CellaVision DM96自动化数字图像分析系统进行白细胞分类的临床应用  

Clinical application of white blood cell differentiation of CellaVision DM96 system

作　　者：黄骥斌[1] 曾婷婷[1] 郭曼英[1] 韩秀华[1] 江虹[1] 

机构地区：[1]四川大学华西医院实验医学科,四川成都610041

出　　处：《检验医学》2012年第4期299-303,共5页Laboratory Medicine

摘　　要：目的对CellaVision DM96自动化数字图像分析系统(简称DM96)的临床性能进行验证及评价。方法选取422例外周血样本经自动涂片染色后,采用DM96进行白细胞分类,运用线性回归方法分析仪器结果与人工镜检结果的相关性;计算基于自带参考细胞库和扩充的参考细胞库DM96分析软件预分析识别细胞符合率;计算检出率,分析采集110、210、310、410个细胞时仪器识别具有重要临床意义细胞的能力;统计仪器分类与人工镜检所花费的时间。结果经过线性回归分析,中性粒细胞和淋巴细胞的仪器分析结果与人工镜检结果相关系数较大(0.91和0.88),而单核细胞的相关系数较小(0.31);DM96分析软件预分析识别早、中、晚幼粒细胞、原始细胞和变异淋巴细胞的符合率从基于自带参考细胞库的27.56%、37.96%、41.85%、45.12%、29.76%提高到基于扩充参考细胞库的33.23%、56.86%、48.33%、58.08%、31.25%;分析110、210、310、410个细胞中具有重要临床意义细胞检出率分别为87.50%、92.65%、94.85%、97.59%;人工镜检花费(2.50±0.41)min/例,而仪器分析花费(1.98±0.20)min/例,人工审查确认预分析结果花费(0.91±0.14)min/例;使用初始参考细胞库和扩充参考细胞库分析所需时间分别为(2.01±0.39)和(2.09±0.54)min/例,而随着系统分析细胞数量增多分析所花费的时间显著延长。结论 DM96对白细胞分类的自动化和标准化具有较好的临床应用价值。Objective To verify and evaluate the performance of CellaVision DM96 system（DM96）.Methods A total of 422 peripheral blood samples were collected and prepared by automated smear and stain system,and then analyzed by DM96 white blood cell differentiation.The results of white blood cell differentiation by DM96 were compared with those by manual microscopy.The correlation of the results by DM96 and manual microscopy was analyzed by linear regression analysis.The coincidence rate of identifying cells based on original and enlarged reference cell libraries was calculated.The ability to identify important abnormalities through analyzing 110,210,310 and 410 cells and the time cost were calculated.Results The correlation coefficients of neutrophils and lymphocytes were 0.91 and 0.88 between DM96 and manual microscopy respectively,while the correlation coefficient of monocytes was only 0.31.DM96 agreed 27.56%,37.96%,41.85%,45.12% and 29.76% for pre-differentiation of promyelocytes,myelocytes,metamyelocytes,blast cells and variation lymphocytes based on original reference cell library,and 33.23%,56.86%,48.33%,58.08% and 31.25% based on enlarged reference cell library.The ratios of identifying important abnormalities were 87.50%,92.65%,94.85% and 97.59% when analyzing 110,210,310 and 410 cells.It took（2.50±0.41） min per case by manual microscopy,（1.98±0.20） min per case by DM96 and（0.91±0.14） min per case by manual confirming.Time costs of analyzing based on original and enlarged reference cell libraries were（2.01±0.39） and（2.09±0.54） min per case.With the numbers of analyzed cells increasing,time costs increased simultaneously.Conclusions The clinical application of DM96 could improve the automatization and standardization of white blood cell differentiation.

关 键 词：外周血细胞分析 分类 实验室自动化 性能评价 

分 类 号：R446.113[医药卫生—诊断学]