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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: |
ChiCTR2600116616 |
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最近更新日期: Date of Last Refreshed on: |
2026-01-13 09:17:46 |
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注册时间: Date of Registration: |
2026-01-13 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: |
AI 辅助预测缺血性脑卒中溶栓后恢复效果 |
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Public title: |
AI-assisted Prediction of Recovery Outcomes After Intravenous Thrombolysis in Ischemic Stroke |
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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: |
基于多模态的深度学习级联模型预测缺血性脑卒中溶栓预后 |
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Scientific title: |
Prediction of Thrombolysis Prognosis in Ischemic Stroke Using a Multimodal Deep Learning Cascaded Model |
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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: |
夏春华 |
研究负责人: |
夏春华 |
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Applicant: |
Chunhua Xia |
Study leader: |
Chunhua Xia |
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申请注册联系人电话: Applicant telephone: |
+86 13956038462 |
研究负责人电话: Study leader's telephone: |
+86 551 62185111 |
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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: |
Xiachunhua3775@sina.com |
研究负责人电子邮件: Study leader's E-mail: |
xiachunhua3775@sina.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: |
中国安徽省合肥市庐阳区淮河路390号 |
研究负责人通讯地址: |
中国安徽省合肥市庐阳区淮河路390号 |
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Applicant address: |
No. 390 Huaihe Road, Luyang District, Hefei, Anhui, China |
Study leader's address: |
No. 390 Huaihe Road, Luyang District, Hefei, Anhui, 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: |
合肥市第一人民医院 |
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Applicant's institution: |
Hefei First People's Hospital |
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研究负责人所在单位: |
合肥市第一人民医院 |
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Affiliation of the Leader: |
Hefei First 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: |
伦研批第2026-005-01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: |
合肥市第一人民医院伦理委员会 |
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Name of the ethic committee: |
Ethics Committee of Hefei First People's hospital |
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伦理委员会批准日期: Date of approved by ethic committee: |
2026-01-12 00:00:00 |
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伦理委员会联系人: |
叶芝 |
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Contact Name of the ethic committee: |
Ye Zhi |
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伦理委员会联系地址: |
中国安徽省合肥市庐阳区淮河路390号 |
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Contact Address of the ethic committee: |
No. 390 Huaihe Road, Luyang District, Hefei, Anhui, China |
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伦理委员会联系人电话: Contact phone of the ethic committee: |
+86 551 62183685 |
伦理委员会联系人邮箱: Contact email of the ethic committee: |
hfyykyc@163.com |
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研究实施负责(组长)单位: |
合肥市第一人民医院 |
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Primary sponsor: |
Hefei First People's Hospital |
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研究实施负责(组长)单位地址: |
中国安徽省合肥市庐阳区淮河路390号 |
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Primary sponsor's address: |
No. 390 Huaihe Road, Luyang District, Hefei, Anhui, 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: |
自筹 |
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Source(s) of funding: |
Self-raised |
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Target disease: |
Acute Ischemic Stroke (AIS) |
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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: |
队列研究 |
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Study design: |
Cohort study |
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研究目的: |
脑卒中作为全球致残致死首要病因,其疾病负担在我国尤为严峻。急性缺血性脑卒中的溶栓治疗预后评估需精准化工具。针对传统模型对多模态动态数据整合不足、预后维度单一的问题,本研究提出一种创新的深度学习架构,旨在实现血管内治疗后功能恢复与安全性的双目标预测 |
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Objectives of Study: |
As the leading cause of disability and death worldwide, stroke imposes an especially severe disease burden in China. The prognostic evaluation of thrombolytic therapy for acute ischemic stroke requires precise tools. To address the limitations of traditional models, such as insufficient integration of multimodal dynamic data and a single prognostic dimension, this study proposes an innovative deep learning architecture aiming to achieve dual-target prediction of functional recovery and safety after endovascular treatment. |
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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.临床确诊为急性缺血性卒中并接受静脉溶栓治疗; 3.发病时间≤24 小时。 |
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Inclusion criteria |
1. Age >=18 years old; 2. Clinically diagnosed acute ischemic stroke and treated with intravenous thrombolysis; 3. Onset time <=24 hours. |
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排除标准: |
1.存在脑出血史、肿瘤史、外伤史或手术史; 2.发病后 7±2 天内未进行随访 CT 检查; 3.临床资料不全或图像伪影影响评估; 4.孕妇或哺乳期妇女 |
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Exclusion criteria: |
1. History of cerebral hemorrhage, tumor, trauma or surgery; 2. No follow-up CT examination within 7±2 days after onset; 3. Evaluation of the effect of incomplete clinical data or image artifacts; 4. Pregnant or lactating women |
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研究实施时间: Study execute time: |
从 From 2026-02-01 00:00:00至 To 2026-12-31 00:00:00 |
征募观察对象时间: Recruiting time: |
从From 2026-03-01 00:00:00 至 To 2026-06-30 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: |
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Blinding: |
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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: |
数据采集和管理包含两部分:①病例记录表:回顾性提取急性缺血性脑卒中溶栓患者的临床病历、影像检查报告、随访评估记录等资料,规范整理为结构化 ,涵盖基线多模态影像信息、临床动态指标及结局数据;②电子采集和管理系统:借助医院临床数据管理平台,对 结构化数据进行电子化录入、完整性校验、分类存储,并通过权限分级管理保障数据安全与可追溯性。 |
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Data collection and Management (A standard data collection and management system include a CRF and an electronic data capture: |
Data collection and management consisted of two parts:① Case report forms (CRFs): Clinical medical records, imaging examination reports, follow-up assessment records, and other data of patients with acute ischemic stroke who received thrombolysis were retrospectively extracted and standardized into a structured format, covering baseline multimodal imaging information, dynamic clinical indicators, and outcome data.② Electronic data collection and management system: With the aid of the hospital’s clinical data management platform, structured data were electronically entered, verified for completeness, and stored in a classified manner. In addition, hierarchical permission management was adopted to ensure data security and traceability. |
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数据与安全监察委员会: Data and Safety Monitoring Committee: |
有/Yes |