AIMC Topic: Vascular Calcification

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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...
Coronary Vessels Multidetector Computed Tomography Plaque, Atherosclerotic Vascular Calcification Computed Tomography Angiography Humans Predictive Value of Tests Coronary Angiography Artificial Intelligence Radiographic Image Interpretation, Computer-Assisted Retrospective Studies Coronary Artery Disease Female Reproducibility of Results Risk Factors Myocardial Perfusion Imaging Aged Coronary Stenosis Male Middle Aged Severity of Illness Index
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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 Coronary Angiography Artificial Intelligence Plaque, Atherosclerotic Sensitivity and Specificity Vascular Calcification Computed Tomography Angiography Coronary Stenosis
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AI-enabled opportunistic measurement of liver steatosis in coronary artery calcium scans predicts cardiovascular events and all-cause mortality: an AI-CVD study within the Multi-Ethnic Study of Atherosclerosis (MESA).

BMJ open diabetes research & care Apr 12, 2025
INTRODUCTION: About one-third of adults in the USA have some grade of hepatic steatosis. Coronary artery calcium (CAC) scans contain more information than currently reported. We previously reported new artificial intelligence (AI) algorithms applied ...
Atherosclerosis Calcium Ethnicity Coronary Vessels Vascular Calcification Fatty Liver United States Follow-Up Studies Coronary Artery Disease Artificial Intelligence Algorithms Prognosis Humans Female Risk Factors Aged Male Cardiovascular Diseases Middle Aged
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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. ...
Aged Male Middle Aged Severity of Illness Index Predictive Value of Tests Humans Artificial Intelligence Retrospective Studies Female Reproducibility of Results Coronary Vessels Coronary Angiography Plaque, Atherosclerotic Radiographic Image Interpretation, Computer-Assisted Vascular Calcification Coronary Artery Disease Asymptomatic Diseases Observer Variation Computed Tomography 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...
Coronary Vessels Humans Vascular Calcification Neural Networks, Computer Tomography, X-Ray Computed Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease
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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...
Vascular Calcification Computed Tomography Angiography Pericardium Epicardial Adipose Tissue Predictive Value of Tests Coronary Angiography Coronary Artery Disease Coronary Vessels Prognosis Female Reproducibility of Results Risk Factors Aged Male Middle Aged Humans Risk Assessment Machine Learning Severity of Illness Index Decision Support Techniques Adipose Tissue
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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...
Calcinosis Humans Coronary Artery Disease Deep Learning Coronary Vessels Image Processing, Computer-Assisted Vascular Calcification Computed Tomography Angiography
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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...
Predictive Value of Tests Coronary Angiography Positron Emission Tomography Computed Tomography Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Automation Coronary Vessels Vascular Calcification Aged Male Middle Aged Neoplasms Deep Learning Humans Retrospective Studies Female Reproducibility of Results
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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...
Predictive Value of Tests Coronary Angiography Humans Male Vascular Calcification Artificial Intelligence Radiographic Image Interpretation, Computer-Assisted Middle Aged Asymptomatic Diseases Prognosis Coronary Artery Disease Risk Assessment Tomography, X-Ray Computed Heart Ventricles Deep Learning Female Aged
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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...
Predictive Value of Tests Male Humans Proof of Concept Study Cardiovascular Diseases Vascular Calcification Female Middle Aged Aged Deep Learning Radiomics Cone-Beam Computed Tomography
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