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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: |
ChiCTR2000035869 |
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最近更新日期: Date of Last Refreshed on: |
2020-08-19 01:03:00 |
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注册时间: Date of Registration: |
2020-08-19 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: |
基于超声影像的颈动脉智能分割与易损斑块识别研究 |
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Public title: |
Research on Intelligent Carotid Artery Segmentation and Vulnerable Plaque Recognition Based on Ultrasound Image |
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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: |
基于超声影像的颈动脉智能分割与易损斑块识别研究 |
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Scientific title: |
Research on Intelligent Carotid Artery Segmentation and Vulnerable Plaque Recognition Based on Ultrasound Image |
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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: |
李朝军 |
研究负责人: |
李朝军 |
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Applicant: |
Zhaojun Li |
Study leader: |
Zhaojun Li |
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申请注册联系人电话: Applicant telephone: |
+86 21 37798276 |
研究负责人电话:
Study leader's |
+86 21 37798276 |
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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: |
lzj_1975@sina.com |
研究负责人电子邮件: Study leader's E-mail: |
lzj_1975@sina.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: |
上海市虹口区海宁路100号 |
研究负责人通讯地址: |
上海市虹口区海宁路100号 |
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Applicant address: |
100 Hai'ning Road, Hongkou District, Shanghai, China |
Study leader's address: |
100 Hai'ning Road, Hongkou District, Shanghai, China |
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申请注册联系人邮政编码: Applicant postcode: |
200080 |
研究负责人邮政编码: Study leader's postcode: |
200080 |
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申请人所在单位: |
上海交通大学附属第一人民医院 |
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Applicant's institution: |
Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine |
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研究负责人所在单位: |
上海交通大学附属第一人民医院 |
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Affiliation of the Leader: |
Shanghai General Hospital, Shanghai Jiao Tong University School of 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: |
2019KY009-4 |
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: |
上海市第一人民医院医学伦理委员会 |
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Name of the ethic committee: |
Medical Ethics Committee of Shanghai First People's Hospital |
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伦理委员会批准日期: Date of approved by ethic committee: |
2019-07-10 00:00:00 | ||
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伦理委员会联系人: |
江一峰 |
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Contact Name of the ethic committee: |
Yifeng Jiang |
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伦理委员会联系地址: |
上海市虹口区海宁路100号上海第一人民医院行政楼317室 |
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Contact Address of the ethic committee: |
Room 317, Administrative Building, Shanghai General Hospital, 100 Hai'ning Road, Hongkou District, Shanghai, China |
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伦理委员会联系人电话: Contact phone of the ethic committee: |
+86 21 37798276 |
伦理委员会联系人邮箱: Contact email of the ethic committee: |
lzj_1975@sina.com |
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研究实施负责(组长)单位: |
上海交通大学附属第一人民医院 |
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Primary sponsor: |
Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine |
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研究实施负责(组长)单位地址: |
上海市虹口区海宁路100号 |
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Primary sponsor's address: |
100 Hai'ning Road, Hongkou District, Shanghai, 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: |
上海市2020年度“科技创新行动计划”临床医学领域项目 |
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Source(s) of funding: |
Shanghai 2020 |
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研究疾病: |
脑卒中 |
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Target disease: |
Stroke |
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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: |
诊断试验 |
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Study type: |
Diagnostic test |
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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: |
针对重大的卫生公共事件、疫情防控、院前急救等特点条件下,定位识别颈动脉评估患者重要生命体征困难的问题展开研究,通过获取颈动脉超声图像序列,分割得到颈动脉血管和斑块的三维模型,获得一系列新的影像数据信息;再结合颈动脉及斑块多模态超声图像辅助诊断;开展前瞻性研究,构建和完善人工智能识别颈动脉系统,缩短评估急危重患者重要生命体征的时间。 |
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Objectives of Study: |
Under the characteristics of major public health events, epidemic prevention and control, pre-hospital first aid, etc., it is difficult to locate and identify the carotid artery to assess the important vital signs of patients. The carotid artery blood vessel and plaque are segmented by acquiring the carotid artery ultrasound image sequence To obtain a series of new image data information; combined with multi-modal ultrasound images of carotid artery and plaque to assist diagnosis; carry out prospective research, construct and improve artificial intelligence to identify the carotid artery system, and shorten the critical life of critically ill patients The time of the signs. |
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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: |
LAA组: |
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Inclusion criteria |
LAA group: |
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排除标准: |
①使用超声造影剂的禁忌症,如不稳定型心绞痛、急性心力衰竭、急性心内膜炎; |
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Exclusion criteria: |
1. Contraindications to the use of ultrasound contrast agents, such as unstable angina, acute heart failure, and acute endocarditis; |
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研究实施时间: Study execute time: |
从 From 2020-10-01 00:00:00至 To 2022-09-30 00:00:00 |
征募观察对象时间: Recruiting time: |
从 From 2020-10-01 00:00:00 至 To 2022-09-30 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: |
正在进行 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): |
N/A |
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Randomization Procedure (please state who generates the random number sequence and by what method): |
N/A |
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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: |
采用双盲法,受试者和超声数据分析人员和统计人员均不知道分组情况。 |
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Blinding: |
With the double-blind method, the subjects, ultrasound data analysts and statisticians do not know the grouping situation. |
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是否共享原始数据: IPD sharing |
否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): |
研究数据将形成论著进行发表 |
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The way of sharing IPD”(include metadata and protocol, If use web-based public database, please provide the url): |
Research data will be published as a treatise |
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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: |
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: |
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 |