Literature DB >> 23286314

Automated digital cell morphology identification system (CellaVision DM96) is very useful for leukocyte differentials in specimens with qualitative or quantitative abnormalities.

S H Park1, C-J Park, M-O Choi, M-J Kim, Y-U Cho, S Jang, H-S Chi.   

Abstract

INTRODUCTION: The CellaVision DM96 system (CellaVision AB, Lund, Sweden) was developed as one of the automated digital cell morphology analyzer for determining leukocyte differential counts in peripheral blood smears (PBS) and we evaluated this system.
METHODS: A total of 308 PB samples with abnormalities were analyzed in this study. For each sample, manual differential counts were performed by two independent technologists, and the CellaVision DM96 system was applied in duplicate. Correlations between the two methods and ability of this system to identify six abnormalities were assessed.
RESULTS: The correlation coefficients between two methods were consistently high, ranged from 0.864 to 0.992. The sensitivity, specificity, positive predictive value, negative predictive values of this system for the identification of abnormalities were consistently high, especially for blasts (98.2%, 99.2%, 96.6%, 99.6%). When the instrument was ordered to count 300 or 500 cells from the operator, better performance was demonstrated than 100 cells in the leukopenic samples by sacrificing only 40 s/slide in average.
CONCLUSIONS: The CellaVision DM96 system is useful in the clinical laboratory providing comparative accuracy compared with manual counts in samples with abnormalities. In leukopenic samples, report quality can be improved by ordering to count 300 or 500 cells from the operator without severe prolongation of turnaround time.
© 2013 John Wiley & Sons Ltd.

Entities:  

Keywords:  Abnormalities; automated digital cell morphology identification system; automatic hematology analyzer; leukocyte differentials; leukopenia

Mesh:

Year:  2013        PMID: 23286314     DOI: 10.1111/ijlh.12044

Source DB:  PubMed          Journal:  Int J Lab Hematol        ISSN: 1751-5521            Impact factor:   2.877


  4 in total

Review 1.  "Blasts" in myeloid neoplasms - how do we define blasts and how do we incorporate them into diagnostic schema moving forward?

Authors:  Xueyan Chen; Jonathan R Fromm; Kikkeri N Naresh
Journal:  Leukemia       Date:  2022-01-19       Impact factor: 11.528

2.  Evaluation of the accuracy of the CellaVision™ DM96 in a high HIV-prevalence population in South Africa.

Authors:  Jenifer L Vaughan; Sakina Loonat; Nazeer Alli
Journal:  Afr J Lab Med       Date:  2016-03-09

3.  Digital Morphology Analyzer Sysmex DI-60 vs. Manual Counting for White Blood Cell Differentials in Leukopenic Samples: A Comparative Assessment of Risk and Turnaround Time.

Authors:  Minjeong Nam; Sumi Yoon; Mina Hur; Gun Hyuk Lee; Hanah Kim; Mikyoung Park; Hyeong Nyeon Kim
Journal:  Ann Lab Med       Date:  2022-07-01       Impact factor: 4.941

4.  Accuracy of the CellaVision DM96 platform for reticulocyte counting.

Authors:  Etienne R Mahe; Diane Higa; Christopher Naugler; Adnan Mansoor; Meer-Taher Shabani-Rad
Journal:  J Pathol Inform       Date:  2014-05-26
  4 in total

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