Comparative Analysis of the Performance of Automated Digital Cell Morphology Analyzers for Leukocyte Differentiation in Hematologic Malignancies: Mindray MC-80 Versus West Medical Vision Hema

IF 2.2 4区医学 Q3 HEMATOLOGY

International Journal of Laboratory Hematology Pub Date : 2025-03-27 DOI:10.1111/ijlh.14470

Sara Sacchetti, Matteo Bellia, Matteo Vidali, Valentina Zanotti, Luca Giacomini, Gianluca Gaidano, Andrea Patriarca, Umberto Dianzani, Roberta Rolla

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Abstract

Introduction

The use of artificial intelligence in hematology laboratories has improved the diagnostic evaluation of peripheral blood cells. The aim of this study is to compare the performance of two automated digital cell morphology analyzers, the Mindray MC-80 and the West Medical Vision Hema Pro, with manual microscopy, the gold standard, for leukocyte differentiation in patients with hematologic malignancies and infections.

Methods

Peripheral blood smears from 75 patients were analyzed, including cases of acute lymphoblastic leukemia (ALL, 4), chronic lymphocytic leukemia (CLL, 20), acute myeloid leukemia (AML, 20), chronic myeloid leukemia (CML, 5), other lymphoproliferative disorders (LPD, 20), and infections (6). The agreement between microscopy, Vision Hema, and MC-80 was assessed by Bland–Altman analysis for eight leukocyte populations (neutrophils, lymphocytes, monocytes, eosinophils, basophils, band cells, myelocytes, and metamyelocytes).

Results

Vision Hema demonstrated better agreement with manual microscopy for eight normally expected leukocyte populations (neutrophils, lymphocytes, monocytes, eosinophils, basophils, band cells, myelocytes, and metamyelocytes), whereas MC-80 exhibited greater biases, particularly in lymphocytes, basophils, and immature granulocytes. For pathologic cells, VH significantly overestimated blasts, while MC-80 classified them more accurately, showing better agreement with manual microscopy in acute leukemias. Additionally, MC-80 showed potential clinical value in detecting abnormal lymphocytes and promyelocytes, which may be relevant for hematologic malignancies.

Conclusion

Vision Hema provides more reliable classification of normally expected leukocyte populations, while MC-80 shows advantages in detecting abnormal cells, particularly in hematologic malignancies.

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用于血液恶性肿瘤白细胞分化的自动数字细胞形态分析仪性能比较分析：Mindray MC-80 与 West Medical Vision Hema.

人工智能在血液学实验室的应用提高了外周血细胞的诊断评价。本研究的目的是比较两种自动数字细胞形态学分析仪，迈瑞MC-80和West Medical Vision Hema Pro，与手工显微镜（金标准）对血液恶性肿瘤和感染患者白细胞分化的性能。方法:外周血涂片检查的75例患者进行了分析,包括例急性淋巴细胞白血病(,4),慢性淋巴细胞白血病(CLL 20),急性髓系白血病(AML, 20),慢性粒细胞白血病(CML, 5),其他淋巴增殖性疾病(LPD 20),(6)和感染。显微镜之间的协议,视觉-,和mc - 80被Bland-Altman评估分析八白细胞数量(中性粒细胞、淋巴细胞、单核细胞、嗜酸性粒细胞,嗜碱性粒细胞,带电池,髓细胞和变髓细胞)。结果：Vision Hema在八种正常预期的白细胞群（中性粒细胞、淋巴细胞、单核细胞、嗜酸性粒细胞、嗜碱性粒细胞、带状细胞、髓细胞和超髓细胞）上与人工显微镜表现出更好的一致性，而MC-80在淋巴细胞、嗜碱性粒细胞和未成熟粒细胞上表现出更大的偏差。对于病理细胞，VH明显高估了母细胞，而MC-80对它们的分类更准确，在急性白血病中与人工显微镜显示出更好的一致性。此外，MC-80在检测异常淋巴细胞和早幼粒细胞方面具有潜在的临床价值，这可能与血液系统恶性肿瘤有关。结论：Vision Hema对正常预期的白细胞群提供了更可靠的分类，而MC-80在检测异常细胞方面具有优势，特别是在血液系统恶性肿瘤中。

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

International Journal of Laboratory Hematology 医学-血液学

CiteScore

4.50

自引率

6.70%

发文量

211

审稿时长

6-12 weeks

期刊介绍： The International Journal of Laboratory Hematology provides a forum for the communication of new developments, research topics and the practice of laboratory haematology. The journal publishes invited reviews, full length original articles, and correspondence. The International Journal of Laboratory Hematology is the official journal of the International Society for Laboratory Hematology, which addresses the following sub-disciplines: cellular analysis, flow cytometry, haemostasis and thrombosis, molecular diagnostics, haematology informatics, haemoglobinopathies, point of care testing, standards and guidelines. The journal was launched in 2006 as the successor to Clinical and Laboratory Hematology, which was first published in 1979. An active and positive editorial policy ensures that work of a high scientific standard is reported, in order to bridge the gap between practical and academic aspects of laboratory haematology.