The influence of vascular anatomy on carotid artery stenting: a parametric study for damage assessment

F Iannaccone1, N Debusschere1, S De Bock1

  • 1IbiTech-bioMMeda, Department of Electronics and Information Systems, iMinds Future Health Department, Ghent University, Belgium.

Journal of Biomechanics
|February 1, 2014
PubMed

Insights

Carotid artery stenting outcomes depend on plaque characteristics. Finite element simulations reveal that plaque morphology influences lumen gain and vessel stress, impacting stenting success.

Area of Science:

  • Biomedical Engineering
  • Cardiovascular Research
  • Computational Mechanics

Background:

  • Carotid artery stenting (CAS) is an alternative to surgery for severe carotid stenosis.
  • Plaque morphology and biomechanical changes during CAS can lead to treatment failure.
  • Understanding these factors is crucial for improving CAS outcomes.

Purpose of the Study:

  • To investigate the impact of atherosclerotic plaque characteristics on carotid artery stenting outcomes.
  • To simulate the stenting procedure using finite element analysis (FEA) with a damage model.
  • To analyze the relationship between plaque features, lumen gain, and wall stresses.

Main Methods:

  • Developed a virtual environment using structural finite element simulations.
  • Emulated CAS on generalized atherosclerotic carotid geometries with varying plaque properties (material and geometry).
  • Simulated five lesion scenarios representing vulnerable and stable plaques, quantifying vessel injury.

Main Results:

  • Elliptical lumen shape and thinner fibrous caps with lipid pools enhance stenosis reduction.
  • Calcifications and fibrotic tissue increase plaque recoil.
  • Thicker fibrous caps reduce compressive stress on soft plaques; soft plaques minimize damage to healthy vessels.
  • Hard plaques decrease fibrous cap damage but increase stress in the media-intima layer.

Conclusions:

  • Plaque composition significantly influences CAS success by affecting lumen gain and biomechanical stress.
  • FEA provides valuable insights into predicting CAS outcomes based on lesion characteristics.
  • Findings can inform clinical decisions and device development for carotid artery stenting.

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