Introduction: Automated hematology analysis represents a key segment of diagnostics in modern laboratories. It ensures time saving, personnel and financial resources while ensuring the accuracy of the performed analyses. Sysmex XN 3100 is a modern, high performance fully automated hematology analyzer. One of its advantages is the provision of specific flags if abnormalities are detected in the sample. The appearance of flags is determined by predefined algorithms based on artificial intelligence and advanced statistical methods. The aim of this paper is to evaluate the diagnostic value of flags that appear on two modules of the Sysmex XN 3100 analyzer. Material and methods: 100 samples from routine work were analyzed in which certain flags were detected, as well as samples in which the analyzer independently made a blood smear and a digital optical image. The analysis was performed in the hematology laboratory of Clinic for Biochemistry and Laboratory Medicine - Clinical Center University of Sarajevo. All samples were analyzed on two analyzer modules (XN10 and XN20), and the accuracy of the given flags was assessed by analyzing data obtained by digital optical microscopy after validation by highly trained personnel. The methods used in blood cell differentiation in this analyzer are: impedance, optical light dispersion, fluorescent flow cytometry, and for hemoglobin determination, a specific spectrophotometric method. Results: XN10 module registered 13 flags for erythrocytes (RBC), 59 for leukocytes (WBC) and 30 for platelets (PLT), while on the XN20 module 10 flags for RBC, 53 for WBC and 17 for PLT. Specificity and sensitivity were calculated for both modules. The overall specificity of the XN10 module's flags is 89.7% (98.9% for RBC, 70.7% for WBC, 93.5% for PLT), while the overall specificity of the XN20 module's flags is 93.4% (98.9% for RBC, 78.3% for WBC, 98.7% for PLT). The overall sensitivity of the XN10 module's flags is 70.5% (70.6% for RBC, 61.8% for WBC, 92.6% for PLT), while the sensitivity of the XN20 module's flags is 60.7% (56.3% for RBC, 60.6% for WBC, 64% for PLT). The overall specificity of both modules indicates a low number of false positive results, while the obtained sensitivity value may indicate an increased risk of false negative findings. The obtained data suggest the need for further evaluation on a larger number of samples, with these results being treated as preliminary and a basis for further research.

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Evaluation of the Diagnostic Value of XN10 and XN20 Module Flags of the Sysmex XN 3100 Hematology Analyzer

  • Nermina Klapuh-Bukvić,
  • Zehra Kurtanović,
  • Damir Šeper,
  • Alma Herić

摘要

Introduction: Automated hematology analysis represents a key segment of diagnostics in modern laboratories. It ensures time saving, personnel and financial resources while ensuring the accuracy of the performed analyses. Sysmex XN 3100 is a modern, high performance fully automated hematology analyzer. One of its advantages is the provision of specific flags if abnormalities are detected in the sample. The appearance of flags is determined by predefined algorithms based on artificial intelligence and advanced statistical methods. The aim of this paper is to evaluate the diagnostic value of flags that appear on two modules of the Sysmex XN 3100 analyzer. Material and methods: 100 samples from routine work were analyzed in which certain flags were detected, as well as samples in which the analyzer independently made a blood smear and a digital optical image. The analysis was performed in the hematology laboratory of Clinic for Biochemistry and Laboratory Medicine - Clinical Center University of Sarajevo. All samples were analyzed on two analyzer modules (XN10 and XN20), and the accuracy of the given flags was assessed by analyzing data obtained by digital optical microscopy after validation by highly trained personnel. The methods used in blood cell differentiation in this analyzer are: impedance, optical light dispersion, fluorescent flow cytometry, and for hemoglobin determination, a specific spectrophotometric method. Results: XN10 module registered 13 flags for erythrocytes (RBC), 59 for leukocytes (WBC) and 30 for platelets (PLT), while on the XN20 module 10 flags for RBC, 53 for WBC and 17 for PLT. Specificity and sensitivity were calculated for both modules. The overall specificity of the XN10 module's flags is 89.7% (98.9% for RBC, 70.7% for WBC, 93.5% for PLT), while the overall specificity of the XN20 module's flags is 93.4% (98.9% for RBC, 78.3% for WBC, 98.7% for PLT). The overall sensitivity of the XN10 module's flags is 70.5% (70.6% for RBC, 61.8% for WBC, 92.6% for PLT), while the sensitivity of the XN20 module's flags is 60.7% (56.3% for RBC, 60.6% for WBC, 64% for PLT). The overall specificity of both modules indicates a low number of false positive results, while the obtained sensitivity value may indicate an increased risk of false negative findings. The obtained data suggest the need for further evaluation on a larger number of samples, with these results being treated as preliminary and a basis for further research.