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Plaque, Atherosclerotic

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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 38716195
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...
Agammaglobulinaemia Tyrosine Kinase Algorithms Antigens, CD Antigens, Differentiation, Myelomonocytic Atherosclerosis Biomarkers CD68 Molecule Gastrointestinal Microbiome Gene Expression Profiling Gene Regulatory Networks Humans Interferon Regulatory Factors Machine Learning Macrophages Plaque, Atherosclerotic Receptors, CCR1 Single-Cell Analysis
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A Video-based Automated Tracking and Analysis System of Plaque Burden in Carotid Artery Using Deep Learning: A Comparison with Senior Sonographers.

Current medical imaging 38639284
BACKGROUND AND OBJECTIVE: The incidence of stroke is rising, and it is the second major cause of mortality and the third leading cause of disability around the globe. The goal of this study was to rapidly and accurately identify carotid plaques and a...
Aged Carotid Arteries Carotid Artery Diseases Deep Learning Female Humans Male Middle Aged Plaque, Atherosclerotic Ultrasonography Video Recording
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Validation of a fully automated deep learning-enabled solution for CCTA atherosclerotic plaque and stenosis quantification in a diverse real-world cohort.

Journal of cardiovascular computed tomography 38553402
Aged Automation Computed Tomography Angiography Coronary Angiography Coronary Artery Disease Coronary Stenosis Coronary Vessels Deep Learning Female Humans Male Middle Aged Plaque, Atherosclerotic Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted Reproducibility of Results Retrospective Studies Severity of Illness Index
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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 38678144
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...
Aged Canada Carotid Arteries Carotid Artery Diseases Carotid Intima-Media Thickness Coronary Angiography Coronary Artery Disease Decision Support Techniques Deep Learning Female Heart Disease Risk Factors Humans Image Interpretation, Computer-Assisted Male Middle Aged Plaque, Atherosclerotic Predictive Value of Tests Prognosis Risk Assessment Risk Factors Time Factors
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A deep learning-based calculation system for plaque stenosis severity on common carotid artery of ultrasound images.

Vascular 38656244
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...
Aged Carotid Artery, Common Carotid Intima-Media Thickness Carotid Stenosis Deep Learning Female Humans Image Interpretation, Computer-Assisted Male Middle Aged Observer Variation Plaque, Atherosclerotic Predictive Value of Tests Reproducibility of Results Severity of Illness Index Ultrasonography
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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 38634943
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...
Aged Computed Tomography Angiography Coronary Angiography Coronary Artery Disease Coronary Vessels Deep Learning Female Humans Male Middle Aged Plaque, Atherosclerotic Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted Reproducibility of Results Retrospective Studies Software Ultrasonography, Interventional
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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 38630211
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...
Aged Artificial Intelligence Computed Tomography Angiography Coronary Angiography Coronary Artery Disease Coronary Stenosis Coronary Vessels Female Humans Male Middle Aged Multidetector Computed Tomography Observer Variation Plaque, Atherosclerotic Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted Reproducibility of Results Severity of Illness Index Vascular Calcification
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Artificial Intelligence-Enabled Quantitative Coronary Plaque and Hemodynamic Analysis for Predicting Acute Coronary Syndrome.

JACC. Cardiovascular imaging 38752951
BACKGROUND: A lesion-level risk prediction for acute coronary syndrome (ACS) needs better characterization.
Acute Coronary Syndrome Aged Artificial Intelligence Computed Tomography Angiography Coronary Angiography Coronary Artery Disease Coronary Circulation Coronary Vessels Female Hemodynamics Humans Male Middle Aged Multidetector Computed Tomography Plaque, Atherosclerotic Predictive Value of Tests Prognosis Radiographic Image Interpretation, Computer-Assisted Reproducibility of Results Risk Assessment Risk Factors Rupture, Spontaneous Severity of Illness Index Time Factors
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Radiomics and artificial intelligence: General notions and applications in the carotid vulnerable plaque.

European journal of radiology 38749095
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...
Artificial Intelligence Carotid Artery Diseases Humans Image Interpretation, Computer-Assisted Plaque, Atherosclerotic Radiomics
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Prospective deep learning-based quantitative assessment of coronary plaque by computed tomography angiography compared with intravascular ultrasound: the REVEALPLAQUE study.

European heart journal. Cardiovascular Imaging 38700097
AIMS: Coronary computed tomography angiography provides non-invasive assessment of coronary stenosis severity and flow impairment. Automated artificial intelligence (AI) analysis may assist in precise quantification and characterization of coronary a...
Aged Computed Tomography Angiography Coronary Angiography Coronary Artery Disease Deep Learning Female Humans Japan Male Middle Aged Plaque, Atherosclerotic Prospective Studies Severity of Illness Index Ultrasonography, Interventional
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