Wang Chih-Wei, Juan Chun-Jung, Liu Yi-Jui, Hsu Hsian-He, Liu Hua-Shan, Chen Cheng-Yu, Hsueh Chun-Jen, Lo Chung-Ping, Kao Hung-Wen, Huang Guo-Shu
Department of Radiology, Tri-Service General Hospital, Taipei, Taiwan, ROC.
Acta Radiol. 2009 Apr;50(3):306-11. doi: 10.1080/02841850802647039.
Although the ABC/2 formula has been widely used to estimate the volume of intracerebral hematoma (ICH), the formula tends to overestimate hematoma volume. The volume-related imprecision of the ABC/2 formula has not been documented quantitatively.
To investigate the volume-dependent overestimation of the ABC/2 formula by comparing it with computer-assisted volumetric analysis (CAVA).
Forty patients who had suffered spontaneous ICH and who had undergone non-enhanced brain computed tomography scans were enrolled in this study. The ICH volume was estimated based on the ABC/2 formula and also calculated by CAVA. Based on the ICH volume calculated by the CAVA method, the patients were divided into three groups: group 1 consisted of 17 patients with an ICH volume of less than 20 ml; group 2 comprised 13 patients with an ICH volume of 20 to 40 ml; and group 3 was composed of 10 patients with an ICH volume larger than 40 ml.
The mean estimated hematoma volume was 43.6 ml when using the ABC/2 formula, compared with 33.8 ml when using the CAVA method. The mean estimated difference was 1.3 ml, 4.4 ml, and 31.4 ml for groups 1, 2, and 3, respectively, corresponding to an estimation error of 9.9%, 16.7%, and 37.1% by the ABC/2 formula (P<0.05).
The ABC/2 formula significantly overestimates the volume of ICH. A positive association between the estimation error and the volume of ICH is demonstrated.
尽管ABC/2公式已被广泛用于估计脑内血肿(ICH)的体积,但该公式往往会高估血肿体积。ABC/2公式在体积估计方面的不精确性尚未进行定量记录。
通过与计算机辅助体积分析(CAVA)进行比较,研究ABC/2公式在体积依赖性方面的高估情况。
本研究纳入了40例自发性ICH患者,这些患者均接受了非增强脑部计算机断层扫描。基于ABC/2公式估计ICH体积,并通过CAVA计算体积。根据CAVA方法计算的ICH体积,将患者分为三组:第1组由17例ICH体积小于20 ml的患者组成;第2组包括13例ICH体积为20至40 ml的患者;第3组由10例ICH体积大于40 ml的患者组成。
使用ABC/2公式时,估计的血肿平均体积为43.6 ml,而使用CAVA方法时为33.8 ml。第1、2和3组的平均估计差异分别为1.3 ml、4.4 ml和31.4 ml,ABC/2公式对应的估计误差分别为9.9%、16.7%和37.1%(P<0.05)。
ABC/2公式显著高估了ICH的体积。证实了估计误差与ICH体积之间存在正相关。