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

Author

Listed:
  • Michael Early
  • 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.

Suggested Citation

  • Michael Early & Catriona Lally & Patrick J. Prendergast & Daniel J. Kelly, 2009. "Stresses in peripheral arteries following stent placement: a finite element analysis," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 12(1), pages 25-33.
    • Handle: RePEc:taf:gcmbxx:v:12:y:2009:i:1:p:25-33
    DOI: 10.1080/10255840802136135
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    Cited by:

    1. David Martin & Fergal J. Boyle, 2011. "Computational structural modelling of coronary stent deployment: a review," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 14(04), pages 331-348.
    2. A. Bernardini & I. Larrabide & L. Petrini & G. Pennati & E. Flore & M. Kim & A. Frangi, 2012. "Deployment of self-expandable stents in aneurysmatic cerebral vessels: comparison of different computational approaches for interventional planning," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 15(3), pages 303-311.
    3. Ríona Ní Ghriallais & Mark Bruzzi, 2014. "Self-expanding stent modelling and radial force accuracy," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 17(4), pages 318-333, March.

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