Evaluating the Performance of the Sysmex DI-60 Automated Cell Image Analyzer for the Diferential Analysis of LeukocytesEvaluating the Performance of the Sysmex DI-60 Automated Cell Image Analyzer for the Diferential Analysis of Leukocytes
- Other Titles
- Evaluating the Performance of the Sysmex DI-60 Automated Cell Image Analyzer for the Diferential Analysis of Leukocytes
- Authors
- So Young Lee; Hwan Tae Lee; Woo-Jae Kwoun; Youn Sun Lee; Jeong-Yeal Ahn
- Issue Date
- Jun-2020
- Publisher
- 대한임상검사정도관리협회
- Keywords
- Sysmex DI-60; Automated cell image analyzer; Differential leukocyte count
- Citation
- Journal of Laboratory Medicine And Quality Assurance, v.42, no.2, pp.70 - 76
- Journal Title
- Journal of Laboratory Medicine And Quality Assurance
- Volume
- 42
- Number
- 2
- Start Page
- 70
- End Page
- 76
- URI
- https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/60233
- ISSN
- 2384-2458
- Abstract
- Background: The Sysmex DI-60 system (Sysmex, Japan) is an automated cell image analyzer. This study aimed to evaluate the performance of the DI-60 system for the differential analysis of leukocytes.
Methods: A total of 220 samples were analyzed in this study. The agreement between DI-60 pre-classification and manual verification by experts was determined. The correlation between the differential leukocyte counts obtained using the DI-60 system and those manually obtained in the peripheral blood smears were determined.
Results: The pre-classification agreement of DI-60 was 91.0%. The correlation coefficients of normal five-part differentials were 0.9163 (segmented neutrophils), 0.9017 (lymphocytes), 0.8533 (monocytes), 0.8345 (eosinophils), and 0.3505 (basophils). The sensitivity, specificity, positive predictive value, negative predictive value, and the efficiency of counting the abnormal cells, including blasts, promyelocytes, myelocytes, metamyelocytes, lymphocyte variants, and erythroblasts, were determined. The efficiency of the DI-60 system in counting the blasts, promyelocytes, myelocytes, metamyelocytes, lymphocyte variants, and erythroblasts was 99.5%, 100.0%, 95.9%, 96.5%, 98.6%, 100.0%, and 95.9%, respectively.
Conclusions: The pre-classification agreement of DI-60 was higher than that of previous studies. The correlation between the differential leukocyte counts obtained with the DI-60 system and those of manual counting was acceptable. The performance of DI-60 as a screening tool in clinical laboratories may be good; however, it is yet to replace manual slide review.
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