Literature DB >> 27048958

Hemodynamic differences between unstable and stable unruptured aneurysms independent of size and location: a pilot study.

Waleed Brinjikji1, Bong Jae Chung2, Carlos Jimenez3, Christopher Putman4, David F Kallmes1, Juan R Cebral2.   

Abstract

BACKGROUND: While clinical and angiographic risk factors for intracranial aneurysm instability are well established, it is reasonable to postulate that intra-aneurysmal hemodynamics also have a role in aneurysm instability.
OBJECTIVE: To identify hemodynamic characteristics that differ between radiologically unstable and stable unruptured intracranial aneurysms.
MATERIALS AND METHODS: 12 pairs of unruptured intracranial aneurysms with a 3D rotational angiographic set of images and followed up longitudinally without treatment were studied. Each pair consisted of one stable aneurysm (no change on serial imaging) and one unstable aneurysm (demonstrated growth of at least 1 mm diameter or ruptured during follow-up) of matching size (within 10%) and locations. Patient-specific computational fluid dynamics models were created and run under pulsatile flow conditions. Relevant hemodynamic and geometric variables were calculated and compared between groups using the paired Wilcoxon test.
RESULTS: The area of the aneurysm under low wall shear stress (low shear stress area (LSA)) was 2.26 times larger in unstable aneurysms than in stable aneurysms (p=0.0499). The mean aneurysm vorticity was smaller by a factor of 0.57 in unstable aneurysms compared with stable aneurysms (p=0.0499). No statistically significant differences in geometric variables or shape indices were found.
CONCLUSIONS: This pilot study suggests there may be hemodynamic differences between unstable and stable unruptured cerebral aneurysms. In particular, the area under low wall shear stress was larger in unstable aneurysms. These findings should be considered tentative until confirmed by future larger studies. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/.

Entities:  

Keywords:  Aneurysm; Subarachnoid

Mesh:

Year:  2016        PMID: 27048958     DOI: 10.1136/neurintsurg-2016-012327

Source DB:  PubMed          Journal:  J Neurointerv Surg        ISSN: 1759-8478            Impact factor:   5.836


  8 in total

1.  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

2.  Predisposing factors for recanalization of cerebral aneurysms after endovascular embolization: a multivariate study.

Authors:  Qianqian Zhang; Linkai Jing; Jian Liu; Kun Wang; Ying Zhang; Nikhil Paliwal; Hui Meng; Yang Wang; Shengzhang Wang; Xinjian Yang
Journal:  J Neurointerv Surg       Date:  2017-04-04       Impact factor: 5.836

3.  Risk factors for the progression of unruptured intracranial aneurysms in patients followed by CT/MR angiography.

Authors:  Guang-Xian Wang; Lan-Lan Liu; Yan Yang; Li Wen; Chun-Mei Duan; Jin-Bo Yin; Dong Zhang
Journal:  Quant Imaging Med Surg       Date:  2021-09

4.  Identification of Hostile Hemodynamics and Geometries of Cerebral Aneurysms: A Case-Control Study.

Authors:  B J Chung; F Mut; C M Putman; F Hamzei-Sichani; W Brinjikji; D Kallmes; C M Jimenez; J R Cebral
Journal:  AJNR Am J Neuroradiol       Date:  2018-08-30       Impact factor: 3.825

5.  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

6.  Identification of intra-individual variation in intracranial arterial flow by MRI and the effect on computed hemodynamic descriptors.

Authors:  Xinke Liu; Evan Kao; Henrik Haraldsson; Megan Ballweber; Alastair Martin; Youxiang Li; Yuting Wang; David Saloner
Journal:  MAGMA       Date:  2021-04-11       Impact factor: 2.533

7.  Definition and extraction of 2D shape indices of intracranial aneurysm necks for rupture risk assessment.

Authors:  Sarah Mittenentzwei; Oliver Beuing; Belal Neyazi; I Erol Sandalcioglu; Naomi Larsen; Bernhard Preim; Sylvia Saalfeld
Journal:  Int J Comput Assist Radiol Surg       Date:  2021-08-18       Impact factor: 2.924

8.  Weighted gene co-expression network analysis identified six hub genes associated with rupture of intracranial aneurysms.

Authors:  Qunhui Wang; Qi Luo; Zhongxi Yang; Yu-Hao Zhao; Jiaqi Li; Jian Wang; Jianmin Piao; Xuan Chen
Journal:  PLoS One       Date:  2020-02-21       Impact factor: 3.240

  8 in total

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