Computational Fluid Dynamics Analysis of Cerebrovascular Hemodynamic Differences in Adults with Sickle Cell Disease:

Lara Abdelmohsen1, Anyssa Oden1, Tamer S Ibrahim2

  • 1Department of Biomedical Engineering, Carnegie Mellon University, 346 Hamerschlag Dr, Pittsburgh, 15213, PA, USA.

Insights

Adult sickle cell disease (SCD) patients show distinct cerebral blood flow patterns. These hemodynamic differences in the Circle of Willis may help predict stroke risk and guide future adult stroke prevention strategies.

Area of Science:

  • Neurology
  • Cardiovascular Science
  • Biomedical Engineering

Background:

  • Sickle cell disease (SCD) poses a lifelong risk of cerebrovascular disease, particularly stroke, affecting patients from childhood to adulthood.
  • Current stroke prevention guidelines, like those using transcranial Doppler ultrasound (TCD), are limited to pediatric populations, creating a critical gap for adult SCD patients.
  • Understanding cerebral hemodynamics in the Circle of Willis (CoW) is crucial for developing effective risk stratification and treatment strategies for adults with SCD.

Purpose of the Study:

  • To characterize the cerebral hemodynamic differences in the Circle of Willis (CoW) of adult patients with sickle cell disease (SCD).
  • To provide data supporting the development of future stroke risk stratification and personalized treatment guidelines for adults with SCD.
  • To investigate how cerebrovascular disease and stroke impact cerebral blood flow dynamics in the CoW.

Main Methods:

  • Utilized patient-specific, 3D vascular geometries derived from high-resolution magnetic resonance imaging for numerical simulations.
  • Included three groups: healthy controls (n=3), SCD patients without a history of stroke (n=3), and SCD patients with a history of stroke (n=3).
  • Quantified key hemodynamic parameters: time-averaged wall shear stress (TAWSS), surface area exposed to low/high WSS, time-averaged mean of maximum velocity (TAMMV), and pressure drop across the CoW.

Main Results:

  • SCD patients post-stroke exhibited lower TAMMV at TCD-equivalent CoW locations and the lowest average TAWSS, with the largest area exposed to low WSS (<1 Pa).
  • SCD patients without stroke showed the highest TAWSS and the greatest area exposed to high WSS (>7 Pa).
  • Despite comparable total cerebral blood flow to controls, post-stroke patients demonstrated a reduced pressure drop across the CoW.

Conclusions:

  • Patient-specific computational fluid dynamics simulations effectively quantify cerebral hemodynamics in adults with SCD.
  • The study reveals distinct hemodynamic alterations associated with stroke in adult SCD patients.
  • Findings can inform future stroke risk assessment and the development of personalized treatment strategies for this population.
Abstract

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