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...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2015-01-01
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| Series: | Journal of Pathology Informatics |
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| Online Access: | http://www.jpathinformatics.org/article.asp?issn=2153-3539;year=2015;volume=6;issue=1;spage=11;epage=11;aulast=Horn |
| _version_ | 1818230302050353152 |
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| author | Christopher L Horn Adnan Mansoor Brenda Wood Heather Nelson Diane Higa Lik Hang Lee Christopher Naugler |
| author_facet | Christopher L Horn Adnan Mansoor Brenda Wood Heather Nelson Diane Higa Lik Hang Lee Christopher Naugler |
| author_sort | Christopher L Horn |
| collection | DOAJ |
| 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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| format | Article |
| id | doaj.art-21e75923b380488fa338daf6d2c7cbfe |
| institution | Directory Open Access Journal |
| issn | 2153-3539 |
| language | English |
| last_indexed | 2024-12-12T10:32:20Z |
| publishDate | 2015-01-01 |
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| record_format | Article |
| series | Journal of Pathology Informatics |
| spelling | doaj.art-21e75923b380488fa338daf6d2c7cbfe2022-12-22T00:27:19ZengElsevierJournal of Pathology Informatics2153-35392015-01-0161111110.4103/2153-3539.151922Performance of the CellaVision ® DM96 system for detecting red blood cell morphologic abnormalitiesChristopher L HornAdnan MansoorBrenda WoodHeather NelsonDiane HigaLik Hang LeeChristopher NauglerBackground: 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.http://www.jpathinformatics.org/article.asp?issn=2153-3539;year=2015;volume=6;issue=1;spage=11;epage=11;aulast=HornImage analysis, method validation, peripheral blood smears |
| spellingShingle | Christopher L Horn Adnan Mansoor Brenda Wood Heather Nelson Diane Higa Lik Hang Lee Christopher Naugler Performance of the CellaVision ® DM96 system for detecting red blood cell morphologic abnormalities Journal of Pathology Informatics Image analysis, method validation, peripheral blood smears |
| 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 r dm96 system for detecting red blood cell morphologic abnormalities |
| topic | Image analysis, method validation, peripheral blood smears |
| url | http://www.jpathinformatics.org/article.asp?issn=2153-3539;year=2015;volume=6;issue=1;spage=11;epage=11;aulast=Horn |
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