Mathematical modeling of thrombus formation in idealized models of aortic dissection: Initial findings and potential applications
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Published version
Accepted version
Author(s)
Xu, XY
Menichini, C
Type
Journal Article
Abstract
Aortic dissection is a major aortic catastrophe with a high morbidity and mortality risk caused by the formation of a tear in the aortic wall. The development of a second blood filled region defined as the “false lumen” causes highly disturbed flow patterns and creates local hemodynamic conditions likely to promote the formation of thrombus in the false lumen. Previous research has shown that patient prognosis is influenced by the level of thrombosis in the false lumen, with false lumen patency and partial thrombosis being associated with late complications and complete thrombosis of the false lumen having beneficial effects on patient outcomes. In this paper, a new hemodynamics-based model is proposed to predict the formation of thrombus in Type B dissection. Shear rates, fluid residence time, and platelet distribution are employed to evaluate the likelihood for thrombosis and to simulate the growth of thrombus and its effects on blood flow over time. The model is applied to different idealized aortic dissections to investigate the effect of geometric features on thrombus formation. Our results are in qualitative agreement with in-vivo observations, and show the potential applicability of such a modeling approach to predict the progression of aortic dissection in anatomically realistic geometries.
Date Issued
2016-03-23
Date Acceptance
2016-03-11
ISSN
1432-1416
Publisher
Springer Verlag (Germany)
Start Page
1205
End Page
1226
Journal / Book Title
Journal of Mathematical Biology
Volume
73
Issue
5
Copyright Statement
© The Author(s) 2016. This article is published with open access at Springerlink.com
Sponsor
Imperial College Healthcare Charity
Grant Number
Fund 7071 Mr J. Wolfe Vascular
Subjects
Aortic dissection
Computational fluid dynamics
Residence time
Shear stress
Thrombosis
Bioinformatics
01 Mathematical Sciences
06 Biological Sciences
Publication Status
Published