Pericoronary fat attenuation index (FAI) on coronary computed tomography angiography
imaging has been proposed as a novel marker of coronary vascular inflammation with …

Artificial intelligence (AI) describes the use of computational techniques to perform tasks that
normally require human cognition. Machine learning and deep learning are subfields of AI …

Background Atherosclerotic plaque quantification from coronary CT angiography (CCTA)
enables accurate assessment of coronary artery disease burden and prognosis. We sought …

Background Pericoronary adipose tissue (PCAT) attenuation and low-attenuation
noncalcified plaque (LAP) burden can both predict outcomes. Objectives This study sought …

In daily clinical practice, clinicians integrate available data to ascertain the diagnostic and
prognostic probability of a disease or clinical outcome for their patients. For patients with …

Myocardial infarction (MI) is a prevalent cardiovascular disease characterized by myocardial
necrosis resulting from coronary artery ischemia and hypoxia, which can lead to severe …

Coronary computed tomographic angiography (CCTA) is becoming the first-line
investigation for establishing the presence of coronary artery disease and, with fractional …

Objective To determine whether radiomics analysis of pericoronary adipose tissue (PCAT)
captured by coronary computed tomography angiography (CCTA) could discriminate acute …

Radiomics is a new emerging field that includes extraction of metrics and quantification of so-
called radiomic features from medical images. The growing importance of radiomics applied …

Vascular inflammation is a key driver in atherosclerotic progression and plaque rupture.
Recent evidence has shown that coronary computed tomography provides a noninvasive …