On stent-graft models in thoracic aortic endovascular repair: A computational investigation of the hemodynamic factors

George S.K. Fung, S. K. Lam, Stephen W.K. Cheng, K. W. Chow

Research output: Contribution to journalArticlepeer-review

Abstract

In treating thoracic aortic diseases, endovascular repair involves the placement of a self-expanding stent-graft system across the diseased thoracic aorta. Computational fluid dynamic techniques are applied to model the blood flow by numerically solving the three-dimensional continuity equation and the time-dependent Navier-Stokes equations for an incompressible fluid. From our results, high blood pressure level and high systolic slope of the pressure waveform will significantly increase the drag force on a stent-graft whereas high blood viscosity causes only a mild increase. It indicates that hemodynamic factors might have an important impact on the drag force and thus play a significant role in the risk of stent-graft failure.

Original languageEnglish (US)
Pages (from-to)484-489
Number of pages6
JournalComputers in Biology and Medicine
Volume38
Issue number4
DOIs
StatePublished - Apr 2008

Keywords

  • Computational fluid dynamics
  • Endovascular repair
  • Hemodynamics
  • Stent-graft modeling

ASJC Scopus subject areas

  • Computer Science Applications
  • Health Informatics

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