AIMC Topic: Coronary Artery Disease

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Machine learning insight into the role of imaging and clinical variables for the prediction of obstructive coronary artery disease and revascularization: An exploratory analysis of the CONSERVE study.

PloS one Jun 25, 2020
BACKGROUND: Machine learning (ML) is able to extract patterns and develop algorithms to construct data-driven models. We use ML models to gain insight into the relative importance of variables to predict obstructive coronary artery disease (CAD) usin...
Male Humans Coronary Artery Disease Machine Learning Middle Aged Myocardial Revascularization Female Models, Statistical Aged Coronary Angiography
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Deep learning for automated exclusion of cardiac CT examinations negative for coronary artery calcium.

European journal of radiology Jun 3, 2020
PURPOSE: Coronary artery calcium (CAC) score has shown to be an accurate predictor of future cardiovascular events. Early detection by CAC scoring might reduce the number of deaths by cardiovascular disease (CVD). Automatically excluding scans which ...
Humans Tomography, X-Ray Computed Female Risk Factors Calcinosis Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Coronary Vessels Aged Male Middle Aged Deep Learning
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Impact of machine learning-based coronary computed tomography angiography fractional flow reserve on treatment decisions and clinical outcomes in patients with suspected coronary artery disease.

European radiology May 28, 2020
OBJECTIVES: This study investigated the impact of machine learning (ML)-based fractional flow reserve derived from computed tomography (FFR) compared to invasive coronary angiography (ICA) for therapeutic decision-making and patient outcome in patien...
Decision Making Predictive Value of Tests Coronary Angiography Coronary Artery Disease Female Male Middle Aged Severity of Illness Index Disease Management Computed Tomography Angiography Fractional Flow Reserve, Myocardial Humans Artificial Intelligence Machine Learning Retrospective Studies
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Non - invasive modelling methodology for the diagnosis of coronary artery disease using fuzzy cognitive maps.

Computer methods in biomechanics and biomedical engineering May 20, 2020
Cardiovascular diseases (CVD) and strokes produce immense health and economic burdens globally. Coronary Artery Disease (CAD) is the most common type of cardiovascular disease. Coronary Angiography, which is an invasive approach for detection and tre...
Humans Algorithms Female Male ROC Curve Fuzzy Logic Decision Support Systems, Clinical Coronary Artery Disease Databases as Topic Models, Cardiovascular
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Automated coronary artery atherosclerosis detection and weakly supervised localization on coronary CT angiography with a deep 3-dimensional convolutional neural network.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Apr 27, 2020
We propose a fully automated algorithm based on a deep learning framework enabling screening of a coronary computed tomography angiography (CCTA) examination for confident detection of the presence or absence of coronary artery atherosclerosis. The s...
Coronary Artery Disease Humans Computed Tomography Angiography Neural Networks, Computer Imaging, Three-Dimensional Coronary Angiography
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A fusion framework based on multi-domain features and deep learning features of phonocardiogram for coronary artery disease detection.

Computers in biology and medicine Mar 30, 2020
Phonocardiogram (PCG) signals reflect the mechanical activity of the heart. Previous studies have reported that PCG signals contain heart murmurs caused by coronary artery disease (CAD). However, the murmurs caused by CAD are very weak and rarely hea...
Deep Learning Coronary Artery Disease Humans Neural Networks, Computer
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Diagnostic performance of deep learning-based vascular extraction and stenosis detection technique for coronary artery disease.

The British journal of radiology Mar 25, 2020
OBJECTIVE: To investigate the diagnostic performance of deep learning (DL)-based vascular extraction and stenosis detection technology in assessing coronary artery disease (CAD).
Retrospective Studies Female Aged Sensitivity and Specificity Humans Computed Tomography Angiography Coronary Stenosis Predictive Value of Tests Coronary Angiography Coronary Artery Disease Male Angiography, Digital Subtraction Middle Aged Deep Learning ROC Curve
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Impact of machine-learning CT-derived fractional flow reserve for the diagnosis and management of coronary artery disease in the randomized CRESCENT trials.

European radiology Mar 12, 2020
OBJECTIVE: To determine the potential impact of on-site CT-derived fractional flow reserve (CT-FFR) on the diagnostic efficiency and effectiveness of coronary CT angiography (CCTA) in patients with obstructive coronary artery disease (CAD) on CCTA.
Cardiac Catheterization Computed Tomography Angiography Coronary Stenosis Fractional Flow Reserve, Myocardial Coronary Angiography Percutaneous Coronary Intervention Coronary Artery Disease Disease Management Male Humans Machine Learning Middle Aged Retrospective Studies Hemodynamics Tomography, X-Ray Computed Cohort Studies Female Aged
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The impact of iterative reconstruction algorithms on machine learning-based coronary CT angiography-derived fractional flow reserve (CT-FFR) values.

The international journal of cardiovascular imaging Mar 4, 2020
To evaluate the impact of an iterative reconstruction (IR) algorithm (advanced modeled iterative reconstruction, ADMIRE) on machine learning-based coronary computed tomography angiography-derived fractional flow reserve (CT-FFR) measurements compared...
Coronary Artery Disease Observer Variation Coronary Vessels Plaque, Atherosclerotic Vascular Calcification Computed Tomography Angiography Coronary Stenosis Fractional Flow Reserve, Myocardial Severity of Illness Index Predictive Value of Tests Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Reproducibility of Results Aged Humans Male Machine Learning Middle Aged Retrospective Studies Female
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Machine Learning Framework to Identify Individuals at Risk of Rapid Progression of Coronary Atherosclerosis: From the PARADIGM Registry.

Journal of the American Heart Association Feb 22, 2020
Background Rapid coronary plaque progression (RPP) is associated with incident cardiovascular events. To date, no method exists for the identification of individuals at risk of RPP at a single point in time. This study integrated coronary computed to...
Predictive Value of Tests Humans Coronary Angiography Coronary Artery Disease Machine Learning Radiographic Image Interpretation, Computer-Assisted Prospective Studies Middle Aged Multidetector Computed Tomography Registries Disease Progression Female Plaque, Atherosclerotic Diagnosis, Computer-Assisted Aged Computed Tomography Angiography Time Factors Male
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