Robust optimization in intensity-modulated proton therapy to account for anatomy changes in lung cancer patients
- PMID: 25708992
- PMCID: PMC4400219
- DOI: 10.1016/j.radonc.2015.01.017
Robust optimization in intensity-modulated proton therapy to account for anatomy changes in lung cancer patients
Abstract
Background and purpose: Robust optimization for IMPT takes setup and range uncertainties into account during plan optimization. However, anatomical changes were not prospectively included. The purpose of this study was to examine robustness and dose variation due to setup uncertainty and anatomical change in IMPT of lung cancer.
Material and methods: Plans were generated with multi-field optimization based on planning target volume (MFO-PTV) and worst-case robust optimization (MFO-RO) on simulation computed tomography scans (CT0) for nine patients. Robustness was evaluated on the CT0 by computing the standard deviation of DVH (SD-DVH). Dose variations calculated on weekly CTs were compared with SD-DVH. Equivalent uniform dose (EUD) change from the original plan on weekly dose was also calculated for both plans.
Results: SD-DVH and dose variation on weekly CTs were both significantly lower in the MFO-RO plans than in the MFO-PTV plans for targets, lungs, and the esophagus (p<0.05). When comparing EUD for ITV between weekly and planned dose distributions, three patients and 28% of repeated CTs for MFO-RO plans, and six patients and 44% of repeated CTs for MFO-PTV plans, respectively, showed an EUD change of >5%.
Conclusions: RO in IMPT reduces the dose variation due to setup uncertainty and anatomy changes during treatment compared with PTV-based planning. However, dose variation could still be substantial; repeated imaging and adaptive planning as needed are highly recommended for IMPT of lung tumors.
Keywords: Adaptive planning; IMPT; Robust optimization; Robustness evaluation.
Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.
Conflict of interest statement
Figures



Similar articles
-
Comparison of linear and nonlinear programming approaches for "worst case dose" and "minmax" robust optimization of intensity-modulated proton therapy dose distributions.J Appl Clin Med Phys. 2017 Mar;18(2):15-25. doi: 10.1002/acm2.12033. Epub 2017 Mar 13. J Appl Clin Med Phys. 2017. PMID: 28300378 Free PMC article.
-
Energy layer optimization strategies for intensity-modulated proton therapy of lung cancer patients.Med Phys. 2018 Oct;45(10):4355-4363. doi: 10.1002/mp.13139. Epub 2018 Sep 6. Med Phys. 2018. PMID: 30129041
-
A novel and individualized robust optimization method using normalized dose interval volume constraints (NDIVC) for intensity-modulated proton radiotherapy.Med Phys. 2019 Jan;46(1):382-393. doi: 10.1002/mp.13276. Epub 2018 Nov 30. Med Phys. 2019. PMID: 30387870
-
Robust optimization in lung treatment plans accounting for geometric uncertainty.J Appl Clin Med Phys. 2018 May;19(3):19-26. doi: 10.1002/acm2.12291. Epub 2018 Mar 10. J Appl Clin Med Phys. 2018. PMID: 29524301 Free PMC article. Review.
-
Robust radiotherapy planning.Phys Med Biol. 2018 Nov 12;63(22):22TR02. doi: 10.1088/1361-6560/aae659. Phys Med Biol. 2018. PMID: 30418942 Review.
Cited by
-
Proton therapy for early-stage non-small cell lung cancer (NSCLC).Transl Lung Cancer Res. 2018 Apr;7(2):199-204. doi: 10.21037/tlcr.2018.04.12. Transl Lung Cancer Res. 2018. PMID: 29876319 Free PMC article. Review.
-
Technical note: Generalizable and promptable artificial intelligence model to augment clinical delineation in radiation oncology.Med Phys. 2024 Mar;51(3):2187-2199. doi: 10.1002/mp.16965. Epub 2024 Feb 6. Med Phys. 2024. PMID: 38319676 Free PMC article.
-
Evaluating Proton Dose and Associated Range Uncertainty Using Daily Cone-Beam CT.Front Oncol. 2022 Apr 5;12:830981. doi: 10.3389/fonc.2022.830981. eCollection 2022. Front Oncol. 2022. PMID: 35449577 Free PMC article.
-
Adaptive proton therapy.Phys Med Biol. 2021 Nov 15;66(22):10.1088/1361-6560/ac344f. doi: 10.1088/1361-6560/ac344f. Phys Med Biol. 2021. PMID: 34710858 Free PMC article. Review.
-
Deep-Learning-based Fast and Accurate 3D CT Deformable Image Registration in Lung Cancer.ArXiv [Preprint]. 2023 Apr 21:arXiv:2304.11135v1. ArXiv. 2023. Update in: Med Phys. 2023 Nov;50(11):6864-6880. doi: 10.1002/mp.16548. PMID: 37131881 Free PMC article. Updated. Preprint.
References
-
- Lomax A. Intensity modulation methods for proton radiotherapy. Phys Med Biol. 1999;44:185–205. - PubMed
-
- Lomax AJ, Pedroni E, Rutz H, Goitein G. The clinical potential of intensity modulated proton therapy. Med Phys. 2004;14:147–52. - PubMed
-
- Zhang X, Li Y, Pan X, et al. Intensity-modulated proton therapy reduces the dose to normal tissue compared with intensity-modulated radiation therapy or passive scattering proton therapy and enables individualized radical radiotherapy for extensive stage IIIB non-small-cell lung cancer: a virtual clinical study. Int J Radiat Oncol Biol Phys. 2010;77:357–66. - PMC - PubMed
Publication types
MeSH terms
Grants and funding
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical
Research Materials