol in head and neck cancer patients. Nutrition and Cancer 2007;59(1):29-35.
Meyer 2012a {published data only}
    1. Meyer F, Fortin A, Wang CS, Liu G, Bairati I. Predictors of severe acute and late toxicities in patients with localized head-and-neck cancer treated with radiation therapy. International Journal of Radiation Oncology, Biology, Physics 2012;82(4):1454-62.
Meyer 2012b {published data only}
    1. Meyer F, Bairati I, Xu W, Azad A, Liu G. Genetic sequence variants in relation to acute and late toxicities in patients with head and neck cancer treated with radiation therapy. Radiotherapy and Oncology 2012;102:S7-S8.
Miah 2011 {published data only}
    1. Miah A, Gulliford S, Bhide S, Newbold K, Harrington K, Nutting C. Dose volume histogram atlases of xerostomia incidence: An alternative predictor of recovery of salivary function. Radiotherapy and Oncology 2011;98:S27-S28.
Miah 2013 {published data only}
    1. Miah AB, Gulliford SL, Clark CH, Bhide SA, Zaidi SH, Newbold KL, et al. Dose-response analysis of parotid gland function: what is the best measure of xerostomia? Radiotherapy and Oncology 2013;106(3):341-5.
Miah 2016 {published data only}
    1. Miah AB, Gulliford SL, Morden J, Newbold KL, Bhide SA, Zaidi SH, et al. Recovery of salivary function: contralateral parotid-sparing intensity-modulated radiotherapy versus bilateral superficial lobe parotid-sparing intensity-modulated radiotherapy. Clinical Oncology (Royal College of Radiologists) 2016;28(9):e69-e76.
Mierzwa 2020 {published data only}
    1. Mierzwa ML, Gharzai LA, Li P, Wilkie JR, Hawkins PG, Aryal MP, et al. Early MRI blood volume changes in constrictor muscles correlate with postradiation dysphagia. International Journal of Radiation Oncology, Biology, Physics 2020;24:24.
Mierzwa 2021 {published data only}
    1. Mierzwa ML, Gharzai LA, Li P, Wilkie JR, Hawkins PG, Aryal MP, et al. Early MRI blood volume changes in constrictor muscles correlate with postradiation dysphagia. International Journal of Radiation Oncology, Biology, Physics 2021;110(2):566-73. [DOI: 10.1016/j.ijrobp.2020.12.018] - DOI
Milano 2018 {published data only}
    1. Milano MT, Grimm J, Soltys SG, Yorke E, Moiseenko V, Tomé WA, et al. Single- and multi-fraction stereotactic radiosurgery dose tolerances of the optic pathways. International Journal of Radiation Oncology Biology Physics 2018;110:87-99.
Mohamed 2016 {published data only}
    1. Mohamed AS, Lai SY, Murri M, Hutcheson KA, Sandulache VC, Hobbs B, et al. Dose-volume correlates of osteoradionecrosis of the mandible in oropharynx patients receiving intensity modulated radiation therapy. International Journal of Radiation Oncology 2016;96(2):S220-S221.
Mohamed 2019 {published data only}
    1. Mohamed AS, Feghali KA, Ng S, Elhalawani H, Hutcheson K, Chambers M, et al. Three-dimensional radiation dose of osteoradionecrosis in oropharyngeal cancer receiving IMRT. Radiotherapy and Oncology 2019;132:63-4.
Mohan 2022 {published data only}
    1. Mohan V, Bruin NM, Steenbakkers RJHM, Noordzij W, Terhaard CH, De Keizer B, et al. Dose response modelling of secretory cell loss in salivary glands using PSMA PET. Radiotherapy and Oncology 2022;177:164-71. [DOI: 10.1016/j.radonc.2022.10.038] - DOI
Moiseenko 2012 {published data only}
    1. Moiseenko V, Wu J, Hovan A, Saleh Z, Apte A, Deasy JO, et al. Treatment planning constraints to avoid xerostomia in head-and-neck radiotherapy: an independent test of QUANTEC criteria using a prospectively collected dataset. International Journal of Radiation Oncology, Biology, Physics 2012;82(3):1108-14.
Monroe 2005 {published data only}
    1. Monroe AT, Bhandare N, Morris CG, Mendenhall WM. Preventing radiation retinopathy with hyperfractionation. International Journal of Radiation Oncology, Biology, Physics 2005;61(3):856-64.
Monroe 2014 {published data only}
    1. Monroe AT, Reddy SC, Peddada AV. Dorsal vagal complex of the brainstem: conformal avoidance to reduce nausea. Practical Radiation Oncology 2014;4(4):267-71.
Monroe 2016 {published data only}
    1. Monroe AT, Flesher-Bratt D, Morris CG, Peddada AV. Prospectively-collected, tooth-specific dosimetry correlated with adverse dental outcomes. Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology 2016;122(2):158-63.
Monti 2017 {published data only}
    1. Monti S, Palma G, D'Avino V, Gerardi M, Marvaso G, Ciardo D, et al. Voxel-based analysis unveils regional dose differences associated with radiation-induced morbidity in head and neck cancer patients. Scientific Reports 2017;7(1):7220.
Mori 2018 {published data only}
    1. Mori M, Dell'Oca I, Foti S, Cattaneo GM, Calandrino R, Di M, et al. Skin DVHs predict cutaneous toxicity in Head and Neck cancer patients treated with Tomotherapy. Radiotherapy and Oncology 2018;127:S1082-S1083.
Mori 2019a {published data only}
    1. Mori M, Foti S, Dell’ O, Branchini M, Broggi S, Cattaneo GM, et al. Planned and delivered DVHs of the skin predict acute cutaneous toxicity after IGRT for HN cancer. Radiotherapy and Oncology 2019;133:S323.
Mortensen 2011a {published data only}
    1. Mortensen HR, Jensen K, Overgaard J, Specht L, Overgaard M, Johansen J, et al. Factors associated with acute and late dysphagia in the DAHANCA 6 & 7 trial. Radiotherapy and Oncology 2011;98:S13.
Mortensen 2011b {published data only}
    1. Mortensen HR, Jensen K, Overgaard J, Specht L, Overgaard M, Johansen J, et al. Risk factors for swallowing dysfunction after radiotherapy in the DAHANCA 6 & 7 randomized trial. Radiotherapy and Oncology 2011;99:S50.
Mortensen 2013a {published data only}
    1. Mortensen HR, Overgaard J, Jensen K, Specht L, Overgaard M, Johansen J, et al. Factors associated with acute and late dysphagia in the DAHANCA 6 & 7 randomized trial with accelerated radiotherapy for head and neck cancer. Acta Oncologica 2013;52(7):1535-42.
Mortensen 2013b {published data only}
    1. Mortensen HR, Jensen K, Aksglaede K, Behrens M, Grau C. Late dysphagia after IMRT for head and neck cancer and correlation with dose-volume parameters. Radiotherapy and Oncology 2013;107(3):288-94.
Mosleh‐Shirazi 2019 {published data only}
    1. Mosleh-Shirazi MA, Amraee A, Mohaghegh F. Dose-response relationship and normal-tissue complication probability of conductive hearing loss in patients undergoing head-and-neck or cranial radiotherapy: A prospective study including 70 ears. Physica Medica 2019;61:64-9.
Mosleh‐Shirazi 2022 {published data only}
    1. Mosleh-Shirazi MA, Sheikholeslami A, Fathipour E, Mohammadianpanah M, Ansari M, Karbasi S, et al. Equivalent uniform dose and normal tissue complication probability of acute esophagitis in head-and-neck radiotherapy: Sensitivity to dose calculation accuracy. International Journal of Radiation Research 2022;20(2):447-54. [DOI: 10.52547/ijrr.20.2.28] - DOI
Moubayed 2015 {published data only}
    1. Moubayed SP, Sampalis JS, Ayad T, Guertin L, Bissada E, Gologan OE, et al. Predicting depression and quality of life among long-term head and neck cancer survivors. Otolaryngology--head and Neck Surgery 2015;152(1):91-7.
Mouw 2010 {published data only}
    1. Mouw KW, Haraf DJ, Stenson KM, Cohen EE, Xi X, Witt ME, et al. Factors associated with long-term speech and swallowing outcomes after chemoradiotherapy for locoregionally advanced head and neck cancer. Archives of Otolaryngology Head & Neck Surgery 2010;136(12):1226-34.
Munter 2004 {published data only}
    1. Munter MW, Karger CP, Hoffner SG, Hof H, Thilmann C, Rudat V, et al. Evaluation of salivary gland function after treatment of head-and-neck tumors with intensity-modulated radiotherapy by quantitative pertechnetate scintigraphy. International Journal of Radiation Oncology, Biology, Physics 2004;58(1):175-84.
Munter 2007 {published data only}
    1. Munter MW, Hoffner S, Hof H, Herfarth KK, Haberkorn U, Rudat V, et al. Changes in salivary gland function after radiotherapy of head and neck tumors measured by quantitative pertechnetate scintigraphy: comparison of intensity-modulated radiotherapy and conventional radiation therapy with and without Amifostine. International Journal of Radiation Oncology, Biology, Physics 2007;67(3):651-9.
Musha 2015 {published data only}
    1. Musha A, Shimada H, Shirai K, Saitoh J, Yokoo S, Chikamatsu K, et al. Prediction of acute radiation mucositis using an oral mucosal dose surface model in carbon ion radiotherapy for head and neck tumors. PLoS ONE 2015;10(10):e0141734.
Musha 2016 {published data only}
    1. Musha A, Shimada H, Shirai K, Saitoh JI, Abe T, Kobayashi D, et al. Temporal pattern of acute radiation mucositis by oral mucosal dose surface model in head and neck cancers treated by carbon ion radiation therapy. International Journal of Radiation Oncology 2016;96(2):E352.
Musha 2017a {published data only}
    1. Musha A, Yokoo S. Prediction of acute radiation mucositis using an oral mucosal dose surface model in intensity modulated radiation therapy for head and neck tumours. International Journal of Oral and Maxillofacial Surgery 2017;46:292.
Musha 2017b {published data only}
    1. Musha A, Shirai K, Saitoh JI, Abe T, Yokoo S, Chikamatsu K, et al. Forecast accuracy of mucositis using an oral mucosal dose model in intensity modulated radiation therapy for head and neck. International Journal of Radiation Oncology Biology Physics 2017;99(2):E360-E361.
Musha 2019 {published data only}
    1. Musha A, Fukata K, Saitoh JI, Shirai K, Abe T, Mizukami T, et al. Tongue surface model can predict radiation tongue mucositis due to intensity-modulated radiation therapy for head and neck cancer. International Journal of Oral and Maxillofacial Surgery 2019;24:24.
Nakatsugawa 2015 {published data only}
    1. Nakatsugawa M, Cheng Z, Sakaue K, Sugiyama S, Kiess AP, Allen M, et al. Prediction of toxicity in irradiated head and neck cancer patients based on the geometry of high/middle/low ptvs to surrounding oars. International Journal of Radiation Oncology Biology Physics 2015;93(3):E368.
Nakatsugawa 2016 {published data only}
    1. Nakatsugawa M, Cheng Z, Goatman KA, Lee J, Robinson A, Choflet A, et al. Radiomic analysis of salivary glands and its role for predicting xerostomia in irradiated head and neck cancer patients. International Journal of Radiation Oncology 2016;96(2):S217.
