Performance evaluation of the digital cell imaging analyzer DI-60 integrated into the fully automated Sysmex XN hematology analyzer system

被引:42
|
作者
Tabe, Yoko [1 ]
Yamamoto, Takemasa [2 ]
Maenou, Imiko [2 ]
Nakai, Rie [3 ]
Idei, Mayumi [1 ]
Horii, Takashi [2 ]
Miida, Takashi [1 ]
Ohsaka, Akimichi [2 ]
机构
[1] Juntendo Univ, Sch Med, Dept Clin Lab Med, Bunkyo Ku, Tokyo 1138421, Japan
[2] Juntendo Univ Hosp, Div Clin Lab, Bunkyo Ku, Tokyo, Japan
[3] Sysmex Corp, Sci Affairs, Kobe, Hyogo, Japan
关键词
automated digital imaging; DI-60; hematology analyzer; integrated slide processing system; white blood cell differential; XN-Series; DM96; SYSTEM; XE-2100;
D O I
10.1515/cclm-2014-0445
中图分类号
R446 [实验室诊断]; R-33 [实验医学、医学实验];
学科分类号
1001 ;
摘要
Background: The XN-Series (Sysmex, Kobe, Japan) have been equipped with the automated digital cell imaging analyzer DI-60, which provides complete automation of the sample processing with automated complete blood counts (CBC), slide making/staining, and digital scanning with cell pre-classification. The aim of this study was to evaluate the efficacy of the XN-Series as an integrated blood cell analysis system. Methods: White blood cell (WBC) morphological analysis by the DI-60 was evaluated using 232 blood samples from patients. Routine analysis of a total of 2000 blood samples has been performed to evaluate the processing ability of the XN-Series connected to the DI-60. Results: The overall analysis accuracy of pre-classification of WBC by the DI-60 was 88.4%. Good correlation was observed between final results of the DI-60 analysis and manual differentiation with high sensitivity and specificity for blasts and immature granulocytes. The sample processing time of the XN-Series, from automated CBC to cell pre-classification, was 38 +/- 1 min/single run and 165 +/- 12 min/500 CBC samples run (slide preparation rate 15.6%) with no sample hold-up at the DI-60. Conclusions: The automated morphological analysis capability of the DI-60 has potential usefulness in the integrated automated hematology analysis system of XN-Series.
引用
收藏
页码:281 / 289
页数:9
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