Computational fluid dynamics tools can be used to predict the progression of coronary artery disease

A. Ümit Coşkun, Caixia Chen, Peter H. Stone and Charles L. Feldman

Physica A: Statistical Mechanics and its Applications, 2006, vol. 362, issue 1, 182-190

Abstract: Atherosclerosis is focal and individual plaques evolve in an independent manner. The endothelium regulates arterial behavior by responding to its local shear stress. In vitro studies indicate that low endothelial shear stress (ESS) upregulates the genetic and molecular responses leading to the initiation and progression of atherosclerosis and promotes inflammation and formation of other features characteristic of vulnerable plaque. Physiologic ESS is vasculoprotective and fosters quiescence of the endothelium and vascular wall. High ESS promotes platelet aggregation. ESS and vascular wall morphology along the course of human coronary arteries can now be characterized in vivo, and may predict the focal areas in which atherosclerosis progression occurs. Rapidly evolving methodologies are able to characterize the arterial wall and the local hemodynamic factors likely responsible for progression of coronary disease in man. These new diagnostic modalities allow for identification of plaque progression. Accurate identification of arterial segments at high-risk for progression may permit pre-emptive intervention strategies to avoid adverse coronary events.

Keywords: Atherosclerosis; Blood flow simulation; Coronary artery disease; Endothelial shear stress; Hemodynamics; Lattice Boltzmann equations; Navier–Stokes equations (search for similar items in EconPapers)
Date: 2006
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S037843710500943X
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:362:y:2006:i:1:p:182-190

DOI: 10.1016/j.physa.2005.09.010

Access Statistics for this article

Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().