Developing a CT-based radiomics nomogram for predicting post-acute pancreatitis diabetes mellitus incidence.

ABSTRACT:

Objective

The present study aimed to develop the utility of a nomogram based on clinical and radiomics as a tool for predicting post-acute pancreatitis diabetes mellitus (PPDM-A).

Methods

This retrospective investigation evaluated 244 patients with acute pancreatitis. Patients were randomized in a 7:3 ratio into training and validation cohorts. Radiomics feature selection was then achieved using the variance threshold, select best K, and least absolute shrinkage and selection operator methods. The area under the curve values, decision, and calibration curves have been used to determine the models' predictive value.

Results

The developed nomogram performed superior to the clinical model in the validation (0.815 vs 0.677, p = 0.016) and training cohorts (0

SUBMITTER: Zhong S 

PROVIDER: S-EPMC10646623 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature