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FSI modeling on the effect of artery-aneurysm thickness and coil embolization in patient cases.

Authors :
Paz C
Suárez E
Cabarcos A
Pinto SIS
Source :
Computer methods and programs in biomedicine [Comput Methods Programs Biomed] 2021 Jul; Vol. 206, pp. 106148. Date of Electronic Publication: 2021 May 04.
Publication Year :
2021

Abstract

Background and Objective: The attainment of a methodology to simulate the hemodynamic in patient-specific cerebral vessels with aneurysms is still a challenge. The novelty of this work is focused on the effect of coil embolization in a realistic cerebral aneurysm, according to the vessel wall thickness and aneurysm thickness, through transient FSI simulations.<br />Methods: The quality of the mesh for simulations was checked with a specific mesh convergence study; and the numerical methodology was validated using numerical research data of the literature. The model was implemented in ANSYS® software. The total deformation and equivalent stress evolution in the studied cases, before and after coil embolization, were compared. More than 20 different models were employed due to different arterial wall thickness and aneurysm wall thickness combinations.<br />Results: The obtained results have showed that deformation and stress values are highly influenced with the sac thickness. The thinner sac aneurysm thickness is, the greater deformation and stress are. The results after coil embolization process have highlighted that considering typical values of arterial wall thickness and aneurysm thickness 0.3 mm and 0.15 mm respectively, a deformation reduction around 50% and a stress reduction around 70% can be achieved.<br />Conclusions: The proposed methodology is a step forward in the personalized medicine, quantifying the aneurysm rupture risk reduction, and helping the medical team in the preoperative planning, or to deciding the optimal treatment.<br />Competing Interests: Declaration of Competing Interest Authors declare that they have not any actual or potential conflict of interest.<br /> (Copyright © 2021. Published by Elsevier B.V.)

Details

Language :
English
ISSN :
1872-7565
Volume :
206
Database :
MEDLINE
Journal :
Computer methods and programs in biomedicine
Publication Type :
Academic Journal
Accession number :
33992899
Full Text :
https://doi.org/10.1016/j.cmpb.2021.106148