Development of a clinical prediction model for acute myocarditis using coronary computed tomography angiography-based radiomics.

ABSTRACT:

Background

Both acute myocarditis patients and normal cohort usually present with normal coronary computed tomography angiography (CCTA) performance, and the performance of CCTA radiomics on the prediction for myocarditis is still unclear. This study aims to build a clinical prediction model for acute myocarditis using CCTA-based radiomics.

Methods

A total of 215 consecutive patients from the Affiliated Jinhua Hospital, Zhejiang University School of Medicine (Center 1) and Sir Run Run Shaw Hospital, Zhejiang University School of Medicine (Center 2) who underwent CCTA and were diagnosed as normal or acute myocarditis were enrolled. All CCTA images of myocardium were automatically segmented to extract radiomics features. Pearson correlation analysis was used to identify featur

SUBMITTER: Chen X 

PROVIDER: S-EPMC11921400 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature