Computer-aided quantitative stromal analysis: a comprehensive investigation of its prognostic significance in lung squamous cell carcinoma.

ABSTRACT:

Background

The tumor-stroma ratio (TSR) has been validated as an independent prognostic factor across multiple cancer types, including lung squamous cell carcinoma (LUSC), in which a stroma-rich phenotype is generally linked to poor outcomes. However, traditional manual TSR assessment is subjective and has limited reproducibility. This study aimed to investigate the clinical utility of computer-aided (CA) quantitative stromal analysis in LUSC, elucidate the correlation between TSR and clinicopathological features, and provide a theoretical basis for precision diagnosis and treatment.

Methods

There were 189 patients with primary LUSC diagnosed between 2015 and 2020 included in a retrospective cohort. Using automated analysis techniques in conjunction with whole-slide imaging

SUBMITTER: Zhang X 

PROVIDER: S-EPMC12775707 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature