Document Type
Article
Publication Date
7-27-2015
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.
Recommended Citation
Retarekar, Rohini; Ramachandran, Manasi; Berkowitz, Benjamin; Harbaugh, Robert E.; Hasan, David; Rosenwasswer, Robert H.; Ogilvy, Christopher S.; and Raghavan, Madhavan L., "Stratification of a population of intracranial aneurysms using blood flow metrics." (2015). Department of Neurosurgery Faculty Papers. Paper 80.
https://jdc.jefferson.edu/neurosurgeryfp/80
PubMed ID
24506436
Comments
This article has been peer reviewed. It is the authors' final version prior to publication in Computer Methods in Biomechanics and Biomedical Engineering
Volume 18, Issue 10, July 2015, Pages 1072-1082.
The published version is available at DOI: 10.1080/10255842.2013.869322 Copyright © Taylor & Francis