Optimizing Leukocyte Analysis for Pediatric Leukemia: A Comparison of Two Advanced Hematology Analyzers

Background: Acute lymphocytic leukemia (ALL) is a hematologic malignancy affecting the lymphoid lineage, characterized by the uncontrolled proliferation of abnormal, immature lymphocytes and their precursors. The routine use of automated hematology analyzers has become a valuable aid for clinicians in diagnosing leukemia. This study aims to examine the correlation between two automated hematology analyzers in patients with leukemia, particularly in pediatric populations. Materials and Methods: This cross-sectional study involved 57 pediatric patients diagnosed with leukemia who were referred to the Paediatric Hematology Outpatient Clinic at Dr. Soetomo General Academic Hospital, Indonesia. After obtaining informed consent, peripheral blood samples were collected in ethylenediaminetetraacetic acid (EDTA) tubes and analyzed using the Sysmex XN-Series and Horiba Yumizen H2500 automated hematology analyzers. Parameters measured included White Blood Cell (WBC) count, Neutrophil Percentage (NEU%), Lymphocyte Percentage (LYM%), Eosinophil Percentage (EOS%), and Monocyte Percentage (MON%). Data were analyzed using SPSS version 21. Statistical tests applied included the Kolmogorov-Smirnov test, Shapiro-Wilk test, paired t-test, Wilcoxon signed-rank test, Spearman’s and Pearson’s correlation test, Passing-Bablok regression, and Bland-Altman analysis. A p-value of < 0.05 was considered statistically significant. Results: Statistically significant differences were observed between the two analyzers in the median values of WBC count (p = 0.001) and MON% (p = 0.006), as well as in the mean value of NEU% (p = 0.024). Despite these differences, strong correlations were found across all parameters, including WBC, NEU%, LYM%, MON%, and EOS% (p < 0.01). EOS% demonstrated higher variability (Sres) = 1.48. Conclusion: The Sysmex XN-Series and Yumizen H2500 demonstrated a good correlation in the measurement of WBC parameters in pediatric leukemia patients. However, minor variations, particularly in eosinophil percentages, may arise due to differences in measurement techniques, reagent formulations, and interlaboratory variability. Despite these variations, both analyzers are reliable for clinical use.

Authors

Institutions

Publication Details

Journal
Iranian Journal of Pediatric Hematology & Oncology
Published
2025-06-16
DOI
https://doi.org/10.18502/ijpho.v15i3.18917
Primary Topic
Digital Imaging for Blood Diseases
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Optimizing Leukocyte Analysis for Pediatric Leukemia: A Comparison of Two Advanced Hematology Analyzers

Yulia Nadar Indrasari, Mia Ratwita Andarsini, Aryati Aryati, Alifferdi Rahman Wiyono
Iranian Journal of Pediatric Hematology & Oncology
Digital Imaging for Blood Diseases
article

Optimizing Leukocyte Analysis for Pediatric Leukemia: A Comparison of Two Advanced Hematology Analyzers

Yulia Nadar Indrasari, Mia Ratwita Andarsini, Aryati Aryati, Alifferdi Rahman Wiyono
article en

Abstract

Background: Acute lymphocytic leukemia (ALL) is a hematologic malignancy affecting the lymphoid lineage, characterized by the uncontrolled proliferation of abnormal, immature lymphocytes and their precursors. The routine use of automated hematology analyzers has become a valuable aid for clinicians in diagnosing leukemia. This study aims to examine the correlation between two automated hematology analyzers in patients with leukemia, particularly in pediatric populations. Materials and Methods: This cross-sectional study involved 57 pediatric patients diagnosed with leukemia who were referred to the Paediatric Hematology Outpatient Clinic at Dr. Soetomo General Academic Hospital, Indonesia. After obtaining informed consent, peripheral blood samples were collected in ethylenediaminetetraacetic acid (EDTA) tubes and analyzed using the Sysmex XN-Series and Horiba Yumizen H2500 automated hematology analyzers. Parameters measured included White Blood Cell (WBC) count, Neutrophil Percentage (NEU%), Lymphocyte Percentage (LYM%), Eosinophil Percentage (EOS%), and Monocyte Percentage (MON%). Data were analyzed using SPSS version 21. Statistical tests applied included the Kolmogorov-Smirnov test, Shapiro-Wilk test, paired t-test, Wilcoxon signed-rank test, Spearman’s and Pearson’s correlation test, Passing-Bablok regression, and Bland-Altman analysis. A p-value of < 0.05 was considered statistically significant. Results: Statistically significant differences were observed between the two analyzers in the median values of WBC count (p = 0.001) and MON% (p = 0.006), as well as in the mean value of NEU% (p = 0.024). Despite these differences, strong correlations were found across all parameters, including WBC, NEU%, LYM%, MON%, and EOS% (p < 0.01). EOS% demonstrated higher variability (Sres) = 1.48. Conclusion: The Sysmex XN-Series and Yumizen H2500 demonstrated a good correlation in the measurement of WBC parameters in pediatric leukemia patients. However, minor variations, particularly in eosinophil percentages, may arise due to differences in measurement techniques, reagent formulations, and interlaboratory variability. Despite these variations, both analyzers are reliable for clinical use.

Iranian Journal of Pediatric Hematology & Oncology
Universitas Airlangga (ID), Universitas Dr. Soetomo (ID)
Openalex Percentile: Top 87%
Digital Imaging for Blood Diseases
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.