Quantification of near-wall hemodynamic risk factors in large-scale cerebral arterial trees

Mahsa Ghaffari1, Ali Alaraj1,2, Xinjian Du2

  • 1Department of Bioengineering, University of Illinois at Chicago, 851 S Morgan St, Chicago, IL, 60607, USA.

Insights

Simulating blood flow across the entire cerebral arterial tree reveals how local vascular diseases like aneurysms impact global circulation. This network analysis identifies hemodynamic risk factors and guides treatment strategies for cerebrovascular conditions.

Area of Science:

  • Biomedical Engineering
  • Medical Imaging
  • Fluid Dynamics

Background:

  • Hemodynamic analysis of localized vascular diseases provides insights into local flow patterns.
  • Cerebrovascular diseases like aneurysms and stenosis have both local and global circulatory effects.

Purpose of the Study:

  • To emphasize the necessity of subject-specific hemodynamic simulations across the entire cerebral arterial tree.
  • To evaluate hemodynamic risk factors and waveform characteristics throughout the cerebral vasculature.

Main Methods:

  • Acquired angioarchitecture and in vivo blood flow measurements from healthy and patient cohorts.
  • Developed large-scale, subject-specific hemodynamic simulations of the entire cerebral arterial tree.
  • Analyzed hemodynamic risk factors and waveform shape characteristics pre- and post-intervention.

Main Results:

  • A global map identified regions of varying hemodynamic risk contributing to cerebrovascular disease development.
  • Post-intervention analysis revealed significant angular phase shifts and increased peak-diastolic velocity.
  • Waveform analysis showed a 16.35% reduction in pulsatility index downstream from lesion sites.

Conclusions:

  • Pathological lesions impact proximal flow and induce downstream pulse wave shifts and disturbed flow.
  • Large-scale simulations are crucial for visualizing the local and global effects of vascular lesions.
  • Extended hemodynamic simulations enhance understanding and management of cerebrovascular diseases.

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