AIMC Topic: Plaque, Atherosclerotic

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Automated classification of coronary atherosclerotic plaque in optical frequency domain imaging based on deep learning.

Atherosclerosis Jun 7, 2021
BACKGROUND AND AIMS: We developed a deep learning (DL) model for automated atherosclerotic plaque categorization using optical frequency domain imaging (OFDI) and performed quantitative and visual evaluations.
Deep Learning Tomography, Optical Coherence Coronary Artery Disease Coronary Vessels Plaque, Atherosclerotic Humans
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A deep learning-based model for characterization of atherosclerotic plaque in coronary arteries using optical coherence tomography  images.

Medical physics May 24, 2021
PURPOSE: Coronary artery events are mainly associated with atherosclerosis in adult population, which is recognized as accumulation of plaques in arterial wall tissues. Optical Coherence Tomography (OCT) is a light-based imaging system used in cardio...
Adult Coronary Artery Disease Cross-Sectional Studies Coronary Vessels Humans Deep Learning Plaque, Atherosclerotic Tomography, Optical Coherence
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Machine Learning with F-Sodium Fluoride PET and Quantitative Plaque Analysis on CT Angiography for the Future Risk of Myocardial Infarction.

Journal of nuclear medicine : official publication, Society of Nuclear Medicine Apr 23, 2021
Coronary F-sodium fluoride (F-NaF) PET and CT angiography-based quantitative plaque analysis have shown promise in refining risk stratification in patients with coronary artery disease. We combined both of these novel imaging approaches to develop an...
Humans Machine Learning Female Aged Sodium Fluoride Computed Tomography Angiography Coronary Artery Disease Male Myocardial Infarction Middle Aged Fluorine Radioisotopes Image Processing, Computer-Assisted Plaque, Atherosclerotic Positron Emission Tomography Computed Tomography
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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...
Coronary Artery Disease Feasibility Studies Plaque, Atherosclerotic Humans Image Processing, Computer-Assisted Machine Learning Follow-Up Studies Tomography, Optical Coherence Ultrasonography, Interventional
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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 Vessels Plaque, Atherosclerotic Deep Learning Coronary Angiography Ultrasonography, Interventional Coronary Artery Disease Humans
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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].
Predictive Value of Tests Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Gene Expression Profiling Transcriptome Pilot Projects Models, Genetic Computed Tomography Angiography Feasibility Studies Coronary Vessels Plaque, Atherosclerotic Oligonucleotide Array Sequence Analysis Humans Artificial Intelligence Phenotype Female Aged Male
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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
Computed Tomography Angiography Arteries X-Ray Microtomography Humans Artificial Intelligence Reproducibility of Results Peripheral Arterial Disease Predictive Value of Tests Feasibility Studies Radiographic Image Interpretation, Computer-Assisted Automation Plaque, Atherosclerotic
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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...
Humans Artificial Intelligence Female Aged Male Cardiovascular Diseases Risk Assessment Deep Learning Ultrasonography Carotid Arteries Predictive Value of Tests Plaque, Atherosclerotic Stroke Carotid Artery, Internal Carotid Stenosis
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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 Stenosis Image Processing, Computer-Assisted Myocardial Ischemia Phenotype Humans Fractional Flow Reserve, Myocardial Coronary Artery Disease Risk Prognosis Artificial Intelligence Calcium Plaque, Atherosclerotic Middle Aged Coronary Vessels Machine Learning Computed Tomography Angiography Diagnosis, Computer-Assisted Algorithms
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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...
Coronary Stenosis Decision Support Techniques Prognosis Female Reproducibility of Results Stroke Heart Disease Risk Factors Support Vector Machine Humans Plaque, Atherosclerotic Predictive Value of Tests Machine Learning Risk Assessment Carotid Stenosis Aged Coronary Angiography Diagnosis, Computer-Assisted Cross-Sectional Studies Radiographic Image Interpretation, Computer-Assisted Pilot Projects Male Ultrasonography Middle Aged
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