In this section
@article{Yuan:2020:10.1016/j.xjtc.2020.10.006,
author = {Yuan, X and Kan, X and Xu, XY and Nienaber, CA},
doi = {10.1016/j.xjtc.2020.10.006},
journal = {JTCVS Techniques},
pages = {40--47},
title = {Finite element modeling to predict procedural success of thoracic endovascular aortic repair in type A aortic dissection},
url = {http://dx.doi.org/10.1016/j.xjtc.2020.10.006},
volume = {4},
year = {2020}
}
TY - JOUR
AB - ObjectiveThoracic endovascular aortic repair (TEVAR) is recommended for type B aortic dissection and recently has even been used in selected cases of proximal (Stanford type A) aortic dissections in scenarios of prohibitive surgical risk. However, mechanical interactions between the native aorta and stent-graft are poorly understood, as some cases ended in failure. The aim of this study is to explore and better understand biomechanical changes after TEVAR and predict the result via virtual stenting.MethodsA case of type A aortic dissection was considered inoperable and selected for TEVAR. The procedure failed due to stent-graft migration even with precise deployment. A novel patient-specific virtual stent-graft deployment model based on finite element method was employed to analyze TEVAR-induced changes under such conditions. Two landing positions were simulated to investigate the reason for stent-graft migration immediately after TEVAR and explore options for optimization.ResultsSimulation of the actual procedure revealed that the proximal bare metal stent pushed the lamella into the false lumen and led to further stent-graft migration during the launch phase. An alternative landing position has reduced the local deformation of the dissection lamella and avoided stent-graft migration. Higher maximum principal stress (>20 KPa) was found on the lamella with deployment at the actual position, while the alternative strategy would have reduced the stress to <5 KPa.ConclusionsVirtual stent-graft deployment simulation based on finite element model could be helpful to both predict outcomes of TEVAR and better plan future endovascular procedures.
AU - Yuan,X
AU - Kan,X
AU - Xu,XY
AU - Nienaber,CA
DO - 10.1016/j.xjtc.2020.10.006
EP - 47
PY - 2020///
SN - 2666-2507
SP - 40
TI - Finite element modeling to predict procedural success of thoracic endovascular aortic repair in type A aortic dissection
T2 - JTCVS Techniques
UR - http://dx.doi.org/10.1016/j.xjtc.2020.10.006
UR - https://www.sciencedirect.com/science/article/pii/S2666250720305757?via%3Dihub
UR - http://hdl.handle.net/10044/1/84150
VL - 4
ER -
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