Clinicopathological-CT model for predicting PD-L1 expression in resectable early-stage non-small cell lung cancer.

ABSTRACT:

Background

The expression of programmed death-ligand 1 (PD-L1) has an impact on survival outcomes in non-small cell lung cancer (NSCLC) patients, but preoperative diagnosis is challenging. This study aimed to construct and validate a non-invasive model for predicting PD-L1 expression in early-stage resected NSCLC based on computed tomography (CT) features and clinicopathological characteristics.

Methods

In this retrospective study, the clinical, pathological, and CT data were obtained from consecutive NSCLC patients who had undergone resection from January 2016 to March 2018. The clinicopathologic, CT, and clinicopathologic-CT models were constructed after univariate and multivariate logistic regression analyses. The Kaplan-Meier analysis and log-rank test were used for surv

SUBMITTER: Zhuo Y 

PROVIDER: S-EPMC12780455 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature