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

作者：Park S H; Park C J^*; Choi M O; Kim M J; Cho Y U; Jang S; Chi H S

来源：International Journal of Laboratory Hematology, 2013, 35(5): 517-527.

DOI：10.1111/ijlh.12044

• Abnormalities
• automated digital cell morphology identification system
• automatic hematology analyzer
• leukocyte differentials
• leukopenia

IntroductionThe 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. %26lt;br%26gt;MethodsA 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. %26lt;br%26gt;ResultsThe 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 40s/slide in average. %26lt;br%26gt;ConclusionsThe 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.

• 出版日期2013-10