{"title":"Clinical Validation of the MC-80 Digital Morphology Analyzer in Leukocyte Classification: A Large-Scale Comparison With Manual Microscopy","authors":"Lianjie Zhang, Yuhong Qin, Hongbin Yu, Lin Wang","doi":"10.1111/ijlh.70170","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Introduction</h3>\n \n <p>Although AI-powered digital morphology analyzers are widely used for leukocyte classification, their reliability in detecting clinically significant abnormal cells requires rigorous validation. We evaluated the Mindray MC-80 system by comparing its results with those of conventional hematology analyzers and manual microscopy to assess accuracy, sensitivity, and diagnostic limitations.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>We analyzed 1188 routine blood samples (881 normal, 307 abnormal). Preclassification results from the MC-80 were compared with hematology analyzer results for normal samples and with manual microscopy by senior morphologists for abnormal samples. Inter-method agreement was assessed by Passing–Bablok regression, and sensitivity and specificity were calculated using expert-reviewed findings as the reference standard.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>The MC-80 preclassification demonstrated excellent correlation with reference assays, with <i>r</i> values greater than 0.9 for the majority of leukocyte subsets. Overall specificity reached over 99% for all cell populations. Excluding blasts and reactive lymphocytes, the sensitivity for all remaining cell types was higher than 90%. For clinically critical abnormal cells, the system attained 75% sensitivity for plasma cells (≥ 1%) and over 90% for the other five abnormal cell groups. Its specificity was above 90% for all abnormal cells except blasts, which had a specificity of 86.73%. Expert review further increased the correlation coefficients by 0.31% to 5.71%.</p>\n </section>\n \n <section>\n \n <h3> Conclusion</h3>\n \n <p>The MC-80 provides robust performance for routine leukocyte classification, with a screening capability for most abnormal cells comparable to that of manual microscopy. However, its reduced sensitivity for reactive lymphocytes, blasts, and plasma cells indicates that it cannot fully replace manual review. Targeted optimization is therefore warranted before full integration into diagnostic workflows.</p>\n </section>\n </div>","PeriodicalId":14120,"journal":{"name":"International Journal of Laboratory Hematology","volume":"48 5","pages":"1032-1039"},"PeriodicalIF":2.2000,"publicationDate":"2026-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Laboratory Hematology","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/ijlh.70170","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/6/17 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"HEMATOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Introduction
Although AI-powered digital morphology analyzers are widely used for leukocyte classification, their reliability in detecting clinically significant abnormal cells requires rigorous validation. We evaluated the Mindray MC-80 system by comparing its results with those of conventional hematology analyzers and manual microscopy to assess accuracy, sensitivity, and diagnostic limitations.
Methods
We analyzed 1188 routine blood samples (881 normal, 307 abnormal). Preclassification results from the MC-80 were compared with hematology analyzer results for normal samples and with manual microscopy by senior morphologists for abnormal samples. Inter-method agreement was assessed by Passing–Bablok regression, and sensitivity and specificity were calculated using expert-reviewed findings as the reference standard.
Results
The MC-80 preclassification demonstrated excellent correlation with reference assays, with r values greater than 0.9 for the majority of leukocyte subsets. Overall specificity reached over 99% for all cell populations. Excluding blasts and reactive lymphocytes, the sensitivity for all remaining cell types was higher than 90%. For clinically critical abnormal cells, the system attained 75% sensitivity for plasma cells (≥ 1%) and over 90% for the other five abnormal cell groups. Its specificity was above 90% for all abnormal cells except blasts, which had a specificity of 86.73%. Expert review further increased the correlation coefficients by 0.31% to 5.71%.
Conclusion
The MC-80 provides robust performance for routine leukocyte classification, with a screening capability for most abnormal cells comparable to that of manual microscopy. However, its reduced sensitivity for reactive lymphocytes, blasts, and plasma cells indicates that it cannot fully replace manual review. Targeted optimization is therefore warranted before full integration into diagnostic workflows.
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.