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Microsurgical Clip Obliteration of Middle Cerebral Aneurysm Using Intraoperative Flow Assessment
Published on: September 25, 2009
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.
Abstract:
Indices of the intra-aneurysm hemodynamic environment have been proposed as potentially indicative of their longitudinal outcome. To be useful, the indices need to be used to stratify large study populations and tested against known outcomes. The first objective was to compile the diverse hemodynamic indices reported in the literature. Furthermore, as morphology is often the only patient-specific information available in large population studies, the second objective was to assess how the ranking of aneurysms in a population is affected by the use of steady flow simulation as an approximation to pulsatile flow simulation, even though the former is clearly non-physiological. Sixteen indices of aneurysmal hemodynamics reported in the literature were compiled and refined where needed. It was noted that, in the literature, these global indices of flow were always time-averaged over the cardiac cycle. Steady and pulsatile flow simulations were performed on a population of 198 patient-specific and 30 idealised aneurysm models. All proposed hemodynamic indices were estimated and compared between the two simulations. It was found that steady and pulsatile flow simulations had a strong linear dependence (r ≥ 0.99 for 14 indices; r ≥ 0.97 for 2 others) and rank the aneurysms in an almost identical fashion (ρ ≥ 0.99 for 14 indices; ρ ≥ 0.96 for other 2). When geometry is the only measured piece of information available, stratification of aneurysms based on hemodynamic indices reduces to being a physically grounded substitute for stratification of aneurysms based on morphology. Under such circumstances, steady flow simulations may be just as effective as pulsatile flow simulation for estimating most key indices currently reported in the literature.
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