Department of Radiological Technology, Graduate School of Health Sciences, Niigata University, Chuou-ku, Niigata, 951-8518, Japan.
Acad Radiol. 2010 Jan;17(1):84-92. doi: 10.1016/j.acra.2009.07.011. Epub 2009 Sep 5.
The purpose of this study was to develop a z-score mapping method on the basis of a voxel-by-voxel analysis to visualize hypoattenuation areas of hyperacute stroke on unenhanced computed tomographic (CT) images.
The algorithm of the developed method consisted of five main steps: anatomic standardization, the construction of a normal reference database, calculation of the z scores, the elimination of false-positive areas, and the extraction of hypoattenuation areas. The obtained z-score map was then superimposed on the original CT images for identifying hypoattenuation areas of hyperacute stroke on the unenhanced CT images. The method was applied to 21 patients with infarctions of the middle cerebral artery territory <3 hours after symptom onset. The performance of the method was evaluated using receiver-operating characteristic analysis.
Hypoattenuation regions could be significantly distinguished from normal regions by z-score values (P < .0001). The area under the receiver-operating characteristic curve for distinction between 68 hypoattenuation regions and 142 normal regions was 0.834.
The developed method has the potential to accurately indicate high-signal intensity areas corresponding to hypoattenuation areas on CT images in the hyperacute stage of stroke.
本研究旨在基于体素分析开发一种 z 分数映射方法,以可视化超急性卒中在未增强 CT 图像上的低衰减区域。
所开发方法的算法由五个主要步骤组成:解剖标准化、正常参考数据库的构建、z 分数的计算、假阳性区域的消除以及低衰减区域的提取。然后将获得的 z 分数图叠加到原始 CT 图像上,以识别未增强 CT 图像上超急性卒中的低衰减区域。该方法应用于 21 例症状发作后 <3 小时的大脑中动脉区域梗死患者。使用受试者工作特征分析评估该方法的性能。
通过 z 分数值可以显著区分低衰减区域和正常区域(P <.0001)。区分 68 个低衰减区域和 142 个正常区域的受试者工作特征曲线下面积为 0.834。
所开发的方法有可能在卒中超急性期准确指示 CT 图像上与低衰减区域相对应的高信号强度区域。