AIMC Topic: Coronary Stenosis

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Machine learning assessment of myocardial ischemia using angiography: Development and retrospective validation.

PLoS medicine Nov 13, 2018
BACKGROUND: Invasive fractional flow reserve (FFR) is a standard tool for identifying ischemia-producing coronary stenosis. However, in clinical practice, over 70% of treatment decisions still rely on visual estimation of angiographic stenosis, which...
Clinical Decision-Making Republic of Korea Female Reproducibility of Results Aged Male Humans Machine Learning Prognosis Retrospective Studies Radiographic Image Interpretation, Computer-Assisted Coronary Vessels Myocardial Ischemia Cardiac Catheterization Coronary Stenosis Fractional Flow Reserve, Myocardial Middle Aged Severity of Illness Index Diagnosis, Computer-Assisted Predictive Value of Tests Coronary Angiography Ultrasonography, Interventional
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Artificial intelligence machine learning-based coronary CT fractional flow reserve (CT-FFR): Impact of iterative and filtered back projection reconstruction techniques.

Journal of cardiovascular computed tomography Oct 26, 2018
BACKGROUND: The influence of computed tomography (CT) reconstruction algorithms on the performance of machine-learning-based CT-derived fractional flow reserve (CT-FFR) has not been investigated. CT-FFR values and processing time of two reconstructio...
Humans Machine Learning Retrospective Studies Female Reproducibility of Results Aged Fractional Flow Reserve, Myocardial Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Workflow Coronary Vessels Computed Tomography Angiography Coronary Stenosis Male Middle Aged Severity of Illness Index Predictive Value of Tests Coronary Angiography
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Magnetocardiography-Based Ischemic Heart Disease Detection and Localization Using Machine Learning Methods.

IEEE transactions on bio-medical engineering Oct 23, 2018
OBJECTIVE: This study focused on developing a fast and accurate automatic ischemic heart disease detection/localization methodology.
Humans Machine Learning Adult Male Coronary Stenosis Diagnosis, Computer-Assisted Support Vector Machine Signal Processing, Computer-Assisted Heart Myocardial Ischemia Magnetocardiography
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Diagnostic performance of machine-learning-based computed fractional flow reserve (FFR) derived from coronary computed tomography angiography for the assessment of myocardial ischemia verified by invasive FFR.

The international journal of cardiovascular imaging Jul 30, 2018
To explore the diagnostic performance of a machine-learning-based (ML-based) computed fractional flow reserve (cFFR) derived from coronary computed tomography angiography (CCTA) in identifying ischemia-causing lesions verified by invasive FFR in cath...
Male Middle Aged Severity of Illness Index Predictive Value of Tests Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Retrospective Studies Female Reproducibility of Results Aged Aged, 80 and over Coronary Vessels Multidetector Computed Tomography Computed Tomography Angiography Coronary Stenosis Fractional Flow Reserve, Myocardial Cardiac Catheters Humans Machine Learning
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Maximization of the usage of coronary CTA derived plaque information using a machine learning based algorithm to improve risk stratification; insights from the CONFIRM registry.

Journal of cardiovascular computed tomography Apr 30, 2018
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 current study investigated whether a ML score, incorporating only the 1...
Risk Assessment Multidetector Computed Tomography Severity of Illness Index Time Factors Plaque, Atherosclerotic ROC Curve Female Coronary Angiography Computed Tomography Angiography Predictive Value of Tests Reproducibility of Results Humans Radiographic Image Interpretation, Computer-Assisted Coronary Stenosis Area Under Curve Risk Factors Machine Learning Registries Aged Algorithms Coronary Artery Disease Male Prognosis Myocardial Infarction Middle Aged Coronary Vessels
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Coronary CT Angiography-derived Fractional Flow Reserve: Machine Learning Algorithm versus Computational Fluid Dynamics Modeling.

Radiology Apr 10, 2018
Purpose To compare two technical approaches for determination of coronary computed tomography (CT) angiography-derived fractional flow reserve (FFR)-FFR derived from coronary CT angiography based on computational fluid dynamics (hereafter, FFR) and F...
Male Middle Aged Hemodynamics Predictive Value of Tests Coronary Angiography Hydrodynamics Computed Tomography Angiography Coronary Stenosis Fractional Flow Reserve, Myocardial Machine Learning Algorithms Retrospective Studies Female Reproducibility of Results Sensitivity and Specificity Humans
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Deep Learning for Prediction of Obstructive Disease From Fast Myocardial Perfusion SPECT: A Multicenter Study.

JACC. Cardiovascular imaging Mar 14, 2018
OBJECTIVES: The study evaluated the automatic prediction of obstructive disease from myocardial perfusion imaging (MPI) by deep learning as compared with total perfusion deficit (TPD).
Deep Learning Predictive Value of Tests Registries Radiopharmaceuticals Image Interpretation, Computer-Assisted Organophosphorus Compounds Tomography, Emission-Computed, Single-Photon Coronary Circulation Myocardial Perfusion Imaging Coronary Stenosis Technetium Tc 99m Sestamibi Organotechnetium Compounds Humans Female Aged Aged, 80 and over Male Middle Aged
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Integrated prediction of lesion-specific ischaemia from quantitative coronary CT angiography using machine learning: a multicentre study.

European radiology Jan 19, 2018
OBJECTIVES: We aimed to investigate if lesion-specific ischaemia by invasive fractional flow reserve (FFR) can be predicted by an integrated machine learning (ML) ischaemia risk score from quantitative plaque measures from coronary computed tomograph...
Plaque, Atherosclerotic Humans Vascular Calcification Machine Learning Computed Tomography Angiography Coronary Stenosis Fractional Flow Reserve, Myocardial Middle Aged Female Severity of Illness Index Aged Hemodynamics Aged, 80 and over Coronary Angiography Adult Coronary Artery Disease Male Myocardial Ischemia
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Deep learning analysis of the myocardium in coronary CT angiography for identification of patients with functionally significant coronary artery stenosis.

Medical image analysis Nov 26, 2017
In patients with coronary artery stenoses of intermediate severity, the functional significance needs to be determined. Fractional flow reserve (FFR) measurement, performed during invasive coronary angiography (ICA), is most often used in clinical pr...
Iohexol Computed Tomography Angiography Coronary Stenosis Cardiac-Gated Imaging Techniques Middle Aged Humans Deep Learning Algorithms Contrast Media Female Coronary Angiography Reproducibility of Results Heart Ventricles Sensitivity and Specificity Male
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Coronary Computed Tomographic Angiography-Derived Fractional Flow Reserve Based on Machine Learning for Risk Stratification of Non-Culprit Coronary Narrowings in Patients with Acute Coronary Syndrome.

The American journal of cardiology Jul 25, 2017
This study investigated the prognostic value of coronary computed tomography angiography (cCTA)-derived fractional flow reserve (CT-FFR) in patients with acute coronary syndrome (ACS) and multivessel disease to gauge significance and guide management...
Coronary Angiography Survival Rate Male Acute Coronary Syndrome Humans Computed Tomography Angiography Middle Aged Machine Learning Coronary Stenosis Prognosis Fractional Flow Reserve, Myocardial Risk Assessment Retrospective Studies ROC Curve Female United States
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