Literature DB >> 18180916

Impact of aneurysmal geometry on intraaneurysmal flow: a computerized flow simulation study.

Istvan Szikora1, Gyorgy Paal, Adam Ugron, Ferenc Nasztanovics, Miklos Marosfoi, Zsolt Berentei, Zsolt Kulcsar, Wickly Lee, Imre Bojtar, Istvan Nyary.   

Abstract

INTRODUCTION: This study was performed to assess the effect of aneurysm geometry on parameters that may have an impact on the natural history of intracranial aneurysms, such as intraaneurysmal flow pressure and shear stress.
METHODS: Flow was simulated in 21 randomly selected aneurysms using finite volume modeling. Ten aneurysms were classified as side-wall aneurysms, with either single-sided or circumferential involvement of the parent artery wall, and 11 as bifurcation aneurysms (symmetric or asymmetric), with an axis either perpendicular or parallel to the parent artery. The flow patterns were classified as either jet or vortex types (with regular or irregular vortex flow). Pressures and shear stresses were characterized as evenly or unevenly distributed over the aneurysm wall and neck.
RESULTS: All side-wall and four of the bifurcation aneurysms with a perpendicular axis had a vortex type flow pattern and seven bifurcation aneurysms with a parallel axis (four symmetric and two asymmetric) had a jet flow pattern. Jet type flow was associated with an uneven pressure distribution in seven out of seven aneurysms. Vortex type flow resulted in an even pressure distribution in five out of six aneurysms with an irregular flow pattern and six out of eight with a regular flow pattern. No firm relationship could be established between any geometrical type and shear stress distribution. Only 1 of 14 aneurysms with a perpendicular axis, but 4 of 7 aneurysms with a parallel axis, had ruptured.
CONCLUSION: Aneurysm geometry does have an impact on flow conditions. Aneurysms with a main axis parallel to the parent artery have a tendency to have a jet flow pattern and uneven distribution of unsteady pressure. These aneurysms may have a higher rate of rupture as than those with a main axis perpendicular to the parent artery.

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Year:  2008        PMID: 18180916     DOI: 10.1007/s00234-007-0350-x

Source DB:  PubMed          Journal:  Neuroradiology        ISSN: 0028-3940            Impact factor:   2.804


  27 in total

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

Authors:  M A Castro; C M Putman; J R Cebral
Journal:  AJNR Am J Neuroradiol       Date:  2006-09       Impact factor: 3.825

2.  Unruptured intracranial aneurysms--risk of rupture and risks of surgical intervention.

Authors: 
Journal:  N Engl J Med       Date:  1998-12-10       Impact factor: 91.245

3.  Finite element methods in the simulation and analysis of intracranial blood flow.

Authors:  G N Foutrakis; H Yonas; R J Sclabassi
Journal:  Neurol Res       Date:  1997-04       Impact factor: 2.448

4.  In vitro study of haemodynamics in a giant saccular aneurysm model: influence of flow dynamics in the parent vessel and effects of coil embolisation.

Authors:  C M Strother
Journal:  Neuroradiology       Date:  1995-02       Impact factor: 2.804

5.  Saccular aneurysm formation in curved and bifurcating arteries.

Authors:  G N Foutrakis; H Yonas; R J Sclabassi
Journal:  AJNR Am J Neuroradiol       Date:  1999-08       Impact factor: 3.825

6.  Magnitude and role of wall shear stress on cerebral aneurysm: computational fluid dynamic study of 20 middle cerebral artery aneurysms.

Authors:  Masaaki Shojima; Marie Oshima; Kiyoshi Takagi; Ryo Torii; Motoharu Hayakawa; Kazuhiro Katada; Akio Morita; Takaaki Kirino
Journal:  Stroke       Date:  2004-11       Impact factor: 7.914

7.  Computational approach to quantifying hemodynamic forces in giant cerebral aneurysms.

Authors:  Liang-Der Jou; Christopher M Quick; William L Young; Michael T Lawton; Randall Higashida; Alastair Martin; David Saloner
Journal:  AJNR Am J Neuroradiol       Date:  2003-10       Impact factor: 3.825

8.  Flow in experimental berry aneurysms: method and model.

Authors:  C W Kerber; C B Heilman
Journal:  AJNR Am J Neuroradiol       Date:  1983 May-Jun       Impact factor: 3.825

9.  Computational replicas: anatomic reconstructions of cerebral vessels as volume numerical grids at three-dimensional angiography.

