Performance evaluation of the digital morphology analyser Sysmex DI-60 for white blood cell differentials in abnormal samples

Author:

Zhao Yan,Diao Yingying,Zheng Jun,Li Xinyao,Luan Hong

Abstract

AbstractSysmex DI-60 enumerates and classifies leukocytes. Limited research has evaluated the performance of Sysmex DI-60 in abnormal samples, and most focused on leukopenic samples. We evaluate the efficacy of DI-60 in determining white blood cell (WBC) differentials in normal and abnormal samples in different WBC count. Peripheral blood smears (n = 166) were categorised into normal control and disease groups, and further divided into moderate and severe leucocytosis, mild leucocytosis, normal, mild leukopenia, and moderate and severe leukopenia groups based on WBC count. DI-60 preclassification and verification and manual counting results were assessed using Bland–Altman and Passing–Bablok regression analyses. The Kappa test compared the concordance in the abnormal cell detection between DI-60 and manual counting. DI-60 exhibited notable overall sensitivity and specificity for all cells, except basophils. The correlation between the DI-60 preclassification and manual counting was high for segmented neutrophils, band neutrophils, lymphocytes, and blasts, and improved for all cell classes after verification. The mean difference between DI-60 and manual counting for all cell classes was significantly high in moderate and severe leucocytosis (WBC > 30.0 × 109/L) and moderate and severe leukopenia (WBC < 1.5 × 109/L) groups. For blast cells, immature granulocytes, and atypical lymphocytes, the DI-60 verification results were similar to the manual counting results. Plasma cells showed poor agreement. In conclusion, DI-60 demonstrates consistent and reliable analysis of WBC differentials within the range of 1.5–30.0 × 109. Manual counting was indispensable in examining moderate and severe leucocytosis samples, moderate and severe leukopenia samples, and in enumerating of monocytes and plasma cells.

Funder

CAMS Innovation Fund for Medical Sciences

Publisher

Springer Science and Business Media LLC

Reference30 articles.

1. Bengtsson, H. I. Digital morphology analyzers in hematology: Comments on the ICSH review and recommendations. Int. J. Lab. Hematol. 42(5), e213–e215 (2020).

2. CLSI. Reference Leukocyte (WBC) Differential Count (Proportional) and Evaluation of Instrumental Methods; Approved Standard-Second Edition, CLSI Document H20–A2 (Clinical and Laboratory Standards Institute, 2007).

3. Rumke, C. L. The imprecision of the ratio of two percentages observed in differential white blood cell counts: A warning. Blood Cells. 11(1), 137–140 (1985).

4. Xing, Y. et al. Artificial intelligence of digital morphology analyzers improves the efficiency of manual leukocyte differentiation of peripheral blood. BMC Med. Inform. Decis. Mak. 23(1), 50 (2023).

5. Nam, M. et al. Digital morphology analyzer Sysmex DI-60 vs manual counting for white blood cell differentials in leukopenic samples: A comparative assessment of risk and turnaround time. Ann. Lab. Med. 42(4), 398–405 (2022).

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