Computational modelling of endoleak after endovascular repair of abdominal aortic aneurysms

To better understand the effects of endoleak on the aneurysm intrasac pressure, previously, in a small number of studies, numerical models have been developed for the simulation of endoleak based on coupled fluid–structure interaction (FSI). Although such models can provide useful information on the...

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Veröffentlicht in:International journal for numerical methods in biomedical engineering 2010-03, Vol.26 (3-4), p.322-335
Hauptverfasser: Wolters, B. J. B. M., Rutten, M. C. M., Schurink, G. W. H., van de Vosse, F. N.
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container_issue 3-4
container_start_page 322
container_title International journal for numerical methods in biomedical engineering
container_volume 26
creator Wolters, B. J. B. M.
Rutten, M. C. M.
Schurink, G. W. H.
van de Vosse, F. N.
description To better understand the effects of endoleak on the aneurysm intrasac pressure, previously, in a small number of studies, numerical models have been developed for the simulation of endoleak based on coupled fluid–structure interaction (FSI). Although such models can provide useful information on the fluid dynamics and structural deformations in aneurysms after endovascular repair (EVAR), they may computationally be too expensive if one is solely interested in the effects of endoleak on the risk of aneurysm rupture. To assess the value of computationally more efficient lumped parameter models in the simulation of endoleak, in the current study, a lumped parameter‐based computational model of an incompletely excluded abdominal aortic aneurysm is developed as well as one based on coupled FSI. Both models are used to study the aneurysm intrasac pressure as a function of the degree of endoleak and the stent‐graft compliance. Based on the agreement of the results of the two models it is concluded that the lumped parameter modelling method provides a useful alternative to coupled FSI for modelling the aneurysm intrasac pressure in the presence of endoleak. The modelled pressure could be used as a boundary condition for solid stress analyses to predict the risk of aneurysm rupture after EVAR. Copyright © 2009 John Wiley & Sons, Ltd.
doi_str_mv 10.1002/cnm.1283
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To assess the value of computationally more efficient lumped parameter models in the simulation of endoleak, in the current study, a lumped parameter‐based computational model of an incompletely excluded abdominal aortic aneurysm is developed as well as one based on coupled FSI. Both models are used to study the aneurysm intrasac pressure as a function of the degree of endoleak and the stent‐graft compliance. Based on the agreement of the results of the two models it is concluded that the lumped parameter modelling method provides a useful alternative to coupled FSI for modelling the aneurysm intrasac pressure in the presence of endoleak. The modelled pressure could be used as a boundary condition for solid stress analyses to predict the risk of aneurysm rupture after EVAR. 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To assess the value of computationally more efficient lumped parameter models in the simulation of endoleak, in the current study, a lumped parameter‐based computational model of an incompletely excluded abdominal aortic aneurysm is developed as well as one based on coupled FSI. Both models are used to study the aneurysm intrasac pressure as a function of the degree of endoleak and the stent‐graft compliance. Based on the agreement of the results of the two models it is concluded that the lumped parameter modelling method provides a useful alternative to coupled FSI for modelling the aneurysm intrasac pressure in the presence of endoleak. The modelled pressure could be used as a boundary condition for solid stress analyses to predict the risk of aneurysm rupture after EVAR. 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subjects abdominal aortic aneurysm
Computation
Computational fluid dynamics
Computer simulation
endoleak
fluid-structure interaction
intrasac pressure
Mathematical models
Modelling
Risk
Rupture
title Computational modelling of endoleak after endovascular repair of abdominal aortic aneurysms
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