Authors:  Tamer Hassan; Eugene V Timofeev; Tsutomu Saito; Hiroaki Shimizu; Masayuki Ezura; Teiji Tominaga; Akira Takahashi; Kazuyoshi Takayama
Journal:  AJNR Am J Neuroradiol       Date:  2004-09       Impact factor: 3.825

10.  Computer modeling of intracranial saccular and lateral aneurysms for the study of their hemodynamics.

Authors:  A C Burleson; C M Strother; V T Turitto
Journal:  Neurosurgery       Date:  1995-10       Impact factor: 4.654

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  18 in total

1.  Quantitative and Qualitative Comparison of 4D-DSA with 3D-DSA Using Computational Fluid Dynamics Simulations in Cerebral Aneurysms.

Authors:  S Lang; P Hoelter; A I Birkhold; M Schmidt; J Endres; C Strother; A Doerfler; H Luecking
Journal:  AJNR Am J Neuroradiol       Date:  2019-09       Impact factor: 3.825

2.  Measurement of flow diverter hydraulic resistance to model flow modification in and around intracranial aneurysms.

Authors:  Adám Ugron; István Szikora; György Paál
Journal:  Interv Med Appl Sci       Date:  2014-06-04

3.  Hemodynamics of Focal Versus Global Growth of Small Cerebral Aneurysms.

Authors:  Paolo Machi; Rafik Ouared; Olivier Brina; Pierre Bouillot; Hasan Yilmaz; Maria I Vargas; Renato Gondar; Philippe Bijlenga; Karl O Lovblad; Zsolt Kulcsár
Journal:  Clin Neuroradiol       Date:  2017-12-05       Impact factor: 3.649

4.  Inflow hemodynamics evaluated by using four-dimensional flow magnetic resonance imaging and the size ratio of unruptured cerebral aneurysms.

Authors:  Kazuya Futami; Iku Nambu; Tomohiro Kitabayashi; Hiroki Sano; Kouichi Misaki; Naoyuki Uchiyama; Mitsutoshi Nakada
Journal:  Neuroradiology       Date:  2017-03-07       Impact factor: 2.804

Review 5.  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

Review 6.  Physical factors effecting cerebral aneurysm pathophysiology.

Authors:  Chander Sadasivan; David J Fiorella; Henry H Woo; Baruch B Lieber
Journal:  Ann Biomed Eng       Date:  2013-04-03       Impact factor: 3.934

7.  In vivo hemodynamic analysis of intracranial aneurysms obtained by magnetic resonance fluid dynamics (MRFD) based on time-resolved three-dimensional phase-contrast MRI.

Authors:  Haruo Isoda; Yasuhide Ohkura; Takashi Kosugi; Masaya Hirano; Hiroyasu Takeda; Hisaya Hiramatsu; Shuhei Yamashita; Yasuo Takehara; Marcus T Alley; Roland Bammer; Norbert J Pelc; Hiroki Namba; Harumi Sakahara
Journal:  Neuroradiology       Date:  2009-12-11       Impact factor: 2.804

8.  Rest versus exercise hemodynamics for middle cerebral artery aneurysms: a computational study.

Authors:  T J Bowker; P N Watton; P E Summers; J V Byrne; Y Ventikos
Journal:  AJNR Am J Neuroradiol       Date:  2009-12-03       Impact factor: 3.825

9.  Comparison of hemodynamics of intracranial aneurysms between MR fluid dynamics using 3D cine phase-contrast MRI and MR-based computational fluid dynamics.

Authors:  Haruo Isoda; Yasuhide Ohkura; Takashi Kosugi; Masaya Hirano; Marcus T Alley; Roland Bammer; Norbert J Pelc; Hiroki Namba; Harumi Sakahara
Journal:  Neuroradiology       Date:  2009-12-05       Impact factor: 2.804

Review 10.  Suggested connections between risk factors of intracranial aneurysms: a review.

Authors:  Juan R Cebral; Marcelo Raschi
Journal:  Ann Biomed Eng       Date:  2012-12-14       Impact factor: 3.934

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