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