Literature DB >> 28468927

Irregular Shape Identifies Ruptured Intracranial Aneurysm in Subarachnoid Hemorrhage Patients With Multiple Aneurysms.

Joel Björkman1, Juhana Frösen1, Olli Tähtinen1, Daan Backes1, Terhi Huttunen1, Jaakko Harju1, Jukka Huttunen1, Mitja I Kurki1, Mikael von Und Zu Fraunberg1, Timo Koivisto1, Hannu Manninen1, Juha E Jääskeläinen1, Antti E Lindgren2.   

Abstract

BACKGROUND AND
PURPOSE: We investigated which aneurysm-related risk factors for rupture best discriminate ruptured versus unruptured saccular intracranial aneurysms (sIAs) in subarachnoid hemorrhage patients with multiple sIAs.
METHODS: We included 264 subarachnoid hemorrhage patients with a ruptured sIA and at least one additional unruptured sIA, from the Kuopio Intracranial Aneurysm database from 2003 to 2015. These patients had 268 ruptured and 445 unruptured sIAs. Angiograms of the 713 sIAs were reevaluated for multiple variables describing aneurysm shape. Multivariate generalized linear mixed models were used to calculate odds ratios with corresponding 95% confidence intervals for the independent risk factors for aneurysm rupture.
RESULTS: In the multivariate analysis, only sIA size (P<0.004) and irregular shape (P<0.000) independently associated with sIA rupture. As an independent risk factor, irregular shape showed the strongest association with rupture (odds ratio 90.3; 95% confidence interval, 47.0-173.5). The sIA location, flow angles, bottleneck factor, or aspect ratio were not significantly associated with rupture.
CONCLUSIONS: Irregular shape may identify the ruptured sIA better than size in patients presenting with aSAH and multiple sIAs.
© 2017 American Heart Association, Inc.

Entities:  

Keywords:  Finland; intracranial aneurysm; microsurgery; risk factors; stroke; subarachnoid hemorrhage

Mesh:

Year:  2017        PMID: 28468927     DOI: 10.1161/STROKEAHA.117.017147

Source DB:  PubMed          Journal:  Stroke        ISSN: 0039-2499            Impact factor:   7.914


  19 in total

1.  Are hemodynamics of irregular small carotid-ophthalmic aneurysms different from those of regular ones and large aneurysms based on numerical simulation?

Authors:  Hailin Wan; Lei Huang; Liang Ge; Yeqing Jiang; Gaohui Li; Xiaochang Leng; Xiaoyuan Feng; Jianping Xiang; Xiaolong Zhang
Journal:  Neuroradiology       Date:  2020-01-10       Impact factor: 2.804

2.  Fusion of subarachnoid hemorrhage data and computed tomography angiography data is helpful to identify the rupture source in patients with multiple intracranial aneurysms.

Authors:  Anhui Yao; Liyun Jia; Jun Li; Benhan Wang; Jiashu Zhang; Zhe Xue; Kai Zhao; Yue Zhao; Na You; Jun Zhang; Bainan Xu
Journal:  Neurosurg Rev       Date:  2020-06-06       Impact factor: 3.042

3.  Novel Models for Identification of the Ruptured Aneurysm in Patients with Subarachnoid Hemorrhage with Multiple Aneurysms.

Authors:  H Rajabzadeh-Oghaz; J Wang; N Varble; S-I Sugiyama; A Shimizu; L Jing; J Liu; X Yang; A H Siddiqui; J M Davies; H Meng
Journal:  AJNR Am J Neuroradiol       Date:  2019-10-24       Impact factor: 3.825

4.  Machine Learning and Intracranial Aneurysms: From Detection to Outcome Prediction.

Authors:  Vittorio Stumpo; Victor E Staartjes; Giuseppe Esposito; Carlo Serra; Luca Regli; Alessandro Olivi; Carmelo Lucio Sturiale
Journal:  Acta Neurochir Suppl       Date:  2022

5.  Demographic and morphological characteristics associated with rupture status of anterior communicating artery aneurysms.

Authors:  Xiangke Ma; Yang Yang; Dongtao Liu; Yiming Zhou; Weihua Jia
Journal:  Neurosurg Rev       Date:  2019-01-31       Impact factor: 3.042

6.  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

7.  Adaptive Remodeling in the Elastase-induced Rabbit Aneurysms.

Authors:  C Sang; D F Kallmes; R Kadirvel; M J Durka; Y-H Ding; D Dai; S C Watkins; A M Robertson
Journal:  Exp Mech       Date:  2020-10-27       Impact factor: 2.808

8.  Identification of Small, Regularly Shaped Cerebral Aneurysms Prone to Rupture.

Authors:  S F Salimi Ashkezari; F Mut; M Slawski; C M Jimenez; A M Robertson; J R Cebral
Journal:  AJNR Am J Neuroradiol       Date:  2022-03-24       Impact factor: 3.825

9.  Aneurysm characteristics and risk of rebleeding after subarachnoid haemorrhage.

Authors:  Inez Koopman; Jacoba P Greving; Irene C van der Schaaf; Albert van der Zwan; Gabriel Je Rinkel; Mervyn DI Vergouwen
Journal:  Eur Stroke J       Date:  2018-10-08

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

Authors:  P Bhogal; M AlMatter; V Hellstern; O Ganslandt; H Bäzner; H Henkes; M Aguilar Pérez
Journal:  Surg Neurol Int       Date:  2018-01-10
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