Stratification of a population of intracranial aneurysms using blood flow metrics

Rohini Retarekar1, Manasi Ramachandran, Benjamin Berkowitz

  • 1a Department of Biomedical Engineering , University of Iowa , Iowa City , IA 52242 , USA.

Insights

Steady flow simulations can effectively approximate pulsatile flow simulations for ranking brain aneurysms using hemodynamic indices. This finding simplifies large-scale studies where only aneurysm morphology is available, improving patient stratification.

Area of Science:

  • Biomedical Engineering
  • Fluid Dynamics
  • Medical Imaging

Background:

  • Intra-aneurysm hemodynamics are crucial for predicting brain aneurysm outcomes.
  • Current methods require complex pulsatile flow simulations, limiting large-scale population studies.
  • Aneurysm morphology is often the primary data available in population studies.

Purpose of the Study:

  • To compile and refine existing hemodynamic indices for intra-aneurysm analysis.
  • To evaluate the efficacy of steady flow simulations versus pulsatile flow simulations for aneurysm stratification.
  • To determine if simplified steady flow models can accurately rank aneurysms based on hemodynamic factors.

Main Methods:

  • Compiled and refined 16 hemodynamic indices from existing literature.
  • Performed both steady and pulsatile flow simulations on 198 patient-specific and 30 idealized aneurysm models.
  • Compared the resulting hemodynamic indices and aneurysm rankings between the two simulation types.

Main Results:

  • Strong linear dependence (r ≥ 0.97) and near-identical ranking (ρ ≥ 0.96) were observed between steady and pulsatile flow simulations for most indices.
  • Steady flow simulations provide a computationally efficient alternative for estimating key hemodynamic indices.
  • The findings suggest steady flow analysis is a viable proxy for pulsatile analysis in large-scale aneurysm studies.

Conclusions:

  • Steady flow simulations are a reliable and efficient substitute for pulsatile flow simulations in ranking brain aneurysms when only morphology data is available.
  • This simplification can facilitate large-scale population studies and improve aneurysm risk stratification.
  • Hemodynamic index stratification using simplified models offers a physically grounded approach comparable to morphological stratification.