Prevalence of subclinical coronary artery atherosclerosis in the general population
Background: Early detection of coronary atherosclerosis using coronary computed
tomography angiography (CCTA), in addition to coronary artery calcification (CAC) scoring …
tomography angiography (CCTA), in addition to coronary artery calcification (CAC) scoring …
[HTML][HTML] Plaque imaging with CT—a comprehensive review on coronary CT angiography based risk assessment
CT based technologies have evolved considerably in recent years. Coronary CT
angiography (CTA) provides robust assessment of coronary artery disease (CAD). Early …
angiography (CTA) provides robust assessment of coronary artery disease (CAD). Early …
Risk prediction of cardiovascular events by exploration of molecular data with explainable artificial intelligence
Cardiovascular diseases (CVD) annually take almost 18 million lives worldwide. Most lethal
events occur months or years after the initial presentation. Indeed, many patients experience …
events occur months or years after the initial presentation. Indeed, many patients experience …
Coronary atherosclerotic precursors of acute coronary syndromes
Background: The association of atherosclerotic features with first acute coronary syndromes
(ACS) has not accounted for plaque burden. Objectives: The purpose of this study was to …
(ACS) has not accounted for plaque burden. Objectives: The purpose of this study was to …
Machine learning for prediction of all-cause mortality in patients with suspected coronary artery disease: a 5-year multicentre prospective registry analysis
Aims Traditional prognostic risk assessment in patients undergoing non-invasive imaging is
based upon a limited selection of clinical and imaging findings. Machine learning (ML) can …
based upon a limited selection of clinical and imaging findings. Machine learning (ML) can …
Machine learning of clinical variables and coronary artery calcium scoring for the prediction of obstructive coronary artery disease on coronary computed tomography …
Aims Symptom-based pretest probability scores that estimate the likelihood of obstructive
coronary artery disease (CAD) in stable chest pain have moderate accuracy. We sought to …
coronary artery disease (CAD) in stable chest pain have moderate accuracy. We sought to …
Prognostic value of nonobstructive and obstructive coronary artery disease detected by coronary computed tomography angiography to identify cardiovascular events
Background—The contribution of plaque extent to predict cardiovascular events among
patients with nonobstructive and obstructive coronary artery disease (CAD) is not well …
patients with nonobstructive and obstructive coronary artery disease (CAD) is not well …
Prevalence and severity of coronary artery disease and adverse events among symptomatic patients with coronary artery calcification scores of zero undergoing …
Objectives: The purpose of this study was to describe the prevalence and severity of
coronary artery disease (CAD) in relation to prognosis in symptomatic patients without …
coronary artery disease (CAD) in relation to prognosis in symptomatic patients without …
Maximization of the usage of coronary CTA derived plaque information using a machine learning based algorithm to improve risk stratification; insights from the …
Introduction Machine learning (ML) is a field in computer science that demonstrated to
effectively integrate clinical and imaging data for the creation of prognostic scores. The …
effectively integrate clinical and imaging data for the creation of prognostic scores. The …
Performance of the traditional age, sex, and angina typicality–based approach for estimating pretest probability of angiographically significant coronary artery disease …
VY Cheng, DS Berman, A Rozanski, AM Dunning… - Circulation, 2011 - Am Heart Assoc
Background—Guidelines for the management of patients with suspected coronary artery
disease (CAD) rely on the age, sex, and angina typicality–based pretest probabilities of …
disease (CAD) rely on the age, sex, and angina typicality–based pretest probabilities of …