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Flow Cytometric White Blood Cell Differential Using CytoDiff is Excellent for Counting Blasts

BACKGROUND: The usefulness of the CytoDiff flow cytometric system (Beckman Coulter, USA) has been studied in various conditions, but its performance including rapidity in detecting and counting blasts, the most significant abnormal cells in the peripheral blood, has not been well evaluated. The obje...

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Autores principales: Kahng, Jimin, Kim, Yonggoo, Kim, Myungshin, Oh, Eun-Jee, Park, Yeon-Joon, Han, Kyungja
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Society for Laboratory Medicine 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4272962/
https://www.ncbi.nlm.nih.gov/pubmed/25553277
http://dx.doi.org/10.3343/alm.2015.35.1.28
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author Kahng, Jimin
Kim, Yonggoo
Kim, Myungshin
Oh, Eun-Jee
Park, Yeon-Joon
Han, Kyungja
author_facet Kahng, Jimin
Kim, Yonggoo
Kim, Myungshin
Oh, Eun-Jee
Park, Yeon-Joon
Han, Kyungja
author_sort Kahng, Jimin
collection PubMed
description BACKGROUND: The usefulness of the CytoDiff flow cytometric system (Beckman Coulter, USA) has been studied in various conditions, but its performance including rapidity in detecting and counting blasts, the most significant abnormal cells in the peripheral blood, has not been well evaluated. The objective of this study was to evaluate the performance of the CytoDiff differential counting method in challenging samples with blasts. METHODS: In total, 815 blood samples were analyzed. Samples flagged as "blasts" or "variant lymphocytes" and showing <10% blasts by manual counts were included. In total, 322 samples showed blasts on manual counts, ranging from 0.5% to 99%. The CytoDiff method was performed by flow cytometry (FC500; Beckman Coulter, USA) with a pre-mixed CytoDiff reagent and analyzing software (CytoDiff CXP 2.0; Beckman Coulter). RESULTS: The average time required to analyze 20 samples was approximately 60 min for manual counts, and the hands-on time for the CytoDiff method was 15 min. The correlation between the CytoDiff and manual counts was good (r>0.8) for neutrophils and lymphocytes but poor (r<0.8) for other cells. When the cutoff value of the CytoDiff blast count was set at 1%, the sensitivity was 94.4% (95% CI; 91.2-96.6) and specificity was 91.9% (95% CI; 89.0-94.1). The positive predictive value was 88.4% (95% CI; 84.4-91.5) (304/344 cases) and negative predictive value was 96.2% (95% CI; 93.9-97.7) (453/471 cases). The CytoDiff blast counts correlated well to the manual counts (r=0.9223). CONCLUSIONS: The CytoDiff method is a specific, sensitive, and rapid method for counting blasts. A cutoff value of 1% of at least 1 type of blast is recommended for positive CytoDiff blast counts.
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spelling pubmed-42729622015-01-01 Flow Cytometric White Blood Cell Differential Using CytoDiff is Excellent for Counting Blasts Kahng, Jimin Kim, Yonggoo Kim, Myungshin Oh, Eun-Jee Park, Yeon-Joon Han, Kyungja Ann Lab Med Original Article BACKGROUND: The usefulness of the CytoDiff flow cytometric system (Beckman Coulter, USA) has been studied in various conditions, but its performance including rapidity in detecting and counting blasts, the most significant abnormal cells in the peripheral blood, has not been well evaluated. The objective of this study was to evaluate the performance of the CytoDiff differential counting method in challenging samples with blasts. METHODS: In total, 815 blood samples were analyzed. Samples flagged as "blasts" or "variant lymphocytes" and showing <10% blasts by manual counts were included. In total, 322 samples showed blasts on manual counts, ranging from 0.5% to 99%. The CytoDiff method was performed by flow cytometry (FC500; Beckman Coulter, USA) with a pre-mixed CytoDiff reagent and analyzing software (CytoDiff CXP 2.0; Beckman Coulter). RESULTS: The average time required to analyze 20 samples was approximately 60 min for manual counts, and the hands-on time for the CytoDiff method was 15 min. The correlation between the CytoDiff and manual counts was good (r>0.8) for neutrophils and lymphocytes but poor (r<0.8) for other cells. When the cutoff value of the CytoDiff blast count was set at 1%, the sensitivity was 94.4% (95% CI; 91.2-96.6) and specificity was 91.9% (95% CI; 89.0-94.1). The positive predictive value was 88.4% (95% CI; 84.4-91.5) (304/344 cases) and negative predictive value was 96.2% (95% CI; 93.9-97.7) (453/471 cases). The CytoDiff blast counts correlated well to the manual counts (r=0.9223). CONCLUSIONS: The CytoDiff method is a specific, sensitive, and rapid method for counting blasts. A cutoff value of 1% of at least 1 type of blast is recommended for positive CytoDiff blast counts. The Korean Society for Laboratory Medicine 2015-01 2014-12-08 /pmc/articles/PMC4272962/ /pubmed/25553277 http://dx.doi.org/10.3343/alm.2015.35.1.28 Text en © The Korean Society for Laboratory Medicine. http://creativecommons.org/licenses/by-nc/3.0/ 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.
spellingShingle Original Article
Kahng, Jimin
Kim, Yonggoo
Kim, Myungshin
Oh, Eun-Jee
Park, Yeon-Joon
Han, Kyungja
Flow Cytometric White Blood Cell Differential Using CytoDiff is Excellent for Counting Blasts
title Flow Cytometric White Blood Cell Differential Using CytoDiff is Excellent for Counting Blasts
title_full Flow Cytometric White Blood Cell Differential Using CytoDiff is Excellent for Counting Blasts
title_fullStr Flow Cytometric White Blood Cell Differential Using CytoDiff is Excellent for Counting Blasts
title_full_unstemmed Flow Cytometric White Blood Cell Differential Using CytoDiff is Excellent for Counting Blasts
title_short Flow Cytometric White Blood Cell Differential Using CytoDiff is Excellent for Counting Blasts
title_sort flow cytometric white blood cell differential using cytodiff is excellent for counting blasts
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4272962/
https://www.ncbi.nlm.nih.gov/pubmed/25553277
http://dx.doi.org/10.3343/alm.2015.35.1.28
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