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作 者:李成之 LI Chengzhi(Department of Pathology,Taishan People’s Hospital,Taishan Guangdong 529200,China)
出 处:《中国卫生标准管理》2022年第9期63-65,共3页China Health Standard Management
摘 要:目的观察肺癌病理大切片技术的应用和临床价值分析。方法临床选择2019年5月—2020年2月在医院接受诊治的非小细胞肺癌患者80例的组织标本,制成病理组织大切片,予以HE染色,染色后予以血清神经元特异性烯醇化酶(neuron specific enolase,NSE)、突触素(synaptophysin,Syn)、嗜铬素A(chromogranin A,CgA)等免疫标志物检测,根据其检测结果分析病理切片诊断,分析非小细胞肺癌的病理大切片诊断结果。结果非小细胞肺癌患者80例中,腺鳞癌14例(17.5%),鳞癌17例(21.3%),腺癌49例(61.3%),其中多种组织类型者37例(46.3%),单一组织类型表现者43例(53.8%);其中腺癌标本的NSE阳性、CgA阳性、Syn阳性指标显著高于腺鳞癌、鳞癌,差异有统计学意义(P<0.05);非小细胞肺癌病理切片神经元特异性烯醇化酶(NSE)、突触素(Syn)、嗜铬素A(CgA)诊断符合率与病理结果比较,差异无统计学意义(P>0.05)。结论对非小细胞肺癌患者进行病理组织大切片检查,可对肿瘤组织的状态进行全面监测,分析肿瘤细胞的异质性有助于为后续治疗及病理诊断提供准确的依据。Objective To analyze the clinical application and value of pathological big sections in lung cancer tissues.Methods A total of 80 tissue specimens from non-small cell lung cancer patients(May 2019 to February 2020)were collected to make the pathological big sections.After HE staining,the immunological markers like neuron specific enolase(NSE),synaptophysin(Syn)and chromogranin A(CgA)were measured and analyzed.According to the detection results,the pathological section diagnosis was analyzed,and the pathological large section diagnosis results of non-small cell lung cancer were analyzed.Results Among 80 non-small cell lung cancer patients,there were 14 adenosquamous carcinoma cases(17.5%),17 squamous cell carcinoma cases(21.3%)and 49 adenomatous carcinoma cases(61.3%).37 cases had multiple tissue types(46.3%)and 43 cases with single tissue type(53.8%).Positive rates of NSE,CgA and Syn in adenomatous carcinoma patients were significantly higher than adenosquamous carcinoma and squamous cell carcinoma patients,the difference was statistically significant(P<0.05).The diagnostic coincidence rates of neuron specific enolase(NSE),synaptophysin(Syn)and chromogranin A(CgA)in pathological sections of non-small cell lung cancer had no significant difference compared with pathological results(P>0.05).Conclusion Large biopsy of pathological tissue in patients with nonsmall cell lung cancer can comprehensively monitor the state of tumor tissue and analyze the heterogeneity of tumor cells to provide an accurate basis for subsequent treatment and pathological diagnosis.
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