<?xml version="1.0" encoding="utf-8"?>
<journal>
<title>Iranian journal of Pediatric Hematology and Oncology</title>
<title_fa>Iranian journal of Pediatric Hematology and Oncology</title_fa>
<short_title>Iran J Ped Hematol Oncol</short_title>
<subject>Medical Sciences</subject>
<web_url>http://ijpho.ssu.ac.ir</web_url>
<journal_hbi_system_id>1</journal_hbi_system_id>
<journal_hbi_system_user>admin</journal_hbi_system_user>
<journal_id_issn>2008-8892</journal_id_issn>
<journal_id_issn_online>2228-6993</journal_id_issn_online>
<journal_id_pii>8</journal_id_pii>
<journal_id_doi>7</journal_id_doi>
<journal_id_iranmedex></journal_id_iranmedex>
<journal_id_magiran></journal_id_magiran>
<journal_id_sid>14</journal_id_sid>
<journal_id_nlai>8888</journal_id_nlai>
<journal_id_science>13</journal_id_science>
<language>en</language>
<pubdate>
	<type>jalali</type>
	<year>1404</year>
	<month>3</month>
	<day>1</day>
</pubdate>
<pubdate>
	<type>gregorian</type>
	<year>2025</year>
	<month>6</month>
	<day>1</day>
</pubdate>
<volume>15</volume>
<number>3</number>
<publish_type>online</publish_type>
<publish_edition>1</publish_edition>
<article_type>fulltext</article_type>
<articleset>
	<article>


	<language>en</language>
	<article_id_doi></article_id_doi>
	<title_fa></title_fa>
	<title>Optimizing Leukocyte Analysis for Pediatric Leukemia: A Comparison of Two Advanced Hematology Analyzers</title>
	<subject_fa>انکولوژی</subject_fa>
	<subject>Oncology</subject>
	<content_type_fa>پژوهشي</content_type_fa>
	<content_type>Research</content_type>
	<abstract_fa></abstract_fa>
	<abstract>&lt;div style=&quot;border: 1.5pt double windowtext; padding: 1pt 4pt; text-align: justify;&quot;&gt;&lt;span style=&quot;font-size:12px;&quot;&gt;&lt;span style=&quot;font-family:Tahoma;&quot;&gt;&lt;span style=&quot;line-height:normal&quot;&gt;&lt;span calibri=&quot;&quot;&gt;&lt;span new=&quot;&quot; roman=&quot;&quot; times=&quot;&quot;&gt;&lt;strong&gt;Background:&lt;/strong&gt; 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.&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;br&gt;
&lt;span style=&quot;line-height:normal&quot;&gt;&lt;span calibri=&quot;&quot;&gt;&lt;b&gt;&lt;span new=&quot;&quot; roman=&quot;&quot; times=&quot;&quot;&gt;Materials and Methods: &lt;/span&gt;&lt;/b&gt;&lt;span new=&quot;&quot; roman=&quot;&quot; times=&quot;&quot;&gt;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&amp;rsquo;s and Pearson&amp;rsquo;s correlation test, Passing-Bablok regression, and Bland-Altman analysis. A p-value of &lt; 0.05 was considered statistically significant.&lt;b&gt; &amp;nbsp;&lt;/b&gt;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;br&gt;
&lt;span style=&quot;line-height:normal&quot;&gt;&lt;span calibri=&quot;&quot;&gt;&lt;b&gt;&lt;span new=&quot;&quot; roman=&quot;&quot; times=&quot;&quot;&gt;Results: &lt;/span&gt;&lt;/b&gt;&lt;span new=&quot;&quot; roman=&quot;&quot; times=&quot;&quot;&gt;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 &lt; 0.01). EOS% demonstrated higher variability (S&lt;sub&gt;res&lt;/sub&gt;) = 1.48.&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;br&gt;
&lt;span style=&quot;line-height:normal&quot;&gt;&lt;span calibri=&quot;&quot;&gt;&lt;b&gt;&lt;span new=&quot;&quot; roman=&quot;&quot; times=&quot;&quot;&gt;Conclusion: &lt;/span&gt;&lt;/b&gt;&lt;span new=&quot;&quot; roman=&quot;&quot; times=&quot;&quot;&gt;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.&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/div&gt;</abstract>
	<keyword_fa></keyword_fa>
	<keyword>Leukemia, Leukocyte Count, Lymphoid, Pediatrics</keyword>
	<start_page>521</start_page>
	<end_page>529</end_page>
	<web_url>http://ijpho.ssu.ac.ir/browse.php?a_code=A-10-1183-1&amp;slc_lang=en&amp;sid=1</web_url>


