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)...
Fractional Flow Reserve, Myocardial Transcatheter Aortic Valve Replacement Aged, 80 and over Sensitivity and Specificity Male Aortic Valve Stenosis Coronary Artery Disease Computed Tomography Angiography Coronary Stenosis Predictive Value of Tests Coronary Angiography Machine Learning Retrospective Studies Female Aged 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...
Aged Male Middle Aged Predictive Value of Tests Coronary Angiography Coronary Artery Disease Netherlands Sex Factors Retrospective Studies Electronic Health Records Female Reproducibility of Results Humans Machine Learning Algorithms Coronary Vessels Computed Tomography Angiography Coronary Stenosis
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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...
Computed Tomography Angiography Myocardial Perfusion Imaging Coronary Stenosis Coronary Vessels Multidetector Computed Tomography Plaque, Atherosclerotic Vascular Calcification Aged Male Middle Aged Retrospective Studies Severity of Illness Index Humans Female Predictive Value of Tests Artificial Intelligence Reproducibility of Results Coronary Angiography Risk Factors Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease
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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.
Humans Vascular Calcification Computed Tomography Angiography Coronary Stenosis Artificial Intelligence Sensitivity and Specificity Coronary Angiography Plaque, Atherosclerotic
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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...
Humans Computed Tomography Angiography Coronary Stenosis Neural Networks, Computer Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Angiography, Digital Subtraction
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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...
Adipose Tissue Retrospective Studies Tomography, X-Ray Computed Non-alcoholic Fatty Liver Disease Female Coronary Stenosis Aged Radiomics Humans Male Machine Learning Middle Aged Algorithms Diabetes Mellitus, Type 2
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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...
Coronary Stenosis Humans Neural Networks, Computer Coronary Angiography Radiographic Image Interpretation, Computer-Assisted
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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...
Machine Learning Reproducibility of Results Severity of Illness Index Predictive Value of Tests Humans Hydrodynamics Computed Tomography Angiography Coronary Angiography Fractional Flow Reserve, Myocardial Models, Cardiovascular Radiographic Image Interpretation, Computer-Assisted Coronary Stenosis Coronary Artery Disease Coronary Vessels
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High-resolution deep learning reconstruction for coronary CTA: compared efficacy of stenosis evaluation with other methods at in vitro and in vivo studies.

European radiology Feb 4, 2025
OBJECTIVE: To directly compare coronary arterial stenosis evaluations by hybrid-type iterative reconstruction (IR), model-based IR (MBIR), deep learning reconstruction (DLR), and high-resolution deep learning reconstruction (HR-DLR) on coronary compu...
Phantoms, Imaging Computed Tomography Angiography Coronary Stenosis Female Reproducibility of Results Aged Male Middle Aged Deep Learning Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Humans Retrospective Studies
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Ultra-low-dose coronary CT angiography via super-resolution deep learning reconstruction: impact on image quality, coronary plaque, and stenosis analysis.

European radiology Feb 1, 2025
OBJECTIVES: To exploit the capability of super-resolution deep learning reconstruction (SR-DLR) to save radiation exposure from coronary CT angiography (CCTA) and assess its impact on image quality, coronary plaque quantification and characterization...
Prospective Studies Female Aged Male Humans Coronary Artery Disease Radiation Dosage Plaque, Atherosclerotic Computed Tomography Angiography Coronary Stenosis Middle Aged Deep Learning Coronary Angiography Radiographic Image Interpretation, Computer-Assisted
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