AIMC Topic: Coronary Stenosis

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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)...
Aged, 80 and over Sensitivity and Specificity Male Aortic Valve Stenosis Machine Learning Retrospective Studies Female Aged Coronary Stenosis Fractional Flow Reserve, Myocardial Transcatheter Aortic Valve Replacement Predictive Value of Tests Coronary Angiography Coronary Artery Disease Computed Tomography Angiography Humans
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Optimising coronary imaging decisions with machine learning: an external validation study.

Open heart Apr 24, 2025
BACKGROUND: Exclusion of coronary stenosis in individuals with suggestive symptoms is challenging. Cardiac CT or coronary angiography is often used but is inefficient and costly and involves risks. Sex-stratified algorithms based on electronic health...
Predictive Value of Tests Coronary Angiography Coronary Artery Disease Netherlands Computed Tomography Angiography Coronary Stenosis Sex Factors Coronary Vessels Reproducibility of Results Aged Male Middle Aged Algorithms Retrospective Studies Electronic Health Records Humans Female Machine Learning
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Plaque burden improves the detection of ischemic CAD over stenosis from coronary computed tomography angiography.

The international journal of cardiovascular imaging Apr 22, 2025
In symptomatic patients undergoing coronary CTA for suspected coronary artery disease (CAD), we assessed if quantification of plaque burden, in addition to luminal narrowing and clinical risk factors, offers incremental value for the identification o...
Humans Artificial Intelligence Myocardial Perfusion Imaging Coronary Stenosis Predictive Value of Tests Aged Coronary Angiography Male Retrospective Studies Radiographic Image Interpretation, Computer-Assisted Middle Aged Coronary Vessels Female Coronary Artery Disease Severity of Illness Index Plaque, Atherosclerotic Multidetector Computed Tomography Reproducibility of Results Vascular Calcification Risk Factors Computed Tomography Angiography
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Artificial Intelligence in CT Angiography for the Detection of Coronary Artery Stenosis and Calcified Plaque: A Systematic Review and Meta-analysis.

Academic radiology Apr 14, 2025
PURPOSE: We aimed to evaluate the diagnostic performance of artificial intelligence (AI) in detecting coronary artery stenosis and calcified plaque on CT angiography (CTA), comparing its diagnostic performance with that of radiologists.
Sensitivity and Specificity Coronary Angiography Plaque, Atherosclerotic Vascular Calcification Humans Artificial Intelligence Computed Tomography Angiography Coronary Stenosis
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Coronary p-Graph: Automatic classification and localization of coronary artery stenosis from Cardiac CTA using DSA-based annotations.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Apr 4, 2025
Coronary artery disease (CAD) is a prevalent cardiovascular condition with profound health implications. Digital subtraction angiography (DSA) remains the gold standard for diagnosing vascular disease, but its invasiveness and procedural demands unde...
Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Angiography, Digital Subtraction Computed Tomography Angiography Coronary Stenosis Humans Neural Networks, Computer
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Detecting severe coronary artery stenosis in T2DM patients with NAFLD using cardiac fat radiomics-based machine learning.

Scientific reports Feb 25, 2025
To analyze radiomics features of cardiac adipose tissue in individuals with type 2 diabetes (T2DM) and non-alcoholic fatty liver disease (NAFLD), integrating relevant clinical indicators, and employing machine learning techniques to construct a preci...
Tomography, X-Ray Computed Female Aged Radiomics Diabetes Mellitus, Type 2 Adipose Tissue Non-alcoholic Fatty Liver Disease Male Middle Aged Humans Machine Learning Algorithms Retrospective Studies Coronary Stenosis
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Intraoperative stenosis detection in X-ray coronary angiography via temporal fusion and attention-based CNN.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Feb 23, 2025
BACKGROUND AND OBJECTIVE: Coronary artery disease (CAD), the leading cause of mortality, is caused by atherosclerotic plaque buildup in the arteries. The gold standard for the diagnosis of CAD is via X-ray coronary angiography (XCA) during percutaneo...
Neural Networks, Computer Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Stenosis Humans
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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...
Coronary Artery Disease Coronary Vessels Hydrodynamics Computed Tomography Angiography Severity of Illness Index Humans Models, Cardiovascular Fractional Flow Reserve, Myocardial Machine Learning Coronary Stenosis Predictive Value of Tests Reproducibility of Results Coronary Angiography Radiographic Image Interpretation, Computer-Assisted
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Enhancing quantitative coronary angiography (QCA) with advanced artificial intelligence: comparison with manual QCA and visual estimation.

The international journal of cardiovascular imaging Jan 29, 2025
Artificial intelligence-based quantitative coronary angiography (AI-QCA) was introduced to address manual QCA's limitations in reproducibility and correction process. The present study aimed to assess the performance of an updated AI-QCA solution (MP...
Coronary Stenosis Humans Coronary Artery Disease Reproducibility of Results Artificial Intelligence Coronary Vessels Aged Severity of Illness Index Retrospective Studies Male Predictive Value of Tests Female Middle Aged Coronary Angiography Radiographic Image Interpretation, Computer-Assisted
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Diagnostic accuracy in coronary CT angiography analysis: artificial intelligence versus human assessment.

Open heart Jan 11, 2025
BACKGROUND: Visual assessment of coronary CT angiography (CCTA) is time-consuming, influenced by reader experience and prone to interobserver variability. This study evaluated a novel algorithm for coronary stenosis quantification (atherosclerosis im...
Aged Algorithms Predictive Value of Tests Humans Retrospective Studies Observer Variation Coronary Angiography Male Artificial Intelligence Female Middle Aged Coronary Vessels Radiographic Image Interpretation, Computer-Assisted Computed Tomography Angiography Reproducibility of Results Severity of Illness Index Coronary Artery Disease Coronary Stenosis
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