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Compound ex vivo and in silico method for hemodynamic analysis of stented arteries

Citation

Rikhtegar, F and Pacheco, F and Wyss, C and Stok, KS and Ge, H and Choo, RJ and Ferrari, A and Poulikakos, D and Muller, R and Kurtcuoglu, V, Compound ex vivo and in silico method for hemodynamic analysis of stented arteries, PLoS ONE, 8, (3) pp. e58147. ISSN 1932-6203 (2013) [Refereed Article]


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DOI: doi:10.1371/journal.pone.0058147

Abstract

Hemodynamic factors such as low wall shear stress have been shown to influence endothelial healing and atherogenesis in stent-free vessels. However, in stented vessels, a reliable quantitative analysis of such relations has not been possible due to the lack of a suitable method for the accurate acquisition of blood flow. The objective of this work was to develop a method for the precise reconstruction of hemodynamics and quantification of wall shear stress in stented vessels. We have developed such a method that can be applied to vessels stented in or ex vivo and processed ex vivo. Here we stented the coronary arteries of ex vivo porcine hearts, performed vascular corrosion casting, acquired the vessel geometry using micro-computed tomography and reconstructed blood flow and shear stress using computational fluid dynamics. The method yields accurate local flow information through anatomic fidelity, capturing in detail the stent geometry, arterial tissue prolapse, radial and axial arterial deformation as well as strut malapposition. This novel compound method may serve as a unique tool for spatially resolved analysis of the relationship between hemodynamic factors and vascular biology. It can further be employed to optimize stent design and stenting strategies.

Item Details

Item Type:Refereed Article
Research Division:Engineering
Research Group:Biomedical Engineering
Research Field:Biomechanical Engineering
Objective Division:Expanding Knowledge
Objective Group:Expanding Knowledge
Objective Field:Expanding Knowledge in Engineering
UTAS Author:Stok, KS (Dr Kathryn Stok)
ID Code:133132
Year Published:2013
Web of Science® Times Cited:17
Deposited By:Menzies Institute for Medical Research
Deposited On:2019-06-13
Last Modified:2019-06-13
Downloads:0

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