Literature DB >> 28637201

Size is the Most Important Predictor of Aneurysm Rupture Among Multiple Cerebral Aneurysms: Post Hoc Subgroup Analysis of Unruptured Cerebral Aneurysm Study Japan.

Masaaki Shojima1, Akio Morita2, Hirofumi Nakatomi1, Shinjiro Tominari3.   

Abstract

BACKGROUND: Multiple cerebral aneurysms are encountered in approximately 15% to 35% of patients harboring unruptured cerebral aneurysms. It would be of clinical value to determine which of them is most likely to rupture.
OBJECTIVE: To characterize features of the ruptured aneurysm relative to other concomitant fellow aneurysms in patients with multiple cerebral aneurysms.
METHODS: From a total of 5720 patients who were prospectively registered in the Unruptured Cerebral Aneurysm Study in Japan, a subgroup of patients with multiple cerebral aneurysms who developed subarachnoid hemorrhage was extracted for this post hoc analysis. Intrapatient comparisons of each aneurysm were carried out using aneurysm-specific factors such as size, location, and shape to identify predictors of rupture among the fellow aneurysms in a patient with multiple cerebral aneurysms.
RESULTS: Twenty-five patients with 62 aneurysms were identified from the total cohort of 5720 patients. With the distinctiveness in size, which means the aneurysm was the single largest among the multiple aneurysms, the ruptured aneurysm in each case was discriminated from the other coexisting aneurysms with a sensitivity of 0.76 and specificity of 0.86.
CONCLUSION: Our results suggest that the largest aneurysm is likely to rupture among coexisting aneurysms in a patient with multiple cerebral aneurysms.

Entities:  

Mesh:

Year:  2018        PMID: 28637201     DOI: 10.1093/neuros/nyx307

Source DB:  PubMed          Journal:  Neurosurgery        ISSN: 0148-396X            Impact factor:   4.654


  7 in total

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Authors:  Zheng Wan; Hao Meng; Ning Xu; Tianyi Liu; Zhongping Chen; Zheming Zhang; Jianjun Xu; Honglei Wang
Journal:  Interv Neuroradiol       Date:  2019-06-20       Impact factor: 1.610

2.  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

3.  Deep learning for automated cerebral aneurysm detection on computed tomography images.

Authors:  Xilei Dai; Lixiang Huang; Yi Qian; Shuang Xia; Winston Chong; Junjie Liu; Antonio Di Ieva; Xiaoxi Hou; Chubin Ou
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4.  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

5.  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

6.  Development and External Validation of a Dynamic Nomogram With Potential for Risk Assessment of Ruptured Multiple Intracranial Aneurysms.

Authors:  TingTing Chen; WeiGen Xiong; ZhiHong Zhao; YaJie Shan; XueMei Li; LeHeng Guo; Lan Xiang; Dong Chu; HongWei Fan; YingBin Li; JianJun Zou
Journal:  Front Neurol       Date:  2022-02-08       Impact factor: 4.003

7.  Development and validation of a novel nomogram to predict aneurysm rupture in patients with multiple intracranial aneurysms: a multicentre retrospective study.

Authors:  Xin Feng; Xin Tong; Aihua Liu; Daming Wang; Fei Peng; Hao Niu; Peng Qi; Jun Lu; Yang Zhao; Weitao Jin; Zhongxue Wu; Yuanli Zhao
Journal:  Stroke Vasc Neurol       Date:  2021-02-05
  7 in total

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