AIMC Topic: Vascular Calcification

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Application of deep learning in automated localization and interpretation of coronary artery calcification in oncological PET/CT scans.

The international journal of cardiovascular imaging Jan 13, 2025
Coronary artery calcification (CAC) is a key marker of coronary artery disease (CAD) but is often underreported in cancer patients undergoing non-gated CT or PET/CT scans. Traditional CAC assessment requires gated CT scans, leading to increased radia...
Coronary Vessels Female Vascular Calcification Reproducibility of Results Aged Positron Emission Tomography Computed Tomography Male Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Middle Aged Automation Neoplasms Deep Learning Predictive Value of Tests Coronary Angiography Humans Retrospective Studies
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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...
Risk Assessment Deep Learning Predictive Value of Tests Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Heart Ventricles Vascular Calcification Asymptomatic Diseases Tomography, X-Ray Computed Female Aged Male Middle Aged Humans Artificial Intelligence Prognosis
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Deep learning and radiomics-based vascular calcification characterization in dental cone beam computed tomography as a predictive tool for cardiovascular disease: a proof-of-concept study.

Oral surgery, oral medicine, oral pathology and oral radiology Dec 18, 2024
OBJECTIVES: This study evaluated an automated deep learning method for detecting calcifications in the extracranial and intracranial carotid arteries and vertebral arteries in cone beam computed tomography (CBCT) scans. Additionally, a model utilizin...
Aged Radiomics Male Cardiovascular Diseases Middle Aged Deep Learning Cone-Beam Computed Tomography Predictive Value of Tests Proof of Concept Study Humans Female Vascular Calcification
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Artificial intelligence-derived coronary artery calcium scoring saves time and achieves close to radiologist-level accuracy accuracy on routine ECG-gated CT.

The international journal of cardiovascular imaging Dec 16, 2024
Artificial Intelligence (AI) has been proposed to improve workflow for coronary artery calcium scoring (CACS), but simultaneous demonstration of improved efficiency, accuracy, and clinical stability have not been demonstrated. 148 sequential patients...
Computed Tomography Angiography Cardiac-Gated Imaging Techniques Observer Variation Coronary Vessels Multidetector Computed Tomography Vascular Calcification Severity of Illness Index Time Factors Electrocardiography Predictive Value of Tests Coronary Angiography Radiologists Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Workflow Reproducibility of Results Aged Male Middle Aged Humans Artificial Intelligence Retrospective Studies Female
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Quantification of coronary artery calcification in systemic sclerosis using visual ordinal and deep learning scoring: Association with systemic sclerosis clinical features.

Seminars in arthritis and rheumatism Nov 20, 2024
OBJECTIVE: To investigate the association between systemic sclerosis (SSc) clinical features and the extent and progression of coronary artery calcifications.
Male Middle Aged Disease Progression Severity of Illness Index Deep Learning Humans Coronary Artery Disease Retrospective Studies Vascular Calcification Female Scleroderma, Systemic Aged Adult
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Impact of tooth loss and patient characteristics on coronary artery calcium score classification and prediction.

Scientific reports Nov 16, 2024
This study, for the first time, explores the integration of data science and machine learning for the classification and prediction of coronary artery calcium (CAC) scores. It focuses on tooth loss and patient characteristics as key input features to...
Coronary Vessels Vascular Calcification Tooth Loss Male Machine Learning Middle Aged Humans Female Coronary Artery Disease Risk Factors Calcium Aged Adult
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Evaluation of a deep learning-based software to automatically detect and quantify breast arterial calcifications on digital mammogram.

Diagnostic and interventional imaging Oct 26, 2024
PURPOSE: The purpose of this study was to evaluate an artificial intelligence (AI) software that automatically detects and quantifies breast arterial calcifications (BAC).
Sensitivity and Specificity Female Radiographic Image Interpretation, Computer-Assisted Middle Aged Aged Breast Humans Aged, 80 and over Vascular Calcification Deep Learning Software Adult Breast Diseases Mammography Retrospective Studies Tomography, X-Ray Computed
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Detection of carotid plaques on panoramic radiographs using deep learning.

Journal of dentistry Oct 24, 2024
OBJECTIVES: Panoramic radiographs (PRs) can reveal an incidental finding of atherosclerosis, or carotid artery calcification (CAC), in 3-15% of examined patients. However, limited training in identification of such calcifications among dental profess...
Humans Neural Networks, Computer Female Radiography, Panoramic Carotid Arteries Plaque, Atherosclerotic Vascular Calcification Carotid Artery Diseases Aged Male Middle Aged Deep Learning
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Meta-analysis of deep learning approaches for automated coronary artery calcium scoring: Performance and clinical utility AI in CAC scoring: A meta-analysis: AI in CAC scoring: A meta-analysis.

Computers in biology and medicine Oct 23, 2024
INTRODUCTION: Manual Coronary Artery Calcium (CAC) scoring, crucial for assessing coronary artery disease risk, is time-consuming and variable. Deep learning, particularly through Convolutional Neural Networks (CNNs), promises to automate and enhance...
Calcium Coronary Vessels Vascular Calcification Humans Artificial Intelligence Deep Learning Coronary Artery Disease
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Automated AI-based coronary calcium scoring using retrospective CT data from SCAPIS is accurate and correlates with expert scoring.

European radiology Oct 18, 2024
OBJECTIVES: Evaluation of the correlation and agreement between AI and semi-automatic evaluations of calcium scoring CT (CSCT) examinations using extensive data from the Swedish CardioPulmonary bio-Image study (SCAPIS).
Humans Artificial Intelligence Retrospective Studies Male Tomography, X-Ray Computed Middle Aged Female Radiographic Image Interpretation, Computer-Assisted Reproducibility of Results Coronary Artery Disease Sweden Vascular Calcification
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