Performance of CellaVision DM96 in leukocyte classification
Background: Leukocyte differentials are an important component of clinical care. Morphologic assessment of peripheral blood smears (PBS) may be required to accurately classify leukocytes. However, manual microscopy is labor intensive. The CellaVision DM96 is an automated system that acquires digital...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2013-01-01
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| Series: | Journal of Pathology Informatics |
| Subjects: | |
| Online Access: | http://www.jpathinformatics.org/article.asp?issn=2153-3539;year=2013;volume=4;issue=1;spage=14;epage=14;aulast=Lee |
| _version_ | 1818232606330716160 |
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| author | Lik Hang Lee Adnan Mansoor Brenda Wood Heather Nelson Diane Higa Christopher Naugler |
| author_facet | Lik Hang Lee Adnan Mansoor Brenda Wood Heather Nelson Diane Higa Christopher Naugler |
| author_sort | Lik Hang Lee |
| collection | DOAJ |
| description | Background: Leukocyte differentials are an important component of clinical care. Morphologic assessment of peripheral blood smears (PBS) may be required to accurately classify leukocytes. However, manual microscopy is labor intensive. The CellaVision DM96 is an automated system that acquires digital images of leukocytes on PBS, pre-classifies the cell type, and displays them on screen for a Technologist or Pathologist to approve or reclassify. Our study compares the results of the DM96 with manual microscopy. Methods: Three hundred and fifty-nine PBS were selected and assessed by manual microscopy with a 200 leukocyte cell count. They were then reassessed using the CellaVision DM96 with a 115 leukocyte cell count including reclassification when necessary. Correlation between the manual microscopy results and the CellaVision DM96 results was calculated for each cell type. Results: The correlation coefficients (r2 ) range from a high of 0.99 for blasts to a low of 0.72 for metamyelocytes. Conclusions: The correlation between the CellaVision DM96 and manual microscopy was as good or better than the previously published data. The accuracy of leukocyte classification depended on the cell type, and in general, there was lower correlation for rare cell types. However, the correlation is similar to previous studies on the correlation of manual microscopy with an established reference result. Therefore, the CellaVision DM96 is appropriate for clinical implementation. |
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| format | Article |
| id | doaj.art-ee3aeab6a10a410eb36d535be93a43c6 |
| institution | Directory Open Access Journal |
| issn | 2153-3539 2153-3539 |
| language | English |
| last_indexed | 2024-12-12T11:08:57Z |
| publishDate | 2013-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Journal of Pathology Informatics |
| spelling | doaj.art-ee3aeab6a10a410eb36d535be93a43c62022-12-22T00:26:21ZengElsevierJournal of Pathology Informatics2153-35392153-35392013-01-0141141410.4103/2153-3539.114205Performance of CellaVision DM96 in leukocyte classificationLik Hang LeeAdnan MansoorBrenda WoodHeather NelsonDiane HigaChristopher NauglerBackground: Leukocyte differentials are an important component of clinical care. Morphologic assessment of peripheral blood smears (PBS) may be required to accurately classify leukocytes. However, manual microscopy is labor intensive. The CellaVision DM96 is an automated system that acquires digital images of leukocytes on PBS, pre-classifies the cell type, and displays them on screen for a Technologist or Pathologist to approve or reclassify. Our study compares the results of the DM96 with manual microscopy. Methods: Three hundred and fifty-nine PBS were selected and assessed by manual microscopy with a 200 leukocyte cell count. They were then reassessed using the CellaVision DM96 with a 115 leukocyte cell count including reclassification when necessary. Correlation between the manual microscopy results and the CellaVision DM96 results was calculated for each cell type. Results: The correlation coefficients (r2 ) range from a high of 0.99 for blasts to a low of 0.72 for metamyelocytes. Conclusions: The correlation between the CellaVision DM96 and manual microscopy was as good or better than the previously published data. The accuracy of leukocyte classification depended on the cell type, and in general, there was lower correlation for rare cell types. However, the correlation is similar to previous studies on the correlation of manual microscopy with an established reference result. Therefore, the CellaVision DM96 is appropriate for clinical implementation.http://www.jpathinformatics.org/article.asp?issn=2153-3539;year=2013;volume=4;issue=1;spage=14;epage=14;aulast=LeeDigital pathologyhematopathologyperipheral blood smear |
| spellingShingle | Lik Hang Lee Adnan Mansoor Brenda Wood Heather Nelson Diane Higa Christopher Naugler Performance of CellaVision DM96 in leukocyte classification Journal of Pathology Informatics Digital pathology hematopathology peripheral blood smear |
| title | Performance of CellaVision DM96 in leukocyte classification |
| title_full | Performance of CellaVision DM96 in leukocyte classification |
| title_fullStr | Performance of CellaVision DM96 in leukocyte classification |
| title_full_unstemmed | Performance of CellaVision DM96 in leukocyte classification |
| title_short | Performance of CellaVision DM96 in leukocyte classification |
| title_sort | performance of cellavision dm96 in leukocyte classification |
| topic | Digital pathology hematopathology peripheral blood smear |
| url | http://www.jpathinformatics.org/article.asp?issn=2153-3539;year=2013;volume=4;issue=1;spage=14;epage=14;aulast=Lee |
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