|
注册号: Registration number: |
ChiCTR2400088472 |
|
最近更新日期: Date of Last Refreshed on: |
2025-01-08 17:39:43 |
|
注册时间: Date of Registration: |
2024-08-20 00:00:00 |
|
注册号状态: |
预注册 |
|
Registration Status: |
Prospective registration |
|
注册题目: |
结合深度学习实现急性主动脉综合征在非对比 CT 中检测的观察性诊断试验研究 |
|
Public title: |
An observational diagnostic test study combining deep learning to realize the detection of acute aortic syndrome in non-contrast CT |
|
注册题目简写: |
|
|
English Acronym: |
|
|
研究课题的正式科学名称: |
结合深度学习实现急性主动脉综合征在非对比 CT 中检测的观察性诊断试验研究 |
|
Scientific title: |
An observational diagnostic test study combining deep learning to realize the detection of acute aortic syndrome in non-contrast CT |
|
研究课题代号(代码): Study subject ID: |
|
|
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: |
|
申请注册联系人: |
胡毓健 |
研究负责人: |
张鸿坤 |
|
Applicant: |
Yujian Hu |
Study leader: |
Hongkun Zhang |
|
申请注册联系人电话: Applicant telephone: |
+86 188 8892 6482 |
研究负责人电话:
Study leader's |
+86 135 8823 0962 |
|
申请注册联系人传真 : Applicant Fax: |
研究负责人传真: Study leader's fax: |
||
|
申请注册联系人电子邮件: Applicant E-mail: |
huyujian@zju.edu.cn |
研究负责人电子邮件: Study leader's E-mail: |
1198050@zju.edu.cn |
|
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): |
||
|
申请注册联系人通讯地址: |
杭州市上城区庆春路79号 |
研究负责人通讯地址: |
杭州市上城区庆春路79号 |
|
Applicant address: |
79 Qingchun Rd., Shangcheng District, Hangzhou |
Study leader's address: |
79 Qingchun Rd., Shangcheng District, Hangzhou |
|
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: |
||
|
申请人所在单位: |
浙江大学医学院附属第一医院 |
||
|
Applicant's institution: |
The First Affiliated Hospital of Zhejiang University School of Medicine |
||
|
研究负责人所在单位: |
浙江大学医学院附属第一医院 |
||
|
Affiliation of the Leader: |
The First Affiliated Hospital of Zhejiang University School of Medicine |
||
|
是否获伦理委员会批准: |
是 |
||
|
Approved by ethic committee: |
Yes |
||
|
伦理委员会批件文号: Approved No. of ethic committee: |
浙大一院伦审2024研第0888号-快 |
伦理委员会批件附件: Approved file of Ethical Committee: |
查看附件View |
|
批准本研究的伦理委员会名称: |
浙江大学医学院附属第一医院IIT伦理审查委员会 |
||
|
Name of the ethic committee: |
Ethics Committee of the First Affiliated Hospital, Zhejiang University School of Medicine |
||
|
伦理委员会批准日期: Date of approved by ethic committee: |
2024-08-14 00:00:00 | ||
|
伦理委员会联系人: |
殷琳 |
||
|
Contact Name of the ethic committee: |
Lin Yin |
||
|
伦理委员会联系地址: |
杭州市上城区庆春路79号 |
||
|
Contact Address of the ethic committee: |
79 Qingchun Rd., Shangcheng District, Hangzhou |
||
|
伦理委员会联系人电话: Contact phone of the ethic committee: |
+86 87231830 |
伦理委员会联系人邮箱: Contact email of the ethic committee: |
|
|
研究实施负责(组长)单位: |
浙江大学医学院附属第一医院 |
||||||||||||||||||||||
|
Primary sponsor: |
The First Affiliated Hospital of Zhejiang University School of Medicine |
||||||||||||||||||||||
|
研究实施负责(组长)单位地址: |
杭州市上城区庆春路79号 |
||||||||||||||||||||||
|
Primary sponsor's address: |
79 Qingchun Rd., Shangcheng District, Hangzhou |
||||||||||||||||||||||
|
试验主办单位(项目批准或申办者): Secondary sponsor: |
|
||||||||||||||||||||||
|
经费或物资来源: |
浙江省“尖兵”研发攻关计划(2024C03023) |
||||||||||||||||||||||
|
Source(s) of funding: |
the Technical Innovation key project of Zhejiang Province (grant no. 2024C03023). |
||||||||||||||||||||||
|
研究疾病: |
急性主动脉综合征 |
