Spontaneous intracerebral hemorrhage (ICH) is one of the most devastating forms of stroke (1). Spontaneous ICH is a type of stroke that arises in the brain parenchyma in the absence of trauma or surgery. Common causes include hypertension, amyloid angiopathy, coagulopathy, vascular anomalies, tumors, and treatment with various drugs. However, hypertension is the single most important risk factor for spontaneous ICH. Spontaneous ICH accounts for 10 15% of all strokes and is associated with a higher mortality rate than either ischemic stroke or subarachnoid hemorrhage (SAH) (2). Purpose: The purpose of this study was to evaluate multidetector row CT (MDCT) angiographic findings and their clinical significance for contrast extravasation into a spontaneous intracerebral hematoma (ICH). Materials and Methods: MDCT angiographic studies and clinical records of 115 patients with spontaneous ICH were retrospectively reviewed. Cases were divided into two groups according to the presence or absence of contrast extravasation. The cases in the two groups were compared to determine the differences in radiological and clinical findings. The contrast extravasation group was divided into two subgroups according to radiological findings as follows: single or multiple dot-like contrast extravasation (Type A) and beaded-tubular (with or without dot-like extravasation) contrast extravasation (Type B). Results: Contrast extravasation was seen in 38 patients (33%). It was associated with a larger hematoma volume, more frequent intraventricular hemorrhage (IVH) and subarachnoid hemorrhage (SAH), a shorter time interval from onset to the time of the CT scan, lower Glasgow coma scale (GCS), and a higher mortality rate. Type A and B contrast extravasation were observed in 16 (42%) and 22 (58%) patients, respectively. The rate of IVH and the clinical outcome of patients with Type B showed a significant correlation. Conclusion: Two types of contrast extravasation into an ICH show a significant difference in the rate of IVH and in clinical outcome. Detecting the presence of contrast extravasation and classifying them according to the morphologic patterns are important in predicting a prognosis.