ArticleMedical & biological engineering & computing2016
Modeling hemodynamic forces in carotid artery based on local geometric features.
Article in Medical & biological engineering & computing, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Age-related wall shear stress changes assessed by vascular vector flow mapping in the carotid arteries of healthy adults: a cross-sectional study.Cardiovascular diagnosis and therapy · 2024Article
- Hemodynamic assessments of the ascending thoracic aortic aneurysm using fluid-structure interaction approach.Medical & biological engineering & computing · 2018Article
- Conformal mapping of carotid vessel wall and plaque thickness measured from 3D ultrasound images.Medical & biological engineering & computing · 2017Article
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Authors and funding
4 authors.
Funding
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Abstract
Hemodynamic wall shear stress (WSS) plays an important role in the initiation and progression of carotid atherosclerosis. This study aims at developing a technique to model WSS distribution based on point-wise geometric features that can be efficiently computed. Computational fluid dynamic analysis was performed for ten subjects. Surface curvatures, vascular radius, rate of change of radius along the longitudinal direction and standardized longitudinal/circumferential coordinates were computed on a point-wise basis for the arteries. Each of these point-wise geometric parameters was transformed to maximize the adjusted correlation coefficient. The transformed geometric parameters subsequently served as input variables of a multiple regression model. Multiple regression analysis revealed a significant relationship ([Formula: see text]) between WSS and three geometric parameters in internal and external carotid arteries (ICA and ECA). These three geometric parameters include vascular radius (ICA: [Formula: see text], ECA: [Formula: see text]), standardized longitudinal/circumference coordinates (ICA: [Formula: see text], ECA: [Formula: see text]) and Gaussian curvature (ICA: [Formula: see text], ECA: [Formula: see text]). The results suggest that the proposed geometric parameters can serve as risk indicator in large-scale clinical studies aiming at elucidating the roles of local geometric risk of atherosclerosis.
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Registered trials
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