Codice QR

Comparative evaluation of machine learning models for predicting PD-L1 high expression in resectable NSCLC: a dual-center study integrating [18F]FDG PET/CT and clinicopathological features

BackgroundAccurate prediction of programmed death-ligand 1 (PD-L1) high expression (tumor proportion score [TPS] ≥50%) is important for identifying patients with resectable non-small cell lung cancer (NSCLC) who may benefit from neoadjuvant chemoimmunotherapy (nCIT). This study aimed to evaluate eig...

Descrizione completa

Salvato in:
Autori principali: Jiong Lin, Xin Li, Jiming Tang, Haijie Xu, Xirui Lin, Chaoquan He, Peishen Li, Jiayin Wu, Weixing Huang, Hansheng Wu
Natura: Artigo
Lingua:Inglês
Pubblicazione: Frontiers Media S.A. 2026-06-01
Serie:Frontiers in Immunology
Soggetti:
machine learning
neoadjuvant chemoimmunotherapy
nomogram
non-small cell lung cancer
PD-L1
PET/CT
Accesso online:https://www.frontiersin.org/articles/10.3389/fimmu.2026.1834643/full
Tags: Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi