Determining Acute Leukemia Lineage Using Mie Map Red Blood Cell

Authors

  • Nelly Zuroidah Department of Clinical Pathology, Faculty of Medicine, Universitas Airlangga/Dr. Soetomo General Academic Hospital, Surabaya,
  • Arifoel Hajat Department of Clinical Pathology, Faculty of Medicine, Universitas Airlangga/Dr. Soetomo General Academic Hospital, Surabaya,
  • Paulus Budiono Notopuro Department of Clinical Pathology, Faculty of Medicine, Universitas Airlangga/Dr. Soetomo General Academic Hospital, Surabaya,

DOI:

https://doi.org/10.24293/ijcpml.v28i1.1747

Keywords:

Mie Map RBC, acute leukemia, myeloid, lymphoid

Abstract

The determination of myeloid and lymphoid lineage is essential for the diagnosis and therapy of acute leukemia. Immunophenotyping is the gold standard to determine the lineage of acute leukemia, but it is still constrained and relatively expensive. Mie Map RBC in the ADVIA 2120i is a parameter that can give additional information about myeloid and lymphoid lineage but has never been studied before. It is expected that Mie Map RBC can be used to differentiate the lineage of acute myeloid and lymphoid leukemia if immunophenotyping is not present. This study aimed to analyze the diagnostic value of Mie Map RBC with ADVIA 2120i towards immunophenotyping in determining myeloid and lymphoid lineage in acute leukemia. Child and adult patients diagnosed with acute leukemia (n=30) that had peripheral blood smear and bone marrow aspiration with blasts > 20% were examined using ADVIA 2120i. The Mie Map RBC lineage results were compared to the lineage of immunophenotyping. The sensitivity and specificity of the Mie Map RBC myeloid series are respectively 60.00%, 93.33%. The sensitivity and specificity of the Mie Map RBC lymphoid series are respectively 93.33% and 60.00%. The diagnostic accuracy value of Mie Map RBC is 76.67%. The determination of acute leukemia myeloid series lineage has high specificity. If there is no population outside the matrix of Mie Map RBC, it highly suggests myeloid series. On the other hand, the determination of acute leukemia lymphoid series lineage has a relatively low specificity meaning that the population outside the matrix of Mie Map RBC does not always suggest a lymphoid lineage

Downloads

Download data is not yet available.

Author Biographies

Nelly Zuroidah, Department of Clinical Pathology, Faculty of Medicine, Universitas Airlangga/Dr. Soetomo General Academic Hospital, Surabaya,

Department of Clinical Pathology, Faculty of Medicine, Universitas Airlangga/Dr. Soetomo General Academic Hospital, Surabaya,

Arifoel Hajat, Department of Clinical Pathology, Faculty of Medicine, Universitas Airlangga/Dr. Soetomo General Academic Hospital, Surabaya,

Department of Clinical Pathology, Faculty of Medicine, Universitas Airlangga/Dr. Soetomo General Academic Hospital, Surabaya,

Paulus Budiono Notopuro, Department of Clinical Pathology, Faculty of Medicine, Universitas Airlangga/Dr. Soetomo General Academic Hospital, Surabaya,

Department of Clinical Pathology, Faculty of Medicine, Universitas Airlangga/Dr. Soetomo General Academic Hospital, Surabaya,

References

Keohane EM, Smith LJ, Walenga JM, Longanbach S, Miers MK. Automated blood cell analysis. In: Rodak's th hematology clinical principles and application. 5 Ed., St. Louis Missouri, Elsevier Inch, 2016; 219-221, 604-618.

Globocan. WHO international agency for research on cancer the global cancer observatory. 2018. Available from: https://gco.iarc.fr/today/data/factsheets/populations/ 360-Indonesia-fact-sheets.pdf

(accessed November 6, 2019).

Chauhan S, Pradhan S, Mohanty R, Saini A, Devi K, Sahu MC. Evaluation of sensitivity and specificity of bone marrow trephine biopsy tests in an Indian teaching hospital. Alexandria Journal of Medicine, 2018; (54): 161–166.

d'Onofrio G. PANDA–innovative classification of hematopoietic malignancies. Bloodline Reviews, 2001;

(2): 3–6.

Gibbs G. Peroxidase Activity and Nuclear Density Analysis (PANDA) in the diagnosis of hematological

malignancy. British Journal of Biomedical Science, 2005; 62(3): 137-140.

Gibbs G. White cells. In: Advia hematology systems a guide to cytogram interpretation. Lulu Press Inc, 2014; 5-17. 39-45.

Sultan S, Zaheer HA, Mohammed S, Irfan D, Ashar S. Demographic and clinical characteristics of adult

acute myeloid leukemia-tertiary care experience. Asian Pacific Journal of Cancer Prevention, 2016; 17: 357-360.

Leach M, Drummond M, Doig A. Practical flow cytometry in hematology diagnosis. England, John

Wiley & Sons Ltd., 2013; 43-93.

Downloads

Submitted

2020-11-28

Accepted

2021-06-16

Published

2021-12-15

How to Cite

[1]
Zuroidah, N., Hajat, A. and Notopuro, P.B. 2021. Determining Acute Leukemia Lineage Using Mie Map Red Blood Cell. INDONESIAN JOURNAL OF CLINICAL PATHOLOGY AND MEDICAL LABORATORY. 28, 1 (Dec. 2021), 1–4. DOI:https://doi.org/10.24293/ijcpml.v28i1.1747.

Issue

Section

Articles