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人工智能辅助宫颈细胞学筛查联合HPV分流在宫颈癌人群筛查中的应用分析 被引量:7

Analysis of artificial intelligence-assisted cervical cytology screening combined with HPV detection in cervical cancer screening
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摘要 目的分析人工智能辅助宫颈细胞学筛查联合人乳头瘤病毒(HPV)分流在农村妇女免费宫颈癌筛查中的可行性及应用价值。方法收集2019年5月—2021年11月徐州市一县区35~64岁女性进行免费宫颈癌筛查的资料,分为人工阅片细胞学筛查组(人工阅片组)、人工智能辅助宫颈细胞学筛查组(AI组)、人工智能辅助宫颈细胞学筛查HPV分流组(AI+HPV组),比较2种细胞学筛查结果的阳性检出率(≥ASCUS),比较3组筛查方法病理阳性检出率,观察细胞学结果与病理诊断符合率。结果采用人工智能辅助细胞学筛查的异常细胞学结果检出率明显高于人工阅片组(P<0.001);AI组和AI+HPV组的阴道镜活检病理阳性检出率均高于人工阅片组(P<0.001);其中以病理结果≥HSIL为标准计算阳性病变,AI+HPV组的ASCUS病理阳性符合率最高,与其他2组相比差异亦有统计学意义(P<0.001);以病理结果≥LSIL为标准计算阳性病变,AI组和AI+HPV组的ASCUS病理阳性符合率均高于人工阅片组(P<0.001)。结论人工智能辅助宫颈细胞学筛查技术能够提高细胞学筛查的异常检出率及宫颈癌前病变的检出率,人工智能辅助细胞学联合高危型HPV分流降低了阴道镜转诊率,提高了细胞学与活检病理的诊断符合率。 Objective To evaluate the feasibility and application of artificial intelligence(AI) assisted cervical cytology screening combined with HPV detection in HPV detection for women in the rural areas.Methods Data were collected from free cervical cancer screening for women aged 35-64 in one county of Xuzhou from May 2019 to November 2021.According to different detection methods,the patients were divided into three groups:an artificially reading cytology screening(artificial) group,an artificial intelligence-assisted cervical cytology screening(AI) group,and an artificial intelligence-assisted cervical cytology combined with HPV screening(AI+HPV) group.The positive rates of abnormal cytology screening results(≥ASCUS) were compared between the two cytology screening methods.The positive rates of histopathological examination were compared among all three groups.The consistence between cytological results and pathological diagnosis were also analyzed.Results The AI group presented a higher rate of abnormal cytology screening than the artificial group(P<0.001).The AI group and the AI+HPV group showed a higher rate of pathological diagnosis than the artificial group(P<0.001).When ≥HSIL was used to calculate positive pathology,the positive rate of ASCUS in the AI+HPV group was higher than those in the other two groups(P<0.001).When ≥ LSIL was used to calculate positive pathology,the positive rates of ASCUS in the AI group and the AI+HPV group were higher than that in the artificial group(P<0.001).Conclusions AI-assisted cervical cytology screening can improve the detection rate of abnormal cytology and cervical precancerous lesions.AI-assisted cervical cytology combined with high-risk HPV screening reduces the referral rate of colposcopy and improves the consistence between cytological results and biopsy pathological diagnosis.
作者 何雪梅 黄辉 王婷 杜慧 蒋梦雨 梁慧 HE Xuemei;HUANG Hui;WANG Ting;DU Hui;JIANG Mengyu;LIANG Hui(Department of Cervical Diseases,Xuzhou Maternal and Child Health Care Hospital Affiliated to Xuzhou Medical University,Xuzhou,Jiangsu 221002,China)
出处 《徐州医科大学学报》 CAS 2022年第4期273-278,共6页 Journal of Xuzhou Medical University
基金 江苏省卫生健康委妇幼健康重点资助课题(F202003) 徐州市卫生健康委科技项目重点项目(XWKYHT20200038)。
关键词 宫颈癌 人工智能 宫颈癌筛查 细胞学 人乳头瘤病毒 cervical cancer artificial intelligence cervical cancer screening cytology HPV
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  • 1任生达,米振国,马俊飞,张永贞,王素梅,孙立新,向喜娥,王全红,石菊芳,乔友林.适宜农村地区子宫颈癌筛查方法的研究[J].肿瘤研究与临床,2005,17(6):391-393. 被引量:21
  • 2李霓,马聪萍,孙立新,张永贞,张永贞,邢菊霞,邵淑丽,邢菊霞,鲍彦平,黄瑞德,贺立绩,乔友林.碘染色肉眼观察作为宫颈癌初筛方法的效果评价[J].中华流行病学杂志,2006,27(1):15-18. 被引量:38
  • 3章文华,李淑敏,李楠,李洪君,李晓光,白萍,吴琨.318例宫颈上皮内瘤变的临床分析[J].临床肿瘤学杂志,2006,11(9):666-669. 被引量:25
  • 4魏丽惠.面向子宫颈癌的挑战[J].中国妇产科临床杂志,2007,8(2):83-83. 被引量:14
  • 5Parkin DM, Bray FI, Devesa SS. Cancer burden in the year 2000: the global picture. Eur J Cancer, 2001, 37 Suppl 8 : S4-S66.
  • 6鲍彦平,宋丹,赵方辉,等.子宫颈癌的筛查及早诊早治研究//董志伟.中国癌症研究进展(8):中国癌症高发现场防治工作.北京:北京大学医学出版社,2007:429-452.
  • 7任生达,石菊芳,郝兰萍,等.山西襄垣现场介绍//董志伟.中国癌症研究进展(8):中国癌症高发现场防治工作.北京:北京大学医学出版社,2007:215-221.
  • 8乔友林,章文华,赵芳辉,等.子宫颈癌筛查及早诊早治//董志伟.中国癌症研究进展(7):中国主要癌症的筛查及早诊早治.北京:北京大学医学出版社,2005:212-240.
  • 9Pan Q, Belinson JL, Li L, et al. A thin-layer, liquid-based pap test for mass screening in an area of China with a high incidence of cervical carcinoma : a cross-sectional, comparative study. Acta Cytol, 2003, 47:45-50.
  • 10Belinson J, Qiao YL, Pretorius R, et al. Shanxi Province Cervical Cancer Screening Study: a cress-sectional comparative trim of multiple techniques to detect cervical neoplasia. Gynecol Oncol, 2001, 83:439-444.

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