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Side scatter versus CD45 flow cytometric plot can distinguish acute leukaemia subtypes
BACKGROUND & OBJECTIVES: Flow cytometry is an important tool to diagnose acute leukaemia. Attempts are being made to find the minimal number of antibodies for correctly diagnosing acute leukaemia subtypes. The present study was designed to evaluate the analysis of side scatter (SSC) versus CD45...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Medknow Publications & Media Pvt Ltd
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5080924/ https://www.ncbi.nlm.nih.gov/pubmed/27748273 http://dx.doi.org/10.4103/0971-5916.191743 |
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author | Saksena, Annapurna Gautam, Parul Desai, Parth Gupta, Naresh Dubey, A. P. Singh, Tejinder |
author_facet | Saksena, Annapurna Gautam, Parul Desai, Parth Gupta, Naresh Dubey, A. P. Singh, Tejinder |
author_sort | Saksena, Annapurna |
collection | PubMed |
description | BACKGROUND & OBJECTIVES: Flow cytometry is an important tool to diagnose acute leukaemia. Attempts are being made to find the minimal number of antibodies for correctly diagnosing acute leukaemia subtypes. The present study was designed to evaluate the analysis of side scatter (SSC) versus CD45 flow dot plot to distinguish acute myeloid leukaemia (AML) from acute lymphoblastic leukaemia (ALL), with minimal immunological markers. METHODS: One hundred consecutive cases of acute leukaemia were evaluated for blast cluster on SSC versus CD45 plots. The parameters studied included visual shape, CD45 and side scatter expression, continuity with residual granulocytes/lymphocytes/monocytes and ratio of maximum width to maximum height (w/h). The final diagnosis of ALL and AML and their subtypes was made by morphology, cytochemistry and immunophenotyping. Two sample Wilcoxon rank-sum (Mann Whitney) test and Kruskal-Wallis equality-of-populations rank tests were applied to elucidate the significance of the above ratios of blast cluster for diagnosis of ALL, AML and their subtypes. Receiver operating characteristic (ROC) curves were generated and the optimal cut-offs of the w/h ratio to distinguish between ALL and AML determined. RESULTS: Of the 100 cases, 57 of ALL and 43 cases of AML were diagnosed. The median w/h ratio of blast population was 3.8 for ALL and 1 for AML (P<0.001). ROC had area under curve of 0.9772. The optimal cut-off of the w/h ratio for distinction of ALL from AML was found to be 1.6. INTERPRETATION & CONCLUSIONS: Our findings suggest that if w/h ratio on SSC versus CD45 plot is less than 1.6, AML may be considered, and if it is more than 1.6, ALL may be diagnosed. Using morphometric analysis of the blast cluster on SSC versus CD45, it was possible to distinguish between ALL and AML, and their subtypes. |
format | Online Article Text |
id | pubmed-5080924 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Medknow Publications & Media Pvt Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-50809242016-11-14 Side scatter versus CD45 flow cytometric plot can distinguish acute leukaemia subtypes Saksena, Annapurna Gautam, Parul Desai, Parth Gupta, Naresh Dubey, A. P. Singh, Tejinder Indian J Med Res Original Article BACKGROUND & OBJECTIVES: Flow cytometry is an important tool to diagnose acute leukaemia. Attempts are being made to find the minimal number of antibodies for correctly diagnosing acute leukaemia subtypes. The present study was designed to evaluate the analysis of side scatter (SSC) versus CD45 flow dot plot to distinguish acute myeloid leukaemia (AML) from acute lymphoblastic leukaemia (ALL), with minimal immunological markers. METHODS: One hundred consecutive cases of acute leukaemia were evaluated for blast cluster on SSC versus CD45 plots. The parameters studied included visual shape, CD45 and side scatter expression, continuity with residual granulocytes/lymphocytes/monocytes and ratio of maximum width to maximum height (w/h). The final diagnosis of ALL and AML and their subtypes was made by morphology, cytochemistry and immunophenotyping. Two sample Wilcoxon rank-sum (Mann Whitney) test and Kruskal-Wallis equality-of-populations rank tests were applied to elucidate the significance of the above ratios of blast cluster for diagnosis of ALL, AML and their subtypes. Receiver operating characteristic (ROC) curves were generated and the optimal cut-offs of the w/h ratio to distinguish between ALL and AML determined. RESULTS: Of the 100 cases, 57 of ALL and 43 cases of AML were diagnosed. The median w/h ratio of blast population was 3.8 for ALL and 1 for AML (P<0.001). ROC had area under curve of 0.9772. The optimal cut-off of the w/h ratio for distinction of ALL from AML was found to be 1.6. INTERPRETATION & CONCLUSIONS: Our findings suggest that if w/h ratio on SSC versus CD45 plot is less than 1.6, AML may be considered, and if it is more than 1.6, ALL may be diagnosed. Using morphometric analysis of the blast cluster on SSC versus CD45, it was possible to distinguish between ALL and AML, and their subtypes. Medknow Publications & Media Pvt Ltd 2016-05 /pmc/articles/PMC5080924/ /pubmed/27748273 http://dx.doi.org/10.4103/0971-5916.191743 Text en Copyright: © Indian Journal of Medical Research http://creativecommons.org/licenses/by-nc-sa/3.0 This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms. |
spellingShingle | Original Article Saksena, Annapurna Gautam, Parul Desai, Parth Gupta, Naresh Dubey, A. P. Singh, Tejinder Side scatter versus CD45 flow cytometric plot can distinguish acute leukaemia subtypes |
title | Side scatter versus CD45 flow cytometric plot can distinguish acute leukaemia subtypes |
title_full | Side scatter versus CD45 flow cytometric plot can distinguish acute leukaemia subtypes |
title_fullStr | Side scatter versus CD45 flow cytometric plot can distinguish acute leukaemia subtypes |
title_full_unstemmed | Side scatter versus CD45 flow cytometric plot can distinguish acute leukaemia subtypes |
title_short | Side scatter versus CD45 flow cytometric plot can distinguish acute leukaemia subtypes |
title_sort | side scatter versus cd45 flow cytometric plot can distinguish acute leukaemia subtypes |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5080924/ https://www.ncbi.nlm.nih.gov/pubmed/27748273 http://dx.doi.org/10.4103/0971-5916.191743 |
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