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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: |
ChiCTR2500100034 |
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最近更新日期: Date of Last Refreshed on: |
2025-04-02 08:54:11 |
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注册时间: Date of Registration: |
2025-04-02 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7.0T高分辨磁共振血管壁成像检测高危颅内动脉粥样硬化性狭窄斑块性质构建脑卒中发生风险预测模型 |
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Public title: |
Construction of a Stroke Risk Prediction Model Based on 7.0T High-Resolution Magnetic Resonance Imaging for Detecting the Nature of High-Risk Intracranial Atherosclerotic Stenosis Plaques |
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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7.0T高分辨磁共振血管壁成像检测高危颅内动脉粥样硬化性狭窄斑块性质构建脑卒中发生风险预测模型 |
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Scientific title: |
Construction of a Stroke Risk Prediction Model Based on 7.0T High-Resolution Magnetic Resonance Imaging for Detecting the Nature of High-Risk Intracranial Atherosclerotic Stenosis Plaques |
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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: |
周振华 |
研究负责人: |
周振华 |
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Applicant: |
Zhenhua Zhou |
Study leader: |
Zhenhua Zhou |
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申请注册联系人电话: Applicant telephone: |
+86 13594145356 |
研究负责人电话: Study leader's telephone: |
+86 23 68765461 |
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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: |
exploiter001@126.com |
研究负责人电子邮件: Study leader's E-mail: |
exploiter001@126.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: |
重庆市沙坪坝区高滩岩正街30号 |
研究负责人通讯地址: |
重庆市沙坪坝区高滩岩正街29号 |
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Applicant address: |
30 Gaotanyan Main Street, Shapingba District, Chongqing |
Study leader's address: |
No 29 Gaotanyan Main Street Shapingba District Chongqing |
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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: |
陆军军医大学第一附属医院 |
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Applicant's institution: |
The First Affiliated Hospital of the Army Medical University |
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研究负责人所在单位: |
中国人民解放军陆军军医大学第一附属医院 |
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Affiliation of the Leader: |
The First Affiliated Hospital of Army Medical University |
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是否获伦理委员会批准: |
是/Yes |
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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: |
(A)KY2025048 |
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: |
中国人民解放军陆军军医大学第一附属医院伦理委员会 |
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Name of the ethic committee: |
Ethics Committee of the First Affiliated Hospital of Army Medical University PLA |
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伦理委员会批准日期: Date of approved by ethic committee: |
2025-03-11 00:00:00 |
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伦理委员会联系人: |
贺莉 |
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Contact Name of the ethic committee: |
He Li |
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伦理委员会联系地址: |
重庆市沙坪坝区高滩岩正街29号 |
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Contact Address of the ethic committee: |
No 29 Gaotanyan Main Street Shapingba District Chongqing |
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伦理委员会联系人电话: Contact phone of the ethic committee: |
+86 23 68754035 |
伦理委员会联系人邮箱: Contact email of the ethic committee: |
cqhl13@qq.com |
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研究实施负责(组长)单位: |
中国人民解放军陆军军医大学第一附属医院 |
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Primary sponsor: |
The First Affiliated Hospital of Army Medical University |
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研究实施负责(组长)单位地址: |
重庆市沙坪坝区高滩岩正街29号 |
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Primary sponsor's address: |
No 29 Gaotanyan Main Street Shapingba District Chongqing |
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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: |
陆军军医大学第一附属医院2024年度7T磁共振专项重点项目 |
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Source(s) of funding: |
The First Affiliated Hospital of Army Medical University 2024 Annual 7T MRI Special Key Project |
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Target disease: |
Intracranial atherosclerotic disease |
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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: |
利用7.0T高分辨磁共振血管壁成像技术探究高危颅内动脉粥样硬化狭窄患者斑块的影像组学特征和临床诊疗数据与远期卒中发生之间的关系,并使用深度学习模型结合图像特征与多组学特征建立ICAD患者1年卒中发生风险预测模型,以期为ICAD患者卒中发生预警提供依据。 |
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Objectives of Study: |
Utilizing 7.0T high-resolution magnetic resonance vessel wall imaging technology, we investigated the relationship between the radiomics characteristics of plaques in high-risk patients with intracranial atherosclerotic stenosis and their clinical diagnosis and treatment data with long-term stroke occurrence. We also employed a deep learning model to integrate image features with multi-omics features to establish a 1-year stroke risk prediction model for ICAD patients, aiming to provide a basis for stroke occurrence early warning in ICAD patients. |
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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. 患者年龄18-80 岁,性别不限; |
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Inclusion criteria |
1. Eligible patients aged between 18 and 80, regardless of gender; |
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排除标准: |
1. 既往有脑出血史; |
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Exclusion criteria: |
1. History of intracerebral hemorrhage; |
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研究实施时间: Study execute time: |
从 From 2025-04-07 00:00:00至 To 2027-12-31 00:00:00 |
征募观察对象时间: Recruiting time: |
从From 2025-04-07 00:00:00 至 To 2027-12-31 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 |
No |
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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: |
本临床试验采用电子数据采集系统(EDC)收集病例报告表数据。数据管理员根据临床试验方案设计病例报告表(CRF),包括研究流程、数据表单名称及其收集的数据项;由数据库程序员根据CRF 来构建电子病例报告表(eCRF),搭建EDC 数据库。由数据管理员撰写eCRF 填写指南。 |
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Data collection and Management (A standard data collection and management system include a CRF and an electronic data capture: |
An electronic data capture system (EDC) was used to collect case report form data in this clinical trial. The data manager designs the case report form (CRF) according to the clinical trial protocol, including the study process, name of data form and collected data items; the database programmer constructs the electronic case report form (eCRF) according to the CRF and builds the EDC database. The eCRF completion guidelines were prepared by the data manager. |
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数据与安全监察委员会: Data and Safety Monitoring Committee: |
有/Yes |