Literature DB >> 28498930

Risk Factors for Intracranial Aneurysm Rupture: A Systematic Review.

Rachel Kleinloog1, Nikki de Mul1, Bon H Verweij1, Jan Andries Post2, Gabriel J E Rinkel1, Ynte M Ruigrok1.   

Abstract

BACKGROUND: Intracranial aneurysm rupture prediction is poor, with only a few risk factors for rupture identified and used in clinical practice.
OBJECTIVE: To provide an overview of all the risk factors (including genetic, molecular, morphological, and hemodynamic factors) that have potential for use in clinical practice.
METHODS: We systematically searched PubMed and EMBASE and focused on factors that can be easily assessed in clinical practice, might be used for rupture prediction in clinical practice, and/or are potential targets for further research. Studies were categorized according to methodological quality, and a meta-analysis was performed, if possible.
RESULTS: We included 102 studies describing 144 risk factors that fulfilled predefined criteria. There was strong evidence for the morphological factors irregular shape (studied in 4 prospective cohort studies of high-quality, pooled odds ratio [OR] of 4.8 [95% confidence interval 2.7-8.7]), aspect ratio (pooled OR 10.2 [4.3-24.6]), size ratio, bottleneck factor, and height-to-width ratio to increase rupture risk. Moderate level of evidence was found for presence of contact with the perianeurysmal environment (pooled OR 3.5 [1.4-8.4]), unbalanced nature of this contact (pooled OR 17.8 [8.3-38.5]), volume-to-ostium ratio, and direction of the aneurysm dome (pooled OR 1.5 [1.2-1.9]).
CONCLUSION: Irregular aneurysm shape was identified as a risk factor with potential for use in clinical practice. The risk factors aspect ratio, size ratio, bottleneck factor, height-to-width ratio, contact with the perianeurysmal environment, volume-to-ostium ratio, and dome-direction should first be confirmed in multivariate analysis and incorporated in prediction models.

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Year:  2018        PMID: 28498930     DOI: 10.1093/neuros/nyx238

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


  21 in total

1.  Extending statistical learning for aneurysm rupture assessment to Finnish and Japanese populations using morphology, hemodynamics, and patient characteristics.

Authors:  Felicitas J Detmer; Sara Hadad; Bong Jae Chung; Fernando Mut; Martin Slawski; Norman Juchler; Vartan Kurtcuoglu; Sven Hirsch; Philippe Bijlenga; Yuya Uchiyama; Soichiro Fujimura; Makoto Yamamoto; Yuichi Murayama; Hiroyuki Takao; Timo Koivisto; Juhana Frösen; Juan R Cebral
Journal:  Neurosurg Focus       Date:  2019-07-01       Impact factor: 4.047

2.  Development and internal validation of an aneurysm rupture probability model based on patient characteristics and aneurysm location, morphology, and hemodynamics.

Authors:  Felicitas J Detmer; Bong Jae Chung; Fernando Mut; Martin Slawski; Farid Hamzei-Sichani; Christopher Putman; Carlos Jiménez; Juan R Cebral
Journal:  Int J Comput Assist Radiol Surg       Date:  2018-08-09       Impact factor: 2.924

3.  Comparison of statistical learning approaches for cerebral aneurysm rupture assessment.

Authors:  Felicitas J Detmer; Daniel Lückehe; Fernando Mut; Martin Slawski; Sven Hirsch; Philippe Bijlenga; Gabriele von Voigt; Juan R Cebral
Journal:  Int J Comput Assist Radiol Surg       Date:  2019-09-04       Impact factor: 2.924

4.  Unruptured Intracranial Aneurysms- Pathogenesis and Individualized Management.

Authors:  Nima Etminan; Arnd Dörfler; Helmuth Steinmetz
Journal:  Dtsch Arztebl Int       Date:  2020-04-03       Impact factor: 5.594

Review 5.  Non-traumatic subdural hemorrhage: beware of ruptured intracranial aneurysm.

Authors:  Michael Travis Caton; Walter F Wiggins; Diego Nuñez
Journal:  Emerg Radiol       Date:  2019-04-29

6.  Risk factors for intracranial aneurysm rupture in pediatric patients.

Authors:  Ruiqi Chen; Si Zhang; Anqi Xiao; Rui Guo; Junpeng Ma
Journal:  Acta Neurochir (Wien)       Date:  2021-08-20       Impact factor: 2.216

7.  Quantitative angiography prognosis of intracranial aneurysm treatment failure using parametric imaging and distal vessel analysis.

Authors:  Alexander G Wisniewski; Mohammad Mahdi Shiraz Bhurwani; Kelsey N Sommer; Andre Monteiro; Ammad Baig; Jason Davies; Adnan Siddiqui; Ciprian N Ionita
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2022-04-04

8.  External validation of cerebral aneurysm rupture probability model with data from two patient cohorts.

Authors:  Felicitas J Detmer; Daniel Fajardo-Jiménez; Fernando Mut; Norman Juchler; Sven Hirsch; Vitor Mendes Pereira; Philippe Bijlenga; Juan R Cebral
Journal:  Acta Neurochir (Wien)       Date:  2018-10-30       Impact factor: 2.216

9.  Wall shear stress gradient is independently associated with middle cerebral artery aneurysm development: a case-control CFD patient-specific study based on 77 patients.

Authors:  Mikołaj Zimny; Edyta Kawlewska; Anna Hebda; Wojciech Wolański; Piotr Ładziński; Wojciech Kaspera
Journal:  BMC Neurol       Date:  2021-07-19       Impact factor: 2.474

10.  Aneurysm Wall Enhancement Is Associated With Decreased Intrasaccular IL-10 and Morphological Features of Instability.

Authors:  Vanessa M Swiatek; Belal Neyazi; Jorge A Roa; Mario Zanaty; Edgar A Samaniego; Daizo Ishii; Yongjun Lu; I Erol Sandalcioglu; Sylvia Saalfeld; Philipp Berg; David M Hasan
Journal:  Neurosurgery       Date:  2021-09-15       Impact factor: 5.315

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