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Automated bone marrow analysis using the CD4000 automated haematology analyser
At present, bone marrow analysis is performed microscopically, but is time consuming and labour intensive. No automated methods have been successfully applied to classification of bone marrows cells because automated blood cell analysers have been incapable of identifying erythroblasts. The present...
Autores principales: | , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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Hindawi Publishing Corporation
2000
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2548260/ https://www.ncbi.nlm.nih.gov/pubmed/18924861 http://dx.doi.org/10.1155/S1463924600000109 |
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author | Yamamura, Ryousuke Yamane, Takahisa Hino, Masayuki Ohta, Kensuke Koh, Ki-Ryang Tsuda, Izumi Takubo, Takayuki Tatsumi, Noriyuki |
author_facet | Yamamura, Ryousuke Yamane, Takahisa Hino, Masayuki Ohta, Kensuke Koh, Ki-Ryang Tsuda, Izumi Takubo, Takayuki Tatsumi, Noriyuki |
author_sort | Yamamura, Ryousuke |
collection | PubMed |
description | At present, bone marrow analysis is performed microscopically, but is time consuming and labour intensive. No automated methods have been successfully applied to classification of bone marrows cells because automated blood cell analysers have been incapable of identifying erythroblasts. The present study was designed to evaluate automated analysis of bone marrow aspirates with the CELL-DYN 4000 (CD4000) haematology analyser, which enables automated determination of erythroblast counts in both the normal mode (haemolytic time; 11.5s) and the resistant RBC mode (34.0s). The percentages of subpopulations including lymphocytes, neutrophils and erythroblasts were obtained with the CD4000, and as a reference, differential counts by microscopic observation of May–Grünwald–Giesa-stained films of bone marrow aspirates were performed (n=98). Significant correlations (P < 0.01) between the results obtained with the two methods were observed for total nucleated cell count and lymphocytes, neutrophils, erythroblasts and myeloid/erythroid (M/E) ratio. However, there were biases in the average percentages of erythroblasts, lymphocytes and M/E ratio obtained using the normal mode with the CD4000 toward values lower than those obtained with the microscopic method. Using the RBC resistant mode with the CD4000, the average percentages of erythroblasts, lymphocytes and M/E ratio approximated those obtained with the microscopic method. In conclusion, the CD4000 in resistant RBC mode is more useful for analysis of bone marrow aspirates than is the normal mode, because the former better approximates the M/E ratio than the latter. |
format | Text |
id | pubmed-2548260 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2000 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-25482602008-10-16 Automated bone marrow analysis using the CD4000 automated haematology analyser Yamamura, Ryousuke Yamane, Takahisa Hino, Masayuki Ohta, Kensuke Koh, Ki-Ryang Tsuda, Izumi Takubo, Takayuki Tatsumi, Noriyuki J Autom Methods Manag Chem Research Article At present, bone marrow analysis is performed microscopically, but is time consuming and labour intensive. No automated methods have been successfully applied to classification of bone marrows cells because automated blood cell analysers have been incapable of identifying erythroblasts. The present study was designed to evaluate automated analysis of bone marrow aspirates with the CELL-DYN 4000 (CD4000) haematology analyser, which enables automated determination of erythroblast counts in both the normal mode (haemolytic time; 11.5s) and the resistant RBC mode (34.0s). The percentages of subpopulations including lymphocytes, neutrophils and erythroblasts were obtained with the CD4000, and as a reference, differential counts by microscopic observation of May–Grünwald–Giesa-stained films of bone marrow aspirates were performed (n=98). Significant correlations (P < 0.01) between the results obtained with the two methods were observed for total nucleated cell count and lymphocytes, neutrophils, erythroblasts and myeloid/erythroid (M/E) ratio. However, there were biases in the average percentages of erythroblasts, lymphocytes and M/E ratio obtained using the normal mode with the CD4000 toward values lower than those obtained with the microscopic method. Using the RBC resistant mode with the CD4000, the average percentages of erythroblasts, lymphocytes and M/E ratio approximated those obtained with the microscopic method. In conclusion, the CD4000 in resistant RBC mode is more useful for analysis of bone marrow aspirates than is the normal mode, because the former better approximates the M/E ratio than the latter. Hindawi Publishing Corporation 2000 /pmc/articles/PMC2548260/ /pubmed/18924861 http://dx.doi.org/10.1155/S1463924600000109 Text en Copyright © 2000 Hindawi Publishing Corporation. http://creativecommons.org/licenses/by/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Yamamura, Ryousuke Yamane, Takahisa Hino, Masayuki Ohta, Kensuke Koh, Ki-Ryang Tsuda, Izumi Takubo, Takayuki Tatsumi, Noriyuki Automated bone marrow analysis using the CD4000 automated haematology analyser |
title | Automated bone marrow analysis using the CD4000 automated haematology analyser |
title_full | Automated bone marrow analysis using the CD4000 automated haematology analyser |
title_fullStr | Automated bone marrow analysis using the CD4000 automated haematology analyser |
title_full_unstemmed | Automated bone marrow analysis using the CD4000 automated haematology analyser |
title_short | Automated bone marrow analysis using the CD4000 automated haematology analyser |
title_sort | automated bone marrow analysis using the cd4000 automated haematology analyser |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2548260/ https://www.ncbi.nlm.nih.gov/pubmed/18924861 http://dx.doi.org/10.1155/S1463924600000109 |
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