On the Material Constitutive Behavior of the Aortic Root in Patients with Transcatheter Aortic Valve Implantation

Author:

Catalano Chiara,Turgut Tahir,Zahalka Omar,Götzen Nils,Cannata Stefano,Gentile Giovanni,Agnese Valentina,Gandolfo Caterina,Pasta SalvatoreORCID

Abstract

Abstract Background Transcatheter aortic valve implantation (TAVI) is a minimally invasive procedure used to treat patients with severe aortic valve stenosis. However, there is limited knowledge on the material properties of the aortic root in TAVI patients, and this can impact the credibility of computer simulations. This study aimed to develop a non-invasive inverse approach for estimating reliable material constituents for the aortic root and calcified valve leaflets in patients undergoing TAVI. Methods The identification of material parameters is based on the simultaneous minimization of two cost functions, which define the difference between model predictions and cardiac-gated CT measurements of the aortic wall and valve orifice area. Validation of the inverse analysis output was performed comparing the numerical predictions with actual CT shapes and post-TAVI measures of implanted device diameter. Results A good agreement of the peak systolic shape of the aortic wall was found between simulations and imaging, with similarity index in the range in the range of 83.7% to 91.5% for n.20 patients. Not any statistical difference was observed between predictions and CT measures of orifice area for the stenotic aortic valve. After TAVI simulations, the measurements of SAPIEN 3 Ultra (S3) device diameter were in agreement with those from post-TAVI angio-CT imaging. A sensitivity analysis demonstrated a modest impact on the S3 diameters when altering the elastic material property of the aortic wall in the range of inverse analysis solution. Conclusions Overall, this study demonstrates the feasibility and potential benefits of using non-invasive imaging techniques and computational modeling to estimate material properties in patients undergoing TAVI.

Funder

H2020 Excellent Science

Università degli Studi di Palermo

Publisher

Springer Science and Business Media LLC

Subject

Cardiology and Cardiovascular Medicine,Biomedical Engineering

Reference29 articles.

1. Mylotte, D., A. Andalib, P. Theriault-Lauzier, M. Dorfmeister, M. Girgis, W. Alharbi, M. Chetrit, C. Galatas, S. Mamane, I. Sebag, J. Buithieu, L. Bilodeau, B. de Varennes, K. Lachapelle, R. Lange, G. Martucci, R. Virmani, and N. Piazza. Transcatheter heart valve failure: a systematic review. Eur. Heart J. 36(21):1306–1327, 2015. https://doi.org/10.1093/eurheartj/ehu388.

2. Morganti, S., M. Conti, M. Aiello, A. Valentini, A. Mazzola, A. Reali, and F. Auricchio. Simulation of transcatheter aortic valve implantation through patient-specific finite element analysis: two clinical cases. J. Biomech. 47(11):2547–2555, 2014. https://doi.org/10.1016/j.jbiomech.2014.06.007.

3. Morganti, S., N. Brambilla, A. S. Petronio, A. Reali, F. Bedogni, and F. Auricchio. Prediction of patient-specific post-operative outcomes of TAVI procedure: The impact of the positioning strategy on valve performance. J Biomech. 49(12):2513–2519, 2016. https://doi.org/10.1016/j.jbiomech.2015.10.048.

4. Brouwer, J., L. Gheorghe, V. J. Nijenhuis, J. M. Ten Berg, B. Rensing, J. A. S. van der Heyden, and M. J. Swaans. Insight on patient specific computer modeling of transcatheter aortic valve implantation in patients with bicuspid aortic valve disease. Catheter Cardiovasc. Interv. 2018. https://doi.org/10.1002/ccd.27990.

5. Luraghi, G., F. Migliavacca, A. García-González, C. Chiastra, A. Rossi, D. Cao, G. Stefanini, and J. F. R. Matas. On the modeling of patient-specific transcatheter aortic valve replacement: a fluid–structure interaction approach. Cardiovasc. Eng. Technol. 10(3):437–455, 2019.

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3