Combination of radiomic and clinical characteristics to predict mortality in patients with colorectal perforation.

ABSTRACT:

Purpose

We aim to construct and verify a model combining radiomic and clinical data to predict early mortality in patients with colorectal perforation in a two-center study.

Methods

Data from 147 patients at Xiaogan Central Hospital (2014-2024) and 52 patients at Southern Hospital of Southern Medical University (2021-2023) were collected for model training and validation. Univariate and multivariate analyses were performed to identify risk factors associated with mortality. Radiomic characteristics from CT scans were extracted via least absolute shrinkage and selection operator (LASSO) regression to construct an imaging score. A nomogram was developed by integrating the findings from the multivariate analysis. Predictive performance was evaluated via the area under the recei

SUBMITTER: Lin J 

PROVIDER: S-EPMC11958471 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature