Performance Evaluation of the Automated Cell Image Analyzer DI-60 for Leukocyte Differential Count.

IF 0.7 4区医学 Q4 MEDICAL LABORATORY TECHNOLOGY

Clinical laboratory Pub Date : 2025-03-01 DOI:10.7754/Clin.Lab.2024.241027

Soon Hee Chang

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Abstract

Background: The Sysmex DI-60 system (Sysmex, Kobe, Japan) is an automated cell image analyzer that captures and analyzes cell images. The aim of this study was to evaluate the performance of DI-60 for leukocyte differential count in comparison with manual differential count and XN-20.

Methods: A total of 205 samples were analyzed and the agreement between DI-60 pre-classification and post-verification by medical technicians was determined. The correlation and ability to identify clinically important abnormal cells of DI-60 post-verification were then evaluated.

Results: The overall agreement of DI-60 pre-classification was 84.7%. The correlation between DI-60 post-verification and manual differential counts was excellent (r2 > 0.85) for neutrophils, lymphocytes, monocytes, and eosinophils, but was very low for basophils (r2 = 0.3759). The DI-60, post-verification, was able to identify clinically important abnormal cells including blasts, promyelocytes, myelocytes, and metamyelocytes with high efficiency (80.8 - 96.3%), but not NRBCs (51.0%). Overall sensitivity was 63.7 - 88.2%, and specificity was 84.3 - 95.5%, excluding NRBCs (43.7%).

Conclusions: DI-60 showed excellent pre-classification accuracy and relatively high correlation compared with manual leukocyte differential counts. Although additional verification with a PBS review by experienced medical technicians may still be required, the DI-60 can be used as an efficient screening tool in clinical laboratories.

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自动细胞图像分析仪DI-60用于白细胞鉴别计数的性能评价。

背景：Sysmex DI-60系统（Sysmex, Kobe, Japan）是一种自动细胞图像分析仪，用于捕获和分析细胞图像。本研究的目的是评价DI-60与人工白细胞计数和XN-20进行白细胞计数的性能。方法：对205份样本进行分析，确定DI-60预分类与医技人员事后验证的一致性。然后评估验证后DI-60的相关性和识别临床重要异常细胞的能力。结果：DI-60预分类总体符合率为84.7%。在中性粒细胞、淋巴细胞、单核细胞和嗜酸性粒细胞方面，DI-60事后验证与人工鉴别计数之间的相关性非常好（r2 > 0.85），但在嗜碱性粒细胞方面相关性非常低（r2 = 0.3759）。经过验证，DI-60能够高效地识别临床重要的异常细胞，包括母细胞、早幼粒细胞、髓细胞和变髓细胞（80.8 - 96.3%），但不能识别nrbc（51.0%）。总敏感性为63.7 ~ 88.2%，特异性为84.3 ~ 95.5%，不包括nrbc（43.7%）。结论：与人工白细胞鉴别计数相比，DI-60具有较好的预分类准确性和较高的相关性。虽然可能仍然需要有经验的医疗技术人员进行PBS审查的额外验证，但DI-60可作为临床实验室的有效筛选工具。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Clinical laboratory 医学-医学实验技术

CiteScore

1.50

自引率

0.00%

发文量

494

审稿时长

3 months

期刊介绍： Clinical Laboratory is an international fully peer-reviewed journal covering all aspects of laboratory medicine and transfusion medicine. In addition to transfusion medicine topics Clinical Laboratory represents submissions concerning tissue transplantation and hematopoietic, cellular and gene therapies. The journal publishes original articles, review articles, posters, short reports, case studies and letters to the editor dealing with 1) the scientific background, implementation and diagnostic significance of laboratory methods employed in hospitals, blood banks and physicians'' offices and with 2) scientific, administrative and clinical aspects of transfusion medicine and 3) in addition to transfusion medicine topics Clinical Laboratory represents submissions concerning tissue transplantation and hematopoietic, cellular and gene therapies.