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Performance of the CellaVision(®) DM96 system for detecting red blood cell morphologic abnormalities

BACKGROUND: Red blood cell (RBC) analysis is a key feature in the evaluation of hematological disorders. The gold standard light microscopy technique has high sensitivity, but is a relativity time-consuming and labor intensive procedure. This study tested the sensitivity and specificity of gold stan...

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Autores principales: Horn, Christopher L., Mansoor, Adnan, Wood, Brenda, Nelson, Heather, Higa, Diane, Lee, Lik Hang, Naugler, Christopher
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4355826/
https://www.ncbi.nlm.nih.gov/pubmed/25774322
http://dx.doi.org/10.4103/2153-3539.151922
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author Horn, Christopher L.
Mansoor, Adnan
Wood, Brenda
Nelson, Heather
Higa, Diane
Lee, Lik Hang
Naugler, Christopher
author_facet Horn, Christopher L.
Mansoor, Adnan
Wood, Brenda
Nelson, Heather
Higa, Diane
Lee, Lik Hang
Naugler, Christopher
author_sort Horn, Christopher L.
collection PubMed
description BACKGROUND: Red blood cell (RBC) analysis is a key feature in the evaluation of hematological disorders. The gold standard light microscopy technique has high sensitivity, but is a relativity time-consuming and labor intensive procedure. This study tested the sensitivity and specificity of gold standard light microscopy manual differential to the CellaVision(®) DM96 (CCS; CellaVision, Lund, Sweden) automated image analysis system, which takes digital images of samples at high magnification and compares these images with an artificial neural network based on a database of cells and preclassified according to RBC morphology. METHODS: In this study, 212 abnormal peripheral blood smears within the Calgary Laboratory Services network of hospital laboratories were selected and assessed for 15 different RBC morphologic abnormalities by manual microscopy. The same samples were reassessed as a manual addition from the instrument screen using the CellaVision(®) DM96 system with 8 microscope high power fields (×100 objective and a 22 mm ocular). The results of the investigation were then used to calculate the sensitivity and specificity of the CellaVision(®) DM96 system in reference to light microscopy. RESULTS: The sensitivity ranged from a low of 33% (RBC agglutination) to a high of 100% (sickle cells, stomatocytes). The remainder of the RBC abnormalities tested somewhere between these two extremes. The specificity ranged from 84% (schistocytes) to 99.5% (sickle cells, stomatocytes). CONCLUSIONS: Our results showed generally high specificities but variable sensitivities for RBC morphologic abnormalities.
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spelling pubmed-43558262015-03-13 Performance of the CellaVision(®) DM96 system for detecting red blood cell morphologic abnormalities Horn, Christopher L. Mansoor, Adnan Wood, Brenda Nelson, Heather Higa, Diane Lee, Lik Hang Naugler, Christopher J Pathol Inform Original Article BACKGROUND: Red blood cell (RBC) analysis is a key feature in the evaluation of hematological disorders. The gold standard light microscopy technique has high sensitivity, but is a relativity time-consuming and labor intensive procedure. This study tested the sensitivity and specificity of gold standard light microscopy manual differential to the CellaVision(®) DM96 (CCS; CellaVision, Lund, Sweden) automated image analysis system, which takes digital images of samples at high magnification and compares these images with an artificial neural network based on a database of cells and preclassified according to RBC morphology. METHODS: In this study, 212 abnormal peripheral blood smears within the Calgary Laboratory Services network of hospital laboratories were selected and assessed for 15 different RBC morphologic abnormalities by manual microscopy. The same samples were reassessed as a manual addition from the instrument screen using the CellaVision(®) DM96 system with 8 microscope high power fields (×100 objective and a 22 mm ocular). The results of the investigation were then used to calculate the sensitivity and specificity of the CellaVision(®) DM96 system in reference to light microscopy. RESULTS: The sensitivity ranged from a low of 33% (RBC agglutination) to a high of 100% (sickle cells, stomatocytes). The remainder of the RBC abnormalities tested somewhere between these two extremes. The specificity ranged from 84% (schistocytes) to 99.5% (sickle cells, stomatocytes). CONCLUSIONS: Our results showed generally high specificities but variable sensitivities for RBC morphologic abnormalities. Medknow Publications & Media Pvt Ltd 2015-02-24 /pmc/articles/PMC4355826/ /pubmed/25774322 http://dx.doi.org/10.4103/2153-3539.151922 Text en Copyright: © 2015 Horn CL. http://creativecommons.org/licenses/by-nc-sa/3.0 This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Original Article
Horn, Christopher L.
Mansoor, Adnan
Wood, Brenda
Nelson, Heather
Higa, Diane
Lee, Lik Hang
Naugler, Christopher
Performance of the CellaVision(®) DM96 system for detecting red blood cell morphologic abnormalities
title Performance of the CellaVision(®) DM96 system for detecting red blood cell morphologic abnormalities
title_full Performance of the CellaVision(®) DM96 system for detecting red blood cell morphologic abnormalities
title_fullStr Performance of the CellaVision(®) DM96 system for detecting red blood cell morphologic abnormalities
title_full_unstemmed Performance of the CellaVision(®) DM96 system for detecting red blood cell morphologic abnormalities
title_short Performance of the CellaVision(®) DM96 system for detecting red blood cell morphologic abnormalities
title_sort performance of the cellavision(®) dm96 system for detecting red blood cell morphologic abnormalities
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4355826/
https://www.ncbi.nlm.nih.gov/pubmed/25774322
http://dx.doi.org/10.4103/2153-3539.151922
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