Contribution of Deep Cerebral Venous Anomaly to the Emergence of Nonaneurysmal Subarachnoid Hemorrhage as Opposed to Aneurysmal Subarachnoid Hemorrhage.

BACKGROUND: The exact reason of nonaneurysmal subarachnoid hemorrhage (SAH) is an enigma. The aim of this study is to identify if type III deep cerebral venous drainage is exclusively prevalent in patients with nonaneurysmal SAH and to enumerate the predictors of poorer outcome in these patients. METHODS: All patients of age >18 years, presented at our centre with spontaneous SAH on noncontrast computed tomography head and were divided into 2 groups, aneurysmal and nonaneurysmal SAH after 4-vessel DSA. Based on the deep venous drainage pattern on both sides, basal venous drainage was found and classified into 3 types: type I, type II, and type III. The 3 groups were pitted against one another. Regression analysis were performed to predict the occurrence of nonaneurysmal-SAH with different types of basal vein. RESULTS: There were 100 nonaneurysmal SAH cases and 103 aneurysmal SAH cases. The mean age of presentation was 47.8 ± 13.55 years with slight male predominance (52%). The patients with type III venous drainage have 2 times more risk of developing nonaneurysmal SAH (95% confidence interval = 1.21-4.31) as compared to those with aneurysmal SAH. On multivariate analysis, type III basal venous drainage, worse Hunt and Hess grade at presentation, extensive bleeding were predictors of an adverse outcome. CONCLUSIONS: The presence of type III venous distribution is associated with a 2-fold increase in the probability of having nonaneurysmal SAH, as well as a 3-fold increase in the risk of developing poorer neurological sequelae.

A quantitative study of magnetic susceptibility-weighted imaging of deep cerebral veins.

OBJECTIVE: To evaluate the value of magnetic susceptibility-weighted imaging (SWI) for measuring deep cerebral venous diameter. METHODS: The diameters of 150 deep cerebral veins were measured by SWI and digital subtraction angiography (DSA) in 50 patients. RESULTS: SWI showed whole cerebral veins as clear soft vessels, but with a crooked hypointense linear structure along the sulcus. Venous vessel diameter as measured by SWI was greater than that by DSA, but values from the two different techniques showed significant linear correlation (r=0.905). CONCLUSION: SWI is reliable and suitable for quantitative measurements of deep cerebral veins, and more sensitive for measuring smaller vessels deep within the brain.