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Evaluating the Performance of the Sysmex DI-60 Automated Cell Image Analyzer for the Differential Analysis of Leukocytes
Article | WPRIM | ID: wpr-836053
Biblioteca responsable: WPRO
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.
Texto completo: 1 Índice: WPRIM Tipo de estudio: Guideline Revista: Journal of Laboratory Medicine and Quality Assurance Año: 2020 Tipo del documento: Article
Texto completo: 1 Índice: WPRIM Tipo de estudio: Guideline Revista: Journal of Laboratory Medicine and Quality Assurance Año: 2020 Tipo del documento: Article