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DI-60型全自动数字化细胞形态识别分析系统的临床应用 被引量:10
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作者 曾素根 毛志刚 +6 位作者 朱新勤 郭曼英 庄利芳 韩秀华 左永太 李倚 江虹 《检验医学》 CAS 2018年第1期63-66,共4页
目的评估DI-60型全自动数字化细胞形态识别分析系统(简称DI-60系统)对外周血细胞的认知和分辨能力。方法对随机选取的322份血液标本采用SYSMEX XN-9000全自动血液细胞分析流水线检测后用SP-10自动涂片染色仪进行自动推片、染色,然后使用... 目的评估DI-60型全自动数字化细胞形态识别分析系统(简称DI-60系统)对外周血细胞的认知和分辨能力。方法对随机选取的322份血液标本采用SYSMEX XN-9000全自动血液细胞分析流水线检测后用SP-10自动涂片染色仪进行自动推片、染色,然后使用DI-60系统对已经染色好的血涂片进行血细胞预分析识别,再由有丰富形态学经验的主管技师对预分类的细胞进行复核。结果 DI-60系统对322份血液标本进行白细胞(WBC)预分类,共扫描记录了56 728个细胞及杂质,正确数为51 704个,正确率为91.14%,错误数为5 024,错误率为8.86%。结论 DI-60系统只能对WBC进行预分类,识别WBC分叶中性粒细胞、嗜酸粒细胞、淋巴细胞、单核细胞、大血小板、血小板聚集、涂抹细胞及人造细胞(杂质)等的正确率较高,均在95%以上,而对变异淋巴细胞、浆细胞等的识别正确率低,均在5%以下。 展开更多
关键词 全自动数字化细胞识别系统 细胞 分类
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数字化细胞
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作者 Erica Klarreich 徐金会 朱天慧 《世界科学》 2003年第7期18-19,共2页
通过含有特殊程序的细胞在人的血管中监测血糖浓度、关注胆固醇的积累等,这些设想虽还处于科幻阶段,但将计算机程序移植入生物体内的日子或许并不会太遥远。
关键词 细胞机器人 数字化细胞 遗传电路 细胞逻辑门 反相器 计算机程序
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Combined use of fine needle aspiration cytology and full field digital mammography in preoperative assessment of breast masses
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作者 Yanan Zhang Junsheng Li Zhenling Ji Wenhao Tang 《The Chinese-German Journal of Clinical Oncology》 CAS 2008年第8期473-476,共4页
Objective: To evaluate the accuracy of these two methods and focus on the analysis and management of the false-negative cases. Methods: Results of full field digital mammography (FFDM) and fine needle aspiration cytol... Objective: To evaluate the accuracy of these two methods and focus on the analysis and management of the false-negative cases. Methods: Results of full field digital mammography (FFDM) and fine needle aspiration cytology (FNAC) were obtained and analyzed from a consecutive of 102 women with palpable breast masses, results were correlated with the histopathological findings. Results: Of the 102 cases, malignancy was confirmed in 43 cases (42.16%) by final pathological examination, the sensitivity and specificity of cancer detection with FNA cytology was 90.7% (39/43) and 89.8% (53/59), re- spectively, the whole accuracy was 90.2% (92/102), with a positive predictive value of 86.7% (39/45) and a negative predictive value of 93.0% (53/57). FFDM gave a sensitivity of 88.4% (38/43), specificity of 83.1% (49/59), and whole accuracy 85.3% (87/102), the positive predictive value and negative predictive value was 79.2% (38/48) and 90.7% (49/54), respectively. All the FNAC-negative cancer cases were suggestive of malignancy by FFDM findings, however, the benign cases which present as equivocal finding by FNA cytology, could not be ruled out the presence of malignancy. Conclusion: FNAC and FFDM both are accurate, effective and economical diagnostic modalities, combined use of these two methods can reduced the misdiag- nosis rate of breast masses. 展开更多
关键词 breast carcinoma digital mammography fine needle aspiration cytology (FNAC)
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