Literature DB >> 25456396

Morphological and stent design risk factors to prevent migration phenomena for a thoracic aneurysm: a numerical analysis.

H-E Altnji1, B Bou-Saïd2, H Walter-Le Berre3.   

Abstract

The primary mechanically related problems of endovascular aneurysm repair are migration and type Ia endoleaks. They occur when there is no effective seal between the proximal end of the stent-graft and the vessel. In this work, we have developed several deployment simulations of parameterized stents using the finite element method (FEM) to investigate the contact stiffness of a nitinol stent in a realistic Thoracic Aortic Aneurysm (TAA). Therefore, we evaluated the following factors associated with these complications: (1) Proximal Attachment Site Length (PASL), (2) stent oversizing value (O%), (3) different friction conditions of the stent/aorta contact, and (4) proximal neck angulation α. The simulation results show that PASL>18 mm is a crucial factor to prevent migration at a neck angle of 60°, and the smoothest contact condition with low friction coefficient (μ=0.05). The increase in O% ranging from 10% to 20% improved the fixation strength. However, O%≥25% at 60° caused eccentric deformation and stent collapse. Higher coefficient of friction μ>0.01 considerably increased the migration risk when PASL=18 mm. No migration was found in an idealized aorta model with a neck angle of 0°, PASL=18 mm and μ=0.05. Our results suggest carefully considering the stent length and oversizing value in this neck morphology to strengthen the contact and prevent migration.
Copyright © 2014 IPEM. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Aortic aneurysm; Finite element; Migration; Self-expanding stent; Type I endoleak

Mesh:

Substances:

Year:  2014        PMID: 25456396     DOI: 10.1016/j.medengphy.2014.09.017

Source DB:  PubMed          Journal:  Med Eng Phys        ISSN: 1350-4533            Impact factor:   2.242


  4 in total

1.  A Deep Learning-Based and Fully Automated Pipeline for Thoracic Aorta Geometric Analysis and Planning for Endovascular Repair from Computed Tomography.

Authors:  Simone Saitta; Francesco Sturla; Alessandro Caimi; Alessandra Riva; Maria Chiara Palumbo; Giovanni Nano; Emiliano Votta; Alessandro Della Corte; Mattia Glauber; Dante Chiappino; Massimiliano M Marrocco-Trischitta; Alberto Redaelli
Journal:  J Digit Imaging       Date:  2022-01-26       Impact factor: 4.056

2.  A three-dimensional strain measurement method in elastic transparent materials using tomographic particle image velocimetry.

Authors:  Azuma Takahashi; Sara Suzuki; Yusuke Aoyama; Mitsuo Umezu; Kiyotaka Iwasaki
Journal:  PLoS One       Date:  2017-09-14       Impact factor: 3.240

3.  Stent-Graft Migration Post-Endovascular Repair of Thoracic Aorta: A Retrospective Cohort Study.

Authors:  Amit Ajit Deshpande; Niraj Nirmal Pandey; Manish Shaw; Sanjeev Kumar; Priya Jagia; Sanjiv Sharma; Shiv Choudhary
Journal:  Indian J Radiol Imaging       Date:  2022-07-31

4.  Hemodynamics of cerebral bridging veins connecting the superior sagittal sinus based on numerical simulation.

Authors:  Youyu Zhu; Feng Wang; Xuefei Deng
Journal:  Biomed Eng Online       Date:  2018-03-20       Impact factor: 2.819

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.