人工智能辅助系统在宫颈病变细胞学诊断中的应用效果研究  

Application of an artificial intelligence-assisted system in cytological diagnosis of cervical lesions

作　　者：郭晓 刘颖[1] 王蕊[1] 廉亚丽 杜芸[1] GUO Xiao;LIU Ying;WANG Rui;LIAN Yali;DU Yun(Department of Cytology,the Fourth Hospital of Hebei Medical University,Shijiazhuang 050011,Hebei,China)

机构地区：[1]河北医科大学第四医院细胞学室,河北石家庄050011

出　　处：《癌变．畸变．突变》2022年第5期361-365,共5页Carcinogenesis,Teratogenesis & Mutagenesis

基　　金：河北省重点研发计划项目-民生科技专项(20377723D)。

摘　　要：目的:分析人工智能(AI)辅助系统在宫颈病变细胞学诊断中的应用效果。方法:收集宫颈液基薄层细胞学(TCT)标本2719例,同时进行AI辅助阅片和人工阅片,比较两者的一致性。以活体组织检查结果为金标准,比较AI辅助阅片和人工阅片的准确性,诊断高级别病变及癌的敏感性、特异性及ROC曲线下面积。结果:AI辅助阅片和人工阅片的细胞学分级诊断结果基本一致。AI辅助阅片在诊断低级别病变及炎症的准确率高于人工阅片(P<0.01)。在诊断高级别病变及癌方面,AI辅助阅片敏感性为82.1%,高于人工阅片的敏感性48.3%;AI辅助阅片特异度为94.3%,略低于人工阅片的特异度95.0%;AI辅助阅片的ROC曲线下面积为0.882,大于人工阅片的ROC曲线下面积0.717(P<0.01)。结论:AI辅助阅片在宫颈癌诊断方面准确度较高,不仅能提高宫颈癌筛查的覆盖率,而且能提高筛查质量,能够在广大人群中得到广泛推广。OBJECTIVE:To analyze the application effects of artificial intelligence(AI)in cytological diagnosis of cervical lesions.METHODS:2719 cervical TCT specimens were collected.AI-assisted and manual diagnoses were performed on all specimens to compare their consistency.Histopathological results were used as the gold standard.The accuracy,sensitivity,specificity and area under ROC curve of AI-assisted diagnosis and manual diagnosis were compared.RESULTS:The results of AI-assisted cytological grading diagnosis were basically consistent with results of manual diagnosis.AI-assisted diagnosis of low-grade lesions and inflammation was more accurate than manual radiography(P<0.01).In the diagnosis of high-grade lesions and cancer,the sensitivity of AI diagnosis was 82.1%,higher than 48.3%of manual diagnosis.The specificity of AI diagnosis was 94.3%,slightly lower than 95.0%of manual diagnosis.The area under ROC curve of AIassisted diagnosis(AUC=0.882)was larger than that of manual diagnosis(AUC=0.717),and the difference was statistically significant(P<0.01).CONCLUSION:AI-assisted diagnosis showed high accuracy in the diagnosis of cervical cancer,which should improve the coverage rate and the quality of cervical cancer screening in the general population.

关 键 词：宫颈癌 人工智能 液基细胞学 TBS诊断 辅助阅片 

分 类 号：R737.33[医药卫生—肿瘤]