Literature DB >> 26089313

Hemodynamic Differences in Intracranial Aneurysms before and after Rupture.

B M W Cornelissen1, J J Schneiders2, W V Potters2, R van den Berg2, B K Velthuis3, G J E Rinkel4, C H Slump5, E VanBavel6, C B L M Majoie2, H A Marquering7.   

Abstract

BACKGROUND AND
PURPOSE: Rupture risk of intracranial aneurysms may depend on hemodynamic characteristics. This has been assessed by comparing hemodynamic data of ruptured and unruptured aneurysms. However, aneurysm geometry may change before, during, or just after rupture; this difference causes potential changes in hemodynamics. We assessed changes in hemodynamics in a series of intracranial aneurysms, by using 3D imaging before and after rupture.
MATERIALS AND METHODS: For 9 aneurysms in 9 patients, we used MRA, CTA, and 3D rotational angiography before and after rupture to generate geometric models of the aneurysm and perianeurysmal vasculature. Intra-aneurysmal hemodynamics were simulated by using computational fluid dynamics. Two neuroradiologists qualitatively assessed flow complexity, flow stability, inflow concentration, and flow impingement in consensus, by using flow-velocity streamlines and wall shear stress distributions.
RESULTS: Hemodynamics changed in 6 of the 9 aneurysms. The median time between imaging before and after rupture was 678 days (range, 14-1461 days) in these 6 cases, compared with 151 days (range, 34-183 days) in the 3 cases with unaltered hemodynamics. Changes were observed for flow complexity (n = 3), flow stability (n = 3), inflow concentration (n = 2), and region of flow impingement (n = 3). These changes were in all instances associated with aneurysm displacement due to rupture-related hematomas, growth, or newly formed lobulations.
CONCLUSIONS: Hemodynamic characteristics of intracranial aneurysms can be altered by geometric changes before, during, or just after rupture. Associations of hemodynamic characteristics with aneurysm rupture obtained from case-control studies comparing ruptured with unruptured aneurysms should therefore be interpreted with caution.
© 2015 by American Journal of Neuroradiology.

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Year:  2015        PMID: 26089313      PMCID: PMC7965049          DOI: 10.3174/ajnr.A4385

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


  34 in total

Review 1.  An image-based modeling framework for patient-specific computational hemodynamics.

Authors:  Luca Antiga; Marina Piccinelli; Lorenzo Botti; Bogdan Ene-Iordache; Andrea Remuzzi; David A Steinman
Journal:  Med Biol Eng Comput       Date:  2008-11-11       Impact factor: 2.602

2.  Difference in aneurysm characteristics between ruptured and unruptured aneurysms in patients with multiple intracranial aneurysms.

Authors:  Daan Backes; Mervyn D I Vergouwen; Birgitta K Velthuis; Irene C van der Schaaf; A Stijntje E Bor; Ale Algra; Gabriel J E Rinkel
Journal:  Stroke       Date:  2014-03-20       Impact factor: 7.914

Review 3.  Prevalence of unruptured intracranial aneurysms, with emphasis on sex, age, comorbidity, country, and time period: a systematic review and meta-analysis.

Authors:  Monique Hm Vlak; Ale Algra; Raya Brandenburg; Gabriël Je Rinkel
Journal:  Lancet Neurol       Date:  2011-07       Impact factor: 44.182

4.  Intracranial aneurysm neck size overestimation with 3D rotational angiography: the impact on intra-aneurysmal hemodynamics simulated with computational fluid dynamics.

Authors:  J J Schneiders; H A Marquering; L Antiga; R van den Berg; E VanBavel; C B Majoie
Journal:  AJNR Am J Neuroradiol       Date:  2012-08-16       Impact factor: 3.825

5.  Efficient pipeline for image-based patient-specific analysis of cerebral aneurysm hemodynamics: technique and sensitivity.

Authors:  Juan R Cebral; Marcelo A Castro; Sunil Appanaboyina; Christopher M Putman; Daniel Millan; Alejandro F Frangi
Journal:  IEEE Trans Med Imaging       Date:  2005-04       Impact factor: 10.048

6.  Unruptured cerebral aneurysms do not shrink when they rupture: multicenter collaborative aneurysm study group.

Authors:  Maryam Rahman; Christopher S Ogilvy; Gregory J Zipfel; Colin P Derdeyn; Adnan H Siddiqui; Ketan R Bulsara; Louis J Kim; Howard A Riina; J Mocco; Brian L Hoh
Journal:  Neurosurgery       Date:  2011-01       Impact factor: 4.654

7.  Validation of CFD simulations of cerebral aneurysms with implication of geometric variations.

Authors:  Yiemeng Hoi; Scott H Woodward; Minsuok Kim; Dale B Taulbee; Hui Meng
Journal:  J Biomech Eng       Date:  2006-12       Impact factor: 2.097

8.  Hemodynamic characteristics of large unruptured internal carotid artery aneurysms prior to rupture: a case control study.

Authors:  Jian Liu; Jixing Fan; Jianping Xiang; Ying Zhang; Xinjian Yang
Journal:  J Neurointerv Surg       Date:  2015-02-04       Impact factor: 5.836

9.  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

10.  Changes in wall shear stress magnitude after aneurysm rupture.

Authors:  Kenichi Kono; Nagatsuki Tomura; Ryo Yoshimura; Tomoaki Terada
Journal:  Acta Neurochir (Wien)       Date:  2013-05-29       Impact factor: 2.216

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  7 in total

Review 1.  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

Review 2.  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

3.  Identification of Vortex Cores in Cerebral Aneurysms on 4D Flow MRI.

Authors:  K Futami; T Uno; K Misaki; S Tamai; I Nambu; N Uchiyama; M Nakada
Journal:  AJNR Am J Neuroradiol       Date:  2019-11-21       Impact factor: 3.825

4.  Machine Learning Classification of Cerebral Aneurysm Rupture Status with Morphologic Variables and Hemodynamic Parameters.

Authors:  Satoru Tanioka; Fujimaro Ishida; Atsushi Yamamoto; Shigetoshi Shimizu; Hiroshi Sakaida; Mitsuru Toyoda; Nobuhisa Kashiwagi; Hidenori Suzuki
Journal:  Radiol Artif Intell       Date:  2020-01-15

5.  Knowledge framework and emerging trends in intracranial aneurysm magnetic resonance angiography: a scientometric analysis from 2004 to 2020.

Authors:  Jiazhen Zheng; Rui Zhou; Bingyao Meng; Furong Li; Huamin Liu; Xianbo Wu
Journal:  Quant Imaging Med Surg       Date:  2021-05

Review 6.  Low wall shear stress is associated with the rupture of intracranial aneurysm with known rupture point: case report and literature review.

Authors:  Yisen Zhang; Linkai Jing; Ying Zhang; Jian Liu; Xinjian Yang
Journal:  BMC Neurol       Date:  2016-11-18       Impact factor: 2.474

7.  Solitonic Windkessel Model for Intracranial Aneurysm.

Authors:  Hiroshi Ujiie; Yoritaka Iwata
Journal:  Brain Sci       Date:  2022-07-31
  7 in total

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