Hemodynamics in growing and stable cerebral aneurysms. (4th February 2015)
- Record Type:
- Journal Article
- Title:
- Hemodynamics in growing and stable cerebral aneurysms. (4th February 2015)
- Main Title:
- Hemodynamics in growing and stable cerebral aneurysms
- Authors:
- Sforza, Daniel M
Kono, Kenichi
Tateshima, Satoshi
Viñuela, Fernando
Putman, Christopher
Cebral, Juan R - Abstract:
- Abstract : Objective: The detailed mechanisms of cerebral aneurysm evolution are poorly understood but are important for objective aneurysm evaluation and improved patient management. The purpose of this study was to identify hemodynamic conditions that may predispose aneurysms to growth. Methods: A total of 33 intracranial unruptured aneurysms longitudinally followed with three-dimensional imaging were studied. Patient-specific computational fluid dynamics models were constructed and used to quantitatively characterize the hemodynamic environments of these aneurysms. Hemodynamic characteristics of growing (n=16) and stable (n=17) aneurysms were compared. Logistic regression statistical models were constructed to test the predictability of aneurysm growth by hemodynamic features. Results: Growing aneurysms had significantly smaller shear rate ratios (p=0.01), higher concentration of wall shear stress (p=0.03), smaller vorticity ratios (p=0.01), and smaller viscous dissipation ratios (p=0.01) than stable aneurysms. They also tended to have larger areas under low wall shear stress (p=0.06) and larger aspect ratios (p=0.18), but these trends were not significant. Mean wall shear stress was not significantly different between growing and stable aneurysms. Logistic regression models based on hemodynamic variables were able to discriminate between growing and stable aneurysms with a high degree of accuracy (94–100%). Conclusions: Growing aneurysms tend to have complexAbstract : Objective: The detailed mechanisms of cerebral aneurysm evolution are poorly understood but are important for objective aneurysm evaluation and improved patient management. The purpose of this study was to identify hemodynamic conditions that may predispose aneurysms to growth. Methods: A total of 33 intracranial unruptured aneurysms longitudinally followed with three-dimensional imaging were studied. Patient-specific computational fluid dynamics models were constructed and used to quantitatively characterize the hemodynamic environments of these aneurysms. Hemodynamic characteristics of growing (n=16) and stable (n=17) aneurysms were compared. Logistic regression statistical models were constructed to test the predictability of aneurysm growth by hemodynamic features. Results: Growing aneurysms had significantly smaller shear rate ratios (p=0.01), higher concentration of wall shear stress (p=0.03), smaller vorticity ratios (p=0.01), and smaller viscous dissipation ratios (p=0.01) than stable aneurysms. They also tended to have larger areas under low wall shear stress (p=0.06) and larger aspect ratios (p=0.18), but these trends were not significant. Mean wall shear stress was not significantly different between growing and stable aneurysms. Logistic regression models based on hemodynamic variables were able to discriminate between growing and stable aneurysms with a high degree of accuracy (94–100%). Conclusions: Growing aneurysms tend to have complex intrasaccular flow patterns that induce non-uniform wall shear stress distributions with areas of concentrated high wall shear stress and large areas of low wall shear stress. Statistical models based on hemodynamic features seem capable of discriminating between growing and stable aneurysms. … (more)
- Is Part Of:
- Journal of neurointerventional surgery. Volume 8:Number 4(2016)
- Journal:
- Journal of neurointerventional surgery
- Issue:
- Volume 8:Number 4(2016)
- Issue Display:
- Volume 8, Issue 4 (2016)
- Year:
- 2016
- Volume:
- 8
- Issue:
- 4
- Issue Sort Value:
- 2016-0008-0004-0000
- Page Start:
- 407
- Page End:
- 412
- Publication Date:
- 2015-02-04
- Subjects:
- Hemodynamics -- Aneurysms -- Computational Fluid Dynamics
Nervous system -- Surgery -- Periodicals
Cerebrovascular disease -- Surgery -- Periodicals
617.48 - Journal URLs:
- http://www.bmj.com/archive ↗
http://jnis.bmj.com/ ↗ - DOI:
- 10.1136/neurintsurg-2014-011339 ↗
- Languages:
- English
- ISSNs:
- 1759-8478
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 19126.xml