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全自动血细胞形态学识别系统在恶性血液系统疾病外周血涂片分析中的应用评价
引用本文:唐玉凤,陈吉祥,陈勋,郭慧娟,郑颖,王玲玲,尚晓泓.全自动血细胞形态学识别系统在恶性血液系统疾病外周血涂片分析中的应用评价[J].检验医学与临床,2016(15):2116-2118.
作者姓名:唐玉凤  陈吉祥  陈勋  郭慧娟  郑颖  王玲玲  尚晓泓
作者单位:中国中医科学院西苑医院检验科,北京,100091
摘    要:目的评价Cellavision DM96(以下简称DM96)全自动血细胞形态学识别系统在血液系统恶性疾病外周血涂片分析中的价值。方法以人工显微镜检查法为评价标准,采用DM96自动分析后,人工校正法对436例血液系统恶性疾病的外周血涂片中的白细胞、有核红细胞、成熟红细胞、血小板进行分析,评价DM96系统识别8种异常(异常细胞或异常情况)的能力。结果 DM96系统识别异常白细胞的一致性、特异性、敏感性、阳性预测值、阴性预测值较高,其中原始细胞最高,分别为98.4%、98.8%、97.9%、98.4%、98.4%,识别有核红细胞的敏感性、阳性预测值较低(62.1%、72.7%);对血小板聚集的敏感性较低(71.4%)。结论 DM96系统是血液系统恶性疾病外周血涂片分析的有力工具,在白细胞、成熟红细胞形态分析方面准确度高,对有核红细胞和可疑血小板聚集的标本需辅以人工镜检。

关 键 词:血液系统疾病  恶性  白细胞分类  显微镜  细胞形态学

Application evaluation of automatic blood cell morphology recognition system in peripheral blood smear analysis of malignant hematological diseases
Abstract:Objective To evaluate the value of the CellaVision DM96(DM96) automatic blood cell morphology recognition sys‐tem in peripheral blood cell smear analysis of malignant hematological diseases .Methods The peripheral blood smear samples in 436 patients with malignant hematological diseases were analyzed on WBC ,nucleated RBC ,mature RBC and platelets by adopting the DM96 with the manual microscopy as the evaluation standard .The ability of DM96 for recognizing 8 abnormalities(abnormal cell or abnormal situation) was evaluated .Results The consistency ,specificity ,sensitivity ,positive predictive value and negative predictive value of DM96 system for identifying abnormal WBC were higher ,especially for primary cells ,which were 98 .4% , 98 .8% ,97 .9% ,98 .4% and 98 .4% respectively .Its sensitivity and positive predictive value for identifying nucleated red blood cells were lower(62 .1% ,72 .7% ) .Its sensitivity for identifying platelet clumps was lower (71 .4% ) .Conclusion The DM96 system is a powerful tool of peripheral blood cell smear analysis ,has higher accuracy in the analysis of WBC ,mature RBC morphology ,but the samples of nucleated RBC and suspected platelet clumps need to be assisted by manual microscopy examination .
Keywords:hematological diseases  malignant  leucocyte classification  microscopy  cell morphology
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