Nakatsugawa 2019 {published data only}
    1. Nakatsugawa M, Cheng Z, Kiess A, Choflet A, Bowers M, Utsunomiya K, et al. The needs and benefits of continuous model updates on the accuracy of RT-induced toxicity prediction models within a learning health system. International Journal of Radiation Oncology, Biology, Physics 2019;103(2):460-7.
Narayan 2008 {published data only}
    1. Narayan S, Lehmann J, Coleman MA, Vaughan A, Yang CC, Enepekides D, et al. Prospective evaluation to establish a dose response for clinical oral mucositis in patients undergoing head-and-neck conformal radiotherapy. International Journal of Radiation Oncology, Biology, Physics 2008;72(3):756-62.
Narayanasamy 2014 {published data only}
    1. Narayanasamy G, Pyakuryal A, Pandit S, Sio TT, Vincent J, Kudrimoti MR, et al. Radiobiological evaluation of IMRT treatment of head and neck patients: Multi-institutional study. International Journal of Radiation Oncology Biology Physics 2014;90(1):S515.
Narayanasamy 2015 {published data only}
    1. Narayanasamy G, Pyakuryal AP, Pandit S, Vincent J, Lee C, Mavroidis P, et al. Radiobiological evaluation of intensity modulated radiation therapy treatments of patients with head and neck cancer: A dual-institutional study. Journal of Medical Physics 2015;40(3):165-9.
Nardone 2018 {published data only}
    1. Nardone V, Tini P, Nioche C, Mazzei MA, Carfagno T, Battaglia G, et al. Texture analysis as a predictor of radiation-induced xerostomia in head and neck patients undergoing IMRT. Radiologia Medica 2018;123(6):415-23.
Nguyen 2019 {published data only}
    1. Nguyen SM, Sison J, Jones M, Berry JL, Kim JW, Murphree AL, et al. Lens dose-response prediction modeling and cataract incidence in patients with retinoblastoma after lens-sparing or whole-eye radiation therapy. International Journal of Radiation Oncology Biology Physics 2019;103(5):1143-50.
Niewald 1996 {published data only}
    1. Niewald M, Barbie O, Schnabel K, Engel M, Schedler M, Nieder C, et al. Risk factors and dose-effect relationship for osteoradionecrosis after hyperfractionated and conventionally fractionated radiotherapy for oral cancer. British Journal of Radiology 1996;69(825):847-51.
Niyazi 2020 {published data only}
    1. Niyazi M, Niemierko A, Paganetti H, Sohn M, Schapira E, Goldberg S, et al. Volumetric and actuarial analysis of brain necrosis in proton therapy using a novel mixture cure model. Radiotherapy and Oncology 2020;142:154-61.
O'Hare 2017 {published data only}
    1. O'Hare J, Maclean J, Szczesniak M, Gupta R, Wu P, Quon H, et al. Laryngeal tumours and radiotherapy dose to the cricopharyngeus are predictive of death from aspiration pneumonia. Oral Oncology 2017;64:9-14.
Ogama 2010a {published data only}
    1. Ogama N, Suzuki S, Yasui Y, Azenishi K, Shimizu Y. Analysis of causal models of diet for patients with head and neck cancer receiving radiation therapy. European Journal of Oncology Nursing 2010;14(4):291-8.
Ogama 2010b {published data only}
    1. Ogama N, Suzuki S, Umeshita K, Kobayashi T, Kaneko S, Kato S, et al. Appetite and adverse effects associated with radiation therapy in patients with head and neck cancer. European Journal of Oncology Nursing 2010;14(1):3-10.
Oh 2012 {published data only}
    1. Oh J, Riaz N, Jaffray S, Estilo CL, Lee RS, Katsoulakis E, et al. A novel modeling for salivary toxicity based on salivary flow recovery over time in head-and-neck cancer patients treated with radiation therapy. International Journal of Radiation Oncology Biology Physics 2012;84(3):S503-S504.
Oh 2019 {published data only}
    1. Oh J, Tran E, Berthelet E, Wu J, Olson R, Bowman A, et al. Nutritional risk index in patients undergoing chemoradiation therapy for oral cavity and oropharynx cancer. Radiotherapy and Oncology 2019;139:S26.
Okamoto 2017 {published data only}
    1. Okamoto I, Tsukahara K, Sato H, Motohashi R, Yunaiyama D, Shimizu A. Mild pulmonary emphysema a risk factor for interstitial lung disease when using cetuximab for squamous cell carcinoma of the head and neck. Acta Oto-Laryngologica 2017;137(12):1288-91.
Olteanu 2016 {published data only}
    1. Olteanu L, Duprez F, De Neve WC, Vercauteren T, Berwouts D, et al. Late mucosal ulcersddose limiting toxicity in adapted dose escalated head and neck cancer treatments. International Journal of Radiation Oncology 2016;96(2):E331-E332.
Orlandi 2019 {published data only}
    1. Orlandi E, Miceli R, Infante G, Mirabile A, Alterio D, Cossu R, et al. Predictors of patient-reported dysphagia following IMRT plus chemotherapy in oropharyngeal cancer. Dysphagia 2019;34(1):52-62.
Ortholan 2009 {published data only}
    1. Ortholan C, Chamorey E, Benezery K, Thariat J, Dassonville O, Poissonnet G, et al. Modeling of salivary production recovery after radiotherapy using mixed models: determination of optimal dose constraint for IMRT planning and construction of convenient tools to predict salivary function. International Journal of Radiation Oncology, Biology, Physics 2009;73(1):178-86.
Otter 2012 {published data only}
    1. Otter S, Gulliford S, Schick U, Zaidi S, Newbold K, Nutting C, et al. Atlas-based dose volume modeling of individual patient dosedistribution (oral and pharyngeal mucosa) to predict the risk of acute grade 3 oral and pharyngeal mucositis. International Journal of Radiation Oncology Biology Physics 2012;84(3):S60-S61.
Otter 2015 {published data only}
    1. Otter S, Schick U, Gulliford S, Lal P, Franceschini D, Newbold K, et al. Evaluation of the risk of grade 3 oral and pharyngeal dysphagia using atlas-based method and multivariate analyses of individual patient dose distributions. International Journal of Radiation Oncology, Biology, Physics 2015;93(3):507-15.
Owosho 2017 {published data only}
    1. Owosho AA, Tsai CJ, Lee RS, Freymiller H, Kadempour A, Varthis S, et al. The prevalence and risk factors associated with osteoradionecrosis of the jaw in oral and oropharyngeal cancer patients treated with intensity-modulated radiation therapy (IMRT): The Memorial Sloan Kettering Cancer Center experience. Oral Oncology 2017;64:44-51.
Ozkaya 2017 {published data only}
    1. Ozkaya A, Guven Y, Yalman D, Yuce B, Demirkilinc B, Afrashi F, et al. Evaluation of the radiation dose-volume effects of optic nerves and chiasm by psychophysical, electrophysiologic tests, and optical coherence tomography in nasopharyngeal carcinoma. Technology in Cancer Research & Treatment 2017;16(6):969-77.
Pagliara 2018 {published data only}
    1. Pagliara MM, Tagliaferri L, Azario L, Lenkowicz J, Lanza A, Autorino R, et al. Ruthenium brachytherapy for uveal melanomas: Factors affecting the development of radiation complications. Brachytherapy 2018;17(2):432-8.
Pagliara 2020 {published data only}
    1. Pagliara MM, Tagliaferri L, Lenkowicz J, Azario L, Giattini D, Fionda B, et al. Avatar: Analysis for visual acuity prediction after eye interventional radiotherapy. In Vivo 2020;34(1):381-7.
Palazzi 2008 {published data only}
    1. Palazzi M, Tomatis S, Orlandi E, Guzzo M, Sangalli C, Potepan P, et al. Effects of treatment intensification on acute local toxicity during radiotherapy for head and neck cancer: prospective observational study validating CTCAE, version 3.0, scoring system. International Journal of Radiation Oncology, Biology, Physics 2008;70(2):330-7.
Pardo‐Montero 2021 {published data only}
    1. Pardo-Montero J, Parga-Pazos M, Fenwick JD. Classification of tolerable/intolerable mucosal toxicity of head-and-neck radiotherapy schedules with a biomathematical model of cell dynamics. Medical Physics 2021;11:11.
Pareek 2019a {published data only}
    1. Pareek V, Bhalavat R, Chandra M, Bakshi C, Dutta S. Incidence of hypothyroidism following EBRT in Head and Neck malignancies with DVH predictors. Radiotherapy and Oncology 2019;132:46-7.
Pareek 2019b {published data only}
    1. Pareek V. Assessment of acute toxicities in nasopharyngeal carcinoma with IMRT - A tale of two contours. Radiotherapy and Oncology 2019;132:46.
Parsons 1994 {published data only}
    1. Parsons JT, Bova FJ, Fitzgerald CR, Mendenhall WM, Million RR. Radiation retinopathy after external-beam irradiation: analysis of time-dose factors. International Journal of Radiation Oncology, Biology, Physics 1994;30(4):765-73.
Patel 2016 {published data only}
    1. Patel SA, Aizer AA, Weyman E, Lu HM, Yeap BY, Busse PM, et al. Multimodal assessment of hearing function after chemoradiation for nasopharyngeal carcinoma: A prospective study. International Journal of Radiation Oncology 2016;96(2):E338.
Patterson 2011 {published data only}
    1. Patterson JM, Hildreth A, McColl E, Carding PN, Hamilton D, Wilson JA. The clinical application of the 100mL water swallow test in head and neck cancer. Oral Oncology 2011;47(3):180-4.
Patterson 2018 {published data only}
    1. Patterson JM, McColl E, Carding PN, Wilson JA. Swallowing beyond six years post (chemo)radiotherapy for head and neck cancer; a cohort study. Oral Oncology 2018;83:53-8.
Peiffert 1997 {published data only}
    1. Peiffert D. Risk factors of late complications after interstitial 192Ir brachytherapy in cancers of the oral cavity. Cancer Radiotherapie 1997;1(4):283-91.
Periasamy 2016 {published data only}
    1. Periasamy K, Pasricha R, Patni N, Soni TP. Clinical-dosimetric analysis of factors predisposing to chronic dysphagia measured using CTCAE criteria among locally advanced oropharyngeal cancer patients treated definitely by intensity modulated radiotherapy with concurrent chemotherapy. Annals of Oncology 2016;27:vi342.
Petersen 2011 {published data only}
    1. Petersen GB, Andersen JR, Johansen J. Predictive factors of critical weight loss during radiotherapy of head and neck cancer. European Journal of Cancer 2011;47:S548-S549.
Petersson 2021 {published data only}
    1. Petersson K, Finizia C, Tuomi L. Predictors of severe dysphagia following radiotherapy for head and neck cancer. Laryngoscope Investigative Otolaryngology 2021;6(6):1395-405. [DOI: 10.1002/lio2.676] - DOI
Petras 2019 {published data only}
    1. Petras KG, Rademaker AW, Refaat T, Choi M, Thomas TO, Pauloski BR, et al. Dose-volume relationship for laryngeal substructures and aspiration in patients with locally advanced head-and-neck cancer. Radiation Oncology (London, England) 2019;14(1):49.
Pilz 2017 {published data only}
    1. Pilz K, Leger S, Zwanenburg A, Richter C, Krause M, Baumann M, et al. Prediction of dysphagia and xerostomia based on CT imaging features of HNSCC patients. Radiotherapy and Oncology 2017;123:S585-S586.
