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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: |
ChiCTR2500097722 |
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最近更新日期: Date of Last Refreshed on: |
2025-02-25 09:27:50 |
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注册时间: Date of Registration: |
2025-02-25 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: |
基于深度学习的多模态融合模型预测卒中患者90天mRS评分的临床研究 |
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Public title: |
Clinical Study on Predicting 90-Day mRS Scores in Stroke Patients Using a Deep Learning-Based Multimodal Fusion Model |
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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: |
基于深度学习的多模态融合模型预测卒中患者90天mRS评分的临床研究 |
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Scientific title: |
Clinical Study on Predicting 90-Day mRS Scores in Stroke Patients Using a Deep Learning-Based Multimodal Fusion Model |
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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: |
余帅 |
研究负责人: |
余帅 |
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Applicant: |
Shuai Yu |
Study leader: |
Shuai Yu |
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申请注册联系人电话: Applicant telephone: |
+86 187 6143 0920 |
研究负责人电话:
Study leader's |
+86 187 6143 0920 |
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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: |
451567858@qq.com |
研究负责人电子邮件: Study leader's E-mail: |
451567858@qq.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: |
江苏省徐州市泉山区煤建路32号 |
研究负责人通讯地址: |
江苏省徐州市泉山区煤建路32号 |
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Applicant address: |
No. 32, Meijian Road, Quanshan District, Xuzhou City, Jiangsu Province |
Study leader's address: |
No. 32, Meijian Road, Quanshan District, Xuzhou City, Jiangsu 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: |
徐州矿务集团总医院 |
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Applicant's institution: |
General Hospital of Xuzhou Mining Group |
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研究负责人所在单位: |
徐州矿务集团总医院 |
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Affiliation of the Leader: |
General Hospital of Xuzhou Mining Group |
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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: |
[2025]0219 |
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: |
徐州矿物集团总医院生物医学研究伦理委员会 |
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Name of the ethic committee: |
Biomedical Research Ethics Committee of Xuzhou Mineral Resources Group General Hospital |
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伦理委员会批准日期: Date of approved by ethic committee: |
2025-02-19 00:00:00 | ||
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伦理委员会联系人: |
陈方石 |
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Contact Name of the ethic committee: |
Fangshi Chen |
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伦理委员会联系地址: |
江苏省徐州市泉山区煤建路32号8号楼2楼 |
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Contact Address of the ethic committee: |
2nd Floor, Building 8, No. 32, Meijian Road, Quanshan District, Xuzhou City, Jiangsu Province |
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伦理委员会联系人电话: Contact phone of the ethic committee: |
+86 516 8532 6137 |
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: |
徐州矿务集团总医院 |
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Primary sponsor: |
General Hospital of Xuzhou Mining Group |
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研究实施负责(组长)单位地址: |
江苏省徐州市泉山区煤建路32号 |
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Primary sponsor's address: |
No. 32, Meijian Road, Quanshan District, Xuzhou City, Jiangsu 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: |
徐州医科大学同力申硕学员二阶段经费 |
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Source(s) of funding: |
Xuzhou Medical University Tonglishen Master's students' second phase funding |
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研究疾病: |
脑血管病 |
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Target disease: |
Cerebral small vessel 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: |
连续入组 |
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Study design: |
Sequential |
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研究目的: |
本研究旨在开发并评估一种基于深度学习的融合预测模型,该模型结合了卒中后医学影像以及急性卒中期常规获取的临床变量,用于预测长期临床结局指标90天mRS评分(范围从0分(无残疾)到6分(死亡))。 |
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Objectives of Study: |
The aim of this study is to develop and evaluate a deep learning based fusion prediction model that combines post-stroke medical imaging with routine acquisition of clinical variables during acute stroke, for predicting long-term clinical outcome measures such as 90 day mRS scores (ranging from 0 (no disability) to 6 (death)). |
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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)患者年龄在18岁及以上; 2)急性<=24小时以内; 3)各模态影像和临床数据完整且满足诊断要求。 |
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Inclusion criteria |
1.Patients aged 18 and above; 2.Acute<= 24 hours; 3.All modal imaging and clinical data are complete and meet diagnostic requirements. |
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排除标准: |
1)患者影像显示存在颅内出血; 2)患者影像存在严重的运动伪影、金属伪影、植入物等影响判读的情况; 3)患者影像显示颅内存在肿瘤、囊肿等占位性病变; 4)患者影像显示颅脑组织存在由手术、外伤等引起的缺陷。 |
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Exclusion criteria: |
1.The patient's imaging shows intracranial hemorrhage; 2.There are serious motion artifacts, metal artifacts, implants, and other factors that affect the interpretation of patient images; 3.The patient's imaging shows the presence of intracranial tumors, cysts, and other space occupying lesions; 4.The patient's imaging shows defects in the cranial tissue caused by surgery, trauma, etc. |
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研究实施时间: Study execute time: |
从 From 2025-03-01 00:00:00至 To 2025-12-31 00:00:00 |
征募观察对象时间: Recruiting time: |
从 From 2025-03-01 00:00:00 至 To 2025-10-31 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: |
公开/Public |
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盲法: |
无 |
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Blinding: |
None |
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试验完成后的统计结果(上传文件): |
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Calculated Results after
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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): |
NA |
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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: |
本试验原始数据为影像或病史记录,均来源于医院的数据管理系统。 |
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Data collection and Management (A standard data collection and management system include a CRF and an electronic data capture: |
The raw data for this trial, comprising imaging or medical history records, were all sourced from the hospital's data management system. |
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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 |