title: Wall shear stress gradient analysis within an idealized stenosis using non-Newtonian flow.
abstract: OBJECTIVE
  The endothelium is functionally regulated by the magnitude and spatiotemporal gradients of wall shear stress (WSS). Although flow separation and reversal occur beyond high-grade stenoses, little is known of the WSS pattern within clinically relevant mild to moderate stenoses.
  
  
  METHODS
  An axisymmetric geometry with 25, 50, and 75% stenosis criteria (quantified in accordance with the North American Symptomatic Carotid Endarterectomy Trial) was used to generate a high-resolution, hybrid, tetrahedral-hexahedral computational mesh with boundary-layer enrichment to improve near-wall shear stress gradient (WSSG) computation. Time-dependent computational fluid dynamic analysis was performed using a non-Newtonian Carreau-Yasuda model of blood to yield the shear-dependent viscosity.
  
  
  RESULTS
  Transition to secondary flow patterns was demonstrated in stenoses of 25, 50, and 75%. A focal region with near-wall flow reversal and retrograde WSS was identified within the stenosis itself and was found to migrate cyclically during the cardiac pulse. A zone of zero WSS and divergent WSSG that shifts in toward the throat with increasing stenotic severity was identified. Focal zones of high WSSG with converging and/or diverging direction were uncovered within the stenosis itself, as were expected changes in the distal poststenotic region. These zones of divergent WSSG shift over a substantial length of the stenosis during the course of the cardiac cycle.
  
  
  CONCLUSIONS
  Luminal WSS demonstrates dynamic direction reversal and high spatial gradients within the distal stenosis throat of even clinically moderate lesions. These findings shed light on the complex vessel wall hemodynamics within clinical stenoses and reveal a mechanical microenvironment that is conducive to perpetual endothelial functional dysregulation and stenosis progression.
authors.affiliation: Cerebrovascular and Endovascular Division, Department of Neurosurgery, Tufts-New England Medical Center and Tufts University School of Medicine, Boston, Massachusetts, USA.
authors.forename: Clemens M
authors.initials: CM
authors.lastname: Schirmer
authors.forename: Adel M
authors.initials: AM
authors.lastname: Malek
mesh_terms: D001783:Blood Flow Velocity / Q000502:physiology; D016893:Carotid Stenosis / Q000175:diagnosis / Q000503:physiopathology*; D008955:Models, Cardiovascular; D033081:Shear Strength; D013314:Stress, Mechanical