Pouliliou 2015 {published data only}
    1. Pouliliou SE, Lialiaris TS, Dimitriou T, Giatromanolaki A, Papazoglou D, Pappa A, et al. Survival fraction at 2 Gy and γh2AX expression kinetics in peripheral blood lymphocytes from cancer patients: Relationship with acute radiation-induced toxicities. International Journal of Radiation Oncology Biology Physics 2015;92(3):667-74.
Poulsen 2008 {published data only}
    1. Poulsen MG, Riddle B, Keller J, Porceddu SV, Tripcony L. Predictors of acute grade 4 swallowing toxicity in patients with stages III and IV squamous carcinoma of the head and neck treated with radiotherapy alone. Radiotherapy and Oncology 2008;87(2):253-9.
Powrózek 2019 {published data only}
    1. Powrózek T, Brzozowska A, Mazurek M, Mlak R, Sobieszek G, Małecka-Massalska T. Combined analysis of miRNA-181a with phase angle derived from bioelectrical impedance predicts radiotherapy-induced changes in body composition and survival of male patients with head and neck cancer. Head & Neck 2019;41(9):3247-57.
Prameela 2016 {published data only}
    1. Prameela C, Ravind R, Renil M, Sheejamol V, Dinesh M. Radiation dose to dysphagia aspiration-related structures and its effect on swallowing: Comparison of three-dimensional conformal radiotherapy and intensity-modulated radiation therapy plans. Journal of Cancer Research and Therapeutics 2016;12(2):845-51.
Pratesi 2011 {published data only}
    1. Pratesi N, Mangoni M, Mancini I, Paiar F, Simi L, Livi L, et al. Association between single nucleotide polymorphisms in the XRCC1 and RAD51 genes and clinical radiosensitivity in head and neck cancer. Radiotherapy and Oncology 2011;99(3):356-61.
Prpic 2019 {published data only}
    1. Prpic M, Kruljac I, Kust D, Suton P, Purgar N, Bilos LK, et al. Dose-volume derived nomogram as a reliable predictor of radiotherapy-induced hypothyroidism in head and neck cancer patients. Radiology & Oncology 2019;53(4):488-96.
Purkey 2009 {published data only}
    1. Purkey MT, Levine MS, Prendes B, Norman MF, Mirza N. Predictors of aspiration pneumonia following radiotherapy for head and neck cancer. Annals of Otology, Rhinology, and Laryngology 2009;118(11):811-6.
Pyakuryal 2014 {published data only}
    1. Pyakuryal A, Pandit S, Narayanasamy G, Jang S, Lee S, Sio TT. Radio-biologic evaluation of simultaneously integrated boost (SIB) IMRT methods in head and neck cancer: Multi-institutional study. International Journal of Radiation Oncology Biology Physics 2014;90(1):S789-S790.
Qin 2022 {published data only}
    1. Qin YH, Yin Y, Qiu QT, Huang L, Wang RZ. Prediction of acute radiation-induced xerostomia grading of nasopharyngeal carcinoma based on multi-sequence MRI radiomics of the parotid gland. Chinese Journal of Cancer Prevention and Treatment 2022;29(22):1599-605. [DOI: 10.16073/j.cnki.cjcpt.2022.22.05] - DOI
Quan 2016 {published data only}
    1. Quan K, Xu KM, Zhang Y, Clump DA, Lalonde R, Burton SA, et al. Estimation of toxicities following stereotactic ablative radiation therapy treatment of locally recurrent and previously irradiated head and neck squamous cell carcinoma based on a normal tissue complication probability model. International Journal of Radiation Oncology 2016;96(2):S222.
Quik 2012 {published data only}
    1. Quik EH, Feenstra TL, Krabbe PF. Discrete event simulation: Modeling simultaneous complications and outcomes. Value in Health 2012;15(7):A472.
Rachman 2022 {published data only}
    1. Rachman A, Purnamasari D, Hardianti MS, Priantono D, Rumondor BB, Irawan C. The role of Zulewski’s clinical score in screening for hypothyroidism in post-radiation therapy nasopharyngeal carcinoma patients. Electron Journal of General Medicine 2022;19(6):em413. [DOI: 10.29333/ejgm/12414] - DOI
Radaideh 2016 {published data only}
    1. Radaideh KM, Matalqah LM. Predictors of radiation-induced skin toxicity in nasopharyngeal cancer patients treated by intensity-modulated radiation therapy: A prospective study. Journal of in Practice 2016;15(3):276-82.
Rades 2017 {published data only}
    1. Rades D, Bajrovic A, Bartscht T. Predictive factors and a survival score for patients irradiated for metastatic spinal cord compression from carcinoma of the salivary glands. Anticancer Research 2017;37(12):7011-5.
Radiation Oncology Summit {published data only}
    1. The American College of Radiation Oncology. Proceedings of the radiation oncology summit: ACRO 2018. In: Journal of Radiation Oncology. Vol. 7. 2018:111-38.
Rancati 2021 {published data only}
    1. Rancati T, Deneuve S, Bastogne T, Duclos M, Bois P, Bachmann P, et al. Predicting toxicity after RT for head and neck cancer: combining dosimetry with a biomarker. Radiotherapy and Oncology 2021;161:S615-S617. [DOI: 10.1016/s0167-8140(21)07063-8] - DOI
Randall 2013 {published data only}
    1. Randall K, Stevens J, Yepes JF, Randall ME, Kudrimoti M, Feddock J, et al. Analysis of factors influencing the development of xerostomia during intensity-modulated radiotherapy. Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology 2013;115(6):772-9.
Rao 2011a {published data only}
    1. Rao SS, Saleh ZH, Fong BT, Setton J, Caria N, Romanyshyn J, et al. Dosimetric evaluation of trismus in head and neck cancer patients following intensity modulated radiation therapy and chemotherapy. International Journal of Radiation Oncology Biology Physics 2011;81(2):S75-S76.
Rao 2011b {published data only}
    1. Rao SS, Jackson A, Ming L, Setton J, Fong BT, Wolden S, et al. Subjective hearing loss (SHL) after chemoradiation for nasopharyngeal and oropharyngeal cancer patients. International Journal of Radiation Oncology Biology Physics 2011;81(2):S179.
Rao 2012 {published data only}
    1. Rao SS, Saleh Z, Tam M, Apte A, Sharp G, Setton J, et al. A novel voxel-based analysis of the development of trismus following chemoradiation for oropharyngeal (OPC) cancer. International Journal of Radiation Oncology Biology Physics 2012;84(3):S30-S31.
Reber 2023 {published data only}
    1. Reber B, Van Dijk L, Anderson B, Mohamed AS, Fuller C, Lai S, et al. Comparison of machine-learning and deep-learning methods for the prediction of osteoradionecrosis resulting from head and neck cancer radiation therapy. Advances in Radiation Oncology 2023;8(4):101163. [DOI: 10.1016/j.adro.2022.101163] - DOI
Ricchetti 2016 {published data only}
    1. Ricchetti F, Mazzola R, Fersino S, Fiorentino A, Giaj L, Naccarato S, et al. Predictors of mucositis in volumetric modulated radiotherapy for oropharyngeal-oral cavity cancer. Radiotherapy and Oncology 2016;119:S500-S501.
Ritlumlert 2023a {published data only}
    1. Ritlumlert N, Wongwattananard S, Prayongrat A, Oonsiri S, Kitpanit S, Kannarunimit D, et al. Improved prediction of radiation-induced hypothyroidismin nasopharyngeal carcinoma using pre-treatment CT radiomics. Scientific Reports 2023;13(1):17437. [DOI: ]
Robertson 2014 {published data only}
    1. Robertson SP, Quon H, Kiess AP, Cheng Z, Sharabi A, McNutt TR. Routine capture of structured data elements (SDES) provides insight into unique dose-toxicity relationships in irradiated head and neck (HN) cancer patients. International Journal of Radiation Oncology Biology Physics 2014;90(1):S574.
Robertson 2015a {published data only}
    1. Robertson SP, Quon H, Kiess AP, Moore JA, Yang W, Cheng Z, et al. A data-mining framework for large scale analysis of dose-outcome relationships in a database of irradiated head and neck cancer patients. Medical Physics 2015;42(7):4329-37.
Robertson 2015b {published data only}
    1. Robertson SP, Cheng Z, Allen M, Afonso S, Choflet A, Kiess AP, et al. Impact of low-dose parotid gland planning objectives in head and neck cancer radiation therapy. International Journal of Radiation Oncology Biology Physics 2015;93(3):S212.
Robertson 2016 {published data only}
    1. Robertson SP, Hui X, Cheng Z, Gui C, Bowers MR, Moore J, et al. A risk prediction model for head and neck (HN) radiation toxicities: Dosimetric insights associated with the risk of clinical aspiration. International Journal of Radiation Oncology 2016;96(2):E351.
Rodrigues 2009 {published data only}
    1. Rodrigues NA, Killion L, Hickey G, Silver B, Martin C, Stevenson MA, et al. A prospective study of salivary gland function in lymphoma patients receiving head and neck irradiation. International Journal of Radiation Oncology Biology Physics 2009;75(4):1079-83.
Roenjom 2012a {published data only}
    1. Roenjom MF, Brink C, Hegedüs L, Overgaard J, Johansen J. Dose-response of hypothyroidism after primary radiotherapy in carcinoma of the head and neck (HNSCC). Radiotherapy and Oncology 2012;103:S202.
Roenjom 2012b {published data only}
    1. Roenjom M, Brink C, Hegedü S, Overgaard J, Johansen J. Hypothyroidism after primary radiation therapy in squamous cell carcinoma of the head and neck (HNSCC). International Journal of Radiation Oncology Biology Physics 2012;84(3):S61.
Roenjom 2014 {published data only}
    1. Roenjom M, Brink C, Bentzen SM, Hegedüs L, Overgaard J, Petersen JB, et al. A validation study of normal tissue complication probability (NTCP) models for radiation-induced hypothyroidism (HT). International Journal of Radiation Oncology Biology Physics 2014;90(1):S517.
Roenjom 2016 {published data only}
    1. Roenjom MF, Brink C, Bentzen S, Hegedüs L, Overgaard J, Petersen J, et al. External validation of a mixture NTCP model of radiationinduced hypothyroidism (HT). Radiotherapy and Oncology 2016;119:S530.
Roesink 2005 {published data only}
    1. Roesink JM, Schipper M, Busschers W, Raaijmakers CP, Terhaard CH. A comparison of mean parotid gland dose with measures of parotid gland function after radiotherapy for head-and-neck cancer: implications for future trials. International Journal of Radiation Oncology, Biology, Physics 2005;63(4):1006-9.
Rogers 2010 {published data only}
    1. Rogers SN, Johnson IA, Lowe D. Xerostomia after treatment for oral and oropharyngeal cancer using the University of Washington saliva domain and a Xerostomia-Related Quality-of-Life Scale. International Journal of Radiation Oncology, Biology, Physics 2010;77(1):16-23.
Roick 2020 {published data only}
    1. Roick J, Danker H, Dietz A, Papsdorf K, Singer S. Predictors of changes in quality of life in head and neck cancer patients: a prospective study over a 6-month period. European Archives of Oto-Rhino-Laryngology 2020;277(2):559-67.
Ruiz 2009 {published data only}
    1. Ruiz A, Lara P, Cabeza MA, Bordon E, Rodriguez JC, Alcobe J, et al. Prediction of clinical radiation induced toxicity through study of radiation induced apoptosis in peripheral blood lymphocytes (PBLs). European Journal of Cancer, Supplement 2009;7(2):479-80.
