AI-based non-invasive profiling of the tumor immune microenvironment using longitudinal CT radiomics predicts immunotherapy response in lung cancer

BackgroundDespite advances in immunotherapy, durable responses in lung cancer remain limited to a subset of patients, underscoring the need for biomarkers capturing spatial immune-tumor interactions. Current methods, such as PD-L1 immunohistochemistry, suffer from sampling bias and fail to decode dy...

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Detalhes bibliográficos

Principais autores:	Guangjie Liu, Xiaoyan Zhang, Yutong He, Di Liang, Shaonan Xie, Ning Zhang, Nan Geng, Liwen Zhang, Yajie Huang, Fang Liu, Qingyi Liu
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Frontiers Media S.A. 2025-10-01
Colecção:	Frontiers in Immunology
Assuntos:	tumor immune microenvironment immunotherapy response radiomic biomarkers precision radiotherapy tumor growth kinetics
Acesso em linha:	https://www.frontiersin.org/articles/10.3389/fimmu.2025.1664726/full
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