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审核状态: Project audit state: |
通过审核 Successful |
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注册号: Registration number: |
ChiCTR2000034131 |
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最近更新日期: Date of Last Refreshed on: |
2020-06-25 21:47:39 |
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注册时间: Date of Registration: |
2020-06-25 00:00:00 |
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注册号状态: |
补注册 |
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Registration Status: |
Retrospective registration |
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注册题目: |
人工智能细胞学图像识别技术用于筛查宫颈癌前病变和宫颈癌的病例对照研究 |
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Public title: |
The identification of cervical intraepithelial neoplasia and invasive cancer using artificial intelligence based on electronic cytological image : a case-control study. |
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注册题目简写: |
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English Acronym: |
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研究课题的正式科学名称: |
子宫颈癌筛查适宜技术研究项目 |
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Scientific title: |
The cervical cancer screening program |
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研究课题代号(代码): Study subject ID: |
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在二级注册机构或其它机构的注册号: The registration number of the Partner Registry or other register: |
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申请注册联系人: |
包鹤龄 |
研究负责人: |
王临虹 |
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Applicant: |
Heling Bao |
Study leader: |
Linhong Wang |
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申请注册联系人电话: Applicant telephone: |
+86 13911579534 |
研究负责人电话:
Study leader's |
+86 13311088556 |
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申请注册联系人传真 : Applicant Fax: |
研究负责人传真: Study leader's fax: |
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申请注册联系人电子邮件: Applicant E-mail: |
baohl@bjmu.edu.cn |
研究负责人电子邮件: Study leader's E-mail: |
linhong@chinawch.org.cn |
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申请单位网址(自愿提供): Applicant website(voluntary supply): |
研究负责人网址(自愿提供): Study leader's website(voluntary supply): |
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申请注册联系人通讯地址: |
北京市海淀区学院路38号 |
研究负责人通讯地址: |
北京市西城区南纬路27号 |
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Applicant address: |
38 Xueyuan Road, Haidian District, Beijing |
Study leader's address: |
27 Nanwei Road, Xicheng District, Beijing |
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申请注册联系人邮政编码: Applicant postcode: |
研究负责人邮政编码: Study leader's postcode: |
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申请人所在单位: |
北京大学医学部 |
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Applicant's institution: |
Peking University Health Science Center |
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研究负责人所在单位: |
中国疾病预防控制中心慢性非传染性疾病预防控制中心 |
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Affiliation of the Leader: |
National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention |
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是否获伦理委员会批准: |
是 |
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Approved by ethic committee: |
Yes |
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伦理委员会批件文号: Approved No. of ethic committee: |
【CDC慢病】201617 |
伦理委员会批件附件: Approved file of Ethical Committee: |
查看附件View |
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批准本研究的伦理委员会名称: |
中国疾病预防控制中心慢病中心伦理委员会 |
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Name of the ethic committee: |
Ethical Committee of the National Center for Chronic and Non-Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention. |
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伦理委员会批准日期: Date of approved by ethic committee: |
2016-10-24 00:00:00 | ||
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伦理委员会联系人: |
王卓群 |
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Contact Name of the ethic committee: |
Zhuoqun Wang |
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伦理委员会联系地址: |
北京市西城区南纬路27号 |
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Contact Address of the ethic committee: |
27 Nanwei Road, Xicheng District, Beijing, China |
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伦理委员会联系人电话: Contact phone of the ethic committee: |
伦理委员会联系人邮箱: Contact email of the ethic committee: |
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研究实施负责(组长)单位: |
中国疾病预防控制中心慢性非传染性疾病预防控制中心 |
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Primary sponsor: |
National Center for Chronic and Non-Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention. |
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研究实施负责(组长)单位地址: |
北京市西城区南纬路27号 |
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Primary sponsor's address: |
27 Nanwei Road, Xicheng District, Beijing |
