A novel radiomics model combining GTVp, GTVnd, and clinical data for chemoradiotherapy response prediction in patients with advanced NSCLC

BackgroundNumerous radiomic models have been developed to predict treatment outcomes in patients with NSCLC receiving chemotherapy and radiation therapy. However, computed tomography (CT) radiomic models that integrate the Gross Tumour Volume of the primary lesion (GTVp), the Gross Tumour Volume of...

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Bibliographic Details
Main Authors: Ya Li, Min Zhang, Yong Hu, Dan Zou, Bo Du, Youlong Mo, Tianchu He, Mingdan Zhao, Benlan Li, Ji Xia, Zhongjun Huang, Fangyang Lu, Bing Lu, Jie Peng
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-07-01
Series:Frontiers in Medicine
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2025.1596788/full
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