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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: |
ChiCTR2500107646 |
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最近更新日期: Date of Last Refreshed on: |
2025-08-15 15:23:44 |
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注册时间: Date of Registration: |
2025-08-15 00:00:00 |
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注册号状态: |
补注册 |
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Registration Status: |
Retrospective registration |
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注册题目: |
肝脏肿瘤登记队列多中心数据库建设及人工智能在肝脏疾病影像诊断中的应用研究 |
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Public title: |
Multi-center Database Construction for Liver Tumor Registry Cohort and the Application of Artificial Intelligence in Liver Disease Imaging Diagnosis |
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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: |
肝脏肿瘤登记队列多中心数据库建设及人工智能在肝脏疾病影像诊断中的应用研究 |
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Scientific title: |
Multi-center Database Construction for Liver Tumor Registry Cohort and the Application of Artificial Intelligence in Liver Disease Imaging Diagnosis |
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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: |
沈哲涵 |
研究负责人: |
严福华 |
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Applicant: |
Zhehan Shen |
Study leader: |
Fuhua Yan |
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申请注册联系人电话: Applicant telephone: |
+86 138 1825 3048 |
研究负责人电话:
Study leader's |
+86 136 6185 0380 |
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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: |
szh8ya48@rjh.com.cn |
研究负责人电子邮件: Study leader's E-mail: |
yfh11655@rjh.com.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: |
上海市黄浦区瑞金二路197号 |
研究负责人通讯地址: |
上海市黄浦区瑞金二路197号 |
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Applicant address: |
No. 197 Rui Jin 2nd Road, Shanghai, China |
Study leader's address: |
No. 197 Rui Jin 2nd Road, Shanghai, 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: |
上海交通大学医学院附属瑞金医院 |
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Applicant's institution: |
Ruijin Hospital, Shanghai Jiaotong University School of Medicine |
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研究负责人所在单位: |
上海交通大学医学院附属瑞金医院 |
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Affiliation of the Leader: |
Ruijin Hospital, Shanghai Jiaotong 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: |
(2024)临伦审第(187)号 |
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: |
上海交通大学医学院附属瑞金医院伦理委员会 |
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Name of the ethic committee: |
Ruijin Hospital Ethics Committee, Shanghai JiaoTong University School of Medicine |
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伦理委员会批准日期: Date of approved by ethic committee: |
2024-11-14 00:00:00 | ||
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伦理委员会联系人: |
赵彦琳 |
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Contact Name of the ethic committee: |
Yanlin Zhao |
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伦理委员会联系地址: |
上海市黄浦区瑞金二路197号 |
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Contact Address of the ethic committee: |
No. 197 Rui Jin 2nd Road, Shanghai, China |
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伦理委员会联系人电话: Contact phone of the ethic committee: |
+86 21 5466 1789 |
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: |
上海交通大学医学院附属瑞金医院 |
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Primary sponsor: |
Ruijin Hospital, Shanghai Jiaotong University School of Medicine |
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研究实施负责(组长)单位地址: |
上海市黄浦区瑞金二路197号 |
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Primary sponsor's address: |
No. 197 Rui Jin 2nd Road, 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: |
上海市医药卫生发展基金会:肝脏MR对比剂检查策略优化设计项目 |
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Source(s) of funding: |
Shanghai Medicine and Health Development Foundation: Liver MRI Contrast Strategy Optimization Project |
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研究疾病: |
肝脏局灶性病变 |
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Target disease: |
Focal Liver Lesions |
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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: |
诊断试验新技术临床试验 | ||||||||||||||||||||||
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Study phase: |
Diagnostic New Technique Clincal Study |
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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: |
本研究分为两个阶段,一、基于课题组前期研发的单中心、多设备、多模态的肝脏局灶性病变自动检测及诊断的人工智能系统,对已研发的智能系统进行前瞻性临床验证。二、基于本研究收集的多中心数据,完善系统的临床应用评价和人机对抗训练,进一步验证和改进该人工智能系统,形成真正可应用于临床的肝脏疾病人工智能影像诊断系统。 |
