Hemodynamic parameters and early intimal thickening in branching blood vessels

C Kleinstreuer1, S Hyun, J R Buchanan

  • 1Department of Mechanical and Aerospace Engineering, North Carolina State University, Raleigh 27695-7910, USA.

Insights

This study analyzes hemodynamic wall parameters to identify sites prone to intimal thickening in blood vessels. Redesigning vessel geometries based on these parameters may reduce restenosis and improve blood flow.

Area of Science:

  • Cardiovascular Science
  • Biomedical Engineering
  • Fluid Dynamics

Background:

  • Intimal thickening in blood vessels contributes to heart disease.
  • Current treatments for occluded vessels include angioplasty, bypass surgery, and endarterectomy.
  • Disturbed blood flow patterns are implicated in atherosclerosis and intimal hyperplasia.

Purpose of the Study:

  • To analyze hemodynamic wall parameters as indicators of intimal thickening.
  • To identify susceptible sites in branching blood vessels.
  • To explore vessel redesign for improved long-term patency.

Main Methods:

  • Analysis of hemodynamic wall parameters like wall shear stress (WSS), WSS gradient (WSSG), oscillatory shear index (OSI), and WSS angle gradient (WSSAG).
  • Comparison of parameters with experimental data from aortoceliac junctions.
  • Segmental averaging of OSI, wall particle density (WPD), and WSSAG for carotid artery bifurcations and comparison with clinical data.
  • Evaluation of graft-to-vein anastomosis in vascular access grafts.

Main Results:

  • Hemodynamic parameters were compared with experimental and clinical data for specific blood vessel geometries.
  • Identified correlations between hemodynamic parameters and sites of intimal thickening.
  • Demonstrated that redesigns reducing WSSG, WSSAG, and normal pressure gradient (NPG) decrease restenosis likelihood.

Conclusions:

  • Hemodynamic wall parameters can predict sites susceptible to intimal thickening.
  • Vessel redesign based on these parameters offers a strategy to reduce restenosis.
  • This approach has potential for early disease detection and improved vascular interventions.