AIMC Topic: Fractional Flow Reserve, Myocardial

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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...
Coronary Angiography Plaque, Atherosclerotic Computed Tomography Angiography Coronary Stenosis Fractional Flow Reserve, Myocardial Humans Female Machine Learning Male Retrospective Studies Middle Aged Diagnosis, Computer-Assisted ROC Curve
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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...
Humans Machine Learning Prognosis Retrospective Studies Coronary Angiography Ultrasonography, Interventional Radiographic Image Interpretation, Computer-Assisted Coronary Vessels Male Myocardial Ischemia Middle Aged Severity of Illness Index Cardiac Catheterization Diagnosis, Computer-Assisted Clinical Decision-Making Coronary Stenosis Predictive Value of Tests Republic of Korea Fractional Flow Reserve, Myocardial Female Reproducibility of Results Aged
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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...
Male Middle Aged Severity of Illness Index Predictive Value of Tests Coronary Angiography Machine Learning Retrospective Studies Female Reproducibility of Results Aged Coronary Stenosis Fractional Flow Reserve, Myocardial Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Workflow Coronary Vessels Computed Tomography Angiography Humans
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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...
Severity of Illness Index Predictive Value of Tests Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Vessels Multidetector Computed Tomography Computed Tomography Angiography Coronary Stenosis Fractional Flow Reserve, Myocardial Cardiac Catheters Reproducibility of Results Aged Aged, 80 and over Male Middle Aged Humans Machine Learning Retrospective Studies Female
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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...
Fractional Flow Reserve, Myocardial Female Reproducibility of Results Sensitivity and Specificity Male Hemodynamics Middle Aged Humans Predictive Value of Tests Machine Learning Coronary Angiography Algorithms Hydrodynamics Retrospective Studies Computed Tomography Angiography Coronary Stenosis
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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...
Humans Machine Learning Female Aged Aged, 80 and over Adult Male Middle Aged Severity of Illness Index Hemodynamics Coronary Angiography Coronary Stenosis Coronary Artery Disease Fractional Flow Reserve, Myocardial Myocardial Ischemia Plaque, Atherosclerotic Vascular Calcification Computed Tomography Angiography
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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 Acute Coronary Syndrome Computed Tomography Angiography Coronary Stenosis Fractional Flow Reserve, Myocardial Male Middle Aged Risk Assessment Humans ROC Curve Machine Learning United States Prognosis Retrospective Studies Female Survival Rate
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Epicardial adipose tissue and myocardial ischemia assessed by computed tomography perfusion imaging and invasive fractional flow reserve.

Journal of cardiovascular computed tomography Dec 30, 2016
BACKGROUND: Epicardial adipose tissue (EAT) is a metabolically active fat depot that is associated with incident coronary artery disease (CAD) and major adverse cardiovascular events. The relationship between EAT and myocardial ischemia remains uncle...
Coronary Artery Disease Coronary Vessels Myocardial Perfusion Imaging Coronary Stenosis Fractional Flow Reserve, Myocardial Middle Aged Pericardium Humans Adipose Tissue Tomography, X-Ray Computed Predictive Value of Tests Female Coronary Angiography Aged Radiographic Image Interpretation, Computer-Assisted Male
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Myocardial Fractional Flow Reserve Measurement Using Contrast Media as a First-Line Assessment of Coronary Lesions in Current Practice.

The Canadian journal of cardiology Sep 25, 2015
BACKGROUND: Fractional flow reserve (FFR) measurement requires adenosine injection. However, adenosine can induce conductive and rhythmic complications, or be contraindicated in some patients. Contrast-induced hyperemia could provide a simple first-l...
Body Mass Index Contrast Media Predictive Value of Tests Coronary Angiography Humans Patient Selection Aged Prospective Studies Sensitivity and Specificity Female France Male Reproducibility of Results Triiodobenzoic Acids Middle Aged Risk Factors Coronary Stenosis Risk Assessment Fractional Flow Reserve, Myocardial Adenosine
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High-resolution deep learning reconstruction to improve the accuracy of CT fractional flow reserve.

European radiology Nov 1, 2025
OBJECTIVES: This study aimed to compare the diagnostic performance of CT-derived fractional flow reserve (CT-FFR) using model-based iterative reconstruction (MBIR) and high-resolution deep learning reconstruction (HR-DLR) images to detect functionall...
Humans Deep Learning Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Computed Tomography Angiography Retrospective Studies Coronary Stenosis Female Fractional Flow Reserve, Myocardial Aged Male Middle Aged
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