Predicting immunotherapy response in stage III-IV non-small cell lung cancer using integrated radiomics and clinical features.

ABSTRACT:

Objective

To develop a combined predictive model based on CT radiomics and clinical features and evaluate its diagnostic value for predicting the efficacy prognosis of immunotherapy in stage III-IV non-small cell lung cancer (NSCLC).

Methods

A retrospective analysis was conducted on 106 patients with stage IIIa-IVB NSCLC who underwent immunotherapy at the Second Affiliated Hospital of Soochow University between December 2018 and December 2023. Patients were divided into two groups based on whether their progression-free survival (PFS) exceeded 12 months. The cohort was randomly split into a training set (75 patients) and a validation set (31 patients) in a 7:3 ratio. Clinical and imaging data were collected, and independent predictive factors were identified through univaria

SUBMITTER: Geng N 

PROVIDER: S-EPMC12634321 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature