Deep learning-based multi-omics model to predict nasopharyngeal necrosis of re-irradiation for recurrent nasopharyngeal carcinoma

Deep learning-based multi-omics model to predict nasopharyngeal necrosis of re-irradiation for recurrent nasopharyngeal carcinoma

Background and purposePatients with recurrent nasopharyngeal carcinoma (rNPC) undergoing re-irradiation have a high risk of lethal nasopharyngeal necrosis (NN), which may lead to massive nasopharyngeal hemorrhage or death. Predicting NN is crucial to improve the prognosis of these patients. We aimed...

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Bibliographic Details
Main Authors: Xingwang Gao, Yinglin Peng, Shanfu Lu, Yuhan An, Meining Chen, Jun Zhang, Runda Huang, Yiran Wang, Zhenyu Qi, Yao Lu, Chong Zhao, Xiaowu Deng, Jingjing Miao, Yimei Liu
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-07-01
Series:Frontiers in Oncology
Subjects:
recurrent nasopharyngeal carcinoma
radiation therapy
nasopharyngeal necrosis
deep learning
magnetic resonance imaging
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2025.1607218/full
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