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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: |
ChiCTR2100049537 |
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最近更新日期: Date of Last Refreshed on: |
2021-08-02 14:46:22 |
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注册时间: Date of Registration: |
2021-08-02 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CT的深度学习预测局部晚期胸段食管鳞癌的远期生存 |
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Public title: |
Prediction of long-term Survival of locally Advanced Thoracic esophageal squamous Cell carcinoma by CT-based Deep Learning method |
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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CT的深度学习预测局部晚期胸段食管鳞癌的远期生存 |
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Scientific title: |
Prediction of long-term Survival of locally Advanced Thoracic esophageal squamous Cell carcinoma by CT-based Deep Learning method |
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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: |
李晓琴 |
研究负责人: |
李宝生 |
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Applicant: |
Li Xiao-qin |
Study leader: |
Li Bao-sheng |
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申请注册联系人电话: Applicant telephone: |
+8615534384363 |
研究负责人电话: Study leader's telephone: |
+86 17653115505 |
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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: |
chumangl@163.com |
研究负责人电子邮件: Study leader's E-mail: |
bsli@sdfmu.edu.cn |
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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: |
山东省济南市济兖路440号 |
研究负责人通讯地址: |
山东省济南市济兖路440号 |
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Applicant address: |
No.440 Jiyan Road, Jinan City, Shandong Province |
Study leader's address: |
No.440 Jiyan Road, Jinan City, Shandong Province |
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申请注册联系人邮政编码: Applicant postcode: |
250117 |
研究负责人邮政编码: Study leader's postcode: |
250117 |
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申请人所在单位: |
山东第一医科大学附属肿瘤医院 |
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Applicant's institution: |
Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences |
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研究负责人所在单位: |
山东第一医科大学附属肿瘤医院 |
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Affiliation of the Leader: |
Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences |
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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: |
2020-3-1 |
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: |
山东第一医科大学附属肿瘤医院药物临床试验伦理委员会 |
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Name of the ethic committee: |
Ethics Committee of Drug Clinical Trials in Cancer Hospital affiliated to Shandong first Medical University |
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伦理委员会批准日期: Date of approved by ethic committee: |
2020-03-01 00:00:00 |
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伦理委员会联系人: |
山东第一医科大学附属肿瘤医院药物临床试验伦理委员会 |
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Contact Name of the ethic committee: |
Ethics Committee of Drug Clinical Trials in Cancer Hospital affiliated to Shandong first Medical University |
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伦理委员会联系地址: |
山东省济南市槐荫区济兖路440号 |
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Contact Address of the ethic committee: |
440 Jiyan Road, Huaiyin District, Ji'nan, Shandong, China |
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伦理委员会联系人电话: Contact phone of the ethic committee: |
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: |
山东第一医科大学附属肿瘤医院 |
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Primary sponsor: |
Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences |
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研究实施负责(组长)单位地址: |
山东第一医科大学附属肿瘤医院 |
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Primary sponsor's address: |
No.440 Jiyan Road, Jinan City, Shandong 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: |
国家自然科学基金(编号:81530060和81874224)、山东省重点技术研究发展计划(编号:2017CXZC1206)、国家自然科学基金(批准号:81922040)、北京自然科学基金(批准号:7182109)、中国科学院青年创新促进会(批准号:2019136)的资助。 |
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Source(s) of funding: |
This work is supported by National Natural Science Foundation of China (No. 81530060 and No. 81874224), Key Technology Research and Development Program of Shandong (No. 2017CXZC1206), the National Nat |
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Target disease: |
Esophageal cancer |
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Target disease code: |
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研究类型: |
预后研究 |
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Study type: |
Prognosis study |
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研究所处阶段: |
探索性研究/预试验 | ||||||||||||||||||||||
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Study phase: |
0 |
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研究设计: |
非随机对照试验 |
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Study design: |
Non randomized control |
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研究目的: |
对食管癌患者预后的准确评估是临床决策过程的一个重要组成部分。本研究的目的是利用深度学习网络来建立一个综合的食管癌预后模型,用于预测局部晚期胸段食管鳞癌的远期生存. |
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Objectives of Study: |
Accurate evaluation of the prognosis of patients with esophageal cancer is an important part of the clinical decision-making process. The purpose of this study is to use deep learning network to establish a comprehensive prognostic model of esophageal cancer, which can be used to predict the long-term survival of locally advanced thoracic esophageal squamous cell carcinoma. |
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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18-70岁,男女不限;②组织病理学证明的Ⅱ-Ⅳa胸段食管鳞癌(UICC 2002分期);③入选前未行治疗(手术、放化疗) |
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Inclusion criteria |
(1) 18-70 years old, male or female; (2) histopathologically proved Ⅱ-Ⅳa thoracic esophageal squamous cell carcinoma (UICC2002 stage); (3) no treatment (surgery, radiotherapy and chemotherapy) before selection. |
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排除标准: |
①治疗前有远处转移者;②离院或放弃治疗,转入其他医院手术;③临床资料数据不全者。④影像资料不全,图像质量差; |
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Exclusion criteria: |
(1) patients with distant metastasis before treatment; (2) leaving hospital or giving up treatment and transferred to other hospitals for operation; (3) patients with incomplete clinical data. (4) the image data is incomplete and the image quality is poor. |
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研究实施时间: Study execute time: |
从 From 2021-06-10 00:00:00至 To 2023-01-01 00:00:00 |
征募观察对象时间: Recruiting time: |
从From 2021-08-02 00:00:00 至 To 2023-08-02 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): |
不适用 |
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Randomization Procedure (please state who generates the random number sequence and by what method): |
不适用 |
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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 |
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): |
成果发表后 |
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The way of sharing IPD”(include metadata and protocol, If use web-based public database, please provide the url): |
the date after assay published |
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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: |
CRF及医渡云管理系统 |
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Data collection and Management (A standard data collection and management system include a CRF and an electronic data capture: |
CRF and Yidu Cloud Management System |
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数据与安全监察委员会: Data and Safety Monitoring Committee: |
无/No |