AIMC Topic: Plaque, Atherosclerotic

Clear Filters Showing 111 to 120 of 140 articles

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...
Plaque, Atherosclerotic Blood Flow Velocity Mice, Transgenic Apolipoproteins E Mice Support Vector Machine Magnetic Resonance Imaging Mice, Inbred C57BL Animals Decision Making Male Machine Learning Lipids Disease Progression Algorithms Predictive Value of Tests Ultrasonography Reproducibility of Results Ultrasonography, Doppler Sensitivity and Specificity Carotid Arteries
View on PubMed DOI

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 ...
Carotid Arteries Humans Plaque, Atherosclerotic Neural Networks, Computer Carotid Artery Diseases Ultrasonography Image Processing, Computer-Assisted
View on PubMed DOI

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...
Humans Neural Networks, Computer Research Design Ultrasonography Image Interpretation, Computer-Assisted Coronary Vessels Plaque, Atherosclerotic Pathology, Clinical Adventitia
View on PubMed DOI

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...
Humans Coronary Vessels Carotid Intima-Media Thickness Machine Learning Carotid Arteries Algorithms Male Plaque, Atherosclerotic Retrospective Studies Middle Aged Computational Biology Reproducibility of Results Female Risk Assessment Support Vector Machine Aged Computer-Aided Design Principal Component Analysis Aged, 80 and over Ultrasonography Coronary Artery Disease Adult
View on PubMed DOI

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
View on PubMed DOI

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...
Sensitivity and Specificity Male Acute Coronary Syndrome Middle Aged Plaque, Atherosclerotic Risk Assessment Artificial Intelligence Computed Tomography Angiography Humans Female Follow-Up Studies Reproducibility of Results Predictive Value of Tests Aged Coronary Angiography Registries Coronary Artery Disease
View on PubMed DOI

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...
Prospective Studies Female Aged Coronary Angiography Male Percutaneous Coronary Intervention Middle Aged Risk Assessment Humans Coronary Artery Disease Magnetic Resonance Imaging Plaque, Atherosclerotic Multimodal Imaging Computed Tomography Angiography Predictive Value of Tests
View on PubMed DOI

CCTA-Derived coronary plaque burden offers enhanced prognostic value over CAC scoring in suspected CAD patients.

European heart journal. Cardiovascular Imaging May 30, 2025
AIMS: To assess the prognostic utility of coronary artery calcium (CAC) scoring and coronary computed tomography angiography (CCTA)-derived quantitative plaque metrics for predicting adverse cardiovascular outcomes.
Middle Aged Risk Assessment Severity of Illness Index Predictive Value of Tests Coronary Angiography Retrospective Studies Female Aged Male Vascular Calcification Computed Tomography Angiography Cause of Death Coronary Artery Disease Proportional Hazards Models Plaque, Atherosclerotic Humans Prognosis
View on PubMed DOI

Machine learning using scRNA-seq Combined with bulk-seq to identify lactylation-related hub genes in carotid arteriosclerosis.

Scientific reports May 22, 2025
Atherosclerosis is a chronic inflammatory disease, this study aims to investigate the immune landscape in carotid atherosclerotic plaque formation and explore diagnostic biomarkers of lactylation-associated genes, so as to gain new insights into unde...
Single-Cell Analysis RNA-Seq Gene Regulatory Networks Single-Cell Gene Expression Analysis Sequence Analysis, RNA Plaque, Atherosclerotic Carotid Artery Diseases Machine Learning Biomarkers Humans Gene Expression Profiling Transcriptome
View on PubMed DOI

Machine Learning-Based Immuno-Inflammatory Index Integrating Clinical Characteristics for Predicting Coronary Artery Plaque Rupture.

Immunity, inflammation and disease Apr 1, 2025
BACKGROUND: Coronary artery plaque rupture (PR) is closely associated with immune-inflammatory responses. The systemic inflammatory index (SII) and the systemic inflammatory response index (SIRI) have shown potential in predicting the occurrence of P...
Acute Coronary Syndrome Coronary Vessels Plaque, Atherosclerotic Female Aged Male Middle Aged ROC Curve Inflammation Tomography, Optical Coherence Percutaneous Coronary Intervention Humans Coronary Artery Disease Machine Learning
View on PubMed DOI
Popular Topics
Recent Journals