Integration of intratumoral/peritumoral radiomics and deep learning for predicting overall survival in non-small cell lung cancer patients: a multicenter study

BackgroundPrognostic assessment of non-small cell lung cancer (NSCLC) relies on TNM staging, yet tumor heterogeneity limits its accuracy. This study aimed to develop a model for improving the prediction of overall survival (OS) in NSCLC patients receiving radiotherapy, which integrated intratumoral/...

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Autors principals:	Yongxin Liu, Yuteng Pan, Qiusheng Wang, Huayong Jiang, Na Lu, Diandian Chen, Yanjun Yu, Yanxiang Gao, Huijuan Zhang, Yinglun Sun, Jianfeng Qiu, Fuli Zhang
Format:	Artigo
Idioma:	Inglês
Publicat:	Frontiers Media S.A. 2025-11-01
Col·lecció:	Frontiers in Oncology
Matèries:	non-small cell lung cancer CT radiomics deep learning overall survival
Accés en línia:	https://www.frontiersin.org/articles/10.3389/fonc.2025.1669200/full
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