A new method for IVUS-based coronary artery disease risk stratification: A link between coronary & carotid ultrasound plaque burdens

Highlights • Coronary risk stratification. • Machine learning to link two arteries. • 56 grayscale features. • Coronary tissue characterization. • Classification accuracy 94.95% and AUC 0.95.

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Bibliographic Details
Published in:Computer methods and programs in biomedicine 2016-02, Vol.124, p.161-179
Main Authors: Araki, Tadashi, Ikeda, Nobutaka, Shukla, Devarshi, Londhe, Narendra D, Shrivastava, Vimal K, Banchhor, Sumit K, Saba, Luca, Nicolaides, Andrew, Shafique, Shoaib, Laird, John R, Suri, Jasjit S
Format: Article
Language:English
Subjects:
Adult
Aged
Aged, 80 and over
Atherosclerosis
B-mode ultrasound
Carotid Artery Diseases - complications
Carotid Artery Diseases - diagnostic imaging
Carotid disease
Carotid Intima-Media Thickness
Coronary artery
Coronary Artery Disease - diagnostic imaging
Coronary Artery Disease - etiology
Female
Humans
Image Interpretation, Computer-Assisted - methods
Internal Medicine
IVUS
Links
Machine Learning
Male
Middle Aged
Morphology
Other
Patients
Pattern Recognition, Automated - methods
Reproducibility of Results
Risk
Risk assessment
Risk Assessment - methods
Sensitivity and Specificity
Stratification
Support vector machines
Ultrasonography, Interventional - methods
Ultrasound
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Description
Summary:Highlights • Coronary risk stratification. • Machine learning to link two arteries. • 56 grayscale features. • Coronary tissue characterization. • Classification accuracy 94.95% and AUC 0.95.
ISSN:0169-2607
1872-7565
DOI:10.1016/j.cmpb.2015.10.022