Literature DB >> 23603173

Size ratio: a morphological factor predictive of the rupture of cerebral aneurysm?

Meihua Li1, Zhiqun Jiang, Huiqiang Yu, Tao Hong.   

Abstract

BACKGROUND: Determining factors predictive of the natural risk of rupture of cerebral aneurysms is difficult. We studied morphological factors associated with rupture in a study model of patients with mirror location intracranial aneurysms, one aneurysm that had ruptured and one that had not, each patient served as their own control attempting to eliminate confounding variables.
METHODS: We collected five one-dimensional measurements and four two-dimensional indices from three-dimensional rotational digital subtraction angiography images of patients in the proposed study model and explored their correlation with aneurysm rupture. Parameters were analyzed with a paired Student's t test for significance and significant parameters were further examined by multivariate conditional logistic regression analysis.
RESULTS: Fifty-two patients with 52 pairs of intracranial aneurysms in a mirror location were studied. The maximum perpendicular height, neck diameter, maximum width, maximum height, aspect ratio, size ratio, and bottleneck factor were significantly associated with ruptured aneurysms on bivariate analysis. A logistic regression analysis showed that only size ratio, which was defined as the ratio of the maximal height to parent artery average diameter, is independently correlated with ruptured intracranial aneurysms.
CONCLUSIONS: In a case-control study of patients with mirror location intracranial aneurysms, size ratio was identified as the unique morphological factor associate with the rupture of cerebral aneurysms.

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Mesh:

Year:  2013        PMID: 23603173     DOI: 10.1017/s0317167100014323

Source DB:  PubMed          Journal:  Can J Neurol Sci        ISSN: 0317-1671            Impact factor:   2.104


  7 in total

1.  Multiple intracranial aneurysms: a direct hemodynamic comparison between ruptured and unruptured vessel malformations.

Authors:  Philipp Berg; Oliver Beuing
Journal:  Int J Comput Assist Radiol Surg       Date:  2017-07-21       Impact factor: 2.924

2.  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

3.  Carotid and vertebral injury study (CAVIS) technique for characterization of blunt traumatic aneurysms with reliability assessment.

Authors:  Christoph J Griessenauer; Paul Foreman; Mohammadali M Shoja; Kimberly P Kicielinski; John P Deveikis; Beverly C Walters; Mark R Harrigan
Journal:  Interv Neuroradiol       Date:  2015-05-05       Impact factor: 1.610

4.  Hemodynamic-morphological discriminant models for intracranial aneurysm rupture remain stable with increasing sample size.

Authors:  Jianping Xiang; Jihnhee Yu; Kenneth V Snyder; Elad I Levy; Adnan H Siddiqui; Hui Meng
Journal:  J Neurointerv Surg       Date:  2014-12-08       Impact factor: 5.836

5.  Morphology Parameters for Mirror Posterior Communicating Artery Aneurysm Rupture Risk Assessment.

Authors:  Hao Jiang; Jian Shen; Yu-Xiang Weng; Jian-Wei Pan; Jian-Bo Yu; Zi-Ang Wan; Renya Zhan
Journal:  Neurol Med Chir (Tokyo)       Date:  2015-06-02       Impact factor: 1.742

6.  Rupture Risk Assessment for Mirror Aneurysms with Different Outcomes in the Same Patient.

Authors:  Zhongbin Tian; Yisen Zhang; Linkai Jing; Jian Liu; Ying Zhang; Xinjian Yang
Journal:  Front Neurol       Date:  2016-12-05       Impact factor: 4.003

7.  Asymmetrical middle cerebral artery bifurcations are more vulnerable to aneurysm formation.

Authors:  Xue-Jing Zhang; Wei-Li Hao; Dong-Hai Zhang; Bu-Lang Gao
Journal:  Sci Rep       Date:  2019-10-24       Impact factor: 4.379

  7 in total

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