Literature DB >> 14561606

Computational approach to quantifying hemodynamic forces in giant cerebral aneurysms.

Liang-Der Jou1, Christopher M Quick, William L Young, Michael T Lawton, Randall Higashida, Alastair Martin, David Saloner.   

Abstract

BACKGROUND AND
PURPOSE: The options for treating giant fusiform basilar aneurysms are limited, and the potential impact of planned interventions is difficult to assess. We developed a computational framework to evaluate the impact that interventions might have on hemodynamic conditions.
METHODS: A computational fluid dynamics approach was used to determine the velocity field, wall shear stress, and pressure distribution within a model of a basilar artery before and after a simulated occlusion of one vertebral artery. The vascular geometry in a patient with a giant fusiform basilar artery aneurysm was determined by using contrast-enhanced MR angiography, and the numerical simulation approach was used to calculate the flow fields in the presenting geometry and to predict the flow field that would occur if a vertebral artery were occluded.
RESULTS: In the model geometry, computational fluid dynamics indicated that there would be a symmetric flow pattern with a strong central stream and large recirculation zones at the walls. After simulated occlusion of one vertebral artery, the primary stream was diverted to one side, resulting in high pressure and increased wall shear stress. For the patient-specific geometry, flow patterns were shown to depend strongly on how much flow there was in each vertebral artery.
CONCLUSION: Contrast-enhanced MR angiography is an effective tool for demonstrating the luminal boundaries of large intracranial aneurysms. Computational fluid dynamics is a powerful tool for determining the prevailing flow conditions in vascular territories and for modeling the possible alterations of the flow field that would result from interventional treatments.

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Year:  2003        PMID: 14561606      PMCID: PMC7976294     

Source DB:  PubMed          Journal:  AJNR Am J Neuroradiol        ISSN: 0195-6108            Impact factor:   3.825


  11 in total

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  44 in total

1.  Computational fluid dynamics modeling of intracranial aneurysms: effects of parent artery segmentation on intra-aneurysmal hemodynamics.

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Journal:  AJNR Am J Neuroradiol       Date:  2006-09       Impact factor: 3.825

Review 2.  Intracranial aneurysms: links among inflammation, hemodynamics and vascular remodeling.

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Journal:  AJNR Am J Neuroradiol       Date:  2014-03-20       Impact factor: 3.825

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Authors:  J R Cebral; M A Castro; C M Putman; N Alperin
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5.  Association of hemodynamic characteristics and cerebral aneurysm rupture.

Authors:  J R Cebral; F Mut; J Weir; C M Putman
Journal:  AJNR Am J Neuroradiol       Date:  2010-11-04       Impact factor: 3.825

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Authors:  J R Cebral; S Hendrickson; C M Putman
Journal:  AJNR Am J Neuroradiol       Date:  2008-09-25       Impact factor: 3.825

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9.  Recent advances in the application of computational mechanics to the diagnosis and treatment of cardiovascular disease.

Authors:  Juan C Del Alamo; Alison L Marsden; Juan C Lasheras
Journal:  Rev Esp Cardiol       Date:  2009-07       Impact factor: 4.753

10.  Magnetic resonance flow velocity and temperature mapping of a shape memory polymer foam device.

Authors:  Ward Small; Erica Gjersing; Julie L Herberg; Thomas S Wilson; Duncan J Maitland
Journal:  Biomed Eng Online       Date:  2009-12-31       Impact factor: 2.819

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