Literature DB >> 18821189

Stresses in peripheral arteries following stent placement: a finite element analysis.

Michael Early1, Catriona Lally, Patrick J Prendergast, Daniel J Kelly.   

Abstract

The success of stents to restore blood flow in atherosclerotic peripheral arteries is low relative to coronary arteries. It has been shown that joint flexion induces a mechanical environment that makes stent placement in these arteries highly incompatible, and damage and destruction of stents has been recorded. However, the effect of this environment on the stresses in the arteries is unknown. It is hypothesised that the stresses induced in arteries as a result of this mechanical environment could be sufficient to explain the relatively low success rates. To investigate this hypothesis, a finite element model of the stent-artery interaction was developed. Following stent expansion, bending was simulated by applying a displacement boundary condition to the artery. It is found that high stresses occur at the proximal/distal ends of the stent. As high stress and vascular injury are hypothesised to cause restenosis, the results presented here suggest that the mechanical environment of peripheral arteries could be the predominant cause of high restenosis rates.

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Year:  2009        PMID: 18821189     DOI: 10.1080/10255840903065043

Source DB:  PubMed          Journal:  Comput Methods Biomech Biomed Engin        ISSN: 1025-5842            Impact factor:   1.763


  11 in total

1.  Surgical stent planning: simulation parameter study for models based on DICOM standards.

Authors:  S Scherer; T Treichel; N Ritter; G Triebel; W G Drossel; O Burgert
Journal:  Int J Comput Assist Radiol Surg       Date:  2010-07-22       Impact factor: 2.924

2.  The consequences of the mechanical environment of peripheral arteries for nitinol stenting.

Authors:  Michael Early; Daniel J Kelly
Journal:  Med Biol Eng Comput       Date:  2011-08-11       Impact factor: 2.602

3.  Determination of the influence of stent strut thickness using the finite element method: implications for vascular injury and in-stent restenosis.

Authors:  Houman Zahedmanesh; Caitríona Lally
Journal:  Med Biol Eng Comput       Date:  2009-02-03       Impact factor: 2.602

4.  Structural Mechanics Predictions Relating to Clinical Coronary Stent Fracture in a 5 Year Period in FDA MAUDE Database.

Authors:  Kay D Everett; Claire Conway; Gerard J Desany; Brian L Baker; Gilwoo Choi; Charles A Taylor; Elazer R Edelman
Journal:  Ann Biomed Eng       Date:  2015-10-14       Impact factor: 3.934

5.  Influence of different computational approaches for stent deployment on cerebral aneurysm haemodynamics.

Authors:  Annarita Bernardini; Ignacio Larrabide; Hernán G Morales; Giancarlo Pennati; Lorenza Petrini; Salvatore Cito; Alejandro F Frangi
Journal:  Interface Focus       Date:  2011-03-23       Impact factor: 3.906

6.  Numerical Analysis for Non-Uniformity of Balloon-Expandable Stent Deployment Driven by Dogboning and Foreshortening.

Authors:  Ganesh B Rahinj; Harshit S Chauhan; Martin L Sirivella; Menta V Satyanarayana; Laxminarayanan Ramanan
Journal:  Cardiovasc Eng Technol       Date:  2021-08-24       Impact factor: 2.305

7.  Computational simulation methodologies for mechanobiological modelling: a cell-centred approach to neointima development in stents.

Authors:  C J Boyle; A B Lennon; M Early; D J Kelly; C Lally; P J Prendergast
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2010-06-28       Impact factor: 4.226

Review 8.  Biomechanical issues in endovascular device design.

Authors:  James E Moore
Journal:  J Endovasc Ther       Date:  2009-02       Impact factor: 3.487

9.  On the importance of modeling balloon folding, pleating, and stent crimping: An FE study comparing experimental inflation tests.

Authors:  Markus A Geith; Krzysztof Swidergal; Bernd Hochholdinger; Thomas G Schratzenstaller; Marcus Wagner; Gerhard A Holzapfel
Journal:  Int J Numer Method Biomed Eng       Date:  2019-11       Impact factor: 2.648

10.  Simulation of human atherosclerotic femoral plaque tissue: the influence of plaque material model on numerical results.

Authors:  Eoghan M Cunnane; John J E Mulvihill; Hilary E Barrett; Michael T Walsh
Journal:  Biomed Eng Online       Date:  2015-01-09       Impact factor: 2.819

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