Modeling of the Acute Effects of Primary Hypertension and Hypotension on the Hemodynamics of Intracranial Aneurysms

Ali Sarrami-Foroushani, Maria Cruz Villa-Uriol*, Mohsen Nasr Esfahany, Stuart C. Coley, Luigi Yuri Di Marco, Alejandro F. Frangi, Alberto Marzo

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Hemodynamics is a risk factor in intracranial aneurysms (IA). Hypertension and pharmacologically induced hypotension are common in IA patients. This study investigates how hypertension and hypotension may influence aneurysmal hemodynamics. Images of 23 IAs at typical locations were used to build patient-specific Computational Fluid Dynamics models. The effects of hypotension and hypertension were simulated through boundary conditions by modulating the normotensive flow and pressure waveforms, in turn produced by a 1D systemic vascular model. Aneurysm location and flow pattern types were used to categorize the influence of hypotension and hypertension on relevant flow variables (velocity, pressure and wall shear stress). Results indicate that, compared to other locations, vertebrobasilar aneurysms (VBA) are more sensitive to flow changes. In VBAs, space-averaged velocity at peak systole increased by 30% in hypertension (16–21% in other locations). Flow in VBAs in hypotension decreased by 20% (10–13% in other locations). Momentum-driven hemodynamic types were also more affected by hypotension and hypertension, than shear-driven types. This study shows how patient-specific modeling can be effectively used to identify location-specific flow patterns in a clinically-relevant study, thus reinforcing the role played by modeling technologies in furthering our understanding of cardiovascular disease, and their potential in future healthcare.

Original languageEnglish
Pages (from-to)207-221
Number of pages15
JournalAnnals of Biomedical Engineering
Volume43
Issue number1
Early online date13 Aug 2014
DOIs
Publication statusPublished - Jan 2015

Keywords

  • 1D circulation model
  • blood pressure
  • boundary conditions
  • cerebral vasculature
  • computational fluid dynamics
  • simulation
  • virtual physiological human
  • wall shear stress

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