AIMC Topic: Coronary Angiography

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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)...
Computed Tomography Angiography Coronary Stenosis Fractional Flow Reserve, Myocardial Transcatheter Aortic Valve Replacement Aortic Valve Stenosis Predictive Value of Tests Coronary Angiography Coronary Artery Disease Humans Machine Learning Retrospective Studies Female Aged Aged, 80 and over Sensitivity and Specificity Male
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Deep learning-based classification of coronary arteries and left ventricle using multimodal data for autonomous protocol selection or adjustment in angiography.

Scientific reports Apr 30, 2025
Optimal selection of X-ray imaging parameters is crucial in coronary angiography and structural cardiac procedures to ensure optimal image quality and minimize radiation exposure. These anatomydependent parameters are organized into customizable orga...
Heart Ventricles Coronary Vessels Middle Aged Humans Deep Learning Algorithms Image Processing, Computer-Assisted Female Coronary Angiography Male
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Fast and automatic coronary artery segmentation using nnU-Net for non-contrast enhanced magnetic resonance coronary angiography.

The international journal of cardiovascular imaging Apr 26, 2025
Non-contrast enhanced magnetic resonance coronary angiography (MRCA) is a promising coronary heart disease screening modality. However, its clinical application is hindered by inherent limitations, including low spatial resolution and insufficient co...
Observer Variation Humans Female Automation Reproducibility of Results Computed Tomography Angiography Coronary Vessels Male Aged Magnetic Resonance Angiography Middle Aged Predictive Value of Tests Deep Learning Coronary Angiography Time Factors Coronary Artery Disease Image Interpretation, Computer-Assisted
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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 Reproducibility of Results Humans Aged Algorithms Machine Learning Male Sex Factors Retrospective Studies Middle Aged Coronary Vessels Electronic Health Records Computed Tomography Angiography Female Coronary Stenosis
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Impact of CT reconstruction algorithms on pericoronary and epicardial adipose tissue attenuation.

European journal of radiology Apr 23, 2025
OBJECTIVE: This study aims to investigate the impact of adaptive statistical iterative reconstruction-Veo (ASIR-V) and deep learning image reconstruction (DLIR) algorithms on the quantification of pericoronary adipose tissue (PCAT) and epicardial adi...
Humans Algorithms Retrospective Studies Tomography, X-Ray Computed Computed Tomography Angiography Deep Learning Female Pericardium Adipose Tissue Aged Epicardial Adipose Tissue Coronary Angiography Male Radiographic Image Interpretation, Computer-Assisted Middle Aged
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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...
Myocardial Perfusion Imaging Coronary Stenosis Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Coronary Vessels Multidetector Computed Tomography Plaque, Atherosclerotic Vascular Calcification Computed Tomography Angiography Male Middle Aged Severity of Illness Index Predictive Value of Tests Female Reproducibility of Results Risk Factors Aged Humans Artificial Intelligence Retrospective Studies
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World of Forms: Deformable geometric templates for one-shot surface meshing in coronary CT angiography.

Medical image analysis Apr 18, 2025
Deep learning-based medical image segmentation and surface mesh generation typically involve a sequential pipeline from image to segmentation to meshes, often requiring large training datasets while making limited use of prior geometric knowledge. Th...
Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Computed Tomography Angiography Humans Neural Networks, Computer Algorithms Deep Learning Imaging, Three-Dimensional
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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.
Plaque, Atherosclerotic Humans Vascular Calcification Artificial Intelligence Computed Tomography Angiography Sensitivity and Specificity Coronary Angiography Coronary Stenosis
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Chronic Total Occlusion Percutaneous Coronary Intervention: Present and Future.

Circulation. Cardiovascular interventions Apr 14, 2025
Chronic total occlusion percutaneous coronary intervention has evolved into a subspecialty of interventional cardiology. Using a variety of antegrade and retrograde techniques, experienced operators currently achieve success rates of 85% to 90%, with...
Risk Factors Treatment Outcome Chronic Disease Predictive Value of Tests Humans Forecasting Coronary Angiography Percutaneous Coronary Intervention Diffusion of Innovation Coronary Occlusion
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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 Coronary Artery Disease Fractional Flow Reserve, Myocardial Humans
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