Mahe Etienne R, Higa Diane, Naugler Christopher, Mansoor Adnan, Shabani-Rad Meer-Taher
Department of Pathology and Laboratory Medicine, Division of Hematology and Transfusion Medicine, Calgary Laboratory Services, University of Calgary, Calgary, Alberta, Canada.
J Pathol Inform. 2014 May 26;5(1):17. doi: 10.4103/2153-3539.133127. eCollection 2014.
Many hematology laboratories have adopted semi-automated digital platforms for routine use and the evidence supporting their use is increasing.
The CellaVision platforms are among the most thoroughly studied digital hematology platforms; we wished to determine the accuracy of CellaVision for reticulocyte counting.
We compared reticulocyte counts performed manually, using the Beckman Coulter LH750 automated analyzer and with the CellaVision DM96 platform. We analyzed the results for pair-wise correlation and bias, and precision.
Analyses were performed using Statistical Package for the Social Sciences software (SPSS), including Spearman's rho correlation coefficient, Friedman's two-way Analysis Of Variance (ANOVA) for comparison of distributions; bias was compared by way of mean and standard deviation.
The CellaVision reticulocyte counts correlated most strongly with those of the analyzer (often considered the benchmark test); the reticulocyte count distributions were noted not to be significantly different from each other across all three methods. The mean and standard deviation of bias were lowest in the comparison of CellaVision and LH750 counts.
Our data provide additional support for the accuracy of digital hematology applications using the CellaVision DM96 platform.
许多血液学实验室已采用半自动数字平台进行常规检测,且支持其使用的证据越来越多。
CellaVision平台是研究最为深入的数字血液学平台之一;我们希望确定CellaVision进行网织红细胞计数的准确性。
我们比较了手工进行的网织红细胞计数、使用贝克曼库尔特LH750自动分析仪进行的计数以及使用CellaVision DM96平台进行的计数。我们分析了两两相关性、偏差和精密度的结果。
使用社会科学统计软件包(SPSS)进行分析,包括斯皮尔曼等级相关系数、用于比较分布的弗里德曼双向方差分析(ANOVA);通过均值和标准差比较偏差。
CellaVision网织红细胞计数与分析仪的计数相关性最强(分析仪计数通常被视为基准测试);在所有三种方法中,网织红细胞计数分布彼此之间无显著差异。在CellaVision和LH750计数的比较中,偏差的均值和标准差最低。
我们的数据为使用CellaVision DM96平台的数字血液学应用的准确性提供了更多支持。