Literature DB >> 27073241

Irregular Shape of Intracranial Aneurysm Indicates Rupture Risk Irrespective of Size in a Population-Based Cohort.

Antti E Lindgren1, Timo Koivisto1, Joel Björkman1, Mikael von Und Zu Fraunberg1, Katariina Helin1, Juha E Jääskeläinen1, Juhana Frösen2.   

Abstract

BACKGROUND AND
PURPOSE: Size and shape of saccular intracranial aneurysms (sIA) reflect the condition of the sIA wall and were risk factors for rupture in previous follow-up studies. We investigated how well size or shape identify rupture-prone sIAs.
METHODS: In a population-based registry, we investigated the characteristics of ruptured sIAs treated in a single neurosurgical center (1980-2014). In addition to univariate analysis, logistic regression was used in multivariate analysis, and sensitivity and specificity of size or shape were calculated using receiver operating characteristic curves.
RESULTS: Ruptured sIAs were on average larger than unruptured sIAs (median, 7 versus 4 mm; P<0.000), but location and patient background affected the size at rupture. Of the ruptured sIAs, 38% were smaller than 7 mm and 18% were smaller than 4 mm. Of those sIAs that had ruptured at a small (<7 mm) size, 87% had an irregular shape. In multivariate analysis, irregular shape had the strongest association with presentation as ruptured sIA (odds ratio, 7.1; 95% confidence interval, 6.0-8.3), with better sensitivity (91%) and specificity (76%), in contrast to smoking (odds ratio, 0.7; 95% confidence interval, 0.6-0.9; sensitivity, 28%; specificity 57%) and Population, Hypertension, Age, Size of sIA, Earlier SAH from another sIA, Site of sIA score (odds ratio, 1.5; 95% confidence interval, 1.4-1.6).
CONCLUSIONS: Irregular or multilobular shape is strongly associated with rupture in sIAs of all sizes and independent of location and patient background. Especially sIAs with irregular shape should be considered as high rupture risk lesions, even if small in diameter and in nonsmoking patients with low PHASES scores.
© 2016 American Heart Association, Inc.

Entities:  

Keywords:  aneurysm; intracranial aneurysm; registries; rupture; subarachnoid hemorrhage

Mesh:

Year:  2016        PMID: 27073241     DOI: 10.1161/STROKEAHA.115.012404

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


  43 in total

Review 1.  Flow-induced, inflammation-mediated arterial wall remodeling in the formation and progression of intracranial aneurysms.

Authors:  Juhana Frösen; Juan Cebral; Anne M Robertson; Tomohiro Aoki
Journal:  Neurosurg Focus       Date:  2019-07-01       Impact factor: 4.047

2.  Deep Learning-Based Detection of Intracranial Aneurysms in 3D TOF-MRA.

Authors:  T Sichtermann; A Faron; R Sijben; N Teichert; J Freiherr; M Wiesmann
Journal:  AJNR Am J Neuroradiol       Date:  2018-12-20       Impact factor: 3.825

3.  Rupture Resemblance Models May Correlate to Growth Rates of Intracranial Aneurysms: Preliminary Results.

Authors:  Nicole Varble; Kenichi Kono; Hamidreza Rajabzadeh-Oghaz; Hui Meng
Journal:  World Neurosurg       Date:  2017-11-24       Impact factor: 2.104

4.  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

5.  Differences in Morphologic and Hemodynamic Characteristics for "PHASES-Based" Intracranial Aneurysm Locations.

Authors:  N Varble; H Rajabzadeh-Oghaz; J Wang; A Siddiqui; H Meng; A Mowla
Journal:  AJNR Am J Neuroradiol       Date:  2017-09-14       Impact factor: 3.825

6.  Management of unruptured intracranial aneurysms: correlation of UIATS, ELAPSS, and PHASES with referral center practice.

Authors:  James Feghali; Abhishek Gami; Justin M Caplan; Rafael J Tamargo; Cameron G McDougall; Judy Huang
Journal:  Neurosurg Rev       Date:  2020-07-22       Impact factor: 3.042

7.  Shared and Distinct Rupture Discriminants of Small and Large Intracranial Aneurysms.

Authors:  Nicole Varble; Vincent M Tutino; Jihnhee Yu; Ashish Sonig; Adnan H Siddiqui; Jason M Davies; Hui Meng
Journal:  Stroke       Date:  2018-03-13       Impact factor: 7.914

8.  Computer-Assisted Adjuncts for Aneurysmal Morphologic Assessment: Toward More Precise and Accurate Approaches.

Authors:  Hamidreza Rajabzadeh-Oghaz; Nicole Varble; Jason M Davies; Ashkan Mowla; Hakeem J Shakir; Ashish Sonig; Hussain Shallwani; Kenneth V Snyder; Elad I Levy; Adnan H Siddiqui; Hui Meng
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2017-03-03

9.  Computer-Assisted Three-Dimensional Morphology Evaluation of Intracranial Aneurysms.

Authors:  Hamidreza Rajabzadeh-Oghaz; Nicole Varble; Hussain Shallwani; Vincent M Tutino; Ashkan Mowla; Hakeem J Shakir; Kunal Vakharia; Gursant S Atwal; Adnan H Siddiqui; Jason M Davies; Hui Meng
Journal:  World Neurosurg       Date:  2018-08-01       Impact factor: 2.104

10.  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

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