Multi-Institutional MR-Derived Radiomics to Predict Post-Exenteration Disease Recurrence in Patients With T4 Rectal Cancer.

ABSTRACT:

Introduction

Local recurrence and distant metastasis remain a concern in advanced rectal cancer, with up to 10% and 20%-30% of patients suffering local and distal progression, respectively. Radiomics refers to a novel technology that extracts and analyses quantitative imaging features from images, which can be subsequently used to develop and test clinical models predictive of outcomes. We aim to develop and test an MRI-based radiomics nomogram predictive of disease recurrence in patients with T4 rectal cancer.

Methods

We conducted a multi-institutional retrospective analysis of 55 patients with T4 rectal cancer treated with neoadjuvant chemoradiotherapy followed by exenterative surgery. Radiomic features were extracted from pre-treatment T2-weighted MRI scans and used to co

SUBMITTER: O'Sullivan NJ 

PROVIDER: S-EPMC11836347 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature