AIMC Topic: Coronary Vessels
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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...
Validation of deep-learning image reconstruction for coronary computed tomography angiography: Impact on noise, image quality and diagnostic accuracy.
Journal of cardiovascular computed tomography
Jan 13, 2020
BACKGROUND: Advances in image reconstruction are necessary to decrease radiation exposure from coronary CT angiography (CCTA) further, but iterative reconstruction has been shown to degrade image quality at high levels. Deep-learning image reconstruc...
Deep Learning
Predictive Value of Tests
Coronary Angiography
Reproducibility of Results
Radiographic Image Interpretation, Computer-Assisted
Aged
Registries
Male
Coronary Artery Disease
Humans
Middle Aged
Artifacts
Retrospective Studies
Diagnosis, Computer-Assisted
Coronary Vessels
Female
Computed Tomography Angiography
Learning tree-structured representation for 3D coronary artery segmentation.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Dec 28, 2019
Extensive research has been devoted to the segmentation of the coronary artery. However, owing to its complex anatomical structure, it is extremely challenging to automatically segment the coronary artery from 3D coronary computed tomography angiogra...
Deep learning segmentation of major vessels in X-ray coronary angiography.
Scientific reports
Nov 15, 2019
X-ray coronary angiography is a primary imaging technique for diagnosing coronary diseases. Although quantitative coronary angiography (QCA) provides morphological information of coronary arteries with objective quantitative measures, considerable tr...
Evaluation of an AI-based, automatic coronary artery calcium scoring software.
European radiology
Nov 14, 2019
OBJECTIVES: To evaluate an artificial intelligence (AI)-based, automatic coronary artery calcium (CAC) scoring software, using a semi-automatic software as a reference.
Evaluation of a Deep Learning-Based Automated CT Coronary Artery Calcium Scoring Algorithm.
JACC. Cardiovascular imaging
Nov 13, 2019
Humans
Software
Retrospective Studies
Female
Reproducibility of Results
Aged
Male
Middle Aged
Severity of Illness Index
Vascular Calcification
Computed Tomography Angiography
Cardiac-Gated Imaging Techniques
Coronary Angiography
Diagnosis, Computer-Assisted
Radiographic Image Interpretation, Computer-Assisted
Deep Learning
Coronary Artery Disease
Electrocardiography
Automation
Predictive Value of Tests
Coronary Vessels
Deep Learning Analysis of Coronary Arteries in Cardiac CT Angiography for Detection of Patients Requiring Invasive Coronary Angiography.
IEEE transactions on medical imaging
Nov 12, 2019
In patients with obstructive coronary artery disease, the functional significance of a coronary artery stenosis needs to be determined to guide treatment. This is typically established through fractional flow reserve (FFR) measurement, performed duri...
Application of machine learning to determine top predictors of noncalcified coronary burden in psoriasis: An observational cohort study.
Journal of the American Academy of Dermatology
Oct 31, 2019
BACKGROUND: Psoriasis is associated with elevated risk of heart attack and increased accumulation of subclinical noncalcified coronary burden by coronary computed tomography angiography (CCTA). Machine learning algorithms have been shown to effective...
Correlation of machine learning computed tomography-based fractional flow reserve with instantaneous wave free ratio to detect hemodynamically significant coronary stenosis.
Clinical research in cardiology : official journal of the German Cardiac Society
Oct 29, 2019
BACKGROUND: Fractional flow reserve based on coronary CT angiography (CT-FFR) is gaining importance for non-invasive hemodynamic assessment of coronary artery disease (CAD). We evaluated the on-site CT-FFR with a machine learning algorithm (CT-FFR) f...
Anti-varicella Zoster Virus IgG and hsCRP Levels Correlate with Progression of Coronary Artery Atherosclerosis.
Iranian journal of allergy, asthma, and immunology
Oct 23, 2019
The relationship between high levels of anti-Varicella Zoster Virus (VZV) IgG in cerebrospinal fluid (CSF) and cerebrovascular atherosclerosis commends a possible similar association in other vessels. We aimed to investigate the association of VZV-se...
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