Rwigema 2017 {published data only}
    1. Rwigema JC, Langendijk JA, Van der Laan HP, Lukens JN, Swisher-McClure SD, Lin A. Proton therapy improves toxicity for oropharyngeal cancer: An outcomes and predictive model-based approach. International Journal of Radiation Oncology Biology Physics 2017;99(2):S135-S136.
Sachdev 2014a {published data only}
    1. Sachdev S, Refaat T, Bacchus ID, Sathiaseelan V, Mittal BB. Thyroid V50 predicts hypothyroidism in head and neck cancer patients treated with IMRT. International Journal of Radiation Oncology Biology Physics 2014;90(1):S549.
Sachdev 2014b {published data only}
    1. Sachdev S, Refaat T, Bacchus ID, Sathiaseelan V, Mittal BB. Age most significant predictor of requiring enteral feeding in head and neck cancer patients. International Journal of Radiation Oncology Biology Physics 2014;90(1):S558-S559.
Sachdev 2015 {published data only}
    1. Sachdev S, Refaat T, Bacchus ID, Sathiaseelan V, Mittal BB. Age most significant predictor of requiring enteral feeding in head-and-neck cancer patients. Radiation Oncology (London, England) 2015;10:93.
Sakakura 2017 {published data only}
    1. Sakakura K, Yokobori Y, Takahashi H, Chikamatsu K. Pretherapeutic parameters and functional prognosis of dysphagia in chemoradiotherapy for oropharyngeal cancer. Dysphagia 2017;32(6):851.
Salama 2008 {published data only}
    1. Salama JK, Stenson KM, List MA, Mell LK, Maccracken E, Cohen EE, et al. Characteristics associated with swallowing changes after concurrent chemotherapy and radiotherapy in patients with head and neck cancer. Archives of Otolaryngology Head & Neck Surgery 2008;134(10):1060-5.
Saleh 2011 {published data only}
    1. Saleh Z, Thorstad W, Apte A, Deasy J. Xerostomia patient reported outcomes are a linear function of contralateral parotid gland mean dose. Radiotherapy and Oncology 2011;99:S49-S50.
Saleh 2014 {published data only}
    1. Saleh Z, Thorstad WL, Apte A, Deasy JO. Modeling patient reported xerostomia-related symptoms: Confirmation of mean dose to the contralateral parotid gland as a key predictor. International Journal of Radiation Oncology Biology Physics 2014;90(1):S41.
Samant 2023 {published data only}
    1. Samant P, Ruysscher D, Hoebers F, Canters R, Hall E, Nutting C, et al. Machine learning for normal tissue complication probability prediction: Predictive power with versatility and easy implementation. Clinical and Translational Radiation Oncology 2023;39:100595. [DOI: 10.1016/j.ctro.2023.100595] - DOI
Sanguineti 2007 {published data only}
    1. Sanguineti G, Adapala P, Endres EJ, Brack C, Fiorino C, Sormani MP, et al. Dosimetric predictors of laryngeal edema. International Journal of Radiation Oncology, Biology, Physics 2007;68(3):741-9.
Sanguineti 2010 {published data only}
    1. Sanguineti G, Sormani M, Gunn G, Rao N, Marur S, Cianchetti M, et al. Effect of radiotherapy and chemotherapy on the risk of mucositis during IMRT for oropharyngeal cancer. International Journal of Radiation Oncology Biology Physics 2010;78(3):S471.
Sanguineti 2011 {published data only}
    1. Sanguineti G, Gunn GB, Parker BC, Endres EJ, Zeng J, Fiorino C. Weekly dose-volume parameters of mucosa and constrictor muscles predict the use of percutaneous endoscopic gastrostomy during exclusive intensity-modulated radiotherapy for oropharyngeal cancer. International Journal of Radiation Oncology, Biology, Physics 2011;79(1):52-9.
Sanguineti 2012 {published data only}
    1. Sanguineti G, Ricchetti F, Wu B, McNutt T. Mid-treatment volumetric change of parotids is an independent predictor of long-term xerostomia. International Journal of Radiation Oncology Biology Physics 2012;84(3):S467-S468.
Sanguineti 2013a {published data only}
    1. Sanguineti G, Rao N, Gunn B, Ricchetti F, Fiorino C. Predictors of PEG dependence after IMRT+/-chemotherapy for oropharyngeal cancer. Radiotherapy and Oncology 2013;107(3):300-4.
Sanguineti 2013b {published data only}
    1. Sanguineti G, Fiorino C. Parotid deformation during IMRT correlates with clinical and dosimetry information. European Journal of Cancer 2013;49:S90.
Sanguineti 2014 {published data only}
    1. Sanguineti G, Ricchetti F, McNutt T, Wu B, Fiorino C. Dosimetric predictors of dysphonia after intensity-modulated radiotherapy for oropharyngeal carcinoma. Clinical Oncology (Royal College of Radiologists) 2014;26(1):32-8.
Sanguineti 2015 {published data only}
    1. Sanguineti G, Ricchetti F, Wu B, McNutt T, Fiorino C. Parotid gland shrinkage during IMRT predicts the time to Xerostomia resolution. Radiation Oncology (London, England) 2015;10(1):19.
Sanquineti 2010 {published data only}
    1. Sanquineti G, Gunn G, Endres E, Parker B, Fiorino C. Weekly dose volume parameters of mucosa and constrictor muscles predict severe dysphagia during exclusive IMRT for or opharyngeal cancer. Radiotherapy and Oncology 2010;96:S337.
Sapir 2016 {published data only}
    1. Sapir E, Tao Y, Feng F, Samuels S, El N, Murdoch-Kinch CA, et al. Predictors of dysgeusia in patients with oropharyngeal cancer treated with chemotherapy and intensity modulated radiation therapy. International Journal of Radiation Oncology, Biology, Physics 2016;96(2):354-61.
Sato 2014 {published data only}
    1. Sato Y, Nakano K, Inagaki L, Tomomatsu J, Sato Y, Toshiyasu T, et al. Risk factors of prolonged duration of gastrosoma placement in locally advanced head and neck cancer patients with CCRT. Annals of Oncology 2014;25:v77.
Sayan 2017 {published data only}
    1. Sayan M, Cassidy RJ, Switchenko JM, Kayode OA, Saba NF, Steuer CE, et al. Development of late toxicities in patients with oral tongue cancer treated with surgical resection and adjuvant radiation therapy. Frontiers in Oncology 2017;6:272.
Schilstra 2001 {published data only}
    1. Schilstra C, Meertens H. Calculation of the uncertainty in complication probability for various dose-response models, applied to the parotid gland. International Journal of Radiation Oncology, Biology, Physics 2001;50(1):147-58.
Schultheiss 1990 {published data only}
    1. Schultheiss TE, Cohen L, Mansell J. Normal tissue reactions and complications following high-energy neutron beam therapy. II: Complication rates adjusted for censoring. International Journal of Radiation Oncology, Biology, Physics 1990;18(1):165-71.
Schuurhuis 2018 {published data only}
    1. Schuurhuis JM, Stokman MA, Witjes MJ, Reintsema H, Langendijk JA, Vissink A, et al. Patients with advanced periodontal disease before intensity-modulated radiation therapy are prone to develop bone healing problems: a 2-year prospective follow-up study. Supportive Care in Cancer 2018;26(4):1133-42.
Schwartz 2010 {published data only}
    1. Schwartz DL, Hutcheson K, Barringer D, Tucker SL, Kies M, Holsinger FC, et al. Candidate dosimetric predictors of long-term swallowing dysfunction after oropharyngeal intensity-modulated radiotherapy. International Journal of Radiation Oncology, Biology, Physics 2010;78(5):1356-65.
Self 2013 {published data only}
    1. Self EM, Bumpous J, Ziegler C, Wilson L, Potts K. Risk factors for hemorrhage after chemoradiation for oropharyngeal squamous cell carcinoma. JAMA Otolaryngology-- Head & Neck Surgery 2013;139(4):356-61.
Shelley 2019 {published data only}
    1. Shelley L. Exploiting IGRT to calculate delivered dose for normal tissue sparing. Radiotherapy and Oncology 2019;133:S12-S13.
Shi 2013 {published data only}
    1. Shi Q, Mendoza TR, Gunn GB, Wang XS, Rosenthal DI, Cleeland CS. Using group-based trajectory modeling to examine heterogeneity of symptom burden in patients with head and neck cancer undergoing aggressive non-surgical therapy. Quality of Life Research 2013;22(9):2331-9.
Shi 2017 {published data only}
    1. Shi Q, Gunn B, Wang XS, Mendoza T, Rosenthal D, Cleeland CS. Using patient-reported functional impairment to quantify tolerability of radiotherapy in patients with head and neck cancer. Quality of Life Research 2017;26(1):44-5.
Shiao 2016 {published data only}
    1. Shiao JC, Mohamed AS, Gunn GB, Hutcheson KA, Kanwar A, Garden AS, et al. Nontarget swallowing muscles dose-volume correlates of patient-reported outcomes after oropharyngeal intensity modulated radiation therapy (IMRT). International Journal of Radiation Oncology 2016;96(2):E335-E336.
Shirasu 2018 {published data only}
    1. Shirasu H, Yokota T, Fushiki K, Inoue H, Shibata M, Furuta M, et al. Risk factors for aspiration pneumonia during concurrent chemoradiotherapy or bio-radiotherapy for head and neck cancer. Annals of Oncology 2018;29:viii394-viii395.
Shukla 2017 {published data only}
    1. Shukla RP, Dyer BA, Evangelista LM, Bewley AF, Farwell DG, Kuhn M, et al. Predicting dysphagia in patients with head and neck carcinomas treated with radiation therapy using validated swallowing metrics. International Journal of Radiation Oncology Biology Physics 2017;99(2):E372-E373.
Sijtsema 2016 {published data only}
    1. Sijtsema NM, Van Dijk LV, Brouwer CL, Beukinga RJ, Van der Schaaf A, Burgerhof HGM, et al. CT Image biomarkers improve the prediction of xerostomia and sticky saliva. Radiotherapy and Oncology 2016;119:S121.
Simon 1993 {published data only}
    1. Simon JM, Mazeron JJ, Pohar S, Le P, Crook JM, Grimard L, et al. Effect of intersource spacing on local control and complications in brachytherapy of mobile tongue and floor of mouth. Radiotherapy and Oncology 1993;26(1):19-25.
Smith 2023 {published data only}
    1. Smith DK, Clark H, Hovan A, Wu J. Neural network and spline-based regression for the prediction of salivary hypofunction in patients undergoing radiation therapy. Radiation Oncology (London, England) 2023;18(1):77. [DOI: 10.1186/s13014-023-02274-9] - DOI
Smyczynska 2021 {published data only}
    1. Smyczynska U, Grabia S, Nowicka Z, Papis-Ubych A, Bibik R, Latusek T, et al. Prediction of radiation-induced hypothyroidism using radiomic data analysis does not show superiority over standard normal tissue complication models. Cancers 2021;13(21):5584. [DOI: 10.3390/cancers13215584] - DOI
Soares 2016 {published data only}
    1. Soares I, Dias J, Rocha H, Khouri L, Do C, Lopes, et al. Semi-supervised self-training approaches in small and unbalanced datasets: Application to xerostomia radiation side-effect. In: XIV Mediterranean Conference on Medical and Biological Engineering and Computing. Vol. 57. Springer Verlag, 2016:822-7.
