AIMC Topic: Vascular Calcification

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Deep Learning-Assisted Repurposing of Plant Compounds for Treating Vascular Calcification: An In Silico Study with Experimental Validation.

Oxidative medicine and cellular longevity Jan 5, 2022
BACKGROUND: Vascular calcification (VC) constitutes subclinical vascular burden and increases cardiovascular mortality. Effective therapeutics for VC remains to be procured. We aimed to use a deep learning-based strategy to screen and uncover plant c...
Algorithms Computer Simulation Deep Learning Plants Vascular Calcification Humans Machine Learning
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Calcium Scoring at Coronary CT Angiography Using Deep Learning.

Radiology Nov 23, 2021
Background Separate noncontrast CT to quantify the coronary artery calcium (CAC) score often precedes coronary CT angiography (CTA). Quantifying CAC scores directly at CTA would eliminate the additional radiation produced at CT but remains challengin...
Female Male Middle Aged Deep Learning Coronary Angiography Humans Retrospective Studies Coronary Artery Disease Vascular Calcification Computed Tomography Angiography
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A Self-Representation-Based Fuzzy SVM Model for Predicting Vascular Calcification of Hemodialysis Patients.

Computational and mathematical methods in medicine Jul 27, 2021
In end-stage renal disease (ESRD), vascular calcification risk factors are essential for the survival of hemodialysis patients. To effectively assess the level of vascular calcification, the machine learning algorithm can be used to predict the vascu...
Heart Disease Risk Factors Aorta, Abdominal Vascular Calcification Aged Adult Male Middle Aged Renal Dialysis Computational Biology Logistic Models Support Vector Machine Fuzzy Logic Kidney Failure, Chronic Humans Neural Networks, Computer Machine Learning Algorithms Female
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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 ...
Prognosis Image Processing, Computer-Assisted Magnetic Resonance Imaging Radiology Heart Humans Artificial Intelligence Algorithms Coronary Artery Disease Workflow Vascular Calcification Coronary Stenosis
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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,...
Humans Machine Learning Coronary Stenosis Tomography, X-Ray Computed Fractional Flow Reserve, Myocardial Ventricular Function, Left Stroke Volume Coronary Angiography Coronary Artery Disease Clinical Trials as Topic Vascular Calcification Computed Tomography Angiography Myocardial Perfusion Imaging
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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 Plaque, Atherosclerotic Vascular Calcification Computed Tomography Angiography Humans Male Machine Learning Middle Aged Severity of Illness Index Clinical Competence Predictive Value of Tests Retrospective Studies Female Reproducibility of Results Aged
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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 Neoplasms Middle Aged Deep Learning Early Detection of Cancer Mammography Coronary Angiography Heart Coronary Artery Disease Breast Data Systems Female Risk Factors Aged Aged, 80 and over Adult Humans Vascular Calcification Computed Tomography Angiography
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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...
Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Heart Disease Risk Factors Coronary Vessels Plaque, Atherosclerotic Vascular Calcification Computed Tomography Angiography Prognosis Reproducibility of Results Risk Assessment Severity of Illness Index Predictive Value of Tests Humans Machine Learning
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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...
Fractional Flow Reserve, Myocardial Coronary Vessels Reproducibility of Results Predictive Value of Tests Plaque, Atherosclerotic Aged Humans Coronary Angiography Vascular Calcification Male Machine Learning Radiographic Image Interpretation, Computer-Assisted Computed Tomography Angiography Middle Aged Retrospective Studies Coronary Artery Disease Coronary Stenosis Severity of Illness Index Female Observer Variation
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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...
Veins Ureteral Calculi Renal Colic Tomography, X-Ray Computed Diagnosis, Differential Female Pelvis Aged Datasets as Topic Aged, 80 and over Vascular Calcification Young Adult Humans Ureter Adult Neural Networks, Computer Male Retrospective Studies Middle Aged Adolescent ROC Curve
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