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PMID: 34867168 Published · epublish English Journal Article

Risk Factors for Pericallosal Artery Aneurysm Rupture Based on Morphological Computer-Assisted Semiautomated Measurement and Hemodynamic Analysis.

Frontiers in neuroscience ·Vol. 15 ·2021-00-00 ·页码 759806

Zhai X, Geng J, Zhu C, Yu J, Li C, Jiang N, Xiang S, Fang G, Hu P, Zhang H

Abstract

Background: Although pericallosal artery aneurysms (PAAs) are relatively uncommon, accounting for only 1-9% of all intracranial aneurysms (IAs), they exhibit a considerably high propensity to rupture. Nevertheless, our current knowledge of the risk factors for PAA rupture is still very limited. To fill this gap, we investigated rupture risk factors for PAAs based on morphological computer-assisted semiautomated measurement (CASAM) and hemodynamic analysis. Methods: Patients with PAAs were selected from the IA database in our institute and their baseline data were collected. Morphological parameters were measured in all enrolled patients by applying CASAM. Computational fluid dynamics simulation (CFD) was performed to evaluate the hemodynamic difference between ruptured and unruptured PAAs. Results: From June 2017 to June 2020, among 2141 patients with IAs in our institute, 47 had PAAs (2.2%). Thirty-one patients (mean age 57.65 ± 9.97 years) with 32 PAAs (20 unruptured and 12 ruptured) were included in the final analysis. Comparing with unruptured PAAs, ruptured PAAs had significantly higher aspect ratio (AR), mean normalized wall shear stress (NWSS), and mean oscillatory shear index (OSI) values than the unruptured PAAs (all P < 0.05) in univariate analyses. Multivariable analysis showed that a high mean OSI was an independent risk factor for PAA rupture (OR = 6.45, 95% CI 1.37-30.32, P = 0.018). Conclusion: This preliminary study indicates that there are morphological and hemodynamic differences between ruptured and unruptured PAAs. In particular, a high mean OSI is an independent risk factor for PAA rupture. Further research with a larger sample size is warranted in the future.

Keywords
hemodynamic analysis intracranial aneurysm morphology parameters pericallosal artery aneurysm risk of rupture
作者与单位
共 10 位作者,点击展开单位 / ORCID
Zhai Xiaodong
Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China. | China International Neuroscience Institute, Beijing, China.
Geng Jiewen
Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China. | China International Neuroscience Institute, Beijing, China.
Zhu Chengcheng
Department of Radiology, University of Washington School of Medicine, Seattle, WA, United States.
Yu Jiaxing
Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China. | China International Neuroscience Institute, Beijing, China.
Li Chuanjie
Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China. | China International Neuroscience Institute, Beijing, China. | Department of Neurosurgery, Shunyi District Hospital, Beijing, China.
Jiang Nan
Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China. | China International Neuroscience Institute, Beijing, China.
Xiang Sishi
Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China. | China International Neuroscience Institute, Beijing, China.
Fang Gang
Department of R&D, UnionStrong (Beijing) Technology Co., Ltd., Beijing, China.
Hu Peng
Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China. | China International Neuroscience Institute, Beijing, China.
Zhang Hongqi
Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China. | China International Neuroscience Institute, Beijing, China.
Article Info
Journal
Frontiers in neuroscience
Abbr.
Front Neurosci
ISSN
1662-4548
Published
2021-00-00
电子出版
2021-00-18
页码
759806
Language
English
Country/Region
Switzerland
NLM ID
101478481
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