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Immunophenotypic Features of Granulocytes, Monocytes, and Blasts in Myelodysplastic Syndromes
2010; 30(2): 97-104
Article
Original Article
Korean J Lab Med 2010; 30(6): 540-546
Published online December 1, 2010 https://doi.org/10.3343/kjlm.2010.30.6.540
Copyright © Korean Society for Laboratory Medicine.
Differential Blast Counts Obtained by Automated Blood Cell Analyzers
Seungwon Jung, M.D., Hyojin Chae, M.D., Jihyang Lim, M.D., Eun-Jee Oh, M.D., Yonggoo Kim, M.D., Yeon-Joon Park, M.D., and Kyungja Han, M.D.
Department of Laboratory Medicine, The Catholic University of Korea College of Medicine, Seoul, Korea
Correspondence to: Kyungja Han, M.D.
Department of Laboratory Medicine, Seoul St. Mary’s Hospital, The Catholic University of Korea College of Medicine, 505 Banpo-dong, Seocho-gu, Seoul 137-701, Korea
Tel : +82-2-2258-1644, Fax : +82-2-2258-1719
E-mail : hankja@catholic.ac.kr
*This study was partially supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology (MEST) (2009-0087946).
Received: April 22, 2010; Revised: October 11, 2010; Accepted: October 13, 2010
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Background: Automated blood cell analyzers often read leukemic blasts as normal cells. In this study, we evaluated the 5-part differential patterns of blasts using automated analyzers to determine if they can differentiate among blast types.
Methods: Blood samples containing 10% or more blasts were collected from patients with acute leukemia (N=175). The 5-part differential count was conducted using DxH 800 (Beckman Coulter, USA) and XE-2100 analyzers (Sysmex Co., Japan), and the results were compared with manual differential counts, which was used as a reference method.
Results: The DxH 800 reported the 5-part white blood cell differential count in 98.9% of the cases. The XE-2100 provided an invalid automated differential count in 72% of the cases. Both analyzers counted most lymphoblasts as lymphocytes and most myeloblasts as monocytes. In 11 cases, the DxH 800 reported a 5-part differential count without a blast flag.
Conclusions: Some automated analyzers are able to recognize and count blasts according to their characteristic cell types. Therefore, complete blood counts obtained automatically can provide valuable data for making provisional decisions regarding the lineage of leukemia cells before further investigation. (Korean J Lab Med 2010;30:540-6)
Results: The DxH 800 reported the 5-part white blood cell differential count in 98.9% of the cases. The XE-2100 provided an invalid automated differential count in 72% of the cases. Both analyzers counted most lymphoblasts as lymphocytes and most myeloblasts as monocytes. In 11 cases, the DxH 800 reported a 5-part differential count without a blast flag.
Conclusions: Some automated analyzers are able to recognize and count blasts according to their characteristic cell types. Therefore, complete blood counts obtained automatically can provide valuable data for making provisional decisions regarding the lineage of leukemia cells before further investigation. (Korean J Lab Med 2010;30:540-6)
Keywords: Blast, Blood cell analyzer, Leukocyte differential, Manual differential