AIMC Topic: Coronary Vessels

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Artificial intelligence quantification and experienced reader computed tomography analysis for differentiating normal from minimally and mildly diseased coronary arteries: an early real-world compatibility study.

The international journal of cardiovascular imaging Feb 28, 2025
Differentiating normal from minimally and mildly diseased coronary arteries on coronary computed tomographic angiography (CCTA) is crucial, impacting treatment decisions due to the extremely low coronary artery event risk associated with the former. ...
Male Middle Aged Severity of Illness Index Predictive Value of Tests Retrospective Studies Female Reproducibility of Results Aged Coronary Vessels Plaque, Atherosclerotic Vascular Calcification Asymptomatic Diseases Computed Tomography Angiography Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Observer Variation Humans Artificial Intelligence
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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...
Models, Cardiovascular Coronary Stenosis Fractional Flow Reserve, Myocardial Coronary Artery Disease Coronary Vessels Hydrodynamics Computed Tomography Angiography Severity of Illness Index Predictive Value of Tests Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Humans Machine Learning Reproducibility of Results
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Machine Learning in Intravascular Ultrasound: Validating Automated Lesion Assessment for Complex Coronary Interventions.

Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions Feb 21, 2025
BACKGROUND: Intravascular ultrasound (IVUS) is essential for assessing complex coronary lesions, but remains underutilized in part due to difficulties in image interpretation. The AVVIGO IVUS Automated Lesion Assessment (ALA) software, which uses mac...
Humans Machine Learning Retrospective Studies Female Reproducibility of Results Coronary Artery Disease Prosthesis Design Stents Image Interpretation, Computer-Assisted Treatment Outcome Aged Observer Variation Coronary Vessels Predictive Value of Tests Male Automation Ultrasonography, Interventional Middle Aged Percutaneous Coronary Intervention Severity of Illness Index
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Automated Coronary Artery Segmentation with 3D PSPNET using Global Processing and Patch Based Methods on CCTA Images.

Cardiovascular engineering and technology Feb 20, 2025
The prevalence of coronary artery disease (CAD) has become the major cause of death across the world in recent years. The accurate segmentation of coronary artery is important in clinical diagnosis and treatment of coronary artery disease (CAD) such ...
Reproducibility of Results Deep Learning Imaging, Three-Dimensional Predictive Value of Tests Coronary Angiography Humans Neural Networks, Computer Computed Tomography Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Coronary Vessels Plaque, Atherosclerotic
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Deep learning based coronary vessels segmentation in X-ray angiography using temporal information.

Medical image analysis Feb 18, 2025
Invasive coronary angiography (ICA) is the gold standard imaging modality during cardiac interventions. Accurate segmentation of coronary vessels in ICA is required for aiding diagnosis and creating treatment plans. Current automated algorithms for v...
Humans Radiographic Image Interpretation, Computer-Assisted Coronary Vessels Algorithms Deep Learning Imaging, Three-Dimensional Coronary Angiography
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TQGDNet: Coronary artery calcium deposit detection on computed tomography.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Feb 6, 2025
Coronary artery disease (CAD) continues to be a leading global cause of cardiovascular related mortality. The scoring of coronary artery calcium (CAC) using computer tomography (CT) images is a diagnostic instrument for evaluating the risk of asympto...
Vascular Calcification Humans Tomography, X-Ray Computed Radiographic Image Interpretation, Computer-Assisted Neural Networks, Computer Coronary Artery Disease Coronary Vessels
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Prediction of obstructive coronary artery disease using coronary calcification and epicardial adipose tissue assessments from CT calcium scoring scans.

Journal of cardiovascular computed tomography Feb 4, 2025
BACKGROUND: Low-cost/no-cost non-contrast CT calcium scoring (CTCS) exams can provide direct evidence of coronary atherosclerosis. In this study, using features from CTCS images, we developed a novel machine learning model to predict obstructive coro...
Coronary Artery Disease Coronary Vessels Vascular Calcification Computed Tomography Angiography Severity of Illness Index Adipose Tissue Predictive Value of Tests Coronary Angiography Pericardium Epicardial Adipose Tissue Prognosis Female Reproducibility of Results Risk Factors Aged Male Middle Aged Risk Assessment Humans Machine Learning Decision Support Techniques
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A continuous-action deep reinforcement learning-based agent for coronary artery centerline extraction in coronary CT angiography images.

Medical & biological engineering & computing Jan 31, 2025
The lumen centerline of the coronary artery allows vessel reconstruction used to detect stenoses and plaques. Discrete-action-based centerline extraction methods suffer from artifacts and plaques. This study aimed to develop a continuous-action-based...
Image Processing, Computer-Assisted Humans Coronary Angiography Algorithms Coronary Artery Disease Coronary Vessels Deep Learning Reinforcement Machine Learning Artifacts Computed Tomography Angiography
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Segmentation of coronary artery and calcification using prior knowledge based deep learning framework.

Medical physics Jan 29, 2025
BACKGROUND: Computed tomography angiography (CTA) is used to screen for coronary artery calcification. As the coronary artery has complicated structure and tiny lumen, manual screening is a time-consuming task. Recently, many deep learning methods ha...
Coronary Artery Disease Coronary Vessels Humans Vascular Calcification Deep Learning Computed Tomography Angiography Image Processing, Computer-Assisted Calcinosis
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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 Artery Disease Coronary Vessels Coronary Stenosis Severity of Illness Index Predictive Value of Tests Coronary Angiography Humans Radiographic Image Interpretation, Computer-Assisted Artificial Intelligence Reproducibility of Results Retrospective Studies Aged Female Male Middle Aged
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