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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: |
ChiCTR2300078624 |
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最近更新日期: Date of Last Refreshed on: |
2023-12-14 09:36:45 |
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注册时间: Date of Registration: |
2023-12-14 00:00:00 |
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注册号状态: |
预注册 |
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Registration Status: |
Prospective registration |
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注册题目: |
基于多模态数据的非阻塞性冠心病风险预测模型研究 |
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Public title: |
Research on a Risk Prediction Model for Non obstructive Coronary Heart Disease Based on Multimodal 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: |
基于多模态数据的非阻塞性冠心病风险预测模型研究 |
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Scientific title: |
Research on a Risk Prediction Model for Non obstructive Coronary Heart Disease Based on Multimodal 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: |
张哲 |
研究负责人: |
张哲 |
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Applicant: |
Zhe Zhang |
Study leader: |
Zhang Zhe |
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申请注册联系人电话: Applicant telephone: |
+86 18102459155 |
研究负责人电话:
Study leader's |
+86 18102459155 |
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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: |
pedtrainzhzh7676@163.com |
研究负责人电子邮件: Study leader's E-mail: |
18102459155@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: |
辽宁省沈阳市皇姑区北陵大街33号 |
研究负责人通讯地址: |
沈阳市皇姑区北陵大街33号 |
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Applicant address: |
No 33 Beiling Street Huanggu District Shenyang City Liaoning Province |
Study leader's address: |
Beiling Street No.33 Huanggu District of Shenyang,Liaoning province ,China |
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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: |
辽宁中医药大学附属医院 |
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Applicant's institution: |
Affiliated Hospital of Liaoning University of Traditional Chinese Medicine |
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研究负责人所在单位: |
辽宁中医药大学附属医院 |
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Affiliation of the Leader: |
The Affiliated Hospital of Liaoning University of Traditional Chinese Medicine |
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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: |
2023060CS(KT)-060-01 |
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: |
辽宁中医药大学附属医院伦理委员会 |
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Name of the ethic committee: |
IRB of The Affiliated hospital of Liaoning University of Traditional Chinese Medicine |
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伦理委员会批准日期: Date of approved by ethic committee: |
2023-11-30 00:00:00 | ||
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伦理委员会联系人: |
田苗 |
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Contact Name of the ethic committee: |
Tian Miao |
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伦理委员会联系地址: |
沈阳市皇姑区北陵大街33号 |
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Contact Address of the ethic committee: |
Beiling Street No.33 Huanggu District of Shenyang,Liaoning province ,China |
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伦理委员会联系人电话: Contact phone of the ethic committee: |
+86 24 82961989 |
伦理委员会联系人邮箱: Contact email of the ethic committee: |
6673821@163.com |
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研究实施负责(组长)单位: |
辽宁中医药大学附属医院 |
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Primary sponsor: |
The Affiliated Hospital of Liaoning University of Traditional Chinese Medicine |
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研究实施负责(组长)单位地址: |
沈阳市皇姑区北陵大街33号 |
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Primary sponsor's address: |
Beiling Street No.33 Huanggu District of Shenyang,Liaoning province ,China |
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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: |
青年岐黄学者支持项目 |
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Source(s) of funding: |
Youth Qi Huang cholar Support Project |
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研究疾病: |
非阻塞性冠心病 |
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Target disease: |
non obstructive coronary heart disease |
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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: |
病例对照研究 |
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Study design: |
Case-Control study |
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研究目的: |
引入人工智能影像量化技术及多模态数据融合技术,发掘非阻塞性冠心病人群高危影像特征、中医证候特征、理化特征等临床特征,构建基于多模态的非阻塞性冠心病风险预测模型,为无创精准识别非阻塞性冠心病高危人群提供风险评估工具。 |
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Objectives of Study: |
Introducing artificial intelligence image quantification technology and multimodal data fusion technology exploring clinical features such as high-risk imaging features traditional Chinese medicine syndrome features and physicochemical features of non obstructive coronary heart disease populations and constructing a non obstructive coronary heart disease risk prediction model based on multimodal Chinese and Western medicine providing a risk assessment tool for non-invasive and accurate identification of non obstructive coronary heart disease high-risk populations |
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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: |
因胸痛症状就诊,疑似冠心病,行 CCTA 检查的患者 |
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Inclusion criteria |
Patients who seek medical attention due to chest pain symptoms suspected of coronary heart disease and undergo CCTA examination |
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排除标准: |
临床资料缺失者 |
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Exclusion criteria: |
Missing clinical data |
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研究实施时间: Study execute time: |
从 From 2023-12-15 00:00:00至 To 2025-06-30 00:00:00 |
征募观察对象时间: Recruiting time: |
从 From 2023-12-15 00:00:00 至 To 2024-12-31 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: |
尚未开始 Not yet recruiting |
年龄范围: Participant age: |
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性别: |
男女均可 |
Gender: |
Both |
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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): |
无 |
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The way of sharing IPD”(include metadata and protocol, If use web-based public database, please provide the url): |
None |
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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 ,电子采集和管理系统 |
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Data collection and Management (A standard data collection and management system include a CRF and an electronic data capture: |
CRF and electronic data capture |
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数据与安全监察委员会: Data and Safety Monitoring Committee: |
有/Yes |