人工智能辅助宫颈细胞学诊断技术的应用及质量控制专家共识

Expert consensus on application and quality control of artificial intelligence assisted diagnostic techniques for cervical cytology

宫颈癌是严重威胁广大女性身心健康的恶性肿瘤之一,目前宫颈癌筛查方法主要包括人乳头瘤状病毒(HPV)核酸检测和细胞学检查。HPV检测阳性者通常需要进一步的细胞学等检查进行分流。HPV检测和细胞学联合筛查也需要细胞学医生的参与。在我国各地区适龄女性宫颈癌组织性筛查工作实施过程中,发现细胞学医生数量和能力的缺乏尤其是基层地区的缺乏是影响宫颈细胞学异常检出率的重要因素。人工智能(AI)辅助宫颈细胞学诊断技术已经开始试点应用于宫颈癌检查项目工作中,为了高质量地开展宫颈癌筛查工作,规范AI辅助宫颈细胞学诊断技术在宫颈癌检查项目中的应用,以及对提供相关项目的机构进行质控,保障宫颈癌检查项目尤其是人群组织性筛查的工作质量,助力我国《加速消除宫颈癌行动计划(2023—2030年)》,最终达到降低宫颈癌发生率和死亡率的目的,中国妇幼保健协会妇女病防治专业委员会特组织相关专家编写了本共识,主要内容包括AI辅助宫颈细胞学诊断技术的定义、AI辅助宫颈细胞学检查系统的要求、AI辅助宫颈细胞学诊断技术的应用和质量控制。

Cervical cancer is one of the malignant tumors that threaten health of the women seriously.At present,cervical cancer screening method includes human papillomavirus(HPV)nucleic acid test and cervical cytological examination.Those women with positive HPV result usually needs further triage with cytological examination.Combination of HPV detection and cytological screening also requires involvement of the cytologist.But lacks in quantity and ability of the cytologist in our country,especially in remote areas are important factors that affect detection rate for cervical cytological abnormalities.Artificial intelligence(AI)assisted diagnostic technique for cervical cytology has been applied in cervical cancer screening project on a pilot basis.In order to carry out cervical cancer screening with high quality,to standardize application of AI-assisted diagnostic techniques for cervical cytology in cervical cancer screening project especially in population-organized screening,to conduct quality control for institutions that implement related screening items,to ensure quality of cervical cancer screening project especially population-organized screening,assist in Action Plan of Accelerating to Eliminate Cervical Cancer(2023-2030),so as to reduce incidence and mortality of cervical cancer eventually,Women s Disease Prevention and Control Professional Committee of Chinese Maternal and Child Health Association(CMCHA)organized relevant experts to compile this consensus.Its main contents include definition of AI-assisted diagnostic techniques for cervical cytology,requirements of the AI-assisted cervical cytological examination system,application and quality control of AI-assisted diagnostic techniques for cervical cytology.