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试验主办单位(项目批准或申办者): Secondary sponsor: |
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经费或物资来源: |
妇幼健康研究会 |
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Source(s) of funding: |
Association of Maternal and Child Health Studies |
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研究疾病: |
宫颈癌前病变与宫颈癌 |
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Target disease: |
Cervical intraepithelial neoplasia and invasive cancer |
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研究疾病代码: |
C53 |
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Target disease code: |
C53 |
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研究类型: |
诊断试验 |
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Study type: |
Diagnostic test |
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研究所处阶段: |
探索性研究/预试验 | ||||||||||||||||||||||
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Study phase: |
0 |
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研究设计: |
连续入组 |
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Study design: |
Sequential |
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研究目的: |
评价基于人工智能技术的细胞学技术识别宫颈癌前病变和宫颈癌的诊断效果与人工阅片的液基细胞学、HPV检测技术的差异。 |
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Objectives of Study: |
The study aims to evaluate the diagnostic performance of the cytology technology based on artificial intelligence in identification of cervical intraepithelial neoplasia (CIN) and invasive cancer compared with liquid-based cytology with manual reading and HPV test. |
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药物成份或治疗方案详述: |
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Description for medicine or protocol of treatment in detail: |
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纳入标准: |
(1) 年龄在25-64岁; |
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Inclusion criteria |
(1) Women aged 20-64 years |
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排除标准: |
(1) 妊娠期或哺乳期女性; |
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Exclusion criteria: |
(1) women who were pregnant or in suckling period, |
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研究实施时间: Study execute time: |
从 From 2017-01-01 00:00:00至 To 2020-12-31 00:00:00 |
征募观察对象时间: Recruiting time: |
从 From 2017-03-01 00:00:00 至 To 2018-12-31 00:00:00 |
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诊断试验: Diagnostic Tests: |
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研究实施地点: Countries of recruitment and research settings: |
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测量指标: Outcomes: |
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采集人体标本:
Collecting sample(s)
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征募研究对象情况: Recruiting status: |
结束 /Completed |
年龄范围: Participant age: |
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性别: |
女性 |
Gender: |
Female |
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随机方法(请说明由何人用什么方法产生随机序列): |
不对入选女性进行随机分组,所有入选女性均采集宫颈脱落细胞样本,样本分为三份,随机分配给人工智能细胞学技术(DNA倍体分析)、人工阅片液基细胞学、HPV检测。采样结束后,所有女性均分为根据病理诊断结果分为病例组和对照组。每名女性的样本的随机分组由中国疾病预防控制中心慢病中心课题组采用随机数字法进行。 |
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Randomization Procedure (please state who generates the random number sequence and by what method): |
Recruited women will not be randomly allocated. Each included woman will be collected with cervical exfoliated cell sample and receive colposcopy-directed biopsy. Sample collected from each women will be divided into three, which is randomly allocated to artificial intelligence-based liquid-based cytology (DNA ploidy analysis) |
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是否公开试验完成后的统计结果: Calculated Results after the Study Completed public access: |
不公开/Private |
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盲法: |
未说明 |
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Blinding: |
Not stated |
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是否共享原始数据: IPD sharing |
是Yes |
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共享原始数据的方式(说明:请填入公开原始数据日期和方式,如采用网络平台,需填该网络平台名称和网址): |
2020年12月31日前,中国疾病预防控制中心慢病中心 中国临床试验注册中心 |
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The way of sharing IPD”(include metadata and protocol, If use web-based public database, please provide the url): |
Before December 31, 2020. National center for chronic and non-communicable disease control and prevention, Chinese center for disease control and prevention |
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数据采集和管理(说明:数据采集和管理由两部分组成,一为病例记录表(Case Record Form, CRF),二为电子采集和管理系统(Electronic Data Capture, EDC),如ResMan即为一种基于互联网的EDC: |
病例记录表 |
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Data collection and Management (A standard data collection and management system include a CRF and an electronic data capture: |
Case Record Form |
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数据与安全监察委员会: Data and Safety Monitoring Committee: |
暂未确定/Not yet |