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Editorial
. 2022 Aug;56(2):560-561.
doi: 10.1002/jmri.28049. Epub 2021 Dec 28.

Editorial for "MRI-Based Back Propagation Neural Network Model as a Powerful Tool for Predicting the Response to Induction Chemotherapy in Locoregionally Advanced Nasopharyngeal Carcinoma"

Jacobus F A Jansen  1 , Gerhard S Drenthen  1
Affiliations
Editorial

Editorial for "MRI-Based Back Propagation Neural Network Model as a Powerful Tool for Predicting the Response to Induction Chemotherapy in Locoregionally Advanced Nasopharyngeal Carcinoma"

Jacobus F A Jansen et al. J Magn Reson Imaging. 2022 Aug.
No abstract available

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References

    1. Mane M, Benkhaled S, Dragan T, et al. Meta-analysis on induction chemotherapy in locally advanced nasopharyngeal carcinoma. Oncologist 2021;26(1):e130-e141.
    1. Jansen JFA, Parra C, Lu Y, Shukla-Dave A. Evaluation of head and neck tumors with functional MR imaging. Magn Reson Imaging Clin N Am 2016;24(1):123-133.
    1. Jansen JF, Lu Y, Gupta G, et al. Texture analysis on parametric maps derived from dynamic contrast-enhanced magnetic resonance imaging in head and neck cancer. World J Radiol 2016;8(1):90-97.
    1. Lambin P, Rios-Velazquez E, Leijenaar R, et al. Radiomics: Extracting more information from medical images using advanced feature analysis. Eur J Cancer 2012;48(4):441-446.
    1. Yongfeng P, Chuner J, Lei W, et al. The usefulness of pretreatment MR-based radiomics on early response of neoadjuvant chemotherapy in patients with locally advanced nasopharyngeal carcinoma. Oncol Res 2021;28(6):605-613.

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