Background The prognostic efficacy of a coronary computed tomography angiography
(CCTA)-derived myocardial radiomics model in patients with chronic myocardial infarction …

Background Coronary computed tomography angiography (CCTA) is a well-established non-
invasive diagnostic test for the assessment of coronary artery diseases (CAD). CCTA not …

Objective The present study aimed to predict myocardial ischemia in coronary heart disease
(CHD) patients based on the radiologic features of coronary computed tomography …

Current clinical interpretation of coronary computed tomography angiography (CTA) is
limited to anatomical assessment of stenosis severity, 1 which alone does not determine the …

Lesion-specific myocardial ischemia is a common heart disorder and a significant cause of
cardiovascular morbidity and mortality. It alters left ventricular myocardial thickness …

Objectives: To explore the incremental value of myocardial radiomics signature derived from
static coronary computed tomography angiography (CCTA) for identifying myocardial …

Rationale and Objectives This study aims to evaluate the capability of machine learning
algorithms in utilizing radiomic features extracted from cine-cardiac magnetic resonance …

Objective To evaluate the potential value of the machine learning (ML) models using
radiomic features of late gadolinium enhancement (LGE) and cine images on magnetic …

Myocardial fibrosis (MF) is a common histopathological change observed in patients with
hypertrophic cardiomyopathy (HCM)[1]. Currently, cardiac late gadolinium enhancement …

Objective Robust differentiation between infarcted and normal tissue is important for clinical
diagnosis and precision medicine. The aim of this work is to investigate the radiomic …