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Book review: Review of "Digital image forensics: There is more to a picture than meets the eye" by Husrev Taha Sencar and Nasir Memon (Editors) |
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Bruce Levy J Pathol Inform 2013, 4:17 (29 June 2013) |
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Original Article: Platelet count estimation using the CellaVision DM96 system |
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Yuon Gao, Adnan Mansoor, Brenda Wood, Heather Nelson, Diane Higa, Christopher Naugler J Pathol Inform 2013, 4:16 (29 June 2013) DOI:10.4103/2153-3539.114207 PMID:23858391Introduction: Rapid and accurate determination of platelet count is an important factor in diagnostic medicine. Traditional microscopic methods are labor intensive with variable results and are highly dependent on the individual training. Recent developments in automated peripheral blood differentials using a computerized system have shown many advantages as a viable alternative. The purpose of this paper was to determine the reliability and accuracy of the CellaVision DM 96 system with regards to platelet counts. Materials and Methods: One hundred twenty seven peripheral blood smears were analyzed for platelet count by manual microscopy, an automated hematology analyzer (Beckman Counter LH 780 or Unicel DXH 800 analyzers) and with the CellaVision DM96 system. Results were compared using the correlations and Bland-Altman plots. Results: Platelet counts from the DM96 system showed an R 2 of 0.94 when compared to manual platelet estimates and an R 2 of 0.92 when compared to the automated hematology analyzer results. Bland-Altman plots did not show any systematic bias. |
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Review Article: Going fully digital: Perspective of a Dutch academic pathology lab |
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Nikolas Stathonikos, Mitko Veta, André Huisman, Paul J van Diest J Pathol Inform 2013, 4:15 (29 June 2013) DOI:10.4103/2153-3539.114206 PMID:23858390During the last years, whole slide imaging has become more affordable and widely accepted in pathology labs. Digital slides are increasingly being used for digital archiving of routinely produced clinical slides, remote consultation and tumor boards, and quantitative image analysis for research purposes and in education. However, the implementation of a fully digital Pathology Department requires an in depth look into the suitability of digital slides for routine clinical use (the image quality of the produced digital slides and the factors that affect it) and the required infrastructure to support such use (the storage requirements and integration with lab management and hospital information systems). Optimization of digital pathology workflow requires communication between several systems, which can be facilitated by the use of open standards for digital slide storage and scanner management. Consideration of these aspects along with appropriate validation of the use of digital slides for routine pathology can pave the way for pathology departments to go "fully digital." In this paper, we summarize our experiences so far in the process of implementing a fully digital workflow at our Pathology Department and the steps that are needed to complete this process. |
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Research Article: Performance of CellaVision DM96 in leukocyte classification |
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Lik Hang Lee, Adnan Mansoor, Brenda Wood, Heather Nelson, Diane Higa, Christopher Naugler J Pathol Inform 2013, 4:14 (29 June 2013) DOI:10.4103/2153-3539.114205 PMID:23858389Background: 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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Editorial: The (not yet) willingly adopted tool |
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Lewis A Hassell, Eric Glassy J Pathol Inform 2013, 4:13 (29 June 2013) DOI:10.4103/2153-3539.114204 PMID:23858388 |
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