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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: |
ChiCTR2300078370 |
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最近更新日期: Date of Last Refreshed on: |
2023-12-06 16:26:43 |
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注册时间: Date of Registration: |
2023-12-06 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: |
基于影像组学的急性肺栓塞预后风险预测模型的构建与验证 |
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Public title: |
Construction and validation of a prognostic risk prediction model for acute pulmonary embolism based on radiomics |
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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: |
基于影像组学的急性肺栓塞预后风险预测模型的构建与验证 |
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Scientific title: |
Construction and validation of a prognostic risk prediction model for acute pulmonary embolism based on radiomics |
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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: |
李元歌 |
研究负责人: |
李元歌 |
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Applicant: |
LI Yuange |
Study leader: |
LI Yuange |
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申请注册联系人电话: Applicant telephone: |
+86 136 9238 0351 |
研究负责人电话:
Study leader's |
+86 136 9238 0351 |
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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: |
745136256@qq.com |
研究负责人电子邮件: Study leader's E-mail: |
745136256@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: |
中国广东省湛江市霞山区人民大道南57号广东医科大学附属医院放射科 |
研究负责人通讯地址: |
中国广东省湛江市霞山区人民大道南57号广东医科大学附属医院放射科 |
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Applicant address: |
Department of Radiology,Affiliated Hospital of Guangdong Medical University, 57 South Renming Rd.,Xiashan District, Zhanjiang, Guangdong Province,524001, China |
Study leader's address: |
Department of Radiology,Affiliated Hospital of Guangdong Medical University, 57 South Renming Rd.,Xiashan District, Zhanjiang, Guangdong Province,524001, 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: |
广东医科大学附属医院 |
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Applicant's institution: |
Affiliated Hospital of Guangdong Medical University |
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研究负责人所在单位: |
广东医科大学附属医院 |
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Affiliation of the Leader: |
Affiliated Hospital of Guangdong Medical University |
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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: |
PJKT2023-069 |
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: |
广东医科大学附属医院临床科研伦理委员会 |
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Name of the ethic committee: |
Clinical Research Ethics Committee,Affiliated Hospital of Guangdong Medical University |
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伦理委员会批准日期: Date of approved by ethic committee: |
2023-06-15 00:00:00 | ||
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伦理委员会联系人: |
王健丽 |
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Contact Name of the ethic committee: |
Wang Jianli |
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伦理委员会联系地址: |
中国广东省湛江市霞山区人民大道南57号广东医科大学附属医院 |
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Contact Address of the ethic committee: |
Affiliated Hospital of Guangdong Medical University, 57 South Renming Rd.,Xiashan District, Zhanjiang, Guangdong Province,524001, China |
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伦理委员会联系人电话: Contact phone of the ethic committee: |
+86 759 238 6971 |
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: |
广东医科大学附属医院 |
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Primary sponsor: |
Affiliated Hospital of Guangdong Medical University |
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研究实施负责(组长)单位地址: |
中国广东省湛江市霞山区人民大道南57号广东医科大学附属医院放射科 |
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Primary sponsor's address: |
Department of Radiology,Affiliated Hospital of Guangdong Medical University, 57 South Renming Rd.,Xiashan District, Zhanjiang, Guangdong Province,524001, 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: |
广东医科大学附属医院临床研究项目 |
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Source(s) of funding: |
Clinical research project of Affiliated Hospital of Guangdong Medical University |
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研究疾病: |
急性肺栓塞 |
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Target disease: |
acute pulmonary embolism |
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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: |
本研究旨在利用双能量CT对急性肺栓塞患者进行CTPA及DEPI扫描,从中提取肺栓塞的定性及定量特征,再结合患者基本资料、实验室标志物、临床危险分层及治疗方法,应用7种机器学习算法(包含Logistic回归(LR)、支持向量机(SVM)、决策树(DT)、随机森林(RF),随机梯度下降(SGD),线性判别分析(LDA)、k-最近邻算法(KNN))构建多种预后风险预测模型,应用十折交叉法进行内部验证,筛选出最优预测模型并进行外部验证,在治疗前对急性肺栓塞患者的预后风险进行准确预测评估,为制定更加合理的临床治疗方案提供新的依据。 |
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Objectives of Study: |
The aim of this study is to use dual-energy CT to perform CTPA and DEPI scans in patients with acute pulmonary embolism, extract qualitative and quantitative features of pulmonary embolism, and combine the basic data of patients, laboratory markers, clinical risk stratification and treatment methods. Seven machine learning algorithms (including Logistic regression (LR), support vector machine (SVM), decision tree (DT), random forest (RF), stochastic gradient descent (SGD), linear discriminant analysis (LDA), k-nearest neighbor algorithm (KNN)) were used to construct a variety of prognostic risk prediction models, and the ten-fold cross method was used for internal verification. To screen out the optimal prediction model and externally validate it, and to accurately predict and evaluate the prognosis risk of patients with acute pulmonary embolism before treatment, so as to provide a new basis for formulating more reasonable clinical treatment plans. |
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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)年龄>18岁、性别及种族不限; (2)根据2019年欧洲心脏病学会急性肺栓塞诊治指南,确诊的急性肺血栓栓塞; (3)同意签知情同意书者。 |
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Inclusion criteria |
(1) Age > 18 years old, gender and race were not limited; (2) Acute pulmonary thromboembolism diagnosed according to the 2019 European Society of Cardiology guidelines for the diagnosis and treatment of acute pulmonary embolism ; (3)Those who agree to sign the informed consent form. |
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排除标准: |
(1) 所需资料不完整; (2) 影像图像质量不能满足诊断的; (3) 严重肺部实变;充血性心力衰竭和心肌梗死阳性病史,提示心脏储备功能受损;慢性阻塞性肺疾病阳性病史,提示呼吸储备功能受损; (4)除了肺血栓栓塞外的其他类型肺栓塞,如肿瘤栓塞、羊水栓塞、脂肪栓塞及空气栓塞等; (5) 正在参加其他药物临床试验项目,或停止时间小于3个月; (6) 患者不能配合本项目的相关检查,不同意签知情同意书者。 |
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Exclusion criteria: |
(1) Incomplete information; (2) The image quality can not meet the diagnosis; (3) Severe pulmonary consolidation; A positive history of congestive heart failure and myocardial infarction indicated impaired cardiac reserve function. A positive history of chronic obstructive pulmonary disease, indicating impaired respiratory reserve function; (4) Other types of pulmonary embolism other than pulmonary thromboembolism, such as tumor embolism, amniotic fluid embolism, fat embolism and air embolism; (5) Participating in other drug clinical trials, or stopping time is less than 3 months; (6) Patients who cannot cooperate with the relevant examination of this project and do not agree to sign the informed consent form. |
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研究实施时间: Study execute time: |
从 From 2024-01-01 00:00:00至 To 2028-12-31 00:00:00 |
征募观察对象时间: Recruiting time: |
从 From 2024-01-01 00:00:00 至 To 2028-12-31 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: |
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 |
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): |
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 |
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Data collection and Management (A standard data collection and management system include a CRF and an electronic data capture: |
Case Record Form, CRF |
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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 |