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自动血液涂片分析能否取代手工分类计数?CellaVision DM96自动图像分析系统的评估。

Can automated blood film analysis replace the manual differential? An evaluation of the CellaVision DM96 automated image analysis system.

作者信息

Briggs C, Longair I, Slavik M, Thwaite K, Mills R, Thavaraja V, Foster A, Romanin D, Machin S J

机构信息

Department of Haematology, University College London Hospital, London, UK.

出版信息

Int J Lab Hematol. 2009 Feb;31(1):48-60. doi: 10.1111/j.1751-553X.2007.01002.x. Epub 2007 Dec 20.

DOI:10.1111/j.1751-553X.2007.01002.x
PMID:18177438
Abstract

Automation of differentials is desirable for economic and time-saving reasons. Over the last 20 years, automated imaging processes have started to be introduced where stained blood films are scanned by a computer-driven microscope and leucocytes classified; however, early methods were slow and had difficulty in classifying abnormal cells. More recently the CellaVision DM96 (CellaVision AB, Lund, Sweden) has been introduced with added features such as continuous loading of slides and a faster throughput than previous instruments. The accuracy of CellaVision DM96 has been evaluated by comparing results to reference manual differentials. Results from different operators using the DM96 were compared with their own manual differential and to a 400-cell reference manual differential. Precision of the instrument was compared to the manual differential. The preclassification accuracy of the DM96 was 89.2%. Precision was similar to that of the 100-cell manual differential. The DM96 was faster than the manual method, even after reclassification by a laboratory scientist of any cells wrongly categorized by the instrument. The DM96 accuracy in morphological classification of leucocytes and red blood cells; depends upon both blood pathology and experience of the laboratory scientist using the instrument. For some cell types and operators, DM96 accuracy was better than the individual's 100 cell manual differential.

摘要

出于经济和节省时间的原因,血液细胞分类自动化是很有必要的。在过去20年里,自动化成像流程开始被引入,通过计算机驱动的显微镜扫描染色血片并对白细胞进行分类;然而,早期方法速度较慢,且在对异常细胞进行分类时存在困难。最近,CellaVision DM96(瑞典隆德的CellaVision AB公司)被推出,它具有诸如连续装载玻片以及比以往仪器更快的通量等附加功能。通过将结果与参考手工分类结果进行比较,对CellaVision DM96的准确性进行了评估。使用DM96的不同操作人员的结果与他们自己的手工分类结果以及400个细胞的参考手工分类结果进行了比较。将该仪器的精密度与手工分类进行了比较。DM96的预分类准确率为89.2%。精密度与100个细胞的手工分类相似。即使在实验室科学家对仪器错误分类的任何细胞进行重新分类之后,DM96也比手工方法更快。DM96在白细胞和红细胞形态学分类方面的准确性;取决于血液病理学以及使用该仪器的实验室科学家的经验。对于某些细胞类型和操作人员来说,DM96的准确性优于个人的100个细胞手工分类。

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