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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: |
ChiCTR2000040690 |
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最近更新日期: Date of Last Refreshed on: |
2021-03-22 05:31:43 |
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注册时间: Date of Registration: |
2020-12-08 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: |
头颅CT平扫影像组学模型预测急性脑出血后早期血肿再扩大及预后不良的研究 |
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Public title: |
Prediction of early hematoma enlargement and poor prognosis in patients with acute intracerebral hemorrhage by head CT plain scan |
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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: |
头颅CT平扫影像组学模型预测急性脑出血后早期血肿再扩大及预后不良的研究 |
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Scientific title: |
Prediction of early hematoma enlargement and poor prognosis in patients with acute intracerebral hemorrhage by head CT plain scan |
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研究课题代号(代码): Study subject ID: |
2020FYYX041 |
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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: |
黄子洋 |
研究负责人: |
黄子洋 |
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Applicant: |
Huang Zi-Yang |
Study leader: |
Huang Zi-Yang |
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申请注册联系人电话: Applicant telephone: |
+86 13677644212 |
研究负责人电话: Study leader's telephone: |
+86 13677644212 |
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申请注册联系人传真 : Applicant Fax: |
+86 23 65365104 |
研究负责人传真: Study leader's fax: |
+86 23 65365104 |
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申请注册联系人电子邮件: Applicant E-mail: |
215136405@qq.com |
研究负责人电子邮件: Study leader's E-mail: |
215136405@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: |
重庆市沙坪坝区土湾街道沙滨路10号保利康桥 |
研究负责人通讯地址: |
重庆市沙坪坝区土湾街道沙滨路10号保利康桥 |
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Applicant address: |
10 Shabin Road, Tuwan Street, Shapingba District, Chongqing, China |
Study leader's address: |
10 Shabin Road, Tuwan Street, Shapingba District, Chongqing, China |
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申请注册联系人邮政编码: Applicant postcode: |
400030 |
研究负责人邮政编码: Study leader's postcode: |
400030 |
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申请人所在单位: |
重庆市沙坪坝区人民医院 |
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Applicant's institution: |
Chongqing Shapingba District People's Hospital |
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研究负责人所在单位: |
重庆市沙坪坝区人民医院 |
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Affiliation of the Leader: |
Chongqing Shapingba District People's Hospital |
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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: |
202029 |
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: |
重庆市沙坪坝区人民医院医学伦理委员会 |
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Name of the ethic committee: |
Medical ethics committee of Chongqing Shapingba District People's Hospital |
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伦理委员会批准日期: Date of approved by ethic committee: |
2020-07-01 00:00:00 |
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伦理委员会联系人: |
郭丽丽 |
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Contact Name of the ethic committee: |
guolili |
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伦理委员会联系地址: |
重庆市沙坪坝区小龙坎新街44号 |
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Contact Address of the ethic committee: |
No.44, Xiaolongkan new street, Shapingba District, Chongqing |
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伦理委员会联系人电话: Contact phone of the ethic committee: |
65363525 |
伦理委员会联系人邮箱: Contact email of the ethic committee: |
691450258@qq.com |
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研究实施负责(组长)单位: |
重庆市沙坪坝区人民医院 |
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Primary sponsor: |
Chongqing Shapingba District People's Hospital |
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研究实施负责(组长)单位地址: |
重庆市沙坪坝区小龙坎新街44号 |
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Primary sponsor's address: |
No.44, Xiaolongkan new 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: |
重庆市卫生健康委员会、沙坪坝区人民医院 |
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Source(s) of funding: |
Chongqing Health Committee、Chongqing Shapingba District People's Hospital |
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Target disease: |
cerebral hemorrhage |
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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: |
I期临床试验 | ||||||||||||||||||||||
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Study phase: |
1 |
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研究设计: |
病例研究 |
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Study design: |
Case study |
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研究目的: |
本研究基于急性脑出血患者常规CT平扫影像数据为基础的影像组学方法,构建预测急性脑出血后早期血肿再扩大概率的影像组学预测模型,以便临床医生更好为患者提供切实可行的个性化治疗方案, |
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Objectives of Study: |
In this study, based on the conventional CT image data of patients with acute intracerebral hemorrhage (ICH), this study constructed a prediction model of early hematoma enlargement probability after acute intracerebral hemorrhage (ICH), so that clinicians can better provide patients with practical individualized treatment plans, |
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药物成份或治疗方案详述: |
本课题研究将通过收集大量急性脑出血后早期血肿再扩大患者的CT平扫数据,人工勾划急性脑出血区为ROI,并以患者早期是否血肿扩大为机器学习的有监督学习的标签,建立预测急性脑出血后早期血肿再扩大风险的模型。 |
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Description for medicine or protocol of treatment in detail: |
In this study, we will collect a large number of CT scan data of patients with early hematoma re expansion after acute cerebral hemorrhage, manually delineate the area of acute cerebral hemorrhage as ROI, and set up a model to predict the risk of early hematoma re expansion after acute cerebral hemorrhage with the label of supervised learning of machine learning |
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纳入标准: |
(1)患者既往无其它神经系统重大疾病。 |
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Inclusion criteria |
(1) The patient had no other major neurological diseases. |
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排除标准: |
脑动静脉畸形、动脉瘤、血液病、梗死后出血、脑淀粉样血管病、烟雾病、脑动脉炎、抗凝或溶栓治疗、瘤卒中等引起的脑出血将被排除在外。 |
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Exclusion criteria: |
Cerebral hemorrhage caused by cerebral arteriovenous malformations, aneurysms, hematologic diseases, post infarction hemorrhage, cerebral amyloid angiopathy, moyamoya disease, cerebral arteritis, anticoagulant or thrombolytic therapy, and moderate tumor stroke will be excluded. |
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研究实施时间: Study execute time: |
从 From 2020-12-10 00:00:00至 To 2022-08-31 00:00:00 |
征募观察对象时间: Recruiting time: |
从From 2020-12-17 00:00:00 至 To 2021-07-30 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): |
本课题研究将通过收集大量急性脑出血后早期血肿再扩大患者的CT平扫数据,人工勾划急性脑出血区为ROI,并以患者早期是否血肿扩大为机器学习的有监督学习的标签,建立预测急性脑出血后早期血肿再扩大风险的模型, |
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Randomization Procedure (please state who generates the random number sequence and by what method): |
In this study, we will collect a large number of CT scan data of patients with early hematoma re expansion after acute cerebral hemorrhage, manually delineate the area of acute cerebral hemorrhage as ROI, and take whether the early hematoma expansion of patients is the label of supervised learning of |
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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: |
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Blinding: |
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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 |
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): |
万方数据库 |
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The way of sharing IPD”(include metadata and protocol, If use web-based public database, please provide the url): |
Wanfang database |
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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 acquisition and management system |
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数据与安全监察委员会: Data and Safety Monitoring Committee: |
有/Yes |