Contrast-enhanced CT-based radiomics for predicting visceral pleural invasion in early-stage non-small cell lung cancer.

ABSTRACT:

Objectives

Waiting for postoperative pathologic confirmation of visceral pleural invasion (VPI) may delay treatment decisions. This study aimed to develop a contrast-enhanced CT-based radiomics model for preoperative prediction of VPI in early-stage non-small cell lung cancer (NSCLC).

Materials and methods

We retrospectively enrolled 523 surgically resected NSCLC patients (195 with VPI, 328 without VPI) with clinically staged IA based on preoperative imaging between December 2019 and June 2022. Patients were randomly divided into training, validation, and testing sets at a ratio of 5:2:3. For each patient, 13 CT features were recorded, including the types I-V tumor relationships to the pleura. Regions of interest (ROIs) were segmented semi-automatically using deep learning.

SUBMITTER: Luo Q 

PROVIDER: S-EPMC12834855 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature