{"title":"CellaVision®DM-1200系统用于检测和定量血吸虫细胞的评估","authors":"Sami Zouitina, Frédérique Dubois-Galopin","doi":"10.1684/abc.2024.1921","DOIUrl":null,"url":null,"abstract":"<p><p>Detection of schistocytes is an important first step in the differential diagnosis of thrombotic microangiopathy. It is however labor intensive and prone to subjectivity. To improve and standardize the detection and quantification of schistocytes, we studied its automated analysis by digital microscopy DM1200 (CellaVision®) on 63 positive and 102 negative smears obtained from SP-50 (Sysmex®). Easy to use and very useful for staff training, it showed a lower between-observer coefficient of variation than usually described for manual counting (25% vs. 50%). Very sensitive (100%) in pre-classification, the detection of schistocytes was highly sensitive (98.4%) and specific (96.8%) after reclassification (AUCROC = 0.9929), showing a good correlation with manual microscopy. TAT was comparable to manual counting. For positive smears, the percentage of schistocytes was similar between pre- and post-classification. However, 29.6% of pre-classified schistocytes were removed and 21.8% were added. For negative smears a significative overestimation of schistocytes (292%) was observed. Except poikilocytosis, on negative smears, the most common error of the software (24.9%) was due to platelets classified in schistocytes. Were also observed for example erroneous divisions of the image (3.2%) or artifactual schistocytes resulting from scratches in the smear (2.6%). Another limit is the high number of red blood cells not analyzed (46.8% for high-density smears), which might false the schistocytes percentage. To conclude, CellaVision® technology showed many benefits, but also limits that the operator needs to know.</p>","PeriodicalId":93870,"journal":{"name":"Annales de biologie clinique","volume":"82 5","pages":"579-588"},"PeriodicalIF":0.0000,"publicationDate":"2024-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"[Evaluation of the CellaVision® DM-1200 system for detecting and quantifying schistocytes].\",\"authors\":\"Sami Zouitina, Frédérique Dubois-Galopin\",\"doi\":\"10.1684/abc.2024.1921\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Detection of schistocytes is an important first step in the differential diagnosis of thrombotic microangiopathy. It is however labor intensive and prone to subjectivity. To improve and standardize the detection and quantification of schistocytes, we studied its automated analysis by digital microscopy DM1200 (CellaVision®) on 63 positive and 102 negative smears obtained from SP-50 (Sysmex®). Easy to use and very useful for staff training, it showed a lower between-observer coefficient of variation than usually described for manual counting (25% vs. 50%). Very sensitive (100%) in pre-classification, the detection of schistocytes was highly sensitive (98.4%) and specific (96.8%) after reclassification (AUCROC = 0.9929), showing a good correlation with manual microscopy. TAT was comparable to manual counting. For positive smears, the percentage of schistocytes was similar between pre- and post-classification. However, 29.6% of pre-classified schistocytes were removed and 21.8% were added. For negative smears a significative overestimation of schistocytes (292%) was observed. Except poikilocytosis, on negative smears, the most common error of the software (24.9%) was due to platelets classified in schistocytes. Were also observed for example erroneous divisions of the image (3.2%) or artifactual schistocytes resulting from scratches in the smear (2.6%). Another limit is the high number of red blood cells not analyzed (46.8% for high-density smears), which might false the schistocytes percentage. To conclude, CellaVision® technology showed many benefits, but also limits that the operator needs to know.</p>\",\"PeriodicalId\":93870,\"journal\":{\"name\":\"Annales de biologie clinique\",\"volume\":\"82 5\",\"pages\":\"579-588\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-11-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Annales de biologie clinique\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1684/abc.2024.1921\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annales de biologie clinique","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1684/abc.2024.1921","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
检测裂细胞是鉴别诊断血栓性微血管病的重要第一步。然而,它是劳动密集型的,容易产生主观性。为了提高和规范对分裂细胞的检测和定量,我们研究了DM1200 (CellaVision®)对SP-50 (Sysmex®)获得的63份阳性和102份阴性染色的自动分析。易于使用,对员工培训非常有用,它显示出比通常描述的人工计数更低的观察者间变异系数(25% vs 50%)。预分类时非常敏感(100%),重分类后对血吸虫细胞的检测高度敏感(98.4%),特异性(96.8%)(AUCROC = 0.9929),与人工镜检具有良好的相关性。TAT与人工计数相当。对于阳性涂片,分级前和分级后的血吸虫细胞百分比相似。然而,29.6%的预分类血吸虫细胞被去除,21.8%的预分类血吸虫细胞被添加。对于阴性涂片,观察到明显高估了血吸虫细胞(292%)。在阴性涂片上,除异胞增多症外,软件最常见的错误(24.9%)是由于血小板在血吸虫细胞中的分类。也观察到例如图像分裂错误(3.2%)或涂片划痕引起的人造血吸虫细胞(2.6%)。另一个限制是大量红细胞未被分析(高密度涂片为46.8%),这可能会使血吸虫细胞百分比错误。综上所述,CellaVision®技术显示了许多优点,但也有操作员需要了解的限制。
[Evaluation of the CellaVision® DM-1200 system for detecting and quantifying schistocytes].
Detection of schistocytes is an important first step in the differential diagnosis of thrombotic microangiopathy. It is however labor intensive and prone to subjectivity. To improve and standardize the detection and quantification of schistocytes, we studied its automated analysis by digital microscopy DM1200 (CellaVision®) on 63 positive and 102 negative smears obtained from SP-50 (Sysmex®). Easy to use and very useful for staff training, it showed a lower between-observer coefficient of variation than usually described for manual counting (25% vs. 50%). Very sensitive (100%) in pre-classification, the detection of schistocytes was highly sensitive (98.4%) and specific (96.8%) after reclassification (AUCROC = 0.9929), showing a good correlation with manual microscopy. TAT was comparable to manual counting. For positive smears, the percentage of schistocytes was similar between pre- and post-classification. However, 29.6% of pre-classified schistocytes were removed and 21.8% were added. For negative smears a significative overestimation of schistocytes (292%) was observed. Except poikilocytosis, on negative smears, the most common error of the software (24.9%) was due to platelets classified in schistocytes. Were also observed for example erroneous divisions of the image (3.2%) or artifactual schistocytes resulting from scratches in the smear (2.6%). Another limit is the high number of red blood cells not analyzed (46.8% for high-density smears), which might false the schistocytes percentage. To conclude, CellaVision® technology showed many benefits, but also limits that the operator needs to know.