Somay 2023a {published data only}
    1. Somay E, Sezen D, Selek U, Besen AA, Mertsoylu H, Topkan E. Systemic inflammation score for predicting radiation-induced trismus and osteoradionecrosis of the jaw rates in locally advanced nasopharyngeal carcinoma patients. International Journal of Hematologic Oncology 2023;33(3):158-69. [DOI: 10.4999/uhod.237293] - DOI
Sommat 2017 {published data only}
    1. Sommat K, Ong WS, Hussain A, Soong YL, Tan T, Wee J, et al. Thyroid V40 predicts primary hypothyroidism after intensity modulated radiation therapy for nasopharyngeal carcinoma. International Journal of Radiation Oncology, Biology, Physics 2017;98(3):574-80.
Sommat 2018 {published data only}
    1. Sommat K, Yit NL, Wang F, Lim JH. Impact of comorbidity on tolerability and survival following curative intent intensity modulated radiotherapy in older patients with nasopharyngeal cancer. Journal of Geriatric Oncology 2018;9(4):352-8.
Sommat 2019 {published data only}
    1. Sommat K, Hussain A, Ong WS, Yit NL, Khoo JB, Soong YL, et al. Clinical and dosimetric predictors of physician and patient reported xerostomia following intensity modulated radiotherapy for nasopharyngeal cancer - A prospective cohort analysis. Radiotherapy and Oncology 2019;138:149-57.
Spiero 2023 {published data only}
    1. Spiero I, Schuit E, Wijers OB, Hoebers FJ, Langendijk JA, Leeuwenberg AM. Comparing supervised and semi-supervised machine learning approaches in NTCP modeling to predict complications in head and neck cancer patients. Clinical and Translational Radiation Oncology 2023;43:100677. [DOI: 10.1016/j.ctro.2023.100677] - DOI
Stathakis 2009 {published data only}
    1. Stathakis S, Roland T, Papanikolaou N, Li J, Ma C. A prediction study on radiation-induced second malignancies for IMRT treatment delivery. Technology in Cancer Research & Treatment 2009;8(2):141-8.
Staton 2002 {published data only}
    1. Staton J, Robbins KT, Newman L, Samant S, Sebelik M, Vieira F. Factors predictive of poor functional outcome after chemoradiation for advanced laryngeal cancer. Otolaryngology - Head and Neck Surgery 2002;127(1):43-7.
Steenbakkers 2019a {published data only}
    1. Steenbakkers R, Stokman M, Kierkels RG, Schuurman M, Hoek AV, Bijl H, et al. Stem cell sparing IMRT for head and neck cancer patients: a double-blind randomized controlled trial. International Journal of Radiation Oncology Biology Physics 2019;105(1):S16-S17.
Steenbakkers 2019b {published data only}
    1. Steenbakkers R, Stokman M, Kierkels R, Schuurman M, Van den Hoek A, Bijl H, et al. Stem cell sparing IMRT for head and neck cancer patients: a double-blind randomized controlled trial. Radiotherapy and Oncology 2019;133:***-***.
Stewart 1982 {published data only}
    1. Stewart JR, Gibbs FA Jr. Prevention of radiation injury: predictability and preventability of complications of radiation therapy. Annual Review of Medicine 1982;33:385-95.
Stokkevåg 2019 {published data only}
    1. Stokkevåg CH, Indelicato DJ, Herfarth K, Magelssen H, Evensen ME, Ugland M, et al. Normal tissue complication probability models in plan evaluation of children with brain tumors referred to proton therapy. Acta Oncologica 2019;58(10):1416-22.
Straube 2016 {published data only}
    1. Straube C, Pigorsch SU, Scherb H, Wilkens JJ, Bier H, Combs SE. Reduced volume SIB-IMRT/IGRT to head and neck cancer in elderly and frail patients: outcome and toxicity. Radiation Oncology (London, England) 2016;11(1):133.
Strigari 2010 {published data only}
    1. Strigari L, Benassi M, Arcangeli G, Bruzzaniti V, Giovinazzo G, Marucci L. A novel dose constraint to reduce xerostomia in head-and-neck cancer patients treated with intensity-modulated radiotherapy. International Journal of Radiation Oncology, Biology, Physics 2010;77(1):269-76.
Strigari 2012 {published data only}
    1. Strigari L, Pedicini P, D'Andrea M, Pinnaro P, Marucci L, Giordano C, et al. A new model for predicting acute mucosal toxicity in head-and-neck cancer patients undergoing radiotherapy with altered schedules. International Journal of Radiation Oncology, Biology, Physics 2012;83(5):e697-e702.
Strigari 2016 {published data only}
    1. Strigari L, Pinnaro P, Carlini P, Torino F, Strolin S, Minosse S, et al. Efficacy and mucosal toxicity of concomitant chemo-radiotherapy in patients with locally-advanced squamous cell carcinoma of the head-and-neck in the light of a novel mathematical model. Critical Reviews in Oncology-Hematology 2016;102:101-10.
Studer 2006 {published data only}
    1. Studer G, Studer SP, Zwahlen RA, Huguenin P, Gratz KW, Lutolf UM, et al. Osteoradionecrosis of the mandible: minimized risk profile following intensity-modulated radiation therapy (IMRT). Strahlentherapie und Onkologie 2006;182(5):283-8.
Su 2013 {published data only}
    1. Su SF, Huang SM, Han F, Huang Y, Chen CY, Xiao WW, et al. Analysis of dosimetric factors associated with temporal lobe necrosis (TLN) in patients with nasopharyngeal carcinoma (NPC) after intensity modulated radiotherapy. Radiation Oncology (London, England) 2013;8:17.
Tagliaferri 2017 {published data only}
    1. Tagliaferri L, Larichiuta A, Pagliara M, Masciocchi C, Lenkowicz J, Azario L, et al. Nomogram for predicting maculopathy in patients treated with Ru106 brachytherapy for uveal melanoma. Radiotherapy and Oncology 2017;123:S195-S196.
Tagliaferri 2017a {published data only}
    1. Tagliaferri L, Pagliara MM, Masciocchi C, Scupola A, Azario L, Grimaldi G, et al. Nomogram for predicting radiation maculopathy in patients treated with Ruthenium-106 plaque brachytherapy for uveal melanoma. Journal of Contemporary Brachytherapy 2017;9(6):540-7.
Tardini 2022 {published data only}
    1. Tardini E, Zhang X, Canahuate G, Wentzel A, Mohamed AS, Van Dijk L, et al. Optimal treatment selection in sequential systemic and locoregional therapy of oropharyngeal squamous carcinomas: deep Q-learning with a patient-physician digital twin dyad. Journal of Medical Internet Research 2022;24(4):e29455. [DOI: 10.2196/29455] - DOI
Tarmann 2017 {published data only}
    1. Tarmann L, Wackernagel W, Ivastinovic D, Schneider M, Winkler P, Langmann G. Tumor parameters predict the risk of side effects after ruthenium-106 plaque brachytherapy of uveal melanomas. PloS One 2017;12(8):e0183833.
Taylor 1992 {published data only}
    1. Taylor JM, Mendenhall WM, Lavey RS. Dose, time, and fraction size issues for late effects in head and neck cancers. International Journal of Radiation Oncology, Biology, Physics 1992;22(1):3-11.
Teguh 2008 {published data only}
    1. Teguh DN, Levendag PC, Noever I, Van Rooij P, Voet P, Van der EST H, et al. Treatment techniques and site considerations regarding dysphagia-related quality of life in cancer of the oropharynx and nasopharynx. International Journal of Radiation Oncology, Biology, Physics 2008;72(4):1119-27.
Teguh 2011 {published data only}
    1. Teguh DN, Levendag PC, Ghidey W, Montfort K, Kwa SL. Risk model for dysphagia and xerostomia prediction in head and neck cancer patients treated by radiotherapy. Oral Oncology 2011;47:S83.
Teguh 2012 {published data only}
    1. Teguh D, Levendag P, Ghidey W, Montfoort V, Kwa S. Risk model and nomogram for dysphagia and xerostomia prediction in head and neck cancer patients treated by radiotherapy and/or chemotherapy. Dysphagia 2012;27(4):575.
Ten 2010 {published data only}
    1. Ten H, RK, Feng FY, Vineberg K, Eisbruch A. NTCP modeling of dysphagia after chemo-IMRT for oropharyngeal cancer. International Journal of Radiation Oncology Biology Physics 2010;78(3):S25.
Teng 2019 {published data only}
    1. Teng F, Fan W, Luo Y, Ju Z, Gong H, Ge R, et al. Reducing xerostomia by comprehensive protection of salivary glands in intensity-modulated radiation therapy with helical tomotherapy technique for head-and-neck cancer patients: a prospective observational study. BioMed Research International 2019;2019:2401743.
Tenhunen 2008 {published data only}
    1. Tenhunen M, Collan J, Kouri M, Kangasmaki A, Heikkonen J, Kairemo K, et al. Scintigraphy in prediction of the salivary gland function after gland-sparing intensity modulated radiation therapy for head and neck cancer. Radiotherapy and Oncology 2008;87(2):260-7.
Thariat 2019 {published data only}
    1. Thariat J, Salleron J, Maschi C, Fevrier E, Lassalle S, Gastaud L, et al. Oncologic and visual outcomes after postoperative proton therapy of localized conjunctival melanomas. Radiation Oncology (London, England) 2019;14(1):239.
Thukral 2023 {published data only}
    1. Thukral R, Aggarwal AK, Arora AS, Dora T, Sancheti S. Artificial intelligence-based prediction of oral mucositis in patients with head-and-neck cancer: A prospective observational study utilizing a thermographic approach. Cancer Research, Statistics, and Treatment 2023;6(2):181-90. [DOI: 10.4103/crst.crst_332_22] - DOI
Tol 2017 {published data only}
    1. Tol JP, Delaney AR, Dahele M, Kuijper IT, Slotman BJ, Verbakel W. Treatment selection by comparison of patient specific NTCP predictions. Radiotherapy and Oncology 2017;123:S830-S831.
Topkan 2023 {published data only}
    1. Topkan E, Somay E, Yilmaz B, Pehlivan B, Selek U. Valero's host index is useful in predicting radiation-induced trismus and osteoradionecrosis of the jaw risks in locally advanced nasopharyngeal carcinoma patients. BMC Cancer 2023;23(1):651. [DOI: 10.1186/s12885-023-11155-z] - DOI
Tsai 2010 {published data only}
    1. Tsai J, Lindberg ME, Garden AS, Sturgis EM, Hofstede TM, Tucker SL, et al. Osteoradionecrosis and radiation dose to the mandible in oropharyngeal cancer. International Journal of Radiation Oncology Biology Physics 2010;78(3):S153.
Tsai 2014 {published data only}
    1. Tsai M, Chan K, Chen H, Lai Y, Tsai S, Chen H, et al. A dose-effect relationship and estimated parameters for the Lyman-Kutcher-burman (LKB) model of normal tissue complication probability (NTCP) for radiation-induced hypothyroidism. International Journal of Radiation Oncology Biology Physics 2014;90(1):S548-S549.
Tuomikoski 2011 {published data only}
    1. Tuomikoski L, Collan J, Kapanen M, Nyman H, Jani K, Kajanti M, et al. Significant correlation between salivary flow calculated using pre-treatment scintigraphy and measured salivary flow after radiotherapy. Radiotherapy and Oncology 2011;98:S33-S34.
