AIMC Topic: Plaque, Atherosclerotic

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Impact of Coronary Computerized Tomography Angiography-Derived Plaque Quantification and Machine-Learning Computerized Tomography Fractional Flow Reserve on Adverse Cardiac Outcome.

The American journal of cardiology Aug 8, 2019
This study investigated the impact of coronary CT angiography (cCTA)-derived plaque markers and machine-learning-based CT-derived fractional flow reserve (CT-FFR) to identify adverse cardiac outcome. Data of 82 patients (60 ± 11 years, 62% men) who u...
Multidetector Computed Tomography Plaque, Atherosclerotic Computed Tomography Angiography Coronary Stenosis Fractional Flow Reserve, Myocardial ROC Curve United States Follow-Up Studies Coronary Angiography Coronary Vessels Humans Machine Learning Prognosis Retrospective Studies Female Survival Rate Male Middle Aged Severity of Illness Index
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Radiomics versus Visual and Histogram-based Assessment to Identify Atheromatous Lesions at Coronary CT Angiography: An ex Vivo Study.

Radiology Aug 6, 2019
Background Visual and histogram-based assessments of coronary CT angiography have limited accuracy in the identification of advanced lesions. Radiomics-based machine learning (ML) could provide a more accurate tool. Purpose To compare the diagnostic ...
Middle Aged Humans Coronary Artery Disease Coronary Angiography Machine Learning Plaque, Atherosclerotic Prospective Studies Radiographic Image Interpretation, Computer-Assisted Computed Tomography Angiography Reproducibility of Results Male
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Prediction of coronary thin-cap fibroatheroma by intravascular ultrasound-based machine learning.

Atherosclerosis May 4, 2019
BACKGROUND AND AIMS: Although grayscale intravascular ultrasound (IVUS) is commonly used for assessing coronary lesion morphology and optimizing stent implantation, detection of vulnerable plaques by IVUS remains challenging. We aimed to develop mach...
Humans Aged Male Middle Aged Risk Assessment Disease Progression Diagnosis, Computer-Assisted Neural Networks, Computer Machine Learning Female Reproducibility of Results Risk Factors Coronary Stenosis Fibrosis Image Interpretation, Computer-Assisted Predictive Value of Tests Coronary Vessels Tomography, Optical Coherence Rupture, Spontaneous Bayes Theorem Plaque, Atherosclerotic Ultrasonography, Interventional Coronary Artery Disease
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Advanced atherosclerosis imaging by CT: Radiomics, machine learning and deep learning.

Journal of cardiovascular computed tomography Apr 21, 2019
In the last decade, technical advances in the field of medical imaging significantly improved and broadened the application of coronary CT angiography (CCTA) for the non-invasive assessment of coronary artery disease. Recently, similar breakthroughs ...
Coronary Vessels Plaque, Atherosclerotic Computed Tomography Angiography Deep Learning Predictive Value of Tests Prognosis Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Reproducibility of Results Coronary Artery Disease Severity of Illness Index Humans
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Plaque components segmentation in carotid artery on simultaneous non-contrast angiography and intraplaque hemorrhage imaging using machine learning.

Magnetic resonance imaging Apr 5, 2019
PURPOSE: This study sought to determine the feasibility of using Simultaneous Non-contrast Angiography and intraPlaque Hemorrhage (SNAP) to detect the lipid-rich/necrotic core (LRNC), and develop a machine learning based algorithm to segment plaque c...
Angiography Necrosis Carotid Stenosis Plaque, Amyloid Cerebral Hemorrhage Bayes Theorem Carotid Arteries Carotid Artery, Common Plaque, Atherosclerotic Algorithms Female Reproducibility of Results Aged Sensitivity and Specificity Male Middle Aged Contrast Media Calcinosis Lipids Humans Machine Learning
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The best predictor of ischemic coronary stenosis: subtended myocardial volume, machine learning-based FFR, or high-risk plaque features?

European radiology Mar 22, 2019
OBJECTIVES: The present study aimed to compare the diagnostic performance of a machine learning (ML)-based FFR algorithm, quantified subtended myocardial volume, and high-risk plaque features for predicting if a coronary stenosis is hemodynamically s...
Female Male Middle Aged Coronary Angiography Myocardial Ischemia Plaque, Atherosclerotic Coronary Stenosis Fractional Flow Reserve, Myocardial Humans Machine Learning Retrospective Studies Tomography, X-Ray Computed
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Machine Learning Using CT-FFR Predicts Proximal Atherosclerotic Plaque Formation Associated With LAD Myocardial Bridging.

JACC. Cardiovascular imaging Mar 13, 2019
Humans Machine Learning Coronary Artery Disease Image Interpretation, Computer-Assisted Coronary Vessels Plaque, Atherosclerotic Computed Tomography Angiography Fractional Flow Reserve, Myocardial Myocardial Bridging Prognosis Male Retrospective Studies Middle Aged Female Time Factors Risk Factors Predictive Value of Tests Aged Coronary Angiography
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Rheumatoid Arthritis: Atherosclerosis Imaging and Cardiovascular Risk Assessment Using Machine and Deep Learning-Based Tissue Characterization.

Current atherosclerosis reports Jan 25, 2019
PURPOSE OF THE REVIEW: Rheumatoid arthritis (RA) is a chronic, autoimmune disease which may result in a higher risk of cardiovascular (CV) events and stroke. Tissue characterization and risk stratification of patients with rheumatoid arthritis are a ...
Carotid Artery Diseases Inflammation Tomography, Optical Coherence Atherosclerosis Carotid Arteries Plaque, Atherosclerotic Humans Risk Factors Risk Assessment Deep Learning Ultrasonography Arthritis, Rheumatoid
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Decreased circulating catestatin levels are associated with coronary artery disease: The emerging anti-inflammatory role.

Atherosclerosis Dec 24, 2018
BACKGROUND AND AIMS: The neuropeptide catestatin (CST) is an endogenous nicotinic cholinergic antagonist that acts as pleiotropic cardiac protective hormone. This study investigated the association between CST and coronary artery disease (CAD) and th...
Animals Human Umbilical Vein Endothelial Cells Humans Down-Regulation Peptidyl-Dipeptidase A Peptide Fragments Cells, Cultured Male Cell Adhesion Molecules Plaque, Atherosclerotic Anti-Inflammatory Agents Severity of Illness Index Cytokines Angiotensin-Converting Enzyme 2 Coronary Artery Disease Case-Control Studies Biomarkers Chromogranin A Atherosclerosis Disease Models, Animal Female Mice, Knockout, ApoE
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Coronary CT angiography-derived plaque quantification with artificial intelligence CT fractional flow reserve for the identification of lesion-specific ischemia.

European radiology Dec 6, 2018
OBJECTIVES: We sought to investigate the diagnostic performance of coronary CT angiography (cCTA)-derived plaque markers combined with deep machine learning-based fractional flow reserve (CT-FFR) to identify lesion-specific ischemia using invasive FF...
Female Male Middle Aged Diagnosis, Computer-Assisted ROC Curve Humans Coronary Angiography Machine Learning Plaque, Atherosclerotic Retrospective Studies Computed Tomography Angiography Coronary Stenosis Fractional Flow Reserve, Myocardial
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