Impact of radiation dose distribution on nutritional supplementation needs in head and neck cancer radiotherapy: a voxel-based machine learning approach

Impact of radiation dose distribution on nutritional supplementation needs in head and neck cancer radiotherapy: a voxel-based machine learning approach

ObjectivesTo investigate the relationship between nutritional supplementation and radiation dose to the pharyngeal constrictor muscles and larynx for head and neck (HN) cancer patients undergoing radiotherapy.MethodsWe retrospectively analyzed radiotherapy (RT) dose for 231 HN cancer patients, focus...

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Bibliographic Details
Main Authors: Sudharsan Madhavan, Mauricio Gamez, Yolanda I. Garces, Scott C. Lester, Daniel J. Ma, Daniel W. Mundy, Michelle A. Neben Wittich, Jing Qian, David M. Routman, Robert L. Foote, Satomi Shiraishi
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-02-01
Series:Frontiers in Oncology
Subjects:
voxel-based analysis
head and neck cancer
outcomes modeling
feeding tube
explainable machine learning
larynx
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2024.1346797/full

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https://www.frontiersin.org/articles/10.3389/fonc.2024.1346797/full

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