AIMC Topic: Vascular Calcification

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Artificial intelligence in cardiac radiology.

La Radiologia medica Sep 18, 2020
Artificial intelligence (AI) is entering the clinical arena, and in the early stage, its implementation will be focused on the automatization tasks, improving diagnostic accuracy and reducing reading time. Many studies investigate the potential role ...
Humans Radiology Heart Coronary Artery Disease Workflow Vascular Calcification Coronary Stenosis Artificial Intelligence Algorithms Prognosis Image Processing, Computer-Assisted Magnetic Resonance Imaging
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Functional cardiac CT-Going beyond Anatomical Evaluation of Coronary Artery Disease with Cine CT, CT-FFR, CT Perfusion and Machine Learning.

The British journal of radiology Aug 12, 2020
The aim of this review is to provide an overview of different functional cardiac CT techniques which can be used to supplement assessment of the coronary arteries to establish the significance of coronary artery stenoses. We focus on cine-CT, CT-FFR,...
Computed Tomography Angiography Myocardial Perfusion Imaging Coronary Stenosis Fractional Flow Reserve, Myocardial Stroke Volume Coronary Angiography Coronary Artery Disease Clinical Trials as Topic Vascular Calcification Machine Learning Tomography, X-Ray Computed Ventricular Function, Left 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.
Humans Machine Learning Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Observer Variation Coronary Vessels Middle Aged Plaque, Atherosclerotic Retrospective Studies Severity of Illness Index Female Clinical Competence Vascular Calcification Reproducibility of Results Predictive Value of Tests Computed Tomography Angiography Aged Coronary Angiography Male
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The correlation of deep learning-based CAD-RADS evaluated by coronary computed tomography angiography with breast arterial calcification on mammography.

Scientific reports Jul 13, 2020
This study sought to evaluate the association of breast arterial calcification (BAC) on breast screening mammography with the Coronary Artery Disease-Reporting and Data System (CAD-RADS) based on Deep Learning-coronary computed tomography angiography...
Breast Data Systems Vascular Calcification Computed Tomography Angiography Aged Aged, 80 and over Adult Breast Neoplasms Middle Aged Coronary Angiography Heart Coronary Artery Disease Deep Learning Humans Early Detection of Cancer Female Mammography Risk Factors
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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...
Machine Learning Prognosis Reproducibility of Results Risk Assessment Severity of Illness Index Humans Coronary Vessels Plaque, Atherosclerotic Vascular Calcification Computed Tomography Angiography Predictive Value of Tests Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Heart Disease Risk Factors
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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...
Retrospective Studies Female Reproducibility of Results Aged Male Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Stenosis Coronary Artery Disease Fractional Flow Reserve, Myocardial Middle Aged Severity of Illness Index Observer Variation Predictive Value of Tests Coronary Vessels Plaque, Atherosclerotic Humans Vascular Calcification Machine Learning Computed Tomography Angiography
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Differentiation of distal ureteral stones and pelvic phleboliths using a convolutional neural network.

Urolithiasis Feb 27, 2020
The objectives were to develop and validate a Convolutional Neural Network (CNN) using local features for differentiating distal ureteral stones from pelvic phleboliths, compare the CNN method with a semi-quantitative method and with radiologists' as...
Ureteral Calculi Renal Colic Pelvis Datasets as Topic Vascular Calcification Ureter Veins Tomography, X-Ray Computed Female Humans Aged Adolescent Neural Networks, Computer Aged, 80 and over ROC Curve Retrospective Studies Adult Young Adult Diagnosis, Differential Male Middle Aged
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Deep Learning-Based Quantification of Epicardial Adipose Tissue Volume and Attenuation Predicts Major Adverse Cardiovascular Events in Asymptomatic Subjects.

Circulation. Cardiovascular imaging Feb 17, 2020
BACKGROUND: Epicardial adipose tissue (EAT) volume (cm) and attenuation (Hounsfield units) may predict major adverse cardiovascular events (MACE). We aimed to evaluate the prognostic value of fully automated deep learning-based EAT volume and attenua...
Coronary Vessels Deep Learning Humans Aged Vascular Calcification Adipose Tissue Prognosis Asymptomatic Diseases Aged, 80 and over Predictive Value of Tests Tomography, X-Ray Computed Pericardium Coronary Angiography Male Female Coronary Artery Disease Middle Aged Risk Factors Risk Assessment
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Deep Learning for Automatic Calcium Scoring in CT: Validation Using Multiple Cardiac CT and Chest CT Protocols.

Radiology Feb 11, 2020
Background Although several deep learning (DL) calcium scoring methods have achieved excellent performance for specific CT protocols, their performance in a range of CT examination types is unknown. Purpose To evaluate the performance of a DL method ...
Middle Aged Deep Learning Heart Retrospective Studies Coronary Artery Disease Vascular Calcification Thorax Tomography, X-Ray Computed Female Aged Male Clinical Protocols Humans
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Development and application of artificial intelligence in cardiac imaging.

The British journal of radiology Feb 6, 2020
In this review, we describe the technical aspects of artificial intelligence (AI) in cardiac imaging, starting with radiomics, basic algorithms of deep learning and application tasks of algorithms, until recently the availability of the public databa...
Cardiomyopathies Coronary Stenosis Fractional Flow Reserve, Myocardial Myocardial Infarction Heart Ventricles Coronary Disease Vascular Calcification Computed Tomography Angiography Databases, Factual Magnetic Resonance Imaging Prognosis Humans Artificial Intelligence Adipose Tissue Deep Learning Algorithms Heart
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