A Quantitative Method Using Head Noncontrast CT Scans to Detect Hyperacute Nonvisible Ischemic Changes in Patients With Stroke.

摘要: PURPOSE Because clinical evaluation of noncontrast computed tomography (CT) has a poor sensitivity in the acute ischemic stroke, computer-aided diagnosis may be able to facilitate performance. Recently, we introduced computational method for detection and localization visible infarcts. Herein, aimed evaluate extend previous method, Stroke Imaging Marker (SIM), localize nonvisible hyperacute ischemia. MATERIALS AND METHODS On basis SIM its components—the ratio percentile differences subranges Hounsfield Unit (HU) distribution (P-ratio), voxels count ranges brain CT intensity, median HU attenuation value—the infarct was performed 140 early follow-up scans 70 patients. In none radiologist or an experienced stroke neuroradiologist. The infarcted hemisphere rate (HDR) were measured by overlapping region detected tissue initial scan, with gold standard set fully scan. RESULTS The best performance algorithm found P-ratio including seven within range 35th-75th percentile. modified provided 76% HDR 54% spatial ischemia (68% among properly sides). CONCLUSION The improved is dedicated potentially useful tool from contribute reduction image-to-needle time patients eligible revascularization therapy.