Turesson 1991 {published data only}
    1. Turesson I. Characteristics of dose-response relationships for late radiation effects: An analysis of skin telangiectasia and of head and neck morbidity. Radiotherapy and Oncology 1991;20(3):149-58.
Turnbull 2010 {published data only}
    1. Turnbull HE, Mathai M, Lau D, Farwell G, Luu Q, Purdy JA, et al. Prospective study to determine ideal dose constraints for the oral cavity in patients undergoing intensity modulated radiotherapy for head and neck cancer. International Journal of Radiation Oncology Biology Physics 2010;78(3):S467.
Urie 1992 {published data only}
    1. Urie MM, Fullerton B, Tatsuzaki H, Birnbaum S, Suit HD, Convery K, et al. A dose response analysis of injury to cranial nerves and/or nuclei following proton beam radiation therapy. International Journal of Radiation Oncology, Biology, Physics 1992;23(1):27-39.
Usychkin 2011 {published data only}
    1. Usychkin S, Glaria E, LA, Solana G, Alonso G, Munoz P, et al. Dosimetric analysis and normal tissue complication probability of brachial plexus in head and neck cancer patients treated with simultaneous integrated boost IMRT. Radiotherapy and Oncology 2011;98:S29.
Vai 2022 {published data only}
    1. Vai A, Molinelli S, Rossi E, Iacovelli NA, Magro G, Cavallo A, et al. Proton radiation therapy for nasopharyngeal cancer patients: dosimetric and NTCP evaluation supporting clinical decision. Cancers 2022;14(5):1109. [DOI: 10.3390/cancers14051109] - DOI
Vainshtein 2014 {published data only}
    1. Vainshtein JM, Griffith KA, Feng FY, Vineberg KA, Chepeha DB, Eisbruch A. Patient-reported voice and speech outcomes after whole-neck intensity modulated radiation therapy and chemotherapy for oropharyngeal cancer: prospective longitudinal study. International Journal of Radiation Oncology, Biology, Physics 2014;89(5):973-80.
Valstar 2021 {published data only}
    1. Valstar MH, De Bakker BS, Steenbakkers R, De Jong KH, Smit LA, Klein N, et al. The tubarial salivary glands: A potential new organ at risk for radiotherapy. Radiotherapy and Oncology 2021;154:292-8.
Van den Bosch 2019 {published data only}
    1. Van den Bosch L, Van der Schaaf A, Hoebers FJ, Van der Laan HP, Schuit E, Bakker E, et al. Development and validation of prediction models for salivary dysfunction in HN cancer patients. Radiotherapy and Oncology 2019;133:***-***.
Van den Bosch 2021a {published data only}
    1. Van den Bosch L, Van der Schaaf A, Van der Laan HP, Van den Hoek JG, Meijer TW, Oldehinkel E, et al. External validation of photon-derived NTCP models for acute toxicity in head and neck proton therapy. Radiotherapy and Oncology 2021;161:S606-S607. [DOI: 10.1016/s0167-8140(21)07054-7] - DOI
Van den Broek 2006 {published data only}
    1. Van den Broek GB, Balm AJ, Van den Brekel MW, Hauptmann M, Schornagel JH, Rasch CR. Relationship between clinical factors and the incidence of toxicity after intra-arterial chemoradiation for head and neck cancer. Radiotherapy and Oncology 2006;81(2):143-50.
Van der Geer 2019 {published data only}
    1. Van der Geer SJ, Van Rijn PV, Kamstra JI, Langendijk JA, Van der Laan B, Roodenburg JL, et al. Prevalence and prediction of trismus in patients with head and neck cancer: A cross-sectional study. Head & Neck 2019;41(1):64-71.
Van der Laan 2012 {published data only}
    1. Van der Laan HP, Christianen ME, Bijl HP, Schilstra C, Langendijk JA. The potential benefit of swallowing sparing intensity modulated radiotherapy to reduce swallowing dysfunction: an in silico planning comparative study. Radiotherapy and Oncology 2012;103(1):76-81.
Van der Laan 2015 {published data only}
    1. Van der Laan B, Van der Laan HP, Bijl HP, Steenbakkers R, Van der Schaaf A, Chouvalova O, et al. Acute symptoms during the course of head and neck radiotherapy or chemoradiation are strong predictors of late dysphagia. Radiotherapy and Oncology 2015;115(1):56-62.
Van der Schaaf 2012 {published data only}
    1. Van der Schaaf A, Xu CJ, Van't Veld AA, Langendijk JA. Robustness of data-driven variable selection in multivariable modelling of complications after radiotherapy. Radiotherapy and Oncology 2012;103:S160.
Van Dijk 2013 {published data only}
    1. Van Dijk IW, Cardous-Ubbink MC, Van der Pal HJ, Heinen RC, Van Leeuwen FE, Oldenburger F, et al. Dose-effect relationships for adverse events after cranial radiation therapy in long-term childhood cancer survivors. International Journal of Radiation Oncology, Biology, Physics 2013;85(3):768-75.
Van Dijk 2016 {published data only}
    1. Van Dijk IW, Van der Pal HJ, Van Os RM, Roos YB, Sieswerda E, Van Dalen EC, et al. Risk of symptomatic stroke after radiation therapy for childhood cancer: a long-term follow-up cohort analysis. International Journal of Radiation Oncology, Biology, Physics 2016;96(3):597-605.
Van Dijk 2017a {published data only}
    1. Van Dijk LV, Brouwer CL, Van der Schaaf A, Burgerhof JG, Beukinga RJ, Langendijk JA, et al. CT image biomarkers to improve patient-specific prediction of radiation-induced xerostomia and sticky saliva. Radiotherapy and Oncology 2017;122(2):185-91.
Van Dijk 2017b {published data only}
    1. Van Dijk LV, Noordzij W, Brouwer CL, Burgerhof JG, Langendijk JA, Sijtsema NM, et al. 18F-FDG PET image biomarkers improve prediction of late radiation-induced xerostomia. Radiotherapy and Oncology 2017;123:S35-S36.
Van Dijk 2017c {published data only}
    1. Van Dijk LV, Brouwer CL, Van der Laan HP, Burgerhof JG, Langendijk JA, Steenbakkers R, et al. Geometric image biomarker changes of the parotid gland are associated with late xerostomia. International Journal of Radiation Oncology, Biology, Physics 2017;99(5):1101-10.
Van Dijk 2018a {published data only}
    1. Van Dijk LV, Thor M, Steenbakkers R, Apte A, Zhai TT, Borra R, et al. Parotid gland fat-related magnetic resonance image biomarkers improve prediction of late radiation-induced xerostomia. Radiotherapy and Oncology 2018;128(3):459-66.
Van Dijk 2018b {published data only}
    1. Van Dijk LV, Noordzij W, Brouwer CL, Boellaard R, Burgerhof JG, Langendijk JA, et al. 18F-FDG PET image biomarkers improve prediction of late radiation-induced xerostomia. Radiotherapy and Oncology 2018;126(1):89-95.
Van Dijk 2019 {published data only}
    1. Van Dijk LV, Langendijk JA, Zhai TT, Vedelaar TA, Noordzij W, Steenbakkers R, et al. Delta-radiomics features during radiotherapy improve the prediction of late xerostomia. Scientific Reports 2019;9(1):12483.
Vangelov 2017 {published data only}
    1. Vangelov B, Smee RI. Clinical predictors for reactive tube feeding in patients with advanced oropharynx cancer receiving radiotherapy +/- chemotherapy. European Archives of Oto-Rhino-Laryngology 2017;274(10):3741-9.
Van Rijn‐Dekker 2021 {published data only}
    1. Van Rijn-Dekker MI, Van Luijk P, Van den Bosch L, Van den Hoek JG, Oldehinkel E, Meijer TW, et al. Importance of dose to the parotid gland stem cell rich region in preventing xerostomia in RT for HNC. Radiotherapy and Oncology 2021;161:S401-S402. [DOI: 10.1016/s0167-8140(21)06943-7] - DOI
Van Rossum 2020 {published data only}
    1. Van Rossum PS, Deng W, Routman DM, Liu AY, Xu C, Shiraishi Y, et al. Prediction of severe lymphopenia during chemoradiation therapy for esophageal cancer: development and validation of a pretreatment nomogram. Practical Radiation Oncology 2020;10(1):e16-e26.
Vargo 2012 {published data only}
    1. Vargo J, Heron DE, Ferris RL, Rwigema JM, Wegner RE, Kalash R, et al. The impact of treatment duration and volume on toxicity following SBRT for locally recurrent, previously irradiated headand-neck cancer. International Journal of Radiation Oncology Biology Physics 2012;84(3):S510.
Vedelaar 2018 {published data only}
    1. Vedelaar TA, Van Dijk LV, Zhai T, Brouwer CL, Langendijk JA, Steenbakkers RJHM, et al. Geometric image biomarker changes at the third treatment week predict late xerostomia. Radiotherapy and Oncology 2018;127:S536.
Venkatesh 2014 {published data only}
    1. Venkatesh GH, Manjunath VB, Mumbrekar KD, Negi H, Fernandes DJ, Sharan K, et al. Polymorphisms in radio-responsive genes and its association with acute toxicity among head and neck cancer patients. PLoS ONE 2014;9(3):e89079.
Verheijen 2016 {published data only}
    1. Verheijen S, Hamming-Vrieze O, Jonker M, Lamers E, Kraaijenga SA, Van der Molen L, et al. Dose to the masseter muscle and risk of trismus after chemoradiation for advanced head & neck cancer. Radiotherapy and Oncology 2016;119:S297.
Vlacich 2012 {published data only}
    1. Vlacich GR, Spratt DE, Diaz R, Phillips JG, Crass J, Li C, et al. Dose to the inferior constrictor predicts persistent dysphagia with definitive chemoIMRT in locally advanced head-and-neck cancer (LAHNC). International Journal of Radiation Oncology Biology Physics 2012;84(3):S512-S513.
Vlacich 2014 {published data only}
    1. Vlacich G, Spratt DE, Diaz R, Phillips JG, Crass J, Li CI, et al. Dose to the inferior pharyngeal constrictor predicts prolonged gastrostomy tube dependence with concurrent intensity-modulated radiation therapy and chemotherapy for locally-advanced head and neck cancer. Radiotherapy and Oncology 2014;110(3):435-40.
Walker 2011 {published data only}
    1. Walker MP, Wichman B, Cheng AL, Coster J, Williams KB. Impact of radiotherapy dose on dentition breakdown in head and neck cancer patients. Practical Radiation Oncology 2011;1(3):142-8.
Wang 2023a {published data only}
    1. Wang M, Zhu H, Xi Y, Chen H, Shen Z, Jiang F, et al. Delta radiomics based on fat suppression contrast enhanced T1WI for predicting xerostomia grade of nasopharyngeal carcinoma patients after radiotherapy. Chinese Journal of Medical Imaging Technology 2023;39(5):670-5. [DOI: 10.13929/j.issn.1003-3289.2023.05.006] - DOI
Wang 2023b {published data only}
    1. Wang Y, Zhang L, Zhang T, Jin S, Huang Z, Zhao D, et al. Predictive effect of pretreatment nutritional risk and GLIM-defined malnutrition on the nutrition impact symptom clusters in patients with head and neck cancer undergoing radiotherapy. Head & Neck 2023;45(2):380-90. [DOI: 10.1002/hed.27250] - DOI
Ward 2017 {published data only}
    1. Ward MC, Lee N, Caudell JJ, Chagin K, Awan MJ, Koyfman S, et al. A nomogram to predict severe late toxicity after definitive reirradiation for squamous carcinoma of the head and neck. International Journal of Radiation Oncology Biology Physics 2017;99(2):S235-S236.
