ABSTRACT
Objective To compare the detecting results of rotavirus (RV)and adenovirus (AdV)antigens using auto stool pretreatment system (machine method)and manual method.Methods A total of 100 stools collectecd from diarrear patients admitted in gastroenterology outpatient department from September 2014 to Octorber 2014 in Peking University Medical College Hospital were detected to identify RV and AdV antigens using machine method and manual method respectively,and the nucletic acids of positive samples were detected by liquid chip method to verify the results.Results The RV,AdV and co-infection antigen positive detection rate using machine method were 17.0% (17/100),25.0% (25/100)and 12.0% (12/100)respectively,whereas those using the manual method were 4.0% (4/100),13.0% (13/100)and 2.0% (2/100),re-spectively.Taking the nucletic acids detection as the golden method,the false positive detection rate of RV,AdV and co-in-fection antigen using machine method were 23.5% (4/17),20.0% (5/25)and 33.3% (4/12)respectively,whereas those u-sing the manual method were 75.0% (3/4),69.2% (9/13)and 50.0% (1/2),respectively.χ2 test for paired data for RV and AdV positive detection rate,false positive detection rate of RV and false positive detection rate of AdV using two meth-ods were statistically significant (χ2 =15.0,52.8 and 47.5,P values <0.05).Two methods for detecting RV and AdV had poor consistency (Kappa value was 0.25,Kappa values <0.4).Conclusion Machine method has much more advantage on RV and AdV positive detection rate and false positive detection rate than manual method,which is good for clinical applica-tion.
ABSTRACT
Objective To evaluate the clinical performance of an automated image analysis systems named CellaVision DM96 in classifying White Blood Cells.Methods A total of 2267 peripheral blood samples (male 1 235, female 1 034, average age 46) were obtained from outpatient and inpatient in Peking Union Medical College Hospital ( PUMCH ) . These samples were selected to evaluate the precision, sensitivity, specificity and the analytical error of the system.We first evaluated the coincidence rate of reclassification and manual microscopy.On the base of favourable coincidence rate, we then evaluated the correlations between the pre-classification and reclassification of segmented neutrophil, band neutrophil, lymphocyte, monocyte, eosinophile, basophile, blast cell, promyelocyte, myelocyte, metamyelocyte, plasma cell and reactive lymphocyte.Results The sensitivity and specificity of pre-classification of White Blood Cell were 46% -100% and 24%-92%, respectively.When studied on the cell level, the total coincidence rate of pre-classification was 88%.And the coincidence rates of pre-classification and reclassification of White Blood Cell were 6%-95% and 25%-100%, respectively.When assessed on the sample level, the coincidence rates of pre-classification and reclassification of leukocytes were 64%-98%and 84%-100%, respectively.The correlations of pre-classification and reclassification of leukocytes in order from high to low were: lymphocyte, segmented neutrophil, eosinophile, band neutrophil, monocyte, basophile, when r were 0.943 9, 0.915 2, 0.785 4, 0.775 6, 0.676 2 and 0.289 1, respectively.The correlations between reclassification and manual microscopy of White Blood Cell were higher than those between pre-classification and manual microscopy.Order from high to low was: eosinophile, segmented neutrophil, lymphocyte, monocyte, band neutrophil, basophile.And r were 0.972 1, 0.968 5, 0.957 0, 0.831 9, 0.800 6 and 0.648 7, respectively.The ability of this automated image analysis systems at pre-classification in distinguishing between band cell and segment cell, atypical lymphocyte and normal lymphocyte was not good. Conclusion The performance of reclassification was better than pre-classification.The reclassification can be substitute for the microscopy inspection, and be used in the Clinical practice.
