HPV分型检测与TCT检测在宫颈病变筛查中的对比分析  被引量:2

Comparative analysis of HPV typing and TCT in cervical lesion screening

在线阅读下载全文

作  者:杨慧红 杨永彬[2] 王小云 姚华惠 Yang Huihong;Yang Yongbin;Wang Xiaoyun;Yao Huahui(Yong feng Community Health Service Center,Song jiang District,Shanghai 201600;Shanghai First People’s Hospital,Shanghai 201600;Shanghai Song Jiang Community Health Service Center,Shanghai 201600)

机构地区:[1]上海市松江区永丰社区卫生服务中心,上海201600 [2]上海市第一人民医院,上海201600 [3]上海市松江区新浜卫生服务中心,上海201600

出  处:《中外女性健康研究》2019年第21期1-2,44,共3页Women's Health Research

摘  要:目的:探讨HPV分型检测与TCT检测在宫颈病变中的筛查价值。方法:选取HPV分型阳性患者和/或TCT阳性患者共1927例,均进行阴道镜及宫颈活检术。以宫颈活检结果即病理组织学检查为金标准,回顾性分HPV分型检测与TCT检测在宫颈病变筛查中的应用效果。结果:HPV分型检测的灵敏度为85.25%(185/217),漏诊率为14.75%(32/217),而TCT检测的灵敏度为76.96%,漏诊率为23.04%(50/217),两组灵敏度比较差异有统计学意义(χ^2=4.87,P<0.05),两组漏诊率比较差异有统计学意义(χ^2=4.87,P<0.05)。结论:HPV分型检测较TCT检测有更好的灵敏度,且漏诊率低,有望成为宫颈癌筛查的主要手段。Objective:To investigate the screening value of HPV classification and TCT in cervical lesions.Methods:1927 patients of HPV positive and/or TCT positive were selected to test.Retrospective results of HPV classification test and TCT test in screening cervical lesions were obtained by using the results of cervical biopsy,namely pathological histology test,as gold standard.Results:The sensitivity of HPV was 85.25%(185/217),the rate of missed diagnosis was 14.75%(32/217),while the sensitivity of TCT was 76.96%and the rate of missed diagnosis was 23.04%(50/217).The difference in sensitivity between the two groups has statistically significantce(χ^2 value was 4.87,P<0.05)The difference in the rate of missed diagnosis between the two groups has statistically significance(χ^2 value was 4.87,P<0.05).Conclusion:HPV classification detection has better sensitivity than TCT detection,and the rate of missed diagnosis is low,which is expected to be the main method of cervical cancer screening.

关 键 词:HPV分型检测 TCT检测 对比分析 

分 类 号:R73[医药卫生—肿瘤]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象