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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: |
ChiCTR2500098936 |
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最近更新日期: Date of Last Refreshed on: |
2025-03-17 09:38:20 |
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注册时间: Date of Registration: |
2025-03-17 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: |
基于多模态深度学习的自动化眼底疾病治疗决策生成方法 |
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Public title: |
Automatic fundus disease treatment decision generation method based on multimodal deep learning |
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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: |
基于多模态深度学习的自动化眼底疾病治疗决策生成方法 |
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Scientific title: |
Automatic fundus disease treatment decision generation method based on multimodal deep learning |
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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: |
祁媛媛 |
研究负责人: |
祁媛媛 |
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Applicant: |
Qi Yuanyuan |
Study leader: |
Yuanyuan Qi |
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申请注册联系人电话: Applicant telephone: |
+86 18141159150 |
研究负责人电话: Study leader's telephone: |
+86 411 86525411 |
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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: |
greatdalian@163.com |
研究负责人电子邮件: Study leader's E-mail: |
greatdalian@163.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: |
辽宁省大连市甘井子区千山路40号 |
研究负责人通讯地址: |
辽宁省大连市甘井子区千山路40号 |
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Applicant address: |
NO.40 Qianshan Road, Ganjingzi District, Dalian City, Liaoning Province, China |
Study leader's address: |
NO.40 Qianshan Road, Ganjingzi District, Dalian City, Liaoning Province, 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: |
大连市第三人民医院 |
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Applicant's institution: |
Dalian Third People's Hospital |
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研究负责人所在单位: |
大连市第三人民医院 |
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Affiliation of the Leader: |
Dalian Third 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: |
2025-002-001 |
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: |
大连市第三人民医院伦理委员会 |
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Name of the ethic committee: |
Ethics Committee of Dalian Third People's Hospital |
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伦理委员会批准日期: Date of approved by ethic committee: |
2025-01-09 00:00:00 |
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伦理委员会联系人: |
吕一品 |
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Contact Name of the ethic committee: |
Lv Yipin |
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伦理委员会联系地址: |
辽宁省大连市甘井子区千山路40号 |
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Contact Address of the ethic committee: |
NO.40 Qianshan Road, Ganjingzi District, Dalian City, Liaoning Province, China |
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伦理委员会联系人电话: Contact phone of the ethic committee: |
+86 411 84951838 |
伦理委员会联系人邮箱: Contact email of the ethic committee: |
lyp6437@126.com |
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研究实施负责(组长)单位: |
大连市第三人民医院 |
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Primary sponsor: |
Dalian Third People's Hospital |
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研究实施负责(组长)单位地址: |
辽宁省大连市甘井子区千山路40号 |
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Primary sponsor's address: |
NO.40 Qianshan Road, Ganjingzi District, Dalian City, Liaoning Province, 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: |
自选课题(自筹) |
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Source(s) of funding: |
Self-selected project (self-funded) |
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Target disease: |
Various diseases such as diabetic retinopathy, retinal vein occlusion, age-related macular degeneration, choroidal neovascularization, retinal holes, retinal detachment, epiretinal membrane, and macular holes. |
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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: |
横断面 |
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Study design: |
Cross-sectional |
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研究目的: |
通过收集眼底OCT、眼底照相等医学诊断影像,以及专家对疾病的诊断、分析结果和治疗建议构建多模态训练数据。通过计算机视觉相关技术提取疾病图像特征,构建其与诊断治疗意见的潜在联系,从而实现一种根据医学诊断影像自动生成诊断治疗意见的多模态快速诊疗方法。此方法将通过对未知数据的模拟分析,验证其对眼底疾病自动化诊断及治疗决策生成的准确性。同时,该方法也将被嵌入到网络服务平台中,形成自动化眼底影像诊断分析平台,为患者提供便捷准确的诊疗服务。 |
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Objectives of Study: |
Multi-modal training data is constructed by collecting fundus OCT, fundus photography and other medical diagnostic images, as well as experts' diagnosis of diseases, analysis results and treatment recommendations. By using computer vision related technology to extract the features of disease images and construct the potential relationship between them and diagnosis and treatment opinions, a multi-modal rapid diagnosis and treatment method can be realized by automatically generating diagnosis and treatment opinions based on medical diagnosis images. This method will verify the accuracy of automatic diagnosis and treatment decision generation of fundus diseases through simulation analysis of unknown data. At the same time, the method will also be embedded in the network service platform to form an automated fundus image diagnosis and analysis platform to provide patients with convenient and accurate diagnosis and treatment services. |
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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.有明确诊断的各类眼底疾病患者,如糖尿病性视网膜病变、视网膜静脉阻塞、年龄相关性黄斑变性、脉络膜新生血管、视网膜脱离、黄斑前膜、黄斑裂孔等。 |
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Inclusion criteria |
1.Patients with definitively diagnosed various retinal diseases, such as diabetic retinopathy, retinal vein occlusion, age-related macular degeneration, choroidal neovascularization, retinal detachment, epiretinal membrane, and macular holes. |
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排除标准: |
1.屈光介质明显混浊导致眼底检查图像质量不清晰者(如严重白内障、视网膜浓厚出血等)。 |
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Exclusion criteria: |
1.Individuals with significant opacity of the refractive media resulting in unclear fundus examination images, such as those with severe cataracts or dense retinal hemorrhages. |
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研究实施时间: Study execute time: |
从 From 2025-04-01 00:00:00至 To 2027-03-31 00:00:00 |
征募观察对象时间: Recruiting time: |
从From 2025-04-01 00:00:00 至 To 2027-03-31 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: |
不公开/Private |
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盲法: |
无 |
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Blinding: |
None |
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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): |
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: |
CRF |
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数据与安全监察委员会: Data and Safety Monitoring Committee: |
无/No |