Werbrouck 2011 {published data only}
    1. Werbrouck J, De Ruyck K, Duprez F, De Neve W, Thierens H. Optimisation of a multi-component prediction model for severe acute dysphagia for imrt treated head and neck cancer patients. Radiotherapy and Oncology 2011;98:S32.
Wermker 2012 {published data only}
    1. Wermker K, Jung S, Huppmeier L, Joos U, Kleinheinz J. Prediction model for early percutaneous endoscopic gastrostomy (PEG) in head and neck cancer treatment. Oral Oncology 2012;48(4):355-60.
White 2013 {published data only}
    1. White P, Chan KC, Cheng KW, Chan KY, Chau MC. Volumetric intensity-modulated arc therapy vs conventional intensity-modulated radiation therapy in nasopharyngeal carcinoma: a dosimetric study. Journal of Radiation Research 2013;54(3):532-45.
Wilkie 2019 {published data only}
    1. Wilkie JR, Mierzwa ML, Casper K, Schipper M, Mayo C, Eisbruch A, et al. Predicting late radiation-induced xerostomia with parotid PET biomarkers and dose metrics. International Journal of Radiation Oncology Biology Physics 2019;105(1):S60-S61.
Wojcieszynski 2019 {published data only}
    1. Wojcieszynski AP, La C, Baumann BC, Lukens JN, Ghiam AF, Urbanowicz RJ, et al. Machine learning to predict toxicity in head and neck cancer patients treated with definitive chemoradiation. International Journal of Radiation Oncology Biology Physics 2019;105(1):E139-E140.
Wopken 2012 {published data only}
    1. Wopken K, Bijl HP, Doornaert P, Christianen M, Oosting SF, Rietveld DH, et al. A predictive model for tube feeding dependence after curative (chemo-) radiation in head and neck cancer patients. Radiotherapy and Oncology 2012;103:S203.
Wu 2010 {published data only}
    1. Wu YH, Wang HM, Chen HH, Lin CY, Chen EY, Fan KH, et al. Hypothyroidism after radiotherapy for nasopharyngeal cancer patients. International Journal of Radiation Oncology, Biology, Physics 2010;76(4):1133-9.
Wu 2017 {published data only}
    1. Wu H, Chen X, Robbins JR, Schultz CJ, Li A. Early prediction of xerostomia during radiation therapy for head and neck cancer based on radiomic analysis of daily CT. International Journal of Radiation Oncology Biology Physics 2017;99(2):E382.
Wu 2018 {published data only}
    1. Wu H, Chen X, Yang X, Tao Y, Xia Y, Deng X, et al. Early prediction of acute xerostomia during radiation therapy for head and neck cancer based on texture analysis of daily CT. International Journal of Radiation Oncology, Biology, Physics 2018;102(4):1308-18.
Xavier 2015 {published data only}
    1. Xavier CP, Ferreira BC, Khouri L, Lopes M, Stathakis S, Papanikolaou N, et al. Dose response relations for xerostomia from head and neck cancer radiation therapy. International Journal of Radiation Oncology Biology Physics 2015;93(3):E570.
Xiao 2016 {published data only}
    1. Xiao C, Beitler JJ, Higgins KA, Saba NF, Glazer T, Kowalski J, et al. Risk factors for fatigue changes during acute phase of IMRT for patients with head and neck cancer. Quality of Life Research 2016;25(1):156.
Xie 2017 {published data only}
    1. Xie P, Patel S, Setton J, Waldenberg T, McBride S, Tsai CJ, et al. Gastrostomy tube dependence in patients with oropharyngeal cancer treated by definitive imrt: A modern benchmark. International Journal of Radiation Oncology Biology Physics 2017;99(2):S234-S235.
Xu 2010 {published data only}
    1. Xu C, Van der Schaaf A, Schllstra C, Beetz I, Bljl HP, Hoegen-Chouvalova O, et al. Multivariate NTCP modeling of xerostomia with maximum likelihood variable selection: Methodology assessment. Radiotherapy and Oncology 2010;96:S519-S520.
Xu 2012a {published data only}
    1. Xu CJ, Van der Schaaf A, Van't Veld AA, Langendijk JA, Schilstra C. Statistical validation of normal tissue complication probability models. International Journal of Radiation Oncology Biology Physics 2012;84(1):e123-e129.
Xu 2012b {published data only}
    1. Xu CJ, Van der Schaaf A, Schilstra C, Langendijk JA, Van't Veld AA. Impact of statistical learning methods on the predictive power of multivariate normal tissue complication probability models. International Journal of Radiation Oncology Biology Physics 2012;82(4):e677-e684.
Xu 2018 {published data only}
    1. Xu Y, Shao Z, Tang T, Liu G, Yao Y, Wang J, et al. A dosimetric study on radiation-induced hypothyroidism following intensity-modulated radiotherapy in patients with nasopharyngeal carcinoma. Oncology Letters 2018;16(5):6126-32.
Yahya 2016 {published data only}
    1. Yahya S, Benghiat H, Nightingale P, Tiffany M, Sanghera P, Hartley A. Does dose to an oral mucosa organ at risk predict the duration of grade 3 mucositis after intensity-modulated radiotherapy for oropharyngeal cancer? Clinical Oncology (Royal College of Radiologists) 2016;28(12):e216-e219.
Yamazaki 2013 {published data only}
    1. Yamazaki H, Ogita M, Kodani N, Nakamura S, Inoue H, Himei K, et al. Frequency, outcome and prognostic factors of carotid blowout syndrome after hypofractionated re-irradiation of head and neck cancer using CyberKnife: a multi-institutional study. Radiotherapy and Oncology 2013;107(3):305-9.
Yamazaki 2015 {published data only}
    1. Yamazaki H, Ogita M, Himei K, Nakamura S, Kotsuma T, Yoshida K, et al. Carotid blowout syndrome in pharyngeal cancer patients treated by hypofractionated stereotactic re-irradiation using CyberKnife: A multi-institutional matched-cohort analysis. Radiotherapy and Oncology 2015;115(1):67-71.
Yang 2016 {published data only}
    1. Yang W, McNutt TR, Dudley SA, Kumar R, Starmer HM, Gourin CG, et al. Predictive factors for prophylactic percutaneous endoscopic gastrostomy (PEG) tube placement and use in head and neck patients following intensity-modulated radiation therapy (IMRT) treatment: concordance, discrepancies, and the role of gabapentin. Dysphagia 2016;31(2):206-13.
Yang 2017 {published data only}
    1. Yang Q, Zou X, You R, Liu YP, Han Y, Zhang YN, et al. Proposal for a new risk classification system for nasopharyngeal carcinoma patients with post-radiation nasopharyngeal necrosis. Oral Oncology 2017;67:83-8.
Yao 2015 {published data only}
    1. Yao JJ, Zhou GQ, Lin L, Zhang WJ, Peng YL, Chen L, et al. Dose-volume factors associated with ear disorders following intensity modulated radiotherapy in nasopharyngeal carcinoma. Scientific Reports 2015;5:13525.
Yao 2018 {published data only}
    1. Yao CY, Zhou GR, Wang LJ, Xu JH, Ye JJ, Zhang LF, et al. A retrospective dosimetry study of intensity-modulated radiotherapy for nasopharyngeal carcinoma: radiation-induced brainstem injury and dose-volume analysis. Radiation Oncology (London, England) 2018;13(1):194.
Yasuda 2021 {published data only}
    1. Yasuda K, Minatogawa H, Dekura Y, Takao S, Tamura M, Tsushima N, et al. Analysis of acute-phase toxicities of intensity-modulated proton therapy using a model-based approach in pharyngeal cancer patients. Journal of Radiation Research 2021;62(2):329-37.
Yu 2015 {published data only}
    1. Yu Y, Chen J, El-Sayed I, Krishnamurthy D, Shugard E, Garsa AA, et al. Dosimetric predictors of nasolacrimal duct stenosis following radiation therapy for sinonasal malignancies. International Journal of Radiation Oncology Biology Physics 2015;93(3):E346.
Yuan 2014a {published data only}
    1. Yuan L, Wu QJ, Yin FF, Jiang Y, Yoo D, Ge Y. Incorporating single-side sparing in models for predicting parotid dose sparing in head and neck IMRT. Medical Physics 2014;41(2):021728.
Yuan 2014b {published data only}
    1. Yuan C, Wu VW, Yip SP, Kwong DL, Ying M. Predictors of the extent of carotid atherosclerosis in patients treated with radiotherapy for nasopharyngeal carcinoma. PLoS ONE 2014;9(12):e116284.
Zauls 2013 {published data only}
    1. Zauls AJ, Watkins JM, Lucas J, Shirai K, Sharma AK. Requirement of percutaneous endoscopic gastrostomy tube placement in head-and-neck cancer treated with definitive concurrent chemoradiation therapy: An analysis of clinical and anatomic factors. Practical Radiation Oncology 2013;3(2):e61-e69.
Zehetmayer 2000 {published data only}
    1. Zehetmayer M, Kitz K, Menapace R, Ertl A, Heinzl H, Ruhswurm I, et al. Local tumor control and morbidity after one to three fractions of stereotactic external beam irradiation for uveal melanoma. Radiotherapy and Oncology 2000;55(2):135-44.
Zeng 2014 {published data only}
    1. Zeng L, Tian YM, Sun XM, Chen CY, Han F, Xiao WW, et al. Late toxicities after intensity-modulated radiotherapy for nasopharyngeal carcinoma: Patient and treatment-related risk factors. British Journal of Cancer 2014;110(1):49-54.
Zhai 2017 {published data only}
    1. Zhai RP, Kong FF, Du CR, Hu CS, Ying HM. Radiation-induced hypothyroidism after IMRT for nasopharyngeal carcinoma: Clinical and dosimetric predictors in a prospective cohort study. Oral Oncology 2017;68:44-9.
Zhang 2009 {published data only}
    1. Zhang HH, D'Souza WD, Shi L, Meyer RR. Modeling plan-related clinical complications using machine learning tools in a multiplan IMRT framework. International Journal of Radiation Oncology, Biology, Physics 2009;74(5):1617-26.
Zhang 2015 {published data only}
    1. Zhang LL, Wang XJ, Zhou GQ, Tang LL, Lin AH, Ma J, et al. Dose-volume relationships for moderate or severe neck muscle atrophy after intensity-modulated radiotherapy in patients with nasopharyngeal carcinoma. Scientific Reports 2015;5:18415.
Zhang 2017 {published data only}
    1. Zhang LL, Zhou GQ, Qi ZY, He XJ, Li JX, Tang LL, et al. Patient- and treatment-related risk factors associated with neck muscle spasm in nasopharyngeal carcinoma patients after intensity-modulated radiotherapy. BMC Cancer 2017;17(1):788.
Zhang 2020 {published data only}
    1. Zhang B, Lian Z, Zhong L, Zhang X, Dong Y, Chen Q, et al. Machine-learning based MRI radiomics models for early detection of radiation-induced brain injury in nasopharyngeal carcinoma. BMC Cancer 2020;20(1):502.
Zhou 2013 {published data only}
    1. Zhou Q, Han F, Tai A, Prior P, Huang S, Li X, et al. Radiation-induced trismus after re-irradiation with IMRT for locally-recurrent nasopharyngeal carcinoma. International Journal of Radiation Oncology Biology Physics 2013;87(2):S448-S449.
