广东医学2025，Vol.46Issue(4)：495-501,7.DOI:10.13820/j.cnki.gdyx.20242698
宫颈液基细胞学计算机辅助分析在宫颈癌筛查应用中的意义
The significance of computer-aided analysis of liquid-based cytology in cervical cancer screening applications
摘要
Abstract
Objective To evaluate the potential of computer-aided analysis(CAA)technology for liquid-based thin-layer cytology in improving the accuracy and efficiency of cervical cancer screening.Methods Using artifi-cial intelligence deep learning models,this study analyzed 220,000 images of liquid-based thin-layer cytology samples.The diagnostic outcomes and efficiency of the analysis methods were statistically evaluated.Cervical cytology diagnoses fol-lowed the 2014 Bethesda System(TBS),with positive results classified as ASC-US and above.Results The accuracy and efficiency of three different cervical cancer screening methods were compared.The sensitivity,specificity and accuracy of pathologists were 96.80％,93.61％ and accuracy 95.21％,respectively;those of AI-assisted analysis were 98.60％,79.61％ and 89.11％,respectively;and those of AI analysis system-assisted pathologist review were 100.00％,95.74％ and 97.87％,respectively.The results indicate that compared to traditional manual microscopic re-view,computer-aided analysis significantly improves the accuracy of pathologists'reviews.Regarding review times,three pathologists required approximately 11 000 hours to review all 220 000 samples manually,while AI-only analysis took 3 663 hours.AI-assisted review required approximately 5 500 hours,doubling the efficiency compared to manual review.Conclusion Computer-aided analysis of liquid-based thin-layer cytology holds significant value in cervical cancer screening.It effectively enhances screening accuracy and efficiency,alleviating pathologists'workloads.By combining CAA technology with clinical experience,it can serve as an important auxiliary tool for cervical cancer screening.关键词
宫颈癌筛查/计算机辅助分析/深度学习/宫颈液基薄层细胞学/诊断准确性Key words
cervical cancer screening/computer-aided analysis/deep learning/liquid-based thin-layer cy-tology/diagnostic accuracy分类
临床医学引用本文复制引用
杨伟康,索婷姣,向婷,张燕,易利模,吴庆军,刘艳群,郭君,王嫚,凌晟荣,彭汝娇..宫颈液基细胞学计算机辅助分析在宫颈癌筛查应用中的意义[J].广东医学,2025,46(4):495-501,7.基金项目
深圳市龙华区科技创新专项资金项目(社会公益科研项目资助类-医疗卫生项目)(2021031) （社会公益科研项目资助类-医疗卫生项目）