<author_list>
	<author>
	<first_name>Alifferdi</first_name>
	<middle_name></middle_name>
	<last_name>Rahman Wiyono</last_name>
	<suffix></suffix>
	<first_name_fa>Alifferdi</first_name_fa>
	<middle_name_fa></middle_name_fa>
	<last_name_fa>Rahman Wiyono</last_name_fa>
	<suffix_fa></suffix_fa>
	<email>alifferdirahmanwiyono05@gmail.com</email>
	<code></code>
	<orcid>0009-0008-2909-9688</orcid>
	<coreauthor>Yes
</coreauthor>
	<affiliation>Clinical Pathology Specialization Program, Faculty of Medicine – Universitas Airlangga, Surabaya</affiliation>
	<affiliation_fa>Clinical Pathology Specialization Program, Faculty of Medicine – Universitas Airlangga, Surabaya</affiliation_fa>
	 </author>


	<author>
	<first_name>Aryati</first_name>
	<middle_name></middle_name>
	<last_name>Aryati</last_name>
	<suffix></suffix>
	<first_name_fa>Aryati</first_name_fa>
	<middle_name_fa></middle_name_fa>
	<last_name_fa>Aryati</last_name_fa>
	<suffix_fa></suffix_fa>
	<email>aryati@fk.unair.ac.id</email>
	<code></code>
	<orcid>0000-0001-9055-0177</orcid>
	<coreauthor>No</coreauthor>
	<affiliation>Departement of Clinical Pathology, Dr. Soetomo General Academic Hospital, Surabaya</affiliation>
	<affiliation_fa>Departement of Clinical Pathology, Dr. Soetomo General Academic Hospital, Surabaya</affiliation_fa>
	 </author>


	<author>
	<first_name>Yulia</first_name>
	<middle_name></middle_name>
	<last_name>Nadar Indrasari</last_name>
	<suffix></suffix>
	<first_name_fa>Yulia</first_name_fa>
	<middle_name_fa></middle_name_fa>
	<last_name_fa>Nadar Indrasari</last_name_fa>
	<suffix_fa></suffix_fa>
	<email>yulia.nadar@fk.unair.ac.id</email>
	<code></code>
	<orcid>0000-0001-9463-1409</orcid>
	<coreauthor>No</coreauthor>
	<affiliation>Departement of Clinical Pathology, Dr. Soetomo General Academic Hospital, Surabaya</affiliation>
	<affiliation_fa>Departement of Clinical Pathology, Dr. Soetomo General Academic Hospital, Surabaya</affiliation_fa>
	 </author>


	<author>
	<first_name>Mia</first_name>
	<middle_name></middle_name>
	<last_name>Ratwita Andarsini</last_name>
	<suffix></suffix>
	<first_name_fa>Mia</first_name_fa>
	<middle_name_fa></middle_name_fa>
	<last_name_fa>Ratwita Andarsini</last_name_fa>
	<suffix_fa></suffix_fa>
	<email>mia-r-a@fk.unair.ac.id</email>
	<code></code>
	<orcid>0000-0003-1431-5137</orcid>
	<coreauthor>No</coreauthor>
	<affiliation>Departement of Child Health, Dr. Soetomo General Academic Hospital, Surabaya</affiliation>
	<affiliation_fa>Departement of Child Health, Dr. Soetomo General Academic Hospital, Surabaya</affiliation_fa>
	 </author>


</author_list>


	</article>
</articleset>
</journal>