Zhou 2014a {published data only}
    1. Zhou X, Ou X, Xu T, Wang X, Shen C, Ding J, et al. Effect of dosimetric factors on occurrence and volume of temporal lobe necrosis following intensity modulated radiation therapy for nasopharyngeal carcinoma: a case-control study. International Journal of Radiation Oncology, Biology, Physics 2014;90(2):261-9.
Zhou 2014b {published data only}
    1. Zhou X, Hu C, Shen C, Wang X, Xu T, Ou X. Effect of dosimetric factors on occurrence and volume of temporal lobe necrosis following intensity modulated radiation therapy for nasopharyngeal carcinoma: A case-control study. International Journal of Radiation Oncology Biology Physics 2014;90(1):S181.
Zhou 2017 {published data only}
    1. Zhou N, Guo T, Zheng H, Pan X, Chu C, Dou X, et al. Apparent diffusion coefficient histogram analysis can evaluate radiation-induced parotid damage and predict late xerostomia degree in nasopharyngeal carcinoma. Oncotarget 2017;8(41):70226-38.
Zhou 2022 {published data only}
    1. Zhou L, Zheng W, Huang S, Yang X. Integrated radiomics, dose-volume histogram criteria and clinical features for early prediction of saliva amount reduction after radiotherapy in nasopharyngeal cancer patients. Discover Oncology 2022;13(1):145. [DOI: 10.1007/s12672-022-00606-x] - DOI
Zhu 2017 {published data only}
    1. Zhu XX, Yang XJ, Chao YL, Zheng HM, Sheng HF, Liu HY, et al. The potential effect of oral microbiota in the prediction of mucositis during radiotherapy for nasopharyngeal carcinoma. EBioMedicine 2017;18:23-31.
Zou 2014 {published data only}
    1. Zou Y, Song T, Yu W, Zhao R, Wang Y, Xie R, et al. XRCC3 polymorphisms are associated with the risk of developing radiation-induced late xerostomia in nasopharyngeal carcinoma patients treated with intensity modulation radiated therapy. Japanese Journal of Clinical Oncology 2014;44(3):241-8.
Zuur 2009 {published data only}
    1. Zuur CL, Simis YJ, Lamers EA, Hart AA, Dreschler WA, Balm AJ, et al. Risk factors for hearing loss in patients treated with intensity-modulated radiotherapy for head-and-neck tumors. International Journal of Radiation Oncology, Biology, Physics 2009;74(2):490-6.

Additional references

Bansal 2004
    1. Bansal M, Mohanti BK, Shah N, Chaudhry R, Bahadur S, Shukla NK. Radiation related morbidities and their impact on quality of life in head and neck cancer patients receiving radical radiotherapy. Quality of Life Research 2004;13(2):481-8.
Brodin 2018
    1. Brodin NP, Kabarriti R, Garg MK, Guha C, Tome WA. Systematic review of normal tissue complication models relevant to standard fractionation radiation therapy of the head and neck region published after the QUANTEC reports. International Journal of Radiation Oncology, Biology, Physics 2018;100(2):391-407.
Collins 2015a
    1. Collins GS, Reitsma JB, Altman DG, Moons KG. Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD). Annals of Internal Medicine 2015;162(10):735-6.
Collins 2015b
    1. Collins GS, Reitsma JB, Altman DG, Moons KG. Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis (TRIPOD): the TRIPOD statement. Annals of Internal Medicine 2015;162(1):55-63.
Damen 2016
    1. Damen JA, Hooft L, Schuit E, Debray TP, Collins GS, Tzoulaki I, et al. Prediction models for cardiovascular disease risk in the general population: systematic review. BMJ (Clinical Research Ed.) 2016;353:i2416.
De Felice 2018
    1. De Felice F, Polimeni A, Valentini V, Brugnoletti O, Cassoni A, Greco A, et al. Radiotherapy controversies and prospective in head and neck cancer: a literature-based critical review. Neoplasia (New York, N.Y.) 2018;20(3):227-32.
Debray 2017
    1. Debray TP, Damen JA, Snell KI, Ensor J, Hooft L, Reitsma JB, et al. A guide to systematic review and meta-analysis of prediction model performance. BMJ (Clinical Research Ed.) 2017;356:i6460.
Debray 2019
    1. Debray TP, Damen JA, Riley RD, Snell K, Reitsma JB, Hooft L, et al. A framework for meta-analysis of prediction model studies with binary and time-to-event outcomes. Statistical Methods in Medical Research 2019;28(9):2768-86.
Geersing 2012
    1. Geersing GJ, Bouwmeester W, Zuithoff P, Spijker R, Leeflang M, Moons KG. Search filters for finding prognostic and diagnostic prediction studies in Medline to enhance systematic reviews. PloS One 2012;7(2):e32844.
Gupta 2016
    1. Gupta B, Johnson NW, Kumar N. Global epidemiology of head and neck cancers: a continuing challenge. Oncology 2016;91(1):13-23.
Kierkels 2014
    1. Kierkels RG, Korevaar EW, Steenbakkers RJ, Janssen T, Van't Veld AA, Langendijk JA, et al. Direct use of multivariable normal tissue complication probability models in treatment plan optimisation for individualised head and neck cancer radiotherapy produces clinically acceptable treatment plans. Radiotherapy and Oncology 2014;112(3):430-6.
Kleinrouweler 2016
    1. Kleinrouweler CE, Cheong-See FM, Collins GS, Kwee A, Thangaratinam S, Khan KS, et al. Prognostic models in obstetrics: available, but far from applicable. American Journal of Obstetrics and Gynecology 2016;214(1):79-90 e36.
Langendijk 2008
    1. Langendijk JA, Doornaert P, Verdonck-de Leeuw IM, Leemans CR, Aaronson NK, Slotman BJ. Impact of late treatment-related toxicity on quality of life among patients with head and neck cancer treated with radiotherapy. Journal of Clinical Oncology 2008;26(22):3770-6.
Langendijk 2013
    1. Langendijk JA, Lambin P, De Ruysscher D, Widder J, Bos M, Verheij M. Selection of patients for radiotherapy with protons aiming at reduction of side effects: the model-based approach. Radiotherapy and Oncology 2013;107(3):267-73.
Langendijk 2021
    1. Langendijk JA, Hoebers FJ, De Jong MA, Doornaert P, Terhaard CH, Steenbakkers R, et al. National protocol for model-based selection for proton therapy in head and neck cancer. International Journal of Particle Therapy 2021;8(1):354-65.
Moher 2009
    1. Moher D, Liberati A, Tetzlaff J, Altman DG, Group P. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLoS Medicine 2009;6(7):e1000097.
Moons 2009
    1. Moons KG, Altman DG, Vergouwe Y, Royston P. Prognosis and prognostic research: application and impact of prognostic models in clinical practice. BMJ (Clinical Research Ed.) 2009;338:b606.
Moons 2014
    1. Moons KG, De Groot JA, Bouwmeester W, Vergouwe Y, Mallett S, Altman DG, et al. Critical appraisal and data extraction for systematic reviews of prediction modelling studies: the CHARMS checklist. PLoS Medicine 2014;11(10):e1001744.
Moons 2015
    1. Moons KG, Altman DG, Reitsma JB, Ioannidis JP, Macaskill P, Steyerberg EW, et al. Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis (TRIPOD): explanation and elaboration. Annals of Internal Medicine 2015;162(1):W1-73.
Moons 2019
    1. Moons KG, Wolff RF, Riley RD, Whiting PF, Westwood M, Collins GS, et al. PROBAST: a tool to assess risk of bias and applicability of prediction model studies: explanation and elaboration. Annals of Internal Medicine 2019;170(1):W1-W33.
Partlett 2017
    1. Partlett C, Riley RD. Random effects meta-analysis: coverage performance of 95% confidence and prediction intervals following REML estimation. Statistics in Medicine 2017;36(2):301-17.
Riley 2022
    1. Riley RD, Collins GS, Ensor J, Archer L, Booth S, Mozumder SI, et al. Minimum sample size calculations for external validation of a clinical prediction model with a time-to-event outcome. Statistics in Medicine 2022;41(7):1280-95.
Rosenthal 2008a
    1. Rosenthal DI, Chambers MS, Fuller CD, Rebueno NC, Garcia J, Kies MS, et al. Beam path toxicities to non-target structures during intensity-modulated radiation therapy for head and neck cancer. International Journal of Radiation Oncology, Biology, Physics 2008;72(3):747-55.
Sharabiani 2020
    1. Sharabiani M, Clementel E, Andratschke N, Hurkmans C. Generalizability assessment of head and neck cancer NTCP models based on the TRIPOD criteria. Radiotherapy and Oncology 2020;146:143-50.
Snell 2018
    1. Snell KI, Ensor J, Debray TP, Moons KG, Riley RD. Meta-analysis of prediction model performance across multiple studies: which scale helps ensure between-study normality for the C-statistic and calibration measures? Statistical Methods in Medical Research 2018;27(11):3505-22.
Stieb 2021
    1. Stieb S, Lee A, Van Dijk LV, Frank S, Fuller CD, Blanchard P. NTCP modeling of late effects for head and neck cancer: a systematic review. International Journal of Particle Therapy 2021;8(1):95-107.
Takada 2021
    1. Takada T, Damen J, Tambas M, Spijker R, Steenbakkers R, Sharabiani M, et al. Prognostic models for radiation-induced side-effects after radiotherapy in patients with head and neck cancer: a systematic review. Cochrane Database of Systematic Reviews 2021, Issue 5. Art. No: CD014745. [DOI: 10.1002/14651858.CD014745] - DOI
Van Beek 2021
    1. Van Beek PE, Andriessen P, Onland W, Schuit E. Prognostic models predicting mortality in preterm infants: systematic review and meta-analysis. Pediatrics 2021;147(5):e2020020461.
Van der Laan 2012
    1. Van der Laan HP, Christianen ME, Bijl HP, Schilstra C, Langendijk JA. The potential benefit of swallowing sparing intensity modulated radiotherapy to reduce swallowing dysfunction: an in silico planning comparative study. Radiotherapy and Oncology 2012;103(1):76-81.
Van der Veen 2017
    1. Van der Veen J, Nuyts S. Can intensity-modulated-radiotherapy reduce toxicity in head and neck squamous cell carcinoma? Cancers 2017;9(10):135.
Vogelius 2011
    1. Vogelius IR, Bentzen SM, Maraldo MV, Petersen PM, Specht L. Risk factors for radiation-induced hypothyroidism: a literature-based meta-analysis. Cancer 2011;117(23):5250-60.
Widder 2016
    1. Widder J, Van der Schaaf A, Lambin P, Marijnen CA, Pignol JP, Rasch CR, et al. The quest for evidence for proton therapy: model-based approach and precision medicine. International Journal of Radiation Oncology, Biology, Physics 2016;95(1):30-6.
Wolff 2019
    1. Wolff RF, Moons KG, Riley RD, Whiting PF, Westwood M, Collins GS, et al. PROBAST: a tool to assess the risk of bias and applicability of prediction model studies. Annals of Internal Medicine 2019;170(1):51-8.
Wynants 2020
    1. Wynants L, Van Calster B, Collins GS, Riley RD, Heinze G, Schuit E, et al. Prediction models for diagnosis and prognosis of Covid-19: systematic review and critical appraisal. BMJ (Clinical Research Ed.) 2020;369:m1328.

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