人工智能辅助诊断系统在宫颈液基薄层细胞学检查中的应用  

Application of AI-assisted diagnostic system in cervical liquid-based thin-layer cytology

作　　者：马益 何秋香[3] 马骏[3] 胡乐寅 陈晨 李剑敏[3] MA Yi;HE Qiuxiang;MA Jun;HU Leyin;CHEN Chen;LI Jianmin(School of Information and Engineering,the First Clinical Medical College,Wenzhou Medical University,Wenzhou 325035,China;Department of Pathology,Sanmen People’s Hospital,Taizhou 317100,China;Department of Pathology,the First Affiliated Hospital of Wenzhou Medical University,Wenzhou 325015,China;Renji College,Wenzhou Medical University,Wenzhou 325035,China)

机构地区：[1]温州医科大学第一临床医学院(信息与工程学院),浙江温州325035 [2]三门县人民医院病理科,浙江台州317100 [3]温州医科大学附属第一医院病理科,浙江温州325015 [4]温州医科大学仁济学院,浙江温州325035

出　　处：《温州医科大学学报》2024年第10期806-810,816,共6页Journal of Wenzhou Medical University

摘　　要：目的:利用临床数据验证人工智能辅助诊断系统在宫颈液基薄层细胞学检查中的应用价值,进一步探索人工智能技术在病理医疗领域深入发展的可行性。方法:选取2023年2月至11月温州医科大学附属第一医院的1500例宫颈液基薄层细胞学涂片,其中包括843例膜式制片和657例沉降式制片。分析病理医师单独阅片、人工智能单独阅片及人工智能辅助医师阅片的灵敏度、特异度和准确度,并比较阅片时间。结果:人工智能辅助医师阅片预测灵敏度为92.83%,特异度为98.56%,准确度为97.33%,高于人工智能单独阅片(灵敏度81.93%、特异度92.71%、准确度90.40%)和病理医师单独阅片(灵敏度82.24%、特异度97.63%、准确度94.33%),差异有统计学意义(P<0.05)。人工智能辅助医师阅片相较于人工智能单独阅片和病理医师单独阅片在膜式制片和沉降制片方式上,灵敏度、特异度和准确率同样显著提升,差异有统计学意义(P<0.05)。此外,人工智能辅助医师阅片的平均时间为58 s/张,显著低于病理医师单独阅片时间70 s/张。结论:病理医师运用人工智能辅助诊断系统阅片具有高灵敏度、特异度及准确度的优势。运用人工智能辅助诊断系统阅片能提高筛查效率,减轻病理医师的工作压力。Objective:To verify with clinical data the application value of AI-assisted diagnostic system in cervical liquid-based thin-layer cytology examinations and to explore the feasibility of in-depth development of AI technology in the field of pathological medicine.Methods:A retrospective analysis was conducted on 1500 cases of cervical liquid-based thin-layer cytology smears collected from February to November 2023 at the First Affiliated Hospital of Wenzhou Medical University.The dataset comprised 843 membrane preparations and 657 sedimentary preparations.The sensitivity,specificity,and accuracy of cytopathologists alone,the AI-assisted diagnostic system alone,and cytopathologists utilizing the AI-assisted diagnostic system were evaluated,alongside a comparison of reading time.Results:Cytopathologists utilizing the AI-assisted diagnostic system demonstrated a sensitivity of 92.83%,specificity of 98.56%,and accuracy of 97.33%,compared with the AI-assisted diagnostic systems alone(with a sensitivity of 81.93%,specificity of 92.71%,and accuracy of 90.40%)and the cytopathologists alone(with a sensitivity of 82.24%,specificity of 97.63%,and accuracy of 94.33%),showing significant difference(P<0.05).Compared with the AI-assisted diagnostic system alone and the cytopathologists alone,cytopathologists utilizing the AI-assisted diagnostic system demonstrated significant improvement in sensitivity,specificity,and higher accuracy in both membrane-based and sedimentation-based slide preparation methods,with statistical significance(P<0.05).In addition,the average time for AI-assisted physicians to read images was 58 s/image,which was significantly lower than 70 s/image for cytopathologists alone.Conclusion:Cytopathologists leveraging AI-assisted diagnostic system benefit from heightened sensitivity,specificity,and accuracy.The adoption of AI-assisted diagnostic system enhances screening efficiency and alleviates the workload of cytopathologists.

关 键 词：宫颈癌细胞学诊断 人工智能辅助诊断系统 宫颈癌辅助筛查 

分 类 号：R737.33[医药卫生—肿瘤]