Coils vs stents: Lagrangian-tracking investigation of the mechanisms of healing for endovascular therapies in cerebral aneurysms

ORAL

Abstract

We study the success of treatment in endovascularly treated cerebral aneurysms by means of Lagrangian tracking of platelets in CFD simulations of blood flow in patient-specific models. Flow-diverting stents (FDS) or coils can lead to aggregation of activated platelets and formation of a stable thrombus that fully occludes the aneurysm. However, there is currently no accurate method to predict the outcome of either endovascular therapy. We propose a series of Lagrangian metrics, based on trajectories of tracer particles introduced in the intracerebral vasculature, to understand the hemodynamics conditions that lead to stable thrombus formation as opposed to conditions that lead to incomplete embolization. We consider the two forms of therapies separately, using platelet residence time and shear history to complement Eulerian metrics that have traditionally been used to understand hemodynamics in intracranial aneurysms: Wall Shear Stress, WSS gradient, flow rate through the neck. We develop accurate predictors of outcomes for each endovascular treatment, using a large population of \textgreater 50 patients to validate them. your abstract body.

*Funded by: National Institute of Neurological Disorders and Stroke (NIH-NINDS R01S08807), National Science Foundation (NSF CBET-0748133), American Heart Association Postdoctoral Fellowship (16POST30520004)

Authors

  • Laurel Marsh

    • University of Washington
    • Univ of Washington
  • Michael Barbour

    • University of Washington
    • Univ of Washington
  • Fanette Chassagne

    • University of Washington
    • University of Washington, Seattle, WA, USA
  • Venkat Keshav Chivukula

    • University of Washington
    • Univ of Washington
  • Cory Kelly

    • Univ of Washington Medical Center
  • Sam Levy

    • University of Washington Medical Center, Stroke and Applied Neuroscience Center
    • Univ of Washington Medical Center
  • Micheal Levitt

    • Univ of Washington Medical Center
  • Louis Kim

    • Univ of Washington Medical Center
  • Alberto Aliseda

    • University of Washington, Seattle, WA, USA
    • University of Washington, Seattle, WA
    • University of Washington
    • Department of Mechanical Engineering, University of Washington
    • Univ of Washington