基于深度学习的计算机辅助超声内镜预测消化道黏膜下肿瘤性质及治疗风险的模型构建与应用

注册号:

Registration number:

ChiCTR2100051191 

最近更新日期:

Date of Last Refreshed on:

2022-05-23 19:07:05 

注册时间:

Date of Registration:

2021-09-15 00:00:00 

注册号状态:

预注册

Registration Status:

Prospective registration

注册题目:

基于深度学习的计算机辅助超声内镜预测消化道黏膜下肿瘤性质及治疗风险的模型构建与应用

Public title:

Deep learning-based model construction and application of computer-assisted ultrasound endoscopy to predict the properties and therapeutic risk of gastrointestinal submucosal tumors

注册题目简写:

English Acronym:

研究课题的正式科学名称:

基于深度学习的计算机辅助超声内镜预测消化道黏膜下肿瘤性质及治疗风险的模型构建与应用

Scientific title:

Deep learning-based model construction and application of computer-assisted ultrasound endoscopy to predict the properties and therapeutic risk of gastrointestinal submucosal tumors

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:

孙家琛 

研究负责人:

孙家琛 

Applicant:

Sun Jiachen 

Study leader:

Sun Jiachen 

申请注册联系人电话:

Applicant telephone:

+86 17876767620

研究负责人电话:

Study leader's
telephone:

+86 17876767620

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:

sunjch8@mail.sysu.edu.cn

研究负责人电子邮件:

Study leader's E-mail:

sunjch8@mail.sysu.edu.cn

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:

广东广州市天河区员村二横路26号

研究负责人通讯地址:

广东广州市天河区员村二横路26号

Applicant address:

26 Erheng Road, Yuancun, Tianhe District, Guangzhou, Guangdong, China

Study leader's address:

26 Erheng Road, Yuancun, Tianhe District, Guangzhou, Guangdong, China

申请注册联系人邮政编码:

Applicant postcode:

510655

研究负责人邮政编码:

Study leader's postcode:

510655

申请人所在单位:

中山大学附属第六医院

Applicant's institution:

The Sixth Affiliated Hospital of Sun Yat-Sen University

研究负责人所在单位:

中山大学附属第六医院

Affiliation of the Leader:

The Sixth Affiliated Hospital of Sun Yat-Sen University?

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:

2021ZSLYEC-319

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:

中山大学附属第六医院伦理委员会

Name of the ethic committee:

Ethics Committee of the Sixth Affiliated Hospital of Zhongshan University

伦理委员会批准日期:

Date of approved by ethic committee:

2021-08-13 00:00:00

伦理委员会联系人:

卢向恩

Contact Name of the ethic committee:

Lu Xiangen

伦理委员会联系地址:

广东广州市天河区员村二横路26号

Contact Address of the ethic committee:

26 Erheng Road, Yuancun, Tianhe District, Guangzhou, Guangdong, China

伦理委员会联系人电话:

Contact phone of the ethic committee:

+86 20 38379764

伦理委员会联系人邮箱:

Contact email of the ethic committee:

zslyllb@mail.sysu.edu.cn

研究实施负责(组长)单位:

中山大学附属第六医院

Primary sponsor:

The Sixth Affiliated Hospital of Sun Yat-Sen University

研究实施负责(组长)单位地址:

广东广州市天河区员村二横路26号

Primary sponsor's address:

26 Erheng Road, Yuancun, Tianhe District, Guangzhou, 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

市(区县):

广州

Country:

China

Province:

Guangdong

City:

Guangzhou

单位(医院):

中山大学附属第六医院

具体地址:

天河区员村二横路26号

Institution
hospital:

The Sixth Affiliated Hospital of Sun Yat-Sen University

Address:

26 Erheng Road, Yuancun, Tianhe District

经费或物资来源:

中山大学附属第六医院横向课题(项目编号:H202101162024041054)

Source(s) of funding:

The Sixth Affiliated Hospital of Sun Yat-sen University of Horizontal Program (Grant No. H202101162024041054)

研究疾病:

消化道黏膜下肿瘤  

Target disease:

Submucosal tumors of the digestive tract

研究疾病代码:

Target disease code:

研究类型:

诊断试验

Study type:

Diagnostic test

研究所处阶段:

探索性研究/预试验 

Study phase:

0

研究设计:

连续入组 

Study design:

Sequential 

研究目的:

构建基于深度学习的计算机辅助超声内镜识别消化道黏膜下肿瘤、预测恶性潜能和预测内镜治疗穿孔风险的系统。  

Objectives of Study:

To construct a deep learn-based system of computer-assisted ultrasound endoscopy for the recognition