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注册号: Registration number: |
ChiCTR2500098112 |
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最近更新日期: Date of Last Refreshed on: |
2025-03-03 14:48:35 |
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注册时间: Date of Registration: |
2025-03-03 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: |
基于深度学习多组学的肺癌新辅助免疫治疗的非获益人群预测系统开发及机制探索 |
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Public title: |
A deep learning multi-omics-based non-beneficiary population prediction system for neoadjuvant immunotherapy in lung cancer developed Development and exploration of mechanisms |
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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: |
基于深度学习多组学的肺癌新辅助免疫治疗的非获益人群预测系统开发及机制探索 |
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Scientific title: |
A deep learning multi-omics-based non-beneficiary population prediction system for neoadjuvant immunotherapy in lung cancer developed Development and exploration of mechanisms |
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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: |
何江波 |
研究负责人: |
刘超愿 |
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Applicant: |
Jiangbo He |
Study leader: |
Chaoyuan Liu |
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申请注册联系人电话: Applicant telephone: |
+86 181 7584 1777 |
研究负责人电话:
Study leader's |
+86 153 8749 1011 |
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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: |
18175841777@163.com |
研究负责人电子邮件: Study leader's E-mail: |
lcyyyxx@csu.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: |
中南大学湘雅二医院 |
研究负责人通讯地址: |
中南大学湘雅二医院 |
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Applicant address: |
Department of Oncology, The Second Xiangya Hospital of Central South University, Changsha, |
Study leader's address: |
Department of Oncology, The Second Xiangya Hospital of Central South University, Changsha, Hunan 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: |
中南大学湘雅二医院 |
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Applicant's institution: |
The Second Xiangya Hospital of Central South University |
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研究负责人所在单位: |
中南大学湘雅二医院 |
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Affiliation of the Leader: |
The Second Xiangya Hospital of Central South University |
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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: |
LYF20240176 |
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: |
中南大学湘雅二医院临床研究伦理委员会 |
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Name of the ethic committee: |
Ethics Committee of Clinical Research, Xiangya Second Hospital, Central South University |
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伦理委员会批准日期: Date of approved by ethic committee: |
2024-06-17 00:00:00 | ||
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伦理委员会联系人: |
胡怡博 |
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Contact Name of the ethic committee: |
Yibo Hu |
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伦理委员会联系地址: |
湖南省长沙市人民中路 139 号 |
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Contact Address of the ethic committee: |
No. 139 Renmin Middle Road, Changsha City, Hunan Province |
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伦理委员会联系人电话: Contact phone of the ethic committee: |
+86 731 8529 2476 |
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: |
中南大学湘雅二医院 |
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Primary sponsor: |
The Second Xiangya Hospital of Central South University, Changsha, |
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研究实施负责(组长)单位地址: |
湖南省长沙市人民中路 139 号 |
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Primary sponsor's address: |
No. 139 Renmin Middle Road, Changsha City, Hunan 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: |
自筹经费 |
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Source(s) of funding: |
Self-raised funds |
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研究疾病: |
肺癌 |
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Target disease: |
lung cancer |
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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: |
观察性研究 |
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Study type: |
Observational study |
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研究所处阶段: |
回顾性研究 | ||||||||||||||||||||||
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Study phase: |
Retrospective 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: |
1.构建包含病理图像-CT 影像-临床数据的接受 NIC 的 NSCLC 数据库,在此基础上前瞻性更新数据库; 2.构建基于人工智能的 NSCLC 的 NIC 多组学疗效预测系统并进行验证:包括肺癌检测分割算法、多组学多模型 NSCLC 预测算法以及对这两种算法进行主观定性和客观定量评价,辅助临床医生决策; 3.通过临床样本和细胞功能学实验揭示模型背后的生物学基础 |
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Objectives of Study: |
First, build a database of NSCLC that includes pathological images, CT images, and clinical data, and prospectively update the database based on this. Second, construct and validate an AI-based multi-omics efficacy prediction system for NSCLC, including a segmentation algorithm for lung cancer detection and a multi-omics NSCLC prediction model to assist clinicians in decision-making.Third, reveal the biological basis behind the model through clinical samples and cellular functional experiments. |
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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: |
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Inclusion criteria |
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排除标准: |
排除标准:A.以前接受过免疫治疗;B.新辅助化疗联合免疫治疗前 30 天无我院 CT;C.肿瘤病变不可测量;D.CT图像质量差不能用来提取特征;E.在 CT 前已行肿瘤穿刺(会影响 CT 图像的特征);F.驱动基因 EGFR 和 ALK 基因突变 |
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Exclusion criteria: |
1. Previously received immunotherapy; 2. No CT from our hospital within 30 days before neoadjuvant chemotherapy combined with immunotherapy; 3. Tumor lesions are not measurable; 4. Poor quality of CT images that cannot be used to extract features; 5. Tumor puncture performed before CT (which will affect the characteristics of CT images); 6. Driver gene mutations in EGFR and ALK genes. |
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研究实施时间: Study execute time: |
从 From 2024-06-01 00:00:00至 To 2026-06-01 00:00:00 |
征募观察对象时间: Recruiting time: |
从 From 2025-04-01 00:00:00 至 To 2025-10-01 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: |
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): |
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: |
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 |
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): |
公开方式:网络 ;公开时间:2026.6.1 ;网址:http://www.chictr.org.cn/ |
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The way of sharing IPD”(include metadata and protocol, If use web-based public database, please provide the url): |
way of sharing: Web-based; Date: June.1st, 2026, URL: http://www.chictr.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: |
数据采集使用人工填写病历记录表。数据录入使用Microsoft Office Excel 2016和中国临床试验注册中心提供的在线ResMan系统进行录入和数据管理。 |
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Data collection and Management (A standard data collection and management system include a CRF and an electronic data capture: |
The case record form (CRF) will be recorded manually for the data collection. Microsoft Office Excel 2016 and the Resman system would be used for the data input and management. |
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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 |