Wang Guang-Xian, Wen Li, Yang Liu, Zhang Qi-Chuang, Yin Jin-Bo, Duan Chun-Mei, Zhang Dong
Department of Radiology, Xinqiao Hospital, Third Military Medical University, Chongqing, China.
Department of Neurosurgery, Xinqiao Hospital, Third Military Medical University, Chongqing, China.
World Neurosurg. 2018 Feb;110:e333-e338. doi: 10.1016/j.wneu.2017.10.174. Epub 2017 Nov 10.
To study the clinical and morphologic characteristics associated with risk factors for the rupture of intracranial aneurysms (IAs).
A total of 1115 consecutive patients with 1282 IAs were reviewed from August 2011 to February 2016. The patients and IAs were divided into ruptured and unruptured groups. Based on the clinical and morphologic findings, the risk factors for IA rupture were assessed using statistical methods.
Age, hypertension, diabetes mellitus, and cerebral atherosclerosis were associated with ruptured IAs. IAs located in the anterior cerebral artery, the anterior communicating artery, the posterior communicating artery, and the internal carotid artery were associated with ruptured IAs. Ruptures were also associated with arterial bifurcations, irregular aneurysm shapes, and all continuous data, except neck width. Binary logistic regression showed that IAs located at bifurcations (odds ratio [OR], 1.804), with irregular shapes (OR, 4.677), with high aspect ratios (ARs) (OR, 5.037) or with small mean diameters (MDs) (OR, 0.495) are more prone to rupture. Receiver operating characteristic analysis showed that the threshold values of the AR and MD were 1 and 3.70 mm, respectively.
Morphologic characteristics, such as being located at bifurcations, being irregularly shaped, having a high AR (>1), and having a small MD (<3.70 mm), were better predictors of rupture.
研究与颅内动脉瘤(IA)破裂风险因素相关的临床和形态学特征。
回顾2011年8月至2016年2月期间连续收治的1115例患者的1282个IA。将患者和IA分为破裂组和未破裂组。根据临床和形态学结果,采用统计学方法评估IA破裂的风险因素。
年龄、高血压、糖尿病和脑动脉粥样硬化与破裂的IA相关。位于大脑前动脉、前交通动脉、后交通动脉和颈内动脉的IA与破裂的IA相关。破裂还与动脉分叉、不规则的动脉瘤形状以及除颈部宽度外的所有连续数据相关。二元逻辑回归显示,位于分叉处(优势比[OR],1.804)、形状不规则(OR,4.677)、高纵横比(AR)(OR,5.037)或平均直径(MD)小(OR,0.495)的IA更容易破裂。受试者工作特征分析表明,AR和MD的阈值分别为1和3.70mm。
形态学特征,如位于分叉处、形状不规则、高AR(>1)和小MD(<3.70mm),是更好的破裂预测指标。