A validated methodology for patient specific computational modeling of self-expandable transcatheter aortic valve implantation

被引:33
作者
Bosmans, Bart [1 ,2 ,3 ]
Famaey, Nele [1 ]
Verhoelst, Eva [2 ]
Bosmans, Johan [3 ]
Vander Sloten, Jos [1 ]
机构
[1] KULeuven, Dept Mech Engn, Biomech Sect, Fac Engn Sci, Celestijnenlaan 300C, B-3001 Leuven, Belgium
[2] Materialise NV, Technol Laan 15, B-3001 Leuven, Belgium
[3] Univ Antwerp, Fac Med & Hlth Sci, Dept Translat Pathophysiol Res, Cardiovasc Dis, Univ Pl 1, B-2610 Antwerp, Belgium
关键词
Patient-specific; Finite element simulation; Transcatheter aortic valve implantation; Computed tomography; FINITE-ELEMENT-ANALYSIS; REPLACEMENT; SIMULATION; TISSUE; REGURGITATION; STENOSIS; OUTCOMES; TAVI;
D O I
10.1016/j.jbiomech.2016.06.024
中图分类号
Q6 [生物物理学];
学科分类号
071011 ;
摘要
Leakage of blood alongside the implant is a relatively frequent and life-limiting complication after transcatheter aortic valve implantation. The aim of this study is to develop and validate a workflow to simulate the implantation prior to the intervention. Based on the simulation outcome, the amount of leakage is estimated in order to evaluate the risk of a severe complication. A finite element model of the stent implantation in 10 patients was created based on a pre-operative computed tomography scan. All 10 patients also received a follow-up computed tomography scan, after the implantation. This scan was used to extract the deformed geometry of the stent and the position of the calcifications for validation of the simulation results. The maximal average perimeter difference between the simulated stent and the post-operative stent is 2.9 +/- 2.1 mm, and occurs at the bottom of the device. The sensitivity of the simulation to the soft tissue material parameters and aortic root wall thickness was tested. The maximal diameter deviation of 6% occurred when the thickness of the aortic root was doubled. The result of the leakage analysis based on the distance between the simulated stent and the surrounding aortic root corresponded well when no regurgitation was observed. The developed tools have the potential to reduce the occurrence and severity of leakage by providing the clinician with additional information prior to the intervention. The simulated geometry and estimated leakage can help decide on the best implant type, size and position before treatment. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:2824 / 2830
页数:7
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