AIMC Topic: Fractional Flow Reserve, Myocardial

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Two birds with one stone: pre-TAVI coronary CT angiography combined with FFR helps screen for coronary stenosis.

BMC medical imaging May 26, 2025
OBJECTIVES: Since coronary artery disease (CAD) is a common comorbidity in patients with aortic valve stenosis, invasive coronary angiography (ICA) can be avoided if significant CAD can be screened with the non-invasive coronary CT angiography (cCTA)...
Aortic Valve Stenosis Predictive Value of Tests Coronary Angiography Coronary Artery Disease Computed Tomography Angiography Coronary Stenosis Fractional Flow Reserve, Myocardial Transcatheter Aortic Valve Replacement Aged Aged, 80 and over Sensitivity and Specificity Male Humans Machine Learning Retrospective Studies Female
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Bi-variational physics-informed operator network for fractional flow reserve curve assessment from coronary angiography.

Medical image analysis Apr 12, 2025
The coronary angiography-derived fractional flow reserve (FFR) curve, referred to as the Angio-FFR curve, is crucial for guiding percutaneous coronary intervention (PCI). The invasive FFR is the diagnostic gold standard for determining functional sig...
Neural Networks, Computer Coronary Angiography Humans Coronary Artery Disease Fractional Flow Reserve, Myocardial
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Implementation of a national AI technology program on cardiovascular outcomes and the health system.

Nature medicine Apr 4, 2025
Coronary artery disease (CAD) is a major cause of ill health and death worldwide. Coronary computed tomographic angiography (CCTA) is the first-line investigation to detect CAD in symptomatic patients. This diagnostic approach risks greater second-li...
Male Cardiovascular Diseases Middle Aged Coronary Angiography Humans Artificial Intelligence Female Aged Coronary Artery Disease Computed Tomography Angiography Fractional Flow Reserve, Myocardial
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Machine learning and computational fluid dynamics derived FFRCT demonstrate comparable diagnostic performance in patients with coronary artery disease; A Systematic Review and Meta-Analysis.

Journal of cardiovascular computed tomography Feb 22, 2025
BACKGROUND: As a new noninvasive diagnostic technique, computed tomography-derived fraction flow reserve (FFRCT) has been used to identify hemodynamically significant coronary artery stenosis. FFRCT can be calculated using computational fluid dynamic...
Reproducibility of Results Severity of Illness Index Predictive Value of Tests Coronary Angiography Humans Machine Learning Computed Tomography Angiography Models, Cardiovascular Coronary Stenosis Fractional Flow Reserve, Myocardial Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Coronary Vessels Hydrodynamics
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Automated stenosis estimation of coronary angiographies using end-to-end learning.

The international journal of cardiovascular imaging Jan 9, 2025
The initial evaluation of stenosis during coronary angiography is typically performed by visual assessment. Visual assessment has limited accuracy compared to fractional flow reserve and quantitative coronary angiography, which are more time-consumin...
Coronary Stenosis Fractional Flow Reserve, Myocardial Severity of Illness Index Deep Learning Predictive Value of Tests Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Automation Coronary Vessels Reproducibility of Results Humans Aged Retrospective Studies Male Female Middle Aged
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Noninvasive machine-learning models for the detection of lesion-specific ischemia in patients with stable angina with intermediate stenosis severity on coronary CT angiography.

Physical and engineering sciences in medicine Dec 30, 2024
This study proposed noninvasive machine-learning models for the detection of lesion-specific ischemia (LSI) in patients with stable angina with intermediate stenosis severity based on coronary computed tomography (CT) angiography. This single-center ...
Angina, Stable Retrospective Studies Humans Female Middle Aged Computed Tomography Angiography Aged Machine Learning Severity of Illness Index Coronary Stenosis Male Coronary Angiography Fractional Flow Reserve, Myocardial Myocardial Ischemia
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Artificial Intelligence-Driven Assessment of Coronary Computed Tomography Angiography for Intermediate Stenosis: Comparison With Quantitative Coronary Angiography and Fractional Flow Reserve.

The American journal of cardiology Dec 11, 2024
We aimed to compare artificial intelligence (AI)-based coronary stenosis evaluation of coronary computed tomography angiography (CCTA) with its quantitative counterpart of invasive coronary angiography (ICA) and invasive fractional flow reserve (FFR)...
Aged Male Coronary Stenosis Middle Aged Humans Severity of Illness Index Predictive Value of Tests Fractional Flow Reserve, Myocardial Artificial Intelligence Coronary Angiography Retrospective Studies Coronary Vessels Female Computed Tomography Angiography
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Constraint-Aware Learning for Fractional Flow Reserve Pullback Curve Estimation From Invasive Coronary Imaging.

IEEE transactions on medical imaging Dec 2, 2024
Estimation of the fractional flow reserve (FFR) pullback curve from invasive coronary imaging is important for the intraoperative guidance of coronary intervention. Machine/deep learning has been proven effective in FFR pullback curve estimation. How...
Fractional Flow Reserve, Myocardial Humans Machine Learning Algorithms Male Deep Learning Coronary Angiography Coronary Vessels
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Artificial intelligence-enhanced detection of subclinical coronary artery disease in athletes: diagnostic performance and limitations.

The international journal of cardiovascular imaging Oct 7, 2024
PURPOSE: This study evaluates the diagnostic performance of artificial intelligence (AI)-based coronary computed tomography angiography (CCTA) for detecting coronary artery disease (CAD) and assessing fractional flow reserve (FFR) in asymptomatic mal...
Prospective Studies Reproducibility of Results Aged Male Middle Aged Severity of Illness Index Predictive Value of Tests Coronary Angiography Fractional Flow Reserve, Myocardial Humans Artificial Intelligence Coronary Vessels Radiographic Image Interpretation, Computer-Assisted Asymptomatic Diseases Coronary Artery Disease Computed Tomography Angiography Running Coronary Stenosis Athletes
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AngioPy Segmentation: An open-source, user-guided deep learning tool for coronary artery segmentation.

International journal of cardiology Sep 26, 2024
BACKGROUND: Quantitative coronary angiography (QCA) typically employs traditional edge detection algorithms that often require manual correction. This has important implications for the accuracy of downstream 3D coronary reconstructions and computed ...
Coronary Vessels Fractional Flow Reserve, Myocardial Middle Aged Humans Female Deep Learning Male Coronary Angiography Coronary Artery Disease
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