4.5 Article

Validation and Verification of High-Fidelity Simulations of Thoracic Stent-Graft Implantation

期刊

ANNALS OF BIOMEDICAL ENGINEERING
卷 50, 期 12, 页码 1941-1953

出版社

SPRINGER
DOI: 10.1007/s10439-022-03014-y

关键词

Endograft; TEVAR; Finite element method; Numerical model

资金

  1. MIUR [FISR-FISR2019_03221 CECOMES]
  2. 3D@UniPV flagship project of University of Pavia

向作者/读者索取更多资源

This study developed high-fidelity Finite Element simulations for modeling thoracic stent-grafts and proposed a new methodology for simulating device insertion and deployment. The reliability and applicability of the proposed method were verified and demonstrated through experimental validation and comparative analysis.
Thoracic Endovascular Aortic Repair (TEVAR) is the preferred treatment option for thoracic aortic pathologies and consists of inserting a self-expandable stent-graft into the pathological region to restore the lumen. Computational models play a significant role in procedural planning and must be reliable. For this reason, in this work, high-fidelity Finite Element (FE) simulations are developed to model thoracic stent-grafts. Experimental crimp/release tests are performed to calibrate stent-grafts material parameters. Stent pre-stress is included in the stent-graft model. A new methodology for replicating device insertion and deployment with explicit FE simulations is proposed. To validate this simulation, the stent-graft is experimentally released into a 3D rigid aortic phantom with physiological anatomy and inspected in a computed tomography (CT) scan at different time points during deployment with an ad-hoc set-up. A verification analysis of the adopted modeling features compared to the literature is performed. With the proposed methodology the error with respect to the CT is on average 0.92 +/- 0.64%, while it is higher when literature models are adopted (on average 4.77 +/- 1.83%). The presented FE tool is versatile and customizable for different commercial devices and applicable to patient-specific analyses.

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