A preoperative pathological staging prediction model for esophageal cancer based on CT radiomics.

ABSTRACT:

Background

Accurate and comprehensive preoperative staging is one of the most important prognostic factors for the management of esophageal cancer (EC). We aimed to develop and validate predictive models using radiomics from preoperative contrast-enhanced Computed Tomography (CT) images to assess pathological staging in EC patients.

Methods

This study retrospectively included 161 patients who underwent esophagectomy at Sichuan Cancer Hospital from July 2018 to February 2023. Pathological staging outcomes encompassed overall TNM staging, T and N staging, and tumor progressions (vascular invasion and perineural invasion). Radiomics features were extracted from segmented regions of tumors. A radiomic signature (Rad-signature) for each outcome was developed using a fivefold cros

SUBMITTER: Li H 

PROVIDER: S-EPMC11841142 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature