AIMC Topic: Plaque, Atherosclerotic

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Predicting plaque vulnerability change using intravascular ultrasound + optical coherence tomography image-based fluid-structure interaction models and machine learning methods with patient follow-up data: a feasibility study.

Biomedical engineering online Apr 6, 2021
BACKGROUND: Coronary plaque vulnerability prediction is difficult because plaque vulnerability is non-trivial to quantify, clinically available medical image modality is not enough to quantify thin cap thickness, prediction methods with high accuraci...
Tomography, Optical Coherence Ultrasonography, Interventional Coronary Artery Disease Feasibility Studies Plaque, Atherosclerotic Humans Machine Learning Image Processing, Computer-Assisted Follow-Up Studies
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Intravascular ultrasound-based deep learning for plaque characterization in coronary artery disease.

Atherosclerosis Mar 29, 2021
BACKGROUND AND AIMS: Although plaque characterization by intravascular ultrasound (IVUS) is important for risk stratification, frame-by-frame analysis of a whole vascular segment is time-consuming. The aim was to develop IVUS-based algorithms for cla...
Coronary Angiography Ultrasonography, Interventional Coronary Artery Disease Coronary Vessels Plaque, Atherosclerotic Humans Deep Learning
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Virtual Transcriptomics: Noninvasive Phenotyping of Atherosclerosis by Decoding Plaque Biology From Computed Tomography Angiography Imaging.

Arteriosclerosis, thrombosis, and vascular biology Mar 11, 2021
[Figure: see text].
Coronary Artery Disease Feasibility Studies Coronary Vessels Plaque, Atherosclerotic Oligonucleotide Array Sequence Analysis Models, Genetic Humans Predictive Value of Tests Artificial Intelligence Coronary Angiography Aged Phenotype Computed Tomography Angiography Radiographic Image Interpretation, Computer-Assisted Male Female Gene Expression Profiling Transcriptome Pilot Projects
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Automated Histological Segmentation on Micro Computed Tomography Images of Atherosclerotic Arteries.

European journal of vascular and endovascular surgery : the official journal of the European Society for Vascular Surgery Feb 13, 2021
Humans Radiographic Image Interpretation, Computer-Assisted Feasibility Studies Automation Plaque, Atherosclerotic Computed Tomography Angiography Artificial Intelligence Reproducibility of Results Peripheral Arterial Disease Predictive Value of Tests Arteries X-Ray Microtomography
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Ultrasound-based internal carotid artery plaque characterization using deep learning paradigm on a supercomputer: a cardiovascular disease/stroke risk assessment system.

The international journal of cardiovascular imaging Jan 9, 2021
Visual or manual characterization and classification of atherosclerotic plaque lesions are tedious, error-prone, and time-consuming. The purpose of this study is to develop and design an automated carotid plaque characterization and classification sy...
Carotid Arteries Plaque, Atherosclerotic Carotid Artery, Internal Carotid Stenosis Deep Learning Ultrasonography Predictive Value of Tests Stroke Humans Artificial Intelligence Female Aged Male Cardiovascular Diseases Risk Assessment
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Artificial Intelligence in Coronary Computed Tomography Angiography: From Anatomy to Prognosis.

BioMed research international Dec 16, 2020
Cardiac computed tomography angiography (CCTA) is widely used as a diagnostic tool for evaluation of coronary artery disease (CAD). Despite the excellent capability to rule-out CAD, CCTA may overestimate the degree of stenosis; furthermore, CCTA anal...
Coronary Artery Disease Calcium Phenotype Coronary Vessels Humans Myocardial Ischemia Risk Prognosis Artificial Intelligence Plaque, Atherosclerotic Machine Learning Middle Aged Computed Tomography Angiography Diagnosis, Computer-Assisted Algorithms Coronary Stenosis Image Processing, Computer-Assisted Fractional Flow Reserve, Myocardial
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Multiclass machine learning vs. conventional calculators for stroke/CVD risk assessment using carotid plaque predictors with coronary angiography scores as gold standard: a 500 participants study.

The international journal of cardiovascular imaging Nov 12, 2020
Machine learning (ML)-based algorithms for cardiovascular disease (CVD) risk assessment have shown promise in clinical decisions. However, they usually predict binary events using only conventional risk factors. Our overall goal was to develop the "m...
Carotid Stenosis Coronary Stenosis Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Stroke Pilot Projects Heart Disease Risk Factors Ultrasonography Plaque, Atherosclerotic Decision Support Techniques Support Vector Machine Prognosis Predictive Value of Tests Cross-Sectional Studies Female Humans Male Reproducibility of Results Machine Learning Middle Aged Aged Risk Assessment Diagnosis, Computer-Assisted
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Atherosclerotic Plaque Burden on Abdominal CT: Automated Assessment With Deep Learning on Noncontrast and Contrast-enhanced Scans.

Academic radiology Sep 18, 2020
BACKGROUND: Abdominal aortic atherosclerotic plaque burden may have clinical significance but manual measurement is time-consuming and impractical.
Abdomen Aorta, Abdominal Humans Plaque, Atherosclerotic Tomography, X-Ray Computed Deep Learning
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Effect of vessel wall segmentation on volumetric and radiomic parameters of coronary plaques with adverse characteristics.

Journal of cardiovascular computed tomography Aug 10, 2020
BACKGROUND: Quantitative coronary plaque parameters are increasingly being utilized as surrogate endpoints of pharmaceutical trials. However, little is known whether differences in segmentation significantly alter parameter values.
Clinical Competence Predictive Value of Tests Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Observer Variation Coronary Vessels Plaque, Atherosclerotic Vascular Calcification Reproducibility of Results Aged Male Humans Computed Tomography Angiography Middle Aged Machine Learning Severity of Illness Index Retrospective Studies Female
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Using intravascular ultrasound image-based fluid-structure interaction models and machine learning methods to predict human coronary plaque vulnerability change.

Computer methods in biomechanics and biomedical engineering Jul 22, 2020
Plaque vulnerability prediction is of great importance in cardiovascular research. In vivo follow-up intravascular ultrasound (IVUS) coronary plaque data were acquired from nine patients to construct fluid-structure interaction models to obtain plaqu...
Biomechanical Phenomena Male Middle Aged Ultrasonography ROC Curve Humans Machine Learning Female Risk Factors Ultrasonography, Interventional Imaging, Three-Dimensional Linear Models Support Vector Machine Coronary Vessels Area Under Curve Plaque, Atherosclerotic Coronary Angiography Models, Cardiovascular
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