Objective: 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 aneur...Objective: 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(Pcom A) aneurysms. Methods: 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. Results: 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. Conclusions: 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.展开更多
基金supported by the Key Project of Shanghai Science and Technology Committee (No. 13411950300)the National Natural Science Foundation of China (No. 81301004)+1 种基金the Key Project of Shanghai Municipal Health Bureau (No. 2013ZYJB007)the 1255 Project of Changhai Hospital (No. CH125550400)
文摘Objective: 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(Pcom A) aneurysms. Methods: 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. Results: 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. Conclusions: 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.
