AIMC Topic: 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 Predictive Value of Tests Stroke Carotid Arteries Plaque, Atherosclerotic Carotid Artery, Internal Carotid Stenosis Male Cardiovascular Diseases Risk Assessment Deep Learning Ultrasonography
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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...
Calcium Computed Tomography Angiography Humans Prognosis Coronary Vessels Middle Aged Artificial Intelligence Myocardial Ischemia Coronary Stenosis Machine Learning Diagnosis, Computer-Assisted Risk Fractional Flow Reserve, Myocardial Algorithms Image Processing, Computer-Assisted Plaque, Atherosclerotic Phenotype Coronary Artery Disease
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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 Radiographic Image Interpretation, Computer-Assisted Stroke Heart Disease Risk Factors Plaque, Atherosclerotic Carotid Stenosis Aged Cross-Sectional Studies Male Middle Aged Risk Assessment Diagnosis, Computer-Assisted Pilot Projects Ultrasonography Support Vector Machine Machine Learning Predictive Value of Tests Humans Decision Support Techniques Coronary Angiography Prognosis Female Reproducibility of Results
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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.
Humans Tomography, X-Ray Computed Deep Learning Abdomen Aorta, Abdominal Plaque, Atherosclerotic
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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.
Aged Male Middle Aged Severity of Illness Index Clinical Competence Humans Machine Learning Retrospective Studies Female Reproducibility of Results Coronary Vessels Plaque, Atherosclerotic Vascular Calcification Computed Tomography Angiography Predictive Value of Tests Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Observer Variation
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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...
Humans Machine Learning Female Risk Factors Biomechanical Phenomena Male Middle Aged Models, Cardiovascular Coronary Angiography Ultrasonography Ultrasonography, Interventional ROC Curve Linear Models Imaging, Three-Dimensional Coronary Vessels Support Vector Machine Plaque, Atherosclerotic Area Under Curve
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Ischemia and outcome prediction by cardiac CT based machine learning.

The international journal of cardiovascular imaging Jul 4, 2020
Cardiac CT using non-enhanced coronary artery calcium scoring (CACS) and coronary CT angiography (cCTA) has been proven to provide excellent evaluation of coronary artery disease (CAD) combining anatomical and morphological assessment of CAD for card...
Heart Disease Risk Factors Coronary Vessels Plaque, Atherosclerotic Vascular Calcification Computed Tomography Angiography Humans Machine Learning Prognosis Reproducibility of Results Risk Assessment Severity of Illness Index Predictive Value of Tests Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease
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From CT to artificial intelligence for complex assessment of plaque-associated risk.

The international journal of cardiovascular imaging Jul 2, 2020
The recent technological developments in the field of cardiac imaging have established coronary computed tomography angiography (CCTA) as a first-line diagnostic tool in patients with suspected coronary artery disease (CAD). CCTA offers robust inform...
Severity of Illness Index Predictive Value of Tests Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Heart Disease Risk Factors Coronary Vessels Rupture, Spontaneous Plaque, Atherosclerotic Computed Tomography Angiography Coronary Stenosis Humans Machine Learning Prognosis Reproducibility of Results Risk Assessment
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The impact of iterative reconstruction algorithms on machine learning-based coronary CT angiography-derived fractional flow reserve (CT-FFR) values.

The international journal of cardiovascular imaging Mar 4, 2020
To evaluate the impact of an iterative reconstruction (IR) algorithm (advanced modeled iterative reconstruction, ADMIRE) on machine learning-based coronary computed tomography angiography-derived fractional flow reserve (CT-FFR) measurements compared...
Vascular Calcification Computed Tomography Angiography Coronary Stenosis Fractional Flow Reserve, Myocardial Radiographic Image Interpretation, Computer-Assisted Humans Coronary Artery Disease Observer Variation Machine Learning Coronary Vessels Retrospective Studies Plaque, Atherosclerotic Female Male Reproducibility of Results Middle Aged Aged Severity of Illness Index Predictive Value of Tests Coronary Angiography
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Machine Learning Framework to Identify Individuals at Risk of Rapid Progression of Coronary Atherosclerosis: From the PARADIGM Registry.

Journal of the American Heart Association Feb 22, 2020
Background Rapid coronary plaque progression (RPP) is associated with incident cardiovascular events. To date, no method exists for the identification of individuals at risk of RPP at a single point in time. This study integrated coronary computed to...
Diagnosis, Computer-Assisted Time Factors Predictive Value of Tests Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Female Aged Male Middle Aged Disease Progression Humans Registries Machine Learning Coronary Artery Disease Prospective Studies Multidetector Computed Tomography Plaque, Atherosclerotic Computed Tomography Angiography
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