Association of automated quantified emphysema and interstitial lung abnormality with survival in non-small cell lung cancer.

ABSTRACT:

Objectives

To investigate the prognostic value of artificial intelligence (AI) quantified emphysema and interstitial lung abnormality (ILA) in patients with non-small cell lung cancer (NSCLC).

Materials and methods

This retrospective study used AI to quantify emphysema and ILA in patients diagnosed with NSCLC between January 2015 and December 2017. Associations between AI-quantified emphysema and ILA severity and overall survival (OS) were evaluated using Cox proportional hazards models. The ability of AI-quantified emphysema and ILA severity to predict OS was explored via concordance index (C-index) and area under the time-dependent receiver operating characteristic curve (AUC). Furthermore, exploratory OS analyses were performed on subgroups stratified by chronic obstructi

SUBMITTER: Weng G 

PROVIDER: S-EPMC12770050 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature