基于深度学习时序分析模型联合病理组学预测Ⅲ-Ⅳ期结直肠癌患者治疗效果

注册号:

Registration number:

ChiCTR2600120308 

最近更新日期:

Date of Last Refreshed on:

2026-03-12 09:02:55 

注册时间:

Date of Registration:

2026-03-12 00:00:00 

注册号状态:

预注册

Registration Status:

Prospective registration

注册题目:

基于深度学习时序分析模型联合病理组学预测Ⅲ-Ⅳ期结直肠癌患者治疗效果

Public title:

Predicting Treatment Outcomes in Stage III-IV Colorectal Cancer Patients Based on a Deep Learning Time-Series Analysis Model Combined with Pathology

注册题目简写:

English Acronym:

研究课题的正式科学名称:

基于深度学习时序分析模型联合病理组学预测Ⅲ-Ⅳ期结直肠癌患者治疗效果

Scientific title:

Predicting Treatment Outcomes in Stage III-IV Colorectal Cancer Patients Based on a Deep Learning Time-Series Analysis Model Combined with Pathology

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:

李欣欣 

研究负责人:

李欣欣 

Applicant:

Xinxin Li 

Study leader:

Xinxin Li 

申请注册联系人电话:

Applicant telephone:

+86 13531268157

研究负责人电话:

Study leader's
telephone:

+86 13531268157

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:

xxli2023@163.com

研究负责人电子邮件:

Study leader's E-mail:

13531268157@139.com

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:

广东省汕头市长平路57号

研究负责人通讯地址:

广东省汕头市长平路57号

Applicant address:

No.57 Changping Road, Shantou, Guangdong, China

Study leader's address:

No.57 Changping Road, Shantou, Guangdong, China

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:

汕头大学医学院第一附属医院

Applicant's institution:

The First Affiliated Hospital of Shantou University Medical College

研究负责人所在单位:

汕头大学医学院第一附属医院

Affiliation of the Leader:

the First Affiliated Hospital of Shan Tou University Medical College

是否获伦理委员会批准:

Approved by ethic committee:

Yes

伦理委员会批件文号:

Approved No. of ethic committee:

B-2026-037

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:

汕头大学医学院第一附属医院临床科研伦理委员会

Name of the ethic committee:

The Ethics Committee of First Affiliated Hospital of Shantou University Medical College

伦理委员会批准日期:

Date of approved by ethic committee:

2026-01-27 00:00:00

伦理委员会联系人:

林宇洵

Contact Name of the ethic committee:

Lin YuXun

伦理委员会联系地址:

广东省汕头市长平路57号

Contact Address of the ethic committee:

No.57 Changping Road, Shantou, Guangdong, China

伦理委员会联系人电话:

Contact phone of the ethic committee:

+86 754 88905647

伦理委员会联系人邮箱:

Contact email of the ethic committee:

sdfyllwyh@163.com

研究实施负责(组长)单位:

汕头大学医学院第一附属医院

Primary sponsor:

the First Affiliated Hospital of Shan Tou University Medical College

研究实施负责(组长)单位地址:

广东省汕头市长平路57号

Primary sponsor's address:

No.57 Changping Road, Shantou, Guangdong, China

试验主办单位(项目批准或申办者):

Secondary sponsor:

国家:

中国

省(直辖市):

广东省

市(区县):

Country:

China

Province:

Guangdong

City:

单位(医院):

汕头大学医学院第一附属医院

具体地址:

广东省汕头市长平路57号

Institution
hospital:

the First Affiliated Hospital of Shan Tou University Medical College

Address:

No.57 Changping Road, Shantou, Guangdong, China

经费或物资来源:

自选课题(自筹)

Source(s) of funding:

self-selected topic

研究疾病:

Ⅲ-Ⅳ期结直肠癌  

Target disease:

Stage III-IV colorectal cancer

研究疾病代码:

Target disease code:

研究类型:

观察性研究

Study type:

Observational study

研究所处阶段:

其它 

Study phase:

N/A

研究设计:

连续入组 

Study design:

Sequential 

研究目的:

本项目拟整合基线及系列随访CT数据,开发基于CT图像及临床数据时序分析的深度学习模型,联合病理组学构建多模态预测模型,以优化Ⅲ-Ⅳ期CRC患者的预后预测及个体化治疗决策。  

Objectives of Study:

This project aims to integrate baseline and serial follow-up CT data to develop a deep learning model based on CT images and longitudinal clinical data, and to combine it with pathology to build a multimodal prediction model, in order to optimize prognosis prediction and individualized treatment decisions for patients with stage III-IV CRC.

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.合并有其他严重影响健康疾病的患者,如严重的心、脑、肝、肺、肾脏病等的患者; 2.合并其他原发肿瘤的患者; 3.基线或随访CT图像丢失或CT质量不足的患者; 4.治疗过程中于组长单位或参与单位以外的医院进行手术的患者; 5.术后数字病理切片丢失或质量不佳的患者。

Exclusion criteria:

1. Patients with other serious health conditions, such as severe heart, brain, liver, lung, or kidney diseases; 2. Patients with other primary tumors; 3. Patients with missing baseline or follow-up CT images or inadequate CT quality; 4. Patients who undergo surgery at a hospital other than the leading or participating institution during the treatment process; 5. Patients with postoperative digital pathology slides that are lost or of poor quality.

研究实施时间:

Study execute time:

From 2026-03-15 00:00:00 To 2027-09-30 00:00:00  

征募观察对象时间:

Recruiting time:

From 2026-03-15 00:00:00 To 2027-09-30 00:00:00

干预措施:

Interventions:

组别:

观察组

样本量:

420

Group:

Observation group

Sample size:

干预措施:

干预措施代码:

Intervention:

none

Intervention code:

研究实施地点:

Countries of recruitment and research settings:

国家:

中国

省(直辖市):

广东省 

市(区县):

 

Country:

China

Province:

Guangdong

City:

单位(医院):

汕头大学医学院第一附属医院 

单位级别:

三级甲等 

Institution
hospital:

the First Affiliated Hospital of Shan Tou University Medical College

Level of the institution:

Tertiary A

国家:

中国

省(直辖市):

广东省 

市(区县):

 

Country:

China

Province:

Guangdong

City:

单位(医院):

汕头大学医学院第二附属医院 

单位级别:

三级甲等 

Institution
hospital:

The Second Affiliated Hospital of Shantou University Medical College

Level of the institution:

Tertiary A

国家:

中国

省(直辖市):

广东省 

市(区县):

 

Country:

China

Province:

Guangdong

City:

单位(医院):

汕头大学医学院附属肿瘤医院 

单位级别:

三级甲等 

Institution
hospital:

Shantou University Medical College Affiliated Cancer Hospital

Level of the institution:

Tertiary A

测量指标:

Outcomes:

指标中文名:

特异度

指标类型:

主要指标

Outcome:

specificity

Type:

Primary indicator

测量时间点:

测量方法:

基于R语言的数据分析

Measure time point of outcome:

Measure method:

Data analysis based of R language

指标中文名:

校准度曲线

指标类型:

主要指标

Outcome:

Calibration curve

Type:

Primary indicator

测量时间点:

测量方法:

基于R语言的数据分析

Measure time point of outcome:

Measure method:

Data analysis based of R language

指标中文名:

准确率

指标类型:

主要指标

Outcome:

Accuracy

Type:

Primary indicator

测量时间点:

测量方法:

基于R语言的数据分析

Measure time point of outcome:

Measure method:

Data analysis based of R language

指标中文名:

决策曲线分析

指标类型:

主要指标

Outcome:

Decision Curve Analysis(DCA)

Type:

Primary indicator

测量时间点:

测量方法:

基于R语言的数据分析

Measure time point of outcome:

Measure method:

Data analysis based of R language

指标中文名:

曲线下面积

指标类型:

主要指标

Outcome:

Area under curve(AUC)

Type:

Primary indicator

测量时间点:

测量方法:

基于R语言的数据分析

Measure time point of outcome:

Measure method:

Data analysis based of R language

指标中文名:

受试者工作特性曲线

指标类型:

主要指标

Outcome:

Receiver operating characteristic curve(ROC)

Type:

Primary indicator

测量时间点:

测量方法:

基于R语言的数据分析

Measure time point of outcome:

Measure method:

Data analysis based of R language

指标中文名:

敏感度

指标类型:

主要指标

Outcome:

Sensitivity

Type:

Primary indicator

测量时间点:

测量方法:

基于R语言的数据分析

Measure time point of outcome:

Measure method:

Data analysis based of R language

采集人体标本:

Collecting sample(s)
from participants:

标本中文名:

组织:

Sample Name:

NA

Tissue:

人体标本去向

其它  

说明

Fate of sample:

0thers  

Note:

征募研究对象情况:

Recruiting status:

尚未开始

Not yet recruiting

年龄范围:

Participant age:

最小 Min age 80 years
最大 Max age 18 years

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):

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:

不公开/Private

盲法:

Blinding:

None

是否共享原始数据:

IPD sharing

是Yes

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):

研究结束后1年内上传至国家生物信息中心 https://ngdc.cncb.ac.cn/gsub/

The way of sharing IPD”(include metadata and protocol, If use web-based public database, please provide the url):

China National center for Bioinformation (https://ngdc.cncb.ac.cn/gsub/)

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:

通过电子数据表进行数据采集,通过电子采集管理系统进行管理

Data collection and Management (A standard data collection and management system include a CRF and an electronic data capture:

Data collection is performed by an electronic spreadsheet, and managed by an electronic data collection management system.

数据与安全监察委员会:

Data and Safety Monitoring Committee:

无/No

注册人:

Name of Registration:

 2026-03-12 09:02:34