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The conflicting findings of previous morphological studies on intracranial aneurysm rupture may be caused by the different locations of aneurysms. We aimed to determine the independent risk factors of aneurysm rupture by focusing on only posterior communicating artery (PcomA) aneurysms.
In 89 PcomA aneurysms (58 ruptured, 31 unruptured), clinical and morphological characteristics were compared between the ruptured and unruptured groups. Multivariate logistic regression analysis was performed to determine the independent predictors for the rupture status of PcomA aneurysms.
In univariate analyses, the aneurysm dome size, aspect ratio, size ratio, dome-to-neck ratio, and inflow angle were significant parameters. With multivariate analyses, only the aneurysm dome size and inflow angle were significantly associated with the rupture status of PcomA aneurysms.
Morphology was related with rupture of PcomA aneurysms. The aneurysm dome size and inflow angle were found to be the independent parameters characterizing the rupture status of PcomA aneurysms.
The conflicting findings of previous morphological studies on intracranial aneurysm rupture may be caused by the different locations of aneurysms. We aimed to determine the independent risk factors of aneurysm rupture by focusing on only posterior communicating artery (PcomA) aneurysms.
In 89 PcomA aneurysms (58 ruptured, 31 unruptured), clinical and morphological characteristics were compared between the ruptured and unruptured groups. Multivariate logistic regression analysis was performed to determine the independent predictors for the rupture status of PcomA aneurysms.
In univariate analyses, the aneurysm dome size, aspect ratio, size ratio, dome-to-neck ratio, and inflow angle were significant parameters. With multivariate analyses, only the aneurysm dome size and inflow angle were significantly associated with the rupture status of PcomA aneurysms.
Morphology was related with rupture of PcomA aneurysms. The aneurysm dome size and inflow angle were found to be the independent parameters characterizing the rupture status of PcomA aneurysms.
This work was supported by the Key Project of Shanghai Science and Technology Committee (No. 13411950300), the National Natural Science Foundation of China (No. 81301004), the Key Project of Shanghai Municipal Health Bureau (No. 2013ZYJB007) and the 1255 Project of Changhai Hospital (No. CH125550400). We gratefully acknowledge the Shanghai Supercomputer Center for providing the mathematical soft wares that were used in this study.
This article is published with open access at www.TNCjournal.com