Objective : Delayed ischemic neurologic deficit(DIND) is one of the major complications following aneurysmal subarachnoid hemorrhage(SAH). However, the correlation between angiographic vasospasm(AV) and DIND after SAH is not precisely known. The authors investigated the timing, incidence, characteristics of DIND, and analyzed correlation between AV and DIND. Patients and Methods : A series of 126 patients with SAH and performed cerebral angiography which, confirmed anterior circulation aneurysm, admitted to between January 1996 to December 1998, were studied retrospectively. A comparative analysis between group 1(G1) in which AV patients presented with DIND, and group 2(G2) patients did not DIND, were done. AV was graded according to location, distribution and degree. Location of vasospasm was classified as basal type(BT), distal type(DT). BT was involved horizontally and include the bilateral carotid systems, proximal middle cerebral artery(MCA) and proximal anterior cerebral artery(ACA). DT was involved vertically and include the MCA branches as they become vertically or posteriorly oriented and the ACA distal to the anterior communicating artery. BT and DT all defined ether as localized type(LT) or combined type(CT). Distribution of vasospasm was classified as type I, type II and type III. Type I represents the involvement of bilateral carotid systems and bilateral anterior cerebral artery, type II was designed as one carotid system without involving anterior cerebral artery, and type III when only some portions of the anterior cerebral artery were involved, bilaterally. Degree of vasospasm was classified as mild(less than 25%), moderate(between 25-50%), severe(greater than 50%), and those were determined by comparing the caliber of the artery in vasospasm to that of the nearest area of apparently normal vessel. Results : The incidence of AV & DIND was 57/126(45.2%), 29/126(23.0%), and timing of DIND was 9 days(${\pm}4.1$) after initial hemorrhage. As for the location, BT was seen in 12 cases(40.0%), DT 11 cases(36.7%) and CT 7 cases (23.3%), respectively. Where as G1, BT was seen 5 cases(18.5%), DT 5 cases(18.5%) and CT 17 cases(63.0%), respectively in G2. CT AV was more correlated with DIND than LT AV(p<0.05). For distribution, type I was seen in 16 cases(59.2%), type II 4 cases(14.8%), type III 7 cases(25.9%) in G1 where as type I was seen in 7 cases(23.3%), type II 10 cases(33.3%), type III 13(43.3%) in G2. Type I AV was well correlated with DIND unlike to type II or type III(p<0.05). As for the degree, mild was seen in 4 cases(14.8%), moderate 14 cases(51.9%), severe 9 cases (33.3%) in G1, and mild 16 cases(18.5%), moderate 11 cases(36.7%) and severe 3 cases(10.0%) in G2. Moderate to severe type AV was well correlated with DIND(p<0.05). Conclusion : These results indicate that it may be possible to predict DIND according to careful analysis of location, distribution, degree of AV in patients with aneurysmal SAH.