AIMC Topic: Plaque, Atherosclerotic

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Integrated prediction of lesion-specific ischaemia from quantitative coronary CT angiography using machine learning: a multicentre study.

European radiology Jan 19, 2018
OBJECTIVES: We aimed to investigate if lesion-specific ischaemia by invasive fractional flow reserve (FFR) can be predicted by an integrated machine learning (ML) ischaemia risk score from quantitative plaque measures from coronary computed tomograph...
Hemodynamics Coronary Angiography Coronary Artery Disease Myocardial Ischemia Adult Male Middle Aged Severity of Illness Index Fractional Flow Reserve, Myocardial Plaque, Atherosclerotic Vascular Calcification Computed Tomography Angiography Coronary Stenosis Female Aged Aged, 80 and over Humans Machine Learning
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Relationship of femoral artery ultrasound measures of atherosclerosis with chronic kidney disease.

Journal of vascular surgery Dec 22, 2017
BACKGROUND: Chronic kidney disease (CKD) is strongly associated with peripheral artery disease (PAD). Detection of subclinical PAD may allow early interventions for or prevention of PAD in persons with CKD. Whether the presence of atherosclerotic pla...
Glomerular Filtration Rate Atherosclerosis Cross-Sectional Studies Humans Male Plaque, Atherosclerotic Ultrasonography, Doppler Prospective Studies Prevalence California Femoral Artery Female Aged Renal Insufficiency, Chronic
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Framework for detection and localization of coronary non-calcified plaques in cardiac CTA using mean radial profiles.

Computers in biology and medicine Aug 1, 2017
BACKGROUND AND OBJECTIVE: The high mortality rate associated with coronary heart disease (CHD) has driven intensive research in cardiac imaging and image analysis. The advent of computed tomography angiography (CTA) has turned non-invasive diagnosis ...
Coronary Angiography Coronary Artery Disease Plaque, Atherosclerotic Computed Tomography Angiography Humans Support Vector Machine
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Contralateral artery enlargement predicts carotid plaque progression based on machine learning algorithm models in apoE mice.

Biomedical engineering online Dec 28, 2016
BACKGROUND: This study specifically focused on anatomical MRI characterization of the low shear stress-induced atherosclerotic plaque in mice. We used machine learning algorithms to analyze multiple correlation factors of plaque to generate predictiv...
Mice, Transgenic Machine Learning Disease Progression Predictive Value of Tests Algorithms Reproducibility of Results Apolipoproteins E Magnetic Resonance Imaging Ultrasonography, Doppler Carotid Arteries Sensitivity and Specificity Ultrasonography Mice, Inbred C57BL Plaque, Atherosclerotic Animals Mice Decision Making Blood Flow Velocity Male Support Vector Machine Lipids
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A Convolutional Neural Network for Automatic Characterization of Plaque Composition in Carotid Ultrasound.

IEEE journal of biomedical and health informatics Nov 22, 2016
Characterization of carotid plaque composition, more specifically the amount of lipid core, fibrous tissue, and calcified tissue, is an important task for the identification of plaques that are prone to rupture, and thus for early risk estimation of ...
Plaque, Atherosclerotic Carotid Artery Diseases Neural Networks, Computer Ultrasonography Image Processing, Computer-Assisted Carotid Arteries Humans
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An artificial neural network method for lumen and media-adventitia border detection in IVUS.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Nov 17, 2016
Intravascular ultrasound (IVUS) has been well recognized as one powerful imaging technique to evaluate the stenosis inside the coronary arteries. The detection of lumen border and media-adventitia (MA) border in IVUS images is the key procedure to de...
Neural Networks, Computer Research Design Ultrasonography Image Interpretation, Computer-Assisted Pathology, Clinical Humans Coronary Vessels Adventitia Plaque, Atherosclerotic
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PCA-based polling strategy in machine learning framework for coronary artery disease risk assessment in intravascular ultrasound: A link between carotid and coronary grayscale plaque morphology.

Computer methods and programs in biomedicine Mar 2, 2016
BACKGROUND AND OBJECTIVE: Percutaneous coronary interventional procedures need advance planning prior to stenting or an endarterectomy. Cardiologists use intravascular ultrasound (IVUS) for screening, risk assessment and stratification of coronary ar...
Aged Aged, 80 and over Adult Male Computer-Aided Design Ultrasonography Computational Biology Middle Aged Risk Assessment Algorithms Carotid Intima-Media Thickness Humans Retrospective Studies Support Vector Machine Carotid Arteries Machine Learning Female Principal Component Analysis Plaque, Atherosclerotic Reproducibility of Results Coronary Artery Disease Coronary Vessels
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Computed Tomography Advancements in Plaque Analysis: From Histology to Comprehensive Plaque Burden Assessment.

Echocardiography (Mount Kisco, N.Y.) Jul 1, 2025
Advancements in coronary computed tomography angiography (CCTA) facilitated the transition from traditional histological approaches to comprehensive plaque burden assessment. Recent updates in the European Society of Cardiology (ESC) guidelines empha...
Humans Coronary Angiography Coronary Artery Disease Coronary Vessels Plaque, Atherosclerotic Computed Tomography Angiography
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Derivation and validation of an artificial intelligence-based plaque burden safety cut-off for long-term acute coronary syndrome from coronary computed tomography angiography.

European heart journal. Cardiovascular Imaging Jun 30, 2025
AIMS: Artificial intelligence (AI) has enabled accurate and fast plaque quantification from coronary computed tomography angiography (CCTA). However, AI detects any coronary plaque in up to 97% of patients. To avoid overdiagnosis, a plaque burden saf...
Plaque, Atherosclerotic Computed Tomography Angiography Male Female Middle Aged Humans Registries Predictive Value of Tests Reproducibility of Results Risk Assessment Artificial Intelligence Coronary Artery Disease Coronary Angiography Aged Follow-Up Studies Acute Coronary Syndrome Sensitivity and Specificity
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Hybrid strategy of coronary atherosclerosis characterization with T1-weighted MRI and CT angiography to non-invasively predict periprocedural myocardial injury.

European heart journal. Cardiovascular Imaging Jun 30, 2025
AIMS: Coronary computed tomography angiography (CCTA) and magnetic resonance imaging (MRI) can predict periprocedural myocardial injury (PMI) after percutaneous coronary intervention (PCI). We aimed to investigate whether integrating MRI with CCTA, u...
Female Aged Male Middle Aged Humans Prospective Studies Coronary Angiography Percutaneous Coronary Intervention Coronary Artery Disease Plaque, Atherosclerotic Computed Tomography Angiography Risk Assessment Magnetic Resonance Imaging Multimodal Imaging Predictive Value of Tests
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