• Hong Jun Jeon, Jae Whan Lee, So Yeon Kim, Keun Young Park, and Seung Kon Huh.
• Neurol. Res. 2014 Dec 1;36(12):1056-62.

ObjectivesWe evaluated the rupture risk of multiple cerebral aneurysms in aspects of various morphological parameters, and determined which parameter can be a reliable predictor as one aneurysm ruptured, and the others did not.MethodsBetween 2007 and 2012, three-dimensional (3D) angiographic images of 85 patients harboring multiple aneurysms (85 ruptured and 104 unruptured aneurysms) were used to assess the following morphological parameters: geometry of the aneurysm itself, e.g., maximal size, aspect ratio, bottleneck ratio, height/width ratio, undulation, and daughter sac; architecture of the aneurysm and surrounding vessels, e.g. aneurysmal angle, vessel angle, inflow angle, parent-daughter angle, and size ratio type I & II. Univariate analysis was applied to all parameters, and significant parameters were identified in multivariate analysis, yielding the cut-off point from receiver-operating characteristic (ROC) curve analysis.ResultsOn multivariate logistic regression, the aspect ratio [odds ratio (OR), 1.21; 95% confidence interval (CI), 1.05-1.41] and daughter sac (OR, 3.12; 95% CI, 1.05-9.27) were significant parameters in geometries of the aneurysm itself. The size ratio type I (OR, 1.14; 95% CI, 1.05-1.22) and parent-daughter angle (OR, 1.02; 95% CI, 1.00-1.04) were independent parameters in architecture of the aneurysm and surrounding vessels. From the ROC curve, the aspect ratio and size ratio type I had cut-off values of 1.3 and 1.8, respectively.ConclusionSeveral morphological parameters were investigated to predict a rupture in multiple cerebral aneurysms using 3D angiogram. The aspect ratio, size ratio type I, daughter sac, and parent-daughter angle were revealed as competent parameters.

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