Literature DB >> 32058208

Morphological predictors of middle cerebral artery bifurcation aneurysm rupture.

Yongchun Chen1, Boli Lin2, Jiafeng Zhou2, Lifang Chen2, Yunjun Yang3, Bing Zhao4.   

Abstract

OBJECTIVE: Middle cerebral artery (MCA) bifurcation aneurysms are more likely to be associated with severe hemorrhage or hematoma in a clinical setting. We aimed to investigate the morphological predictors of MCA bifurcation aneurysm rupture. PATIENTS AND METHODS: We conducted a retrospective analysis of 317 patients with MCA aneurysms between January 2009 and October 2016. Aneurysm status was grouped into ruptured and unruptured groups. The MCA bifurcation was defined as the bifurcation of the main trunk (the origin of the M2 trunks). Aneurysm morphologies were determined using CT angiography. We performed univariate and multivariable regression analyses to investigate the association of morphological characteristics with ruptured MCA bifurcation aneurysms.
RESULTS: A total of 268 (84.5 %) patients with 280 MCA bifurcation aneurysms were included. 207 (73.9 %) aneurysms had ruptured. In the univariate analysis, a larger aneurysm (p = 0.042), a larger size ratio (p = 0.001), a larger aspect ratio (p = 0.017), a greater bottleneck ratio (p = 0.047), an irregular aneurysm (p = 0.004) and the presence of a daughter dome (p = 0.002) were associated with aneurysm rupture. The multivariate analysis showed that a larger size ratio (OR 1.324, 95 % CI, 1.062-1.651; p = 0.013) and the presence of daughter dome (OR 2.462, 95 % CI, 1.123-5.398; p = 0.024) were independently associated with ruptured aneurysms. The threshold of the size ratio for discriminating ruptured and unruptured aneurysms was 2.53 (p < 0.001).
CONCLUSIONS: The size ratio and the presence of a daughter dome were independent predictors of the rupture of MCA bifurcation aneurysms. These parameters may contribute to the evaluation of the risk of rupture of aneurysms.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Aneurysm; Middle cerebral artery bifurcation; Morphology; Risk factor; Rupture

Mesh:

Year:  2020        PMID: 32058208     DOI: 10.1016/j.clineuro.2020.105708

Source DB:  PubMed          Journal:  Clin Neurol Neurosurg        ISSN: 0303-8467            Impact factor:   1.876


  3 in total

1.  Classifying Ruptured Middle Cerebral Artery Aneurysms With a Machine Learning Based, Radiomics-Morphological Model: A Multicentral Study.

Authors:  Dongqin Zhu; Yongchun Chen; Kuikui Zheng; Chao Chen; Qiong Li; Jiafeng Zhou; Xiufen Jia; Nengzhi Xia; Hao Wang; Boli Lin; Yifei Ni; Peipei Pang; Yunjun Yang
Journal:  Front Neurosci       Date:  2021-08-11       Impact factor: 4.677

2.  Irregular Pulsation of Intracranial Aneurysm Detected by Four-Dimensional CT Angiography and Associated With Small Aneurysm Rupture: A Single-Center Prospective Analysis.

Authors:  Jiafeng Zhou; Qinhua Guo; Yongchun Chen; Boli Lin; Shenghao Ding; Huilin Zhao; Yaohua Pan; Jieqing Wan; Bing Zhao
Journal:  Front Neurol       Date:  2022-02-24       Impact factor: 4.003

3.  Predicting the rupture status of small middle cerebral artery aneurysms using random forest modeling.

Authors:  Jiafeng Zhou; Nengzhi Xia; Qiong Li; Kuikui Zheng; Xiufen Jia; Hao Wang; Bing Zhao; Jinjin Liu; Yunjun Yang; Yongchun Chen
Journal:  Front Neurol       Date:  2022-07-28       Impact factor: 4.086

  3 in total

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