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...

Descrizione completa

Dettagli Bibliografici

Autori principali:	Guangjie Liu, Xiaoyan Zhang, Yutong He, Di Liang, Shaonan Xie, Ning Zhang, Nan Geng, Liwen Zhang, Yajie Huang, Fang Liu, Qingyi Liu
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Frontiers Media S.A. 2025-10-01
Serie:	Frontiers in Immunology
Soggetti:	tumor immune microenvironment immunotherapy response radiomic biomarkers precision radiotherapy tumor growth kinetics
Accesso online:	https://www.frontiersin.org/articles/10.3389/fimmu.2025.1664726/full
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!