Journal article
Stratification of a population of intracranial aneurysms using blood flow metrics
Computer methods in biomechanics and biomedical engineering, Vol.18(10), pp.1072-1082
07/27/2015
DOI: 10.1080/10255842.2013.869322
PMCID: PMC4261052
PMID: 24506436
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.
Details
- Title: Subtitle
- Stratification of a population of intracranial aneurysms using blood flow metrics
- Creators
- Rohini Retarekar - Department of Biomedical Engineering, University of IowaManasi Ramachandran - Department of Biomedical Engineering, University of IowaBenjamin Berkowitz - Department of Biomedical Engineering, University of IowaRobert E Harbaugh - Department of Neurosurgery, Penn State Milton S. Hershey Medical Center, Penn State UniversityDavid Hasan - Department of Neurosurgery, University of IowaRobert H Rosenwasser - Department of Neurological Surgery, Jefferson University Hospital, Thomas Jefferson UniversityChristopher S Ogilvy - Department of Neurosurgery, Massachusetts General HospitalMadhavan L Raghavan - Department of Biomedical Engineering, University of Iowa
- Resource Type
- Journal article
- Publication Details
- Computer methods in biomechanics and biomedical engineering, Vol.18(10), pp.1072-1082
- DOI
- 10.1080/10255842.2013.869322
- PMID
- 24506436
- PMCID
- PMC4261052
- NLM abbreviation
- Comput Methods Biomech Biomed Engin
- ISSN
- 1025-5842
- eISSN
- 1476-8259
- Publisher
- Taylor & Francis
- Language
- English
- Date published
- 07/27/2015
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Neurosurgery; Otolaryngology
- Record Identifier
- 9984040281702771
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