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Objectives of Study: |
This version uses more active language, clearly stating the objectives of each phase. The project will be executed in two phases: Phase 1: Prospective Clinical Validation. This phase will focus on validating the performance of our pre-existing AI system, which was developed for the automatic detection and diagnosis of focal liver lesions using a single-center, multi-device, multi-modal dataset. Phase 2: Multi-center Refinement and Enhancement. In this phase, we will utilize newly collected multi-center data to improve the system. Key activities include refining its clinical applicability assessment and implementing human-AI competitive training to further validate and enhance its capabilities, transforming it into a robust, clinically applicable AI diagnostic system for liver diseases. |
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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; 2. 超声检查或CT体检筛查发现有肝脏占位性病变; 3. 基线进行肝脏增强CT检查; 4. 在基线CT检查的15天内进行肝脏DCE-MRI和EOB-MRI检查,MR设备场强不低于1.5,T1序列层厚≤5mm,T2序列层厚≤8mm; 5. 有准确、可靠的肝脏病灶金标准结果,包括基线MRI检查后30日内的组织病理学检查或3个月的影像学随访。 |
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Inclusion criteria |
1. Age >= 18 years. 2. Presence of a hepatic space-occupying lesion (or liver mass) detected by ultrasound examination or screening computed tomography (CT). 3. Underwent a baseline contrast-enhanced CT (CECT) scan of the liver. 4. Underwent hepatic Dynamic Contrast-Enhanced MRI (DCE-MRI) and EOB-MRI scans within 15 days of the baseline CT. The MR system must have a field strength of at least 1.5 Tesla (T), with a slice thickness of <= 5 mm for T1-weighted sequences and <= 8 mm for T2-weighted sequences. 5. Availability of an accurate and reliable gold standard for the liver lesion, defined as either histopathological examination within 30 days of the baseline MRI or imaging follow-up for at least 3 months. |
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排除标准: |
符合以下任一条标准的对象将排除于本研究: 患者: 1. 既往接受过针对肝脏局灶性病变的治疗; 2. 肝脏CT、MR检查图像质量差(如:严重运动伪影致无法评估病灶); 3. 组织病理学检查或基线后影像学随访不足以明确肝脏局灶性病变诊断; 4. 肝脏炎症性病变患者。 |
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Exclusion criteria: |
Subjects will be excluded from this study if they meet any of the following criteria: 1. Prior treatment specifically targeting the focal liver lesion(s). 2. Poor quality of liver CT or MRI images, such as those with severe motion artifacts that preclude lesion assessment. 3. Inconclusive or indeterminate diagnosis of the focal liver lesion(s) based on histopathological examination or post-baseline imaging follow-up. 4. Patients with inflammatory liver lesions. |
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研究实施时间: Study execute time: |
从 From 2024-11-14 00:00:00至 To 2028-12-31 00:00:00 |
征募观察对象时间: Recruiting time: |
从 From 2024-11-15 00:00:00 至 To 2028-12-31 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): |
无 |
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Randomization Procedure (please state who generates the random number sequence and by what method): |
NA |
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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: |
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Blinding: |
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是否共享原始数据: IPD sharing |
是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): |
试验完成后通过ResMan(www.medresman.org.cn)共享原始数据 |
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The way of sharing IPD”(include metadata and protocol, If use web-based public database, please provide the url): |
Raw date will be shared after the experiment via ResMan(www.medresman.org.cn) |
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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: |
本研究的数据管理依托LNKMED电子数据采集(EDC)系统完成,不设纸质病例报告表(CRF)。 所有研究数据均由经过统一培训并获得授权的临床研究协调员(CRC),依据原始医疗记录(源文件)直接录入EDC系统。为确保数据质量,数据录入完成后,将执行严格的质量控制(QC)与数据核查流程,以保证其准确性、完整性和一致性。 |
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Data collection and Management (A standard data collection and management system include a CRF and an electronic data capture: |
Data management for this study will be conducted using the LNKMED Electronic Data Capture (EDC) system, and no paper Case Report Forms (CRFs) will be used. All study data will be entered directly into the EDC system by trained and authorized Clinical Research Coordinators (CRCs) based on original medical records (source documents). To ensure data quality, a rigorous quality control (QC) and data verification process will be implemented upon completion of data entry to guarantee the accuracy, completeness, and consistency of the data. |
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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 |