Evidence map›Paper›PMID 41549153›Full record

ArticleNeurosurgical review2026

Morphological and hemodynamic determinants of rupture in mirror posterior communicating artery aneurysms.

Gai Hang, Yang Liu, Jiangheng Guan, Shalamagai Bao, Weiran Yang, Wenbo Yang, Junqing Wang, Xiaojun Zhang, Zhitong Han, Ruijian Zhang and 2 more

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Article in Neurosurgical review, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Gai Hang *People's Hospital of Inner Mongolia Autonomous Region, Hohhot, China.
Yang Liu *Department of Neurology, The First People's Hospital of Zhumadian, Henan, China.
Jiangheng GuanDepartment of Neurosurgery, Central Theater General Hospital of Chinese PLA, No. 627 Wuluo Road, Wuhan, China.
Shalamagai BaoPeople's Hospital of Inner Mongolia Autonomous Region, Hohhot, China.
Weiran YangPeople's Hospital of Inner Mongolia Autonomous Region, Hohhot, China.
Wenbo YangPeople's Hospital of Inner Mongolia Autonomous Region, Hohhot, China.
Junqing WangPeople's Hospital of Inner Mongolia Autonomous Region, Hohhot, China.
Xiaojun ZhangPeople's Hospital of Inner Mongolia Autonomous Region, Hohhot, China.
Zhitong HanPeople's Hospital of Inner Mongolia Autonomous Region, Hohhot, China.
Ruijian ZhangPeople's Hospital of Inner Mongolia Autonomous Region, Hohhot, China.
Jian SongDepartment of Neurosurgery, Central Theater General Hospital of Chinese PLA, No. 627 Wuluo Road, Wuhan, China.
Tianhao XieDepartment of Neurosurgery, Central Theater General Hospital of Chinese PLA, No. 627 Wuluo Road, Wuhan, China. xrang@163.com.

Funding

Public Hospital Joint Research Fund Scientific and Technological Project 2024GLLH0117
6 · The paper itself

Abstract

purposeThis study aims to assess the risk factors associated with ruptured mirror posterior communicating artery aneurysms (PComAAs) through hemodynamic visualization and morphological analysis.

methodA total of 71 patients with ruptured mirror posterior communicating artery aneurysms (PComAAs) were reviewed. Morphological and hemodynamic characteristics were compared between ruptured and unruptured aneurysms. Multivariate logistic regression analysis was employed to identify independent risk factors. The receiver operating characteristic (ROC) curve and area under the ROC curve (AUC) were used to determine the optimal threshold for independent risk factors. Finally, hemodynamic visualization analysis of the aneurysms was conducted.

resultUnivariate analysis revealed that aneurysm size, aspect ratio (AR), size ratio (SR), non-sphericity index (NSI), presence of daughter sacs, minimum wall shear stress (WSS), low-WSS areas, and complex flow patterns were all associated with aneurysm rupture. However, multivariate logistic regression identified SR, AR, and NSI as the only significant independent risk factors. ROC curve analysis showed that SR (AUC = 0.808) provided the highest AUC value, with a threshold value of 1.26. Hemodynamic visualization analysis revealed that the flow velocity within the aneurysm was consistent with WSS, with low-velocity and low-WSS regions frequently observed at the top or daughter sacs of the aneurysm, which were associated with rupture.

conclusionMorphology and hemodynamics were associated with aneurysm rupture and SR had the best predictive effect.

Indexed as

Aneurysm, RupturedHemodynamicsIntracranial AneurysmAdultAgedCerebral AngiographyFemaleHumansMaleMiddle AgedRetrospective StudiesRisk FactorsROC CurveHemodynamics visualization analysisIntracranial aneurysmMirror aneurysmMorphologyPosterior communicating artery aneurysm

Identifiers

PMID41549153

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.