Literature DB >> 28017741

Morphology of Ruptured and Unruptured Intracranial Aneurysms.

Tammam Abboud1, Jihad Rustom2, Maxim Bester3, Patrick Czorlich4, Eik Vittorazzi5, Hans O Pinnschmidt5, Manfred Westphal4, Jan Regelsberger4.   

Abstract

BACKGROUND: In addition to size and location, the morphology of intracranial aneurysms has been proposed to predict rupture. This study was undertaken to compare morphologic features between ruptured and unruptured aneurysms and identify those associated with greater risk of rupture.
METHODS: Between 2010 and 2014, 301 patients with subarachnoid hemorrhage and 204 with unruptured aneurysms were admitted to our hospital. Two investigators reviewed 3-dimensional angiograms of all aneurysms. Risk factors for rupture were identified. Morphology was classified into single-sac aneurysms with smooth margin, single-sac aneurysms with irregular margin, aneurysms with a daughter sac, and multilobulated aneurysms. The value of morphology in predicting rupture was tested with the use of logistic regression.
RESULTS: A total of 420 aneurysms met the inclusion criteria. Multilobulated aneurysm was the most frequent finding among ruptured aneurysms, followed by single sac with irregular margin, aneurysm with daughter sac, and single sac with smooth margin (44.9%, 25.9%, 18%, and 11.2%, respectively). Among unruptured aneurysms, single sac with smooth margin was the most frequent finding, followed by single sac with irregular margin, multilobulated aneurysm, and aneurysm with daughter sac (38.1%, 29.8%, 20.9%, and 11.2%, respectively). Morphology was an independent predictor of rupture (receiver operating characteristic-area under the curve 0.693, P < 0.001). Risk of rupture increased by factor of 3 (5, 95% confidence interval [CI] 1.6-5.3) from single sac with regular margin to irregular margin, by factor of 5.5 (5, 95% CI 2.8-11.0) to daughter sac, and by factor of 7.3 (5, 95% CI 4.1-13.1) to multilobulated aneurysm.
CONCLUSIONS: Morphology might have an independent predictive value of aneurysm rupture. Risk of rupture might increase according to extent of morphologic change. Prospective studies will be necessary to evaluate the influence of aneurysm morphology on natural history.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Aneurysm rupture; Intracranial aneurysm; Morphology; Subarachnoid hemorrhage

Mesh:

Year:  2016        PMID: 28017741     DOI: 10.1016/j.wneu.2016.12.053

Source DB:  PubMed          Journal:  World Neurosurg        ISSN: 1878-8750            Impact factor:   2.104


  10 in total

1.  Comparison of clinical and histopathological characteristics of short-term progressive and non-progressive blood blister-like aneurysms.

Authors:  Dingke Wen; Ruiqi Chen; Nicholas W Kieran; Maryam Sharifian-Dorche; Wu Liu; Hao Li; Chao You; Mu Yang; Lu Ma
Journal:  Acta Neurochir (Wien)       Date:  2021-01-11       Impact factor: 2.216

2.  Clinical characteristics associated with sentinel headache in patients with unruptured intracranial aneurysms.

Authors:  Zheng Wan; Hao Meng; Ning Xu; Tianyi Liu; Zhongping Chen; Yang Sun; Honglei Wang
Journal:  Interv Neuroradiol       Date:  2020-11-04       Impact factor: 1.764

3.  Rupture Risk Assessment for Anterior Communicating Artery Aneurysms Using Decision Tree Modeling.

Authors:  Jinjin Liu; Haixia Xing; Yongchun Chen; Boli Lin; Jiafeng Zhou; Jieqing Wan; Yaohua Pan; Yunjun Yang; Bing Zhao
Journal:  Front Cardiovasc Med       Date:  2022-05-13

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.  Automatic detection on intracranial aneurysm from digital subtraction angiography with cascade convolutional neural networks.

Authors:  Haihan Duan; Yunzhi Huang; Lunxin Liu; Huming Dai; Liangyin Chen; Liangxue Zhou
Journal:  Biomed Eng Online       Date:  2019-11-14       Impact factor: 2.819

6.  Risk Factors for Higher Volume of Hemorrhage in Ruptured Anterior Circulation Intracranial Aneurysms.

Authors:  Xiaolong Ya; Chaoqi Zhang; Jichao Liu; Shuo Zhang; Qian Zhang; Shuo Wang; Yong Cao; Jizong Zhao
Journal:  Front Surg       Date:  2020-11-12

7.  Morphological Irregularity of Unruptured Intracranial Aneurysms is More Related with Aneurysm Size Rather Than Cerebrovascular Atherosclerosis: A Case-Control Study.

Authors:  Peng Qi; Xin Feng; Jun Lu; Junjie Wang; Shen Hu; Daming Wang
Journal:  Clin Interv Aging       Date:  2021-04-20       Impact factor: 4.458

8.  Intracranial Aneurysm Rupture Risk Estimation With Multidimensional Feature Fusion.

Authors:  Xingwei An; Jiaqian He; Yang Di; Miao Wang; Bin Luo; Ying Huang; Dong Ming
Journal:  Front Neurosci       Date:  2022-02-17       Impact factor: 4.677

9.  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

10.  Morphological parameters and anatomical locations associated with rupture status of small intracranial aneurysms.

Authors:  Zhihui Duan; Yuanhui Li; Sheng Guan; Congmin Ma; Yuezhen Han; Xiangyang Ren; Liping Wei; Wenbo Li; Jiyu Lou; Zhiyuan Yang
Journal:  Sci Rep       Date:  2018-04-24       Impact factor: 4.379

  10 in total

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