AIMC Topic: Plaque, Atherosclerotic

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Development of machine learning models for fractional flow reserve prediction in angiographically intermediate coronary lesions.

Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions Aug 1, 2024
BACKGROUND: Fractional flow reserve (FFR) represents the gold standard in guiding the decision to proceed or not with coronary revascularization of angiographically intermediate coronary lesion (AICL). Optical coherence tomography (OCT) allows to car...
Databases, Factual Female Reproducibility of Results Aged Male Middle Aged Humans Software Decision Support Techniques Supervised Machine Learning Coronary Vessels Plaque, Atherosclerotic Cardiac Catheterization Severity of Illness Index Coronary Stenosis Predictive Value of Tests Fractional Flow Reserve, Myocardial Tomography, Optical Coherence Coronary Angiography Coronary Artery Disease
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Machine Learning Detects Symptomatic Plaques in Patients With Carotid Atherosclerosis on CT Angiography.

Circulation. Cardiovascular imaging Jun 18, 2024
BACKGROUND: This study aimed to develop and validate a computed tomography angiography based machine learning model that uses plaque composition data and degree of carotid stenosis to detect symptomatic carotid plaques in patients with carotid athero...
Carotid Stenosis Carotid Artery Diseases Retrospective Studies Female Middle Aged Humans Reproducibility of Results Severity of Illness Index Machine Learning Aged Predictive Value of Tests Male Carotid Arteries Plaque, Atherosclerotic Computed Tomography Angiography
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Artificial Intelligence-Enabled Quantitative Coronary Plaque and Hemodynamic Analysis for Predicting Acute Coronary Syndrome.

JACC. Cardiovascular imaging May 15, 2024
BACKGROUND: A lesion-level risk prediction for acute coronary syndrome (ACS) needs better characterization.
Aged Male Middle Aged Risk Assessment Severity of Illness Index Artificial Intelligence Prognosis Female Reproducibility of Results Risk Factors Coronary Artery Disease Acute Coronary Syndrome Coronary Vessels Rupture, Spontaneous Multidetector Computed Tomography Plaque, Atherosclerotic Hemodynamics Time Factors Predictive Value of Tests Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Humans Computed Tomography Angiography Coronary Circulation
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Deep learning-based fully automatic screening of carotid artery plaques in computed tomography angiography: a multicenter study.

Clinical radiology May 6, 2024
AIM: To develop and validate a deep learning (DL) algorithm for the automated detection and classification of carotid artery plaques (CAPs) on computed tomography angiography (CTA) images.
Sensitivity and Specificity Male Middle Aged Deep Learning Radiographic Image Interpretation, Computer-Assisted Humans Carotid Arteries Retrospective Studies Plaque, Atherosclerotic Female Computed Tomography Angiography Aged Carotid Stenosis Carotid Artery Diseases
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Radiomics and artificial intelligence: General notions and applications in the carotid vulnerable plaque.

European journal of radiology May 6, 2024
Carotid atherosclerosis plays a substantial role in cardiovascular morbidity and mortality. Given the multifaceted impact of this disease, there has been increasing interest in harnessing artificial intelligence (AI) and radiomics as complementary to...
Image Interpretation, Computer-Assisted Humans Plaque, Atherosclerotic Artificial Intelligence Radiomics Carotid Artery Diseases
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Deep learning approach for cardiovascular disease risk stratification and survival analysis on a Canadian cohort.

The international journal of cardiovascular imaging Apr 28, 2024
The quantification of carotid plaque has been routinely used to predict cardiovascular risk in cardiovascular disease (CVD) and coronary artery disease (CAD). To determine how well carotid plaque features predict the likelihood of CAD and cardiovascu...
Deep Learning Time Factors Canada Humans Predictive Value of Tests Decision Support Techniques Coronary Angiography Risk Factors Prognosis Plaque, Atherosclerotic Coronary Artery Disease Aged Female Heart Disease Risk Factors Male Carotid Artery Diseases Image Interpretation, Computer-Assisted Middle Aged Carotid Intima-Media Thickness Risk Assessment Carotid Arteries
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A deep learning-based calculation system for plaque stenosis severity on common carotid artery of ultrasound images.

Vascular Apr 24, 2024
ObjectivesAssessment of plaque stenosis severity allows better management of carotid source of stroke. Our objective is to create a deep learning (DL) model to segment carotid intima-media thickness and plaque and further automatically calculate plaq...
Plaque, Atherosclerotic Carotid Stenosis Humans Female Predictive Value of Tests Male Reproducibility of Results Image Interpretation, Computer-Assisted Middle Aged Aged Observer Variation Severity of Illness Index Carotid Intima-Media Thickness Deep Learning Carotid Artery, Common Ultrasonography
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Integrating machine learning algorithms and single-cell analysis to identify gut microbiota-related macrophage biomarkers in atherosclerotic plaques.

Frontiers in cellular and infection microbiology Apr 23, 2024
OBJECTIVE: The relationship between macrophages and the gut microbiota in patients with atherosclerosis remains poorly defined, and effective biological markers are lacking. This study aims to elucidate the interplay between gut microbial communities...
Gene Expression Profiling Single-Cell Analysis Gene Regulatory Networks Receptors, CCR1 Humans Gastrointestinal Microbiome CD68 Molecule Machine Learning Antigens, CD Algorithms Macrophages Biomarkers Atherosclerosis Plaque, Atherosclerotic Agammaglobulinaemia Tyrosine Kinase Antigens, Differentiation, Myelomonocytic Interferon Regulatory Factors
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A comparative analysis of deep learning-based location-adaptive threshold method software against other commercially available software.

The international journal of cardiovascular imaging Apr 18, 2024
Automatic segmentation of the coronary artery using coronary computed tomography angiography (CCTA) images can facilitate several analyses related to coronary artery disease (CAD). Accurate segmentation of the lumen or plaque region is one of the mos...
Humans Software Retrospective Studies Female Reproducibility of Results Coronary Vessels Aged Plaque, Atherosclerotic Male Computed Tomography Angiography Middle Aged Deep Learning Predictive Value of Tests Coronary Angiography Ultrasonography, Interventional Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease
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Assessment of atherosclerotic plaque burden: comparison of AI-QCT versus SIS, CAC, visual and CAD-RADS stenosis categories.

The international journal of cardiovascular imaging Apr 17, 2024
This study assesses the agreement of Artificial Intelligence-Quantitative Computed Tomography (AI-QCT) with qualitative approaches to atherosclerotic disease burden codified in the multisociety 2022 CAD-RADS 2.0 Expert Consensus. 105 patients who und...
Coronary Stenosis Female Coronary Vessels Reproducibility of Results Multidetector Computed Tomography Aged Plaque, Atherosclerotic Male Vascular Calcification Humans Severity of Illness Index Middle Aged Computed Tomography Angiography Artificial Intelligence Predictive Value of Tests Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Observer Variation
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