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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: |
ChiCTR2600123278 |
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最近更新日期: Date of Last Refreshed on: |
2026-04-23 15:24:12 |
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注册时间: Date of Registration: |
2026-04-23 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: |
基于胎儿面部影像多模态数据的遗传综合征产前智能诊断系统构建与评估 |
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Public title: |
Construction and Evaluation of a Prenatal Intelligent Diagnostic System for Genetic Syndromes Based on Multimodal Fetal Facial Imaging Data |
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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: |
基于胎儿面部影像多模态数据的遗传综合征产前智能诊断系统构建与评估 |
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Scientific title: |
Construction and Evaluation of a Prenatal Intelligent Diagnostic System for Genetic Syndromes Based on Multimodal Fetal Facial Imaging Data |
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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: |
韩瑾 |
研究负责人: |
韩瑾 |
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Applicant: |
Han Jin |
Study leader: |
Han Jin |
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申请注册联系人电话: Applicant telephone: |
+86 20 3807 6337 |
研究负责人电话:
Study leader's |
+86 20 3807 6337 |
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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: |
hanjin1123@gzhmu.edu.cn |
研究负责人电子邮件: Study leader's E-mail: |
hanjin1123@163.com |
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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: |
广东省广州市天河区金穗路9号 |
研究负责人通讯地址: |
广东省广州市天河区金穗路9号 |
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Applicant address: |
No. 9, Jinshui Road, Tianhe District, Guangzhou City, Guangdong Province |
Study leader's address: |
No. 9, Jinshui Road, Tianhe District, Guangzhou City, Guangdong Province |
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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: |
广州医科大学附属妇女儿童医疗中心 |
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Applicant's institution: |
Guangzhou Medical University Affiliated Women and Children's Medical Center |
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研究负责人所在单位: |
广州医科大学附属妇女儿童医疗中心 |
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Affiliation of the Leader: |
Guangzhou Medical University Affiliated Women and Children's Medical Center |
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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: |
穗妇儿科伦批字[2024]第508B01号 |
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: |
广州医科大学附属妇女儿童医疗中心科学研究伦理委员会 |
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Name of the ethic committee: |
Research Ethics Committee of Guangzhou Women and Children's Medical Center |
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伦理委员会批准日期: Date of approved by ethic committee: |
2025-01-01 00:00:00 | ||
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伦理委员会联系人: |
斯文越 |
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Contact Name of the ethic committee: |
Si Wenyue |
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伦理委员会联系地址: |
广东省广州市天河区金穗路9号 |
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Contact Address of the ethic committee: |
No. 9, Jinshui Road, Tianhe District, Guangzhou City, Guangdong Province |
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伦理委员会联系人电话: Contact phone of the ethic committee: |
+86 20 38367270 |
伦理委员会联系人邮箱: Contact email of the ethic committee: |
270820130@qq.com |
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研究实施负责(组长)单位: |
广州医科大学附属妇女儿童医疗中心 |
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Primary sponsor: |
Guangzhou Medical University Affiliated Women and Children's Medical Center |
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研究实施负责(组长)单位地址: |
广东省广州市天河区金穗路9号 |
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Primary sponsor's address: |
No. 9, Jinshui Road, Tianhe District, Guangzhou City, Guangdong Province |
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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: |
广州医科大学科研能力提升计划 |
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Source(s) of funding: |
Guangzhou Medical University Scientific Research Capacity Enhancement Plan |
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研究疾病: |
产前胎儿21 三体综合征、18 三体综合征、Turner 综合征以及胎儿22q11.2 缺失综合征、努南综合征等常见遗传综合征疾病 |
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Target disease: |
Trisomy 21, Trisomy 18, Turner syndrome, as well as common genetic syndromes such as fetal 22q11.2 deletion syndrome and Noonan syndrome |
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研究疾病代码: |
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Target disease code: |
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研究类型: |
观察性研究 |
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Study type: |
Observational study |
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研究所处阶段: |
其它 | ||||||||||||||||||||||
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Study phase: |
N/A |
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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: |
本项目拟解决早期诊断胎儿遗传综合征的技术难题, 通过建立多维度大样本数据库, 孕妇临床基本信息 (电子病历与实验室检查结果) 、 遗传基因检测结果、 胎儿颜面 2D/3D影像、胎儿宫内行为数据等,运用超声图像智能增强预处理、研发计算机视觉、自然语言处理、智能生物测量、多模态融合等技术,形成 AI 智能筛查模型,并纵横向深度挖掘,构建异常胎儿数据模型预警。实现胎儿遗传综合征的产前智能识别和诊断,开展系统的性能评估,建立临床技术标准,促进新技术的推广和应用。 |
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Objectives of Study: |
This project aims to address the technical challenges in the early diagnosis of fetal genetic syndrome defects. By establishing a multidimensional, large-sample database—including basic clinical information of pregnant women (electronic medical records and laboratory test results), genetic test results, 2D/3D images of fetal facial features, and intrauterine fetal behavior data—and utilizing technologies such as intelligent ultrasound image enhancement preprocessing, computer vision, natural language processing, intelligent biometrics, and multimodal fusion, an AI-based intelligent screening model will be developed. Deep vertical and horizontal mining will be conducted to build abnormal fetal data model warnings. The project seeks to achieve prenatal intelligent identification and diagnosis of fetal genetic syndromes, carry out systematic performance evaluations, establish clinical technical standards, and promote the adoption and application of new technologies. |
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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.夫妻双方均为华人; 2.单胎妊娠; 3.超声检查孕周在11-27+6 周; 4.21三体综合征、18 三体综合征、Turner 综合征以及胎儿22q11.2 缺失综合征、努南综合征等常见遗传综合征疾病; 5.如为嵌合体,异常嵌合体比例大于20%; 6.留存质量合格的颜面部二维、三维超声图像 |
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Inclusion criteria |
1.Both couples are of Chinese descent; |
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排除标准: |
1.在参与研究后,研究参与者如有退出,则将该样本进行排除 |
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Exclusion criteria: |
1.After participating in the study, if a participant withdraws, that sample will be excluded. |
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研究实施时间: Study execute time: |
从 From 2025-08-01 00:00:00至 To 2028-07-31 00:00:00 |
征募观察对象时间: Recruiting time: |
从 From 2025-08-15 00:00:00 至 To 2028-07-31 00:00:00 |
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干预措施: Interventions: |
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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: |
正在进行 Recruiting |
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): |
无 |
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Randomization Procedure (please state who generates the random number sequence and by what method): |
None |
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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: |
无 |
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Blinding: |
None |
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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): |
研究结束后半年内,通过ResMan(www.medresman.org.cn)方式共享 |
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The way of sharing IPD”(include metadata and protocol, If use web-based public database, please provide the url): |
Within six months after the completion of the research, the results will be shared via the ResMan platform (www.medresman.org.cn) |
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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: |
EDC |
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Data collection and Management (A standard data collection and management system include a CRF and an electronic data capture: |
EDC |
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数据与安全监察委员会: Data and Safety Monitoring Committee: |
有/Yes |