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PMID: 39929978 Published · epublish English Journal Article

Hemodynamic effects of stenosis with varying severity in different segments of the carotid artery using computational fluid dynamics.

Scientific reports ·Vol. 15 ·No. 1 ·2025-02-10 ·页码 4896

Yang J, Zhang Y, Xue J, Guo Y, Liu S, Yao Y, Zhong H, Quan A, Yang J

Abstract

Carotid atherosclerosis is a leading cause of ischemic stroke. As a result of atherosclerotic plaque formation, the carotid artery lumen narrows, leading to significant hemodynamic alterations. These changes can further contribute to the development of subsequent lesions. In this study, we built 54 idealized carotid artery stenosis (CAS) models by using a single healthy carotid artery to simulate six different degrees of stenosis at nine various locations. Computational fluid dynamics (CFD) was applied to analyze blood flow changes, focusing on three key hemodynamic indicators: wall shear stress (WSS), oscillatory shear index (OSI), and relative residence time (RRT). Numerical simulations and model validations were conducted to ensure the correctness and validity of the results. The results show that increasing stenosis severity leads to higher WSS values at the site of stenosis, which may facilitate plaque rupture, while OSI and RRT decrease at the stenosis site. In the external carotid artery (ECA) and internal carotid artery (ICA), increasing stenosis severity results in a reduction in WSS at bifurcation sites, promoting plaque formation. These findings offer new insights into the hemodynamic changes associated with carotid artery stenosis and provide a solid foundation for future research and clinical applications.

Keywords
Carotid atherosclerosis Computational fluid dynamics Hemodynamics Risk analysis Stenosis location
MeSH 主题词
Humans Carotid Stenosis/physiopathology,pathology Hemodynamics Hydrodynamics Models, Cardiovascular Computer Simulation Carotid Arteries/physiopathology,pathology Stress, Mechanical Severity of Illness Index
作者与单位
共 9 位作者,点击展开单位 / ORCID
Yang Jingxi
Xianning Medical College, Hubei University of Science and Technology, Xianning, 437100, People's Republic of China.
Zhang Yang
Institute of Engineering and Technology, Hubei University of Science and Technology, Xianning, 437100, People's Republic of China.
Xue Junzhen
Health Management Faculty, Xianning Vocational and Technical College, Xianning, 437100, People's Republic of China.
Guo Yuxin
Xianning Medical College, Hubei University of Science and Technology, Xianning, 437100, People's Republic of China.
Liu Siyu
Xianning Medical College, Hubei University of Science and Technology, Xianning, 437100, People's Republic of China.
Yao Yixin
Institute of Engineering and Technology, Hubei University of Science and Technology, Xianning, 437100, People's Republic of China.
Zhong Huimin
Xianning Medical College, Hubei University of Science and Technology, Xianning, 437100, People's Republic of China.
Quan Anlong
Institute of Engineering and Technology, Hubei University of Science and Technology, Xianning, 437100, People's Republic of China.
Yang Jianbao
Xianning Medical College, Hubei University of Science and Technology, Xianning, 437100, People's Republic of China. [email protected].
Article Info
Journal
Scientific reports
Abbr.
Sci Rep
ISSN
2045-2322
Corresponding email
Published
2025-02-10
电子出版
2025-00-10
页码
4896
Language
English
Country/Region
England
NLM ID
101563288
基金资助
Hubei Natural Science Foundation Program · No.2023AFC048
Hubei University of Science and Technology PhD Start-up Fund Project · No.BK202112
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