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保定市3个县农村妇女人工智能辅助宫颈癌筛查结果分析

Analysis of Results from AI-Assisted Cervical Cancer Screening for Rural Women in Baoding City
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摘要 目的分析保定市2021年人工智能宫颈癌筛查项目的筛查数据,了解保定市人工智能辅助宫颈癌筛查效果及存在问题,为改进农村妇女人群宫颈癌防治工作提供依据。方法收集2021年保定市3个县宫颈癌筛查的35~64岁农村已婚妇女筛查资料,分析癌前病变和宫颈癌筛查情况。结果人工智能辅助宫颈癌筛查中细胞学阳性人数为863例,阳性检出率为7.94%。此外,542例细胞学阳性的妇女接受了阴道镜检查,结果显示低度病变18例,高度病变20例,宫颈癌1例。保定市三个县2019,2020,2021年的AUSCS+、低度病变和高度病变检出率差异有统计学意义(χ^(2)=858.90,P<0.001;χ^(2)=14.28,P=0.003;χ^(2)=10.75,P=0.013)。结论人工智能在宫颈癌筛查项目工作有一定的作用,但是还存在异常病例失访较多等问题,保定市宫颈癌的筛查防控工作有待进一步改进提高。 Objective To analyze the data of the artificial intelligence cervical cancer screening project in Baoding in 2021,understand the effect and existing problems of cervical cancer screening in Baoding,and provide a basis for improving the prevention and treatment of cervical cancer in the rural women population.Methods Screening data for married rural women aged 35-64 from three counties in Baoding City in 2021 were collected,and the data of precancerous lesions and cervical cancer screening was analyzed.Results The results show that artificial intelligence-assisted cervical cancer screening identified 863 cases of positive cytology,with a positivity rate of 7.94%.Additionally,542 women with positive cytology underwent colposcopy,which revealed 18 cases of low-grade lesions,20 cases of high-grade lesions,and 1 case of cervical cancer.There were statistically significant differences in the detection rates of AUSCS+,low-grade lesions,and high-grade lesions across three counties in Baoding from 2019 to 2021(χ^(2)=858.90,P<0.001;χ^(2)=14.28,P=0.003;χ^(2)=10.75,P=0.013).Conclusion The artificial intelligence cervical cancer screening project has shown some success,but there are still issues like a high rate of missed abnormal cases.The screening and prevention efforts for cervical cancer in Baoding City need further improvement.
作者 张笑笑 刘璐璐 严凤 杨金兰 王志强 胡美丽 ZHANG Xiaoxiao;LIU Lulu;YAN Feng;YANG Jinlan;WANG Zhiqiang;HU Meili(Baoding Maternal and Child Health Hospital,Baoding Hebei 071000;Handan First Hospital,Handan Hebei 056000;Key Laboratory of Public Health Safety of Hebei Province/Public Health College,Hebei University,Baoding Hebei 071000,China)
出处 《昆明医科大学学报》 CAS 2024年第10期135-139,共5页 Journal of Kunming Medical University
基金 保定市基础研究专项项目(2372P003)。
关键词 宫颈肿瘤 宫颈癌筛查 农村妇女 保定市 人工智能辅助细胞学系统 Cervical neoplasms Cervical cancer screening Rural women Baoding Artificial intelligence-assisted cytology system
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