Computed tomography- and magnetic resonance imaging-based multi-modality radiomics models for predicting survival in esophageal cancer patients.

ABSTRACT:

Objectives

This study explores the integration of radiomics features from contrast-enhanced CT and MRI with clinical and radiological risk factors for optimal prognosis models of disease-free survival (DFS) and overall survival (OS) in esophageal squamous cell carcinoma (ESCC).

Materials and methods

A retrospective study is undertaken of 371 ESCC patients who underwent contrast-enhanced CT and MRI with StarVIBE sequence, from September 2014 to December 2019. Prognosis models for DFS and OS were developed using cross-validation and Elastic-Net-Cox regression. Patients were grouped by treatment type (surgery, chemoradiotherapy, neoadjuvant therapy) to create single-modality and multi-modality models (Model-S, Model-CRT, and Model-nT). Model performance was evaluated using nomo

SUBMITTER: Chu F 

PROVIDER: S-EPMC12903392 | biostudies-literature | 2026 Mar

REPOSITORIES: biostudies-literature