Literature DB >> 23174422

High-resolution CFD detects high-frequency velocity fluctuations in bifurcation, but not sidewall, aneurysms.

Kristian Valen-Sendstad1, Kent-André Mardal, David A Steinman.   

Abstract

High-frequency flow fluctuations in intracranial aneurysms have previously been reported in vitro and in vivo. On the other hand, the vast majority of image-based computational fluid dynamics (CFD) studies of cerebral aneurysms report periodic, laminar flow. We have previously demonstrated that transitional flow, consistent with in vivo reports, can occur in a middle cerebral artery (MCA) bifurcation aneurysm when ultra-high-resolution direct numerical simulation methods are applied. The object of the present study was to investigate if such high-frequency flow fluctuations might be more widespread in adequately-resolved CFD models. A sample of N=12 anatomically realistic MCA aneurysms (five unruptured, seven ruptured), was digitally segmented from CT angiograms. Four were classified as sidewall aneurysms, the other eight as bifurcation aneurysms. Transient CFD simulations were carried out assuming a steady inflow velocity of 0.5m/s, corresponding to typical peak systolic conditions at the MCA. To allow for detection of clinically-reported high-frequency flow fluctuations and resulting flow structures, temporal and spatial resolutions of the CFD simulations were in the order of 0.1 ms and 0.1 mm, respectively. A transient flow response to the stationary inflow conditions was found in five of the 12 aneurysms, with energetic fluctuations up to 100 Hz, and in one case up to 900 Hz. Incidentally, all five were ruptured bifurcation aneurysms, whereas all four sidewall aneurysms, including one ruptured case, quickly reached a stable, steady state solution. Energetic, rapid fluctuations may be overlooked in CFD models of bifurcation aneurysms unless adequate temporal and spatial resolutions are used. Such fluctuations may be relevant to the mechanobiology of aneurysm rupture, and to a recently reported dichotomy between predictors of rupture likelihood for bifurcation vs. sidewall aneurysms.
Copyright © 2012 Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 23174422     DOI: 10.1016/j.jbiomech.2012.10.042

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  18 in total

1.  Flow Instability Detected by High-Resolution Computational Fluid Dynamics in Fifty-Six Middle Cerebral Artery Aneurysms.

Authors:  Nicole Varble; Jianping Xiang; Ning Lin; Elad Levy; Hui Meng
Journal:  J Biomech Eng       Date:  2016-06       Impact factor: 2.097

2.  Transitional flow in aneurysms and the computation of haemodynamic parameters.

Authors:  Christian Poelma; Paul N Watton; Yiannis Ventikos
Journal:  J R Soc Interface       Date:  2015-04-06       Impact factor: 4.118

Review 3.  What does computational fluid dynamics tell us about intracranial aneurysms? A meta-analysis and critical review.

Authors:  Khalid M Saqr; Sherif Rashad; Simon Tupin; Kuniyasu Niizuma; Tamer Hassan; Teiji Tominaga; Makoto Ohta
Journal:  J Cereb Blood Flow Metab       Date:  2019-06-18       Impact factor: 6.200

4.  A data-driven approach for addressing the lack of flow waveform data in studies of cerebral arterial flow in older adults.

Authors:  Michael J Durka; Isaac H Wong; David F Kallmes; Dario Pasalic; Fernando Mut; Manoj Jagani; Pablo J Blanco; Juan R Cebral; Anne M Robertson
Journal:  Physiol Meas       Date:  2018-02-01       Impact factor: 2.833

5.  Narrowing the Expertise Gap for Predicting Intracranial Aneurysm Hemodynamics: Impact of Solver Numerics versus Mesh and Time-Step Resolution.

Authors:  M O Khan; K Valen-Sendstad; D A Steinman
Journal:  AJNR Am J Neuroradiol       Date:  2015-03-05       Impact factor: 3.825

6.  The 'Sphere': A Dedicated Bifurcation Aneurysm Flow-Diverter Device.

Authors:  Thomas Peach; J Frederick Cornhill; Anh Nguyen; Howard Riina; Yiannis Ventikos
Journal:  Cardiovasc Eng Technol       Date:  2014-08-26       Impact factor: 2.495

Review 7.  Hemodynamic changes in a middle cerebral artery aneurysm at follow-up times before and after its rupture: a case report and a review of the literature.

Authors:  A Sejkorová; K D Dennis; H Švihlová; O Petr; G Lanzino; A Hejčl; D Dragomir-Daescu
Journal:  Neurosurg Rev       Date:  2016-11-24       Impact factor: 3.042

8.  The effect of inlet waveforms on computational hemodynamics of patient-specific intracranial aneurysms.

Authors:  J Xiang; A H Siddiqui; H Meng
Journal:  J Biomech       Date:  2014-10-13       Impact factor: 2.712

9.  Mind the gap: impact of computational fluid dynamics solution strategy on prediction of intracranial aneurysm hemodynamics and rupture status indicators.

Authors:  K Valen-Sendstad; D A Steinman
Journal:  AJNR Am J Neuroradiol       Date:  2013-11-14       Impact factor: 3.825

10.  Effect of bifurcation in the hemodynamic changes and rupture risk of small intracranial aneurysm.

Authors:  Seifollah Gholampour; Saeed Mehrjoo
Journal:  Neurosurg Rev       Date:  2020-08-16       Impact factor: 3.042

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