Literature DB >> 14994372

Automation of bone marrow aspirate examination using the XE-2100 automated hematology analyzer.

Yusuke Mori1, Toshihiro Mizukami, Yukio Hamaguchi, Kazuto Tsuruda, Yasuaki Yamada, Shimeru Kamihira.   

Abstract

BACKGROUND: Attempts to analyze bone marrow aspirates have been reported with the use of several automated blood cell counters, but sufficient accuracy in examination is not acquired yet. Major problems have included difficulties in correctly differentiating various immature cells and interference by lipid in bone marrow aspirates. The goal of this study was to solve these problems to attain more accurate assessment of bone marrow aspirates with automated blood cell counters.
METHODS: We modified the XE-2100 Automated Hematology Analyzer (Sysmex Corporation, Kobe, Japan) to fit it for bone marrow aspirate measurement and evaluated its performance. Measurements were performed with the modified XE-2100 on 81 patient samples of bone marrow aspirates; as a reference, the manual visual method was used and flow cytometric analysis were carried out.
RESULTS: Good correlations between results with the modified XE-2100 and the manual visual method were obtained for total nucleated cell count (TNCC; r = 0.99), erythroblast/TNCC ratio (r = 0.93), and myeloid cell/TNCC ratio (r = 0.75).
CONCLUSIONS: When this device is used, bone marrow aspirate differentials can be determined quickly and easily. This device will be useful for preliminary examination to obtain a summary of various blood cell ratios in bone marrow aspirates before performance of microscopic examination. Copyright 2004 Wiley-Liss, Inc.

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Year:  2004        PMID: 14994372     DOI: 10.1002/cyto.b.10070

Source DB:  PubMed          Journal:  Cytometry B Clin Cytom        ISSN: 1552-4949            Impact factor:   3.058


  2 in total

1.  Reliable assessment of bone marrow and bone marrow concentrates using automated hematology analyzer.

Authors:  Venkata P Mantripragada; Nicolas S Piuzzi; Jaiben George; Wesley Bova; Mitchell Ng; Cynthia Boehm; George F Muschler
Journal:  Regen Med       Date:  2019-07-19       Impact factor: 3.806

2.  Machine-based detection and classification for bone marrow aspirate differential counts: initial development focusing on nonneoplastic cells.

Authors:  Ramraj Chandradevan; Ahmed A Aljudi; Bradley R Drumheller; Nilakshan Kunananthaseelan; Mohamed Amgad; David A Gutman; Lee A D Cooper; David L Jaye
Journal:  Lab Invest       Date:  2019-09-30       Impact factor: 5.662

  2 in total

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