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Plaque, Atherosclerotic

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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.
Tomography, X-Ray Computed Deep Learning Abdomen Aorta, Abdominal Plaque, Atherosclerotic Humans
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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.
Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Observer Variation Coronary Vessels Middle Aged Severity of Illness Index Clinical Competence Humans Predictive Value of Tests Machine Learning Reproducibility of Results Plaque, Atherosclerotic Aged Vascular Calcification Male Computed Tomography Angiography 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...
Ultrasonography, Interventional Linear Models Coronary Vessels Plaque, Atherosclerotic Models, Cardiovascular Female Risk Factors Imaging, Three-Dimensional Biomechanical Phenomena Support Vector Machine Humans Area Under Curve Machine Learning Coronary Angiography Male Middle Aged Ultrasonography ROC 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...
Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Heart Disease Risk Factors Coronary Vessels Risk Assessment Severity of Illness Index Predictive Value of Tests Coronary Angiography Plaque, Atherosclerotic Vascular Calcification Computed Tomography Angiography Machine Learning Prognosis Reproducibility of Results Humans
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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...
Machine Learning Prognosis Reproducibility of Results Risk Assessment Severity of Illness Index Humans Computed Tomography Angiography Coronary Stenosis Predictive Value of Tests Heart Disease Risk Factors Coronary Angiography Coronary Vessels Radiographic Image Interpretation, Computer-Assisted Rupture, Spontaneous Coronary Artery Disease Plaque, Atherosclerotic
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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...
Aged Male Middle Aged Severity of Illness Index Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Observer Variation Machine Learning Retrospective Studies Female Coronary Stenosis Reproducibility of Results Fractional Flow Reserve, Myocardial Coronary Vessels Humans Plaque, Atherosclerotic Vascular Calcification Computed Tomography Angiography 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...
Multidetector Computed Tomography Plaque, Atherosclerotic Computed Tomography Angiography Prospective Studies Female Aged Male Middle Aged Predictive Value of Tests Humans Disease Progression Machine Learning Radiographic Image Interpretation, Computer-Assisted Coronary Angiography Diagnosis, Computer-Assisted Registries Time Factors Coronary Artery Disease
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Detecting vulnerable plaque with vulnerability index based on convolutional neural networks.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Feb 19, 2020
Plaque rupture and subsequent thrombosis are major processes of acute cardiovascular events. The Vulnerability Index is a very important indicator of whether a plaque is ruptured, and these easily ruptured or fragile plaques can be detected early. Th...
Plaque, Atherosclerotic Rupture Risk Assessment Humans Coronary Artery Disease Neural Networks, Computer Endosonography
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Fully automated plaque characterization in intravascular OCT images using hybrid convolutional and lumen morphology features.

Scientific reports Feb 13, 2020
For intravascular OCT (IVOCT) images, we developed an automated atherosclerotic plaque characterization method that used a hybrid learning approach, which combined deep-learning convolutional and hand-crafted, lumen morphological features. Processing...
Deep Learning Image Processing, Computer-Assisted Tomography, Optical Coherence Plaque, Atherosclerotic Humans Diagnosis, Computer-Assisted
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Bimodal Automated Carotid Ultrasound Segmentation Using Geometrically Constrained Deep Neural Networks.

IEEE journal of biomedical and health informatics Jan 9, 2020
For asymptomatic patients suffering from carotid stenosis, the assessment of plaque morphology is an important clinical task which allows monitoring of the risk of plaque rupture and future incidents of stroke. Ultrasound Imaging provides a safe and ...
Image Interpretation, Computer-Assisted Carotid Arteries Plaque, Atherosclerotic Sensitivity and Specificity Humans Middle Aged Carotid Stenosis Neural Networks, Computer Deep Learning Aged Ultrasonography Aged, 80 and over
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