{"title":"Sysmex XN-9000 Hematology Analyzer Can Provide Reference for the Classification of Nucleated Cells in Body Fluid and Detect Malignant Serous Effusion.","authors":"Yabin Chen, Jian Huang, Huidan Chen, Linghui Ma, Min Dou, Qiurong Zhao, Zhishan Zhang, Xiaomei Wen","doi":"","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>The purpose of this study is to evaluate the accuracy of Sysmex XN-9000 hematology analyzer (XN-9000) in detecting nucleated cell classifications in serous effusion and to further evaluate whether it can be used for screening malignant serous effusion.</p><p><strong>Methods: </strong>The consistency between XN-9000 and manual microscopy in the classification of nucleated cells was evaluated using Passing-Bablok regression and Bland-Altman plot. ROC analysis was applied to evaluate the value of HF-BF% in screening malignant specimens.</p><p><strong>Results: </strong>In the serous effusion of the group with nucleated cell count of (0-150) ×10<sup>6</sup>/μL, high consistency between XN-9000 and manual microscopy was found in detecting NE-BF% and LY-BF%. In the group with nucleated cell count >150×10<sup>6</sup>/μL, there was high consistency in detecting NE-BF%, LY-BF%, and HF-BF%. ROC analysis showed that HF-BF% can be used for screening malignant serous effusion, with an area under the curve (AUC) of 0.572 (95%CI=0.504~0.639).</p><p><strong>Conclusion: </strong>If XN-9000 detection results are mainly NE-BF% and LY-BF%, the classification can be effectively referred to and reported regardless of the number of nucleated cells in the serous effusion. HF-BF% has certain value in screening malignant serous effusion with a nuclear cell count >150×10<sup>6</sup>/μL. The optimal cut-off value is 13.15%.</p>","PeriodicalId":8228,"journal":{"name":"Annals of clinical and laboratory science","volume":"54 5","pages":"671-678"},"PeriodicalIF":1.1000,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annals of clinical and laboratory science","FirstCategoryId":"3","ListUrlMain":"","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"MEDICAL LABORATORY TECHNOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Objective: The purpose of this study is to evaluate the accuracy of Sysmex XN-9000 hematology analyzer (XN-9000) in detecting nucleated cell classifications in serous effusion and to further evaluate whether it can be used for screening malignant serous effusion.
Methods: The consistency between XN-9000 and manual microscopy in the classification of nucleated cells was evaluated using Passing-Bablok regression and Bland-Altman plot. ROC analysis was applied to evaluate the value of HF-BF% in screening malignant specimens.
Results: In the serous effusion of the group with nucleated cell count of (0-150) ×106/μL, high consistency between XN-9000 and manual microscopy was found in detecting NE-BF% and LY-BF%. In the group with nucleated cell count >150×106/μL, there was high consistency in detecting NE-BF%, LY-BF%, and HF-BF%. ROC analysis showed that HF-BF% can be used for screening malignant serous effusion, with an area under the curve (AUC) of 0.572 (95%CI=0.504~0.639).
Conclusion: If XN-9000 detection results are mainly NE-BF% and LY-BF%, the classification can be effectively referred to and reported regardless of the number of nucleated cells in the serous effusion. HF-BF% has certain value in screening malignant serous effusion with a nuclear cell count >150×106/μL. The optimal cut-off value is 13.15%.
期刊介绍:
The Annals of Clinical & Laboratory Science
welcomes manuscripts that report research in clinical
science, including pathology, clinical chemistry,
biotechnology, molecular biology, cytogenetics,
microbiology, immunology, hematology, transfusion
medicine, organ and tissue transplantation, therapeutics, toxicology, and clinical informatics.