AIMC Topic: Coronary Angiography

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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...
Retrospective Studies Female Reproducibility of Results Aged Male Middle Aged Severity of Illness Index Predictive Value of Tests Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Humans Artificial Intelligence Algorithms Coronary Stenosis Coronary Artery Disease Observer Variation Coronary Vessels Computed Tomography Angiography
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End-to-end deep-learning model for the detection of coronary artery stenosis on coronary CT images.

Open heart Jan 11, 2025
PURPOSE: We examined whether end-to-end deep-learning models could detect moderate (≥50%) or severe (≥70%) stenosis in the left anterior descending artery (LAD), right coronary artery (RCA) or left circumflex artery (LCX) in iodine contrast-enhanced ...
Coronary Stenosis Aged Male Middle Aged Severity of Illness Index Deep Learning Predictive Value of Tests Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Vessels Computed Tomography Angiography Humans Retrospective Studies Female Reproducibility of Results
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Automated classification of coronary LEsions fRom coronary computed Tomography angiography scans with an updated deep learning model: ALERT study.

European radiology Jan 10, 2025
OBJECTIVES: The use of deep learning models for quantitative measurements on coronary computed tomography angiography (CCTA) may reduce inter-reader variability and increase efficiency in clinical reporting. This study aimed to investigate the diagno...
Humans Retrospective Studies Female Reproducibility of Results Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Observer Variation Computed Tomography Angiography Coronary Stenosis Aged Male Middle Aged Deep Learning Coronary Angiography
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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...
Predictive Value of Tests Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Aged Coronary Artery Disease Male Humans Automation Middle Aged Retrospective Studies Coronary Vessels Female Severity of Illness Index Coronary Stenosis Reproducibility of Results Deep Learning Fractional Flow Reserve, Myocardial
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Predicting mortality after transcatheter aortic valve replacement using AI-based fully automated left atrioventricular coupling index.

Journal of cardiovascular computed tomography Jan 9, 2025
BACKGROUND: This study aimed to determine whether artificial intelligence (AI)-based automated assessment of left atrioventricular coupling index (LACI) can provide incremental value above other traditional risk factors for predicting mortality among...
Transcatheter Aortic Valve Replacement Radiographic Image Interpretation, Computer-Assisted Automation Atrial Function, Left Computed Tomography Angiography Ventricular Function, Left Stroke Volume Risk Assessment Severity of Illness Index Time Factors Treatment Outcome Aortic Valve Stenosis Aortic Valve Predictive Value of Tests Coronary Angiography Female Risk Factors Aged Humans Aged, 80 and over Artificial Intelligence Male Retrospective Studies
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Segmentation and Vascular Vectorization for Coronary Artery by Geometry-Based Cascaded Neural Network.

IEEE transactions on medical imaging Jan 2, 2025
Segmentation of the coronary artery is an important task for the quantitative analysis of coronary computed tomography angiography (CCTA) images and is being stimulated by the field of deep learning. However, the complex structures with tiny and narr...
Computed Tomography Angiography Algorithms Image Processing, Computer-Assisted Coronary Angiography Coronary Vessels Humans Neural Networks, Computer
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Clinical Validation of a Deep Learning Algorithm for Automated Coronary Artery Disease Detection and Classification Using a Heterogeneous Multivendor Coronary Computed Tomography Angiography Data Set.

Journal of thoracic imaging Jan 1, 2025
PURPOSE: We sought to clinically validate a fully automated deep learning (DL) algorithm for coronary artery disease (CAD) detection and classification in a heterogeneous multivendor cardiac computed tomography angiography data set.
Humans Algorithms Retrospective Studies Female Middle Aged Deep Learning Coronary Angiography Coronary Artery Disease Computed Tomography Angiography Reproducibility of Results Aged Adult Sensitivity and Specificity Male
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Computerized classification method for significant coronary artery stenosis on whole-heart coronary MRA using 3D convolutional neural networks with attention mechanisms.

Radiological physics and technology Dec 31, 2024
This study aims to develop a computerized classification method for significant coronary artery stenosis on whole-heart coronary magnetic resonance angiography (WHCMRA) images using a 3D convolutional neural network (3D-CNN) with attention mechanisms...
Magnetic Resonance Angiography Coronary Stenosis Convolutional Neural Networks Imaging, Three-Dimensional Coronary Angiography Heart Neural Networks, Computer Female Aged Humans Male 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 ...
Male Middle Aged Humans Angina, Stable Severity of Illness Index Machine Learning Coronary Angiography Computed Tomography Angiography Retrospective Studies Myocardial Ischemia Coronary Stenosis Female Fractional Flow Reserve, Myocardial Aged
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AI-derived automated quantification of cardiac chambers and myocardium from non-contrast CT: Prediction of major adverse cardiovascular events in asymptomatic subjects.

Atherosclerosis Dec 22, 2024
BACKGROUND AND AIMS: The significance of left ventricular mass and chamber volumes from non-contrast computed tomography (CT) for predicting major adverse cardiovascular events (MACE) has not been studied. Our objective was to evaluate the role of ar...
Deep Learning Coronary Artery Disease Female Humans Artificial Intelligence Predictive Value of Tests Aged Heart Ventricles Prognosis Male Coronary Angiography Vascular Calcification Tomography, X-Ray Computed Middle Aged Radiographic Image Interpretation, Computer-Assisted Asymptomatic Diseases Risk Assessment
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