Radiomics of baseline epicardial adipose tissue predicts left ventricular mass regression after transcatheter aortic valve replacement.

ABSTRACT:

Background

Epicardial adipose tissue (EAT) radiomics derived from cardiac computed tomography (CT) images may provide insights into EAT characteristics, which can further predict regression of left ventricular mass index (LVMI) after transcatheter aortic valve replacement (TAVR). This study aimed to develop and validate a radiomics nomogram based on pre-procedural EAT CT to predict inadequate LVMI regression following TAVR.

Methods

Inadequate LVMI regression was defined as ΔLVMI% < 15% at one-year post TAVR. Radiomics features from pre-procedural CT images were selected mainly by least absolute shrinkage and selection operator algorithm. The patients were randomly divided into the training and validation cohorts to establish and evaluate three feature classifier models based

SUBMITTER: Zhang Y 

PROVIDER: S-EPMC11808492 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature