Maenou Imiko, Tabe Yoko, Bengtsson Hans-Inge, Ishii Kiyoshi, Miyake Kazunori, Horiuchi Yuki, Idei Mayumi, Horii Takashi, Satoh Naotake, Miida Takashi, Ohsaka Akimichi
Division of Clinical Laboratory, Juntendo University Hospital, Bunkyo-ku, Tokyo, Japan.
Department of Clinical Laboratory Medicine, Juntendo University School of Medicine, Bunkyo-ku, Tokyo, Japan.
Clin Lab. 2013;59(11-12):1413-7. doi: 10.7754/clin.lab.2013.120912.
Automated digital morphology systems are utilized for blood cell morphological examination. The aim of this study is to evaluate the accuracy and efficacy of RBC morphological anomaly screening using the CellaVision DM96 (DM96) automated image analysis system.
The automated analysis of RBC shape, size, and chromasia abnormalities was conducted on the DM96 using 478 blood samples. A manual microscopic review was independently performed.
The DM96 preclassified samples as poikilocytosis-positive for 98% of cases with schistocytosis or echinocytosis, 97% of elliptocytosis, and 92% or 65% of cases that were positive for teardrop cells or for target cells, respectively. The accuracy of the DM96 in the detection of RBC size and chromasia abnormalities of iron deficiency anemia cases was higher than direct microscopic observation.
Automated morphological analysis with the DM96 has potential utility in the morphological screening of RBC anomalies that are associated with disease.
自动数字形态学系统用于血细胞形态学检查。本研究旨在评估使用CellaVision DM96（DM96）自动图像分析系统进行红细胞形态异常筛查的准确性和有效性。
使用478份血液样本在DM96上对红细胞的形状、大小和染色异常进行自动分析。同时独立进行手工显微镜检查。
DM96对98%的裂红细胞症或棘红细胞症病例、97%的椭圆形红细胞症病例以及分别对92%或65%的泪滴状红细胞或靶形红细胞阳性病例预分类为异形红细胞症阳性。DM96检测缺铁性贫血病例红细胞大小和染色异常的准确性高于直接显微镜观察。
使用DM96进行自动形态分析在与疾病相关的红细胞异常形态筛查中具有潜在应用价值。