||||||||||||||||||||||
|
Target disease: |
Acute Aortic Syndrome |
||||||||||||||||||||||
|
研究疾病代码: |
|
||||||||||||||||||||||
|
Target disease code: |
|
||||||||||||||||||||||
|
研究类型: |
诊断试验 |
||||||||||||||||||||||
|
Study type: |
Diagnostic test |
||||||||||||||||||||||
|
研究所处阶段: |
诊断试验新技术临床试验 | ||||||||||||||||||||||
|
Study phase: |
Diagnostic New Technique Clincal Study |
||||||||||||||||||||||
|
研究设计: |
诊断试验诊断准确性 |
||||||||||||||||||||||
|
Study design: |
Diagnostic test for accuracy |
||||||||||||||||||||||
|
研究目的: |
针对急性主动脉综合征所具有的发病急、致死率高、病变特征复杂隐匿的疾病特点与以CTA为主的临床诊断检验手段在一定情况下存在缺陷的临床现状,研究急性主动脉综合征智能化预警系统,形成创新性理论和模型算法的研究成果,建立急性主动脉综合征发生发展的智能预警体系,并开展临床服务和验证应用。 |
||||||||||||||||||||||
|
Objectives of Study: |
Aimed at the onset of acute aortic syndrome has acute and fatality rate is high, the lesion characteristics of complex hidden disease characteristics and clinical diagnosis is given priority to with CTA test means in certain cases, defects in clinical situation, study of acute aortic syndrome intelligent warning system, forming innovative theory and research results of model algorithm, To establish an intelligent early warning system for the occurrence and development of acute aortic syndrome, and carry out clinical services and verification applications. |
||||||||||||||||||||||
|
药物成份或治疗方案详述: |
|
||||||||||||||||||||||
|
Description for medicine or protocol of treatment in detail: |
|
||||||||||||||||||||||
|
纳入标准: |
|||||||||||||||||||||||
|
Inclusion criteria |
|||||||||||||||||||||||
|
排除标准: |
1.初始怀疑为急性主动脉综合征;2.没有进行包含主动脉区域的CT检查;3.CT图像质量差。 |
||||||||||||||||||||||
|
Exclusion criteria: |
1. Initial suspicion of acute aortic syndrome; 2. No CT scan involving the aortic region was performed; 3. Poor CT image quality. |
||||||||||||||||||||||
|
研究实施时间: Study execute time: |
从 From 2024-08-20 00:00:00至 To 2024-12-20 00:00:00 |
征募观察对象时间: Recruiting time: |
从 From 2024-08-20 00:00:00 至 To 2024-11-20 00:00:00 |
|
诊断试验: Diagnostic Tests: |
|
||||||||||||||||||||||||||||
|
研究实施地点: Countries of recruitment and research settings: |
|
||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|
测量指标: Outcomes: |
|
|
采集人体标本:
Collecting sample(s)
|
|
|
征募研究对象情况: Recruiting status: |
正在进行 Recruiting |
年龄范围: Participant age: |
|
||||||
|
性别: |
男女均可 |
Gender: |
Both |
||||||
|
随机方法(请说明由何人用什么方法产生随机序列): |
无 |
||||||||
|
Randomization Procedure (please state who generates the random number sequence and by what method): |
none |
||||||||
|
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 |
|
盲法: |
|
|
Blinding: |
|
|
试验完成后的统计结果(上传文件): |
|
|
Calculated Results after
|
|
|
是否共享原始数据: IPD sharing |
否No |
|
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): |
发表论文后 |
|
The way of sharing IPD”(include metadata and protocol, If use web-based public database, please provide the url): |
After publishing of the paper |
|
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: |
采用病例记录表采集数据,使用excel表管理数据 |
|
Data collection and Management (A standard data collection and management system include a CRF and an electronic data capture: |
Case Record Form and EXCEL |
|
数据与安全监察委员会: Data and Safety Monitoring Committee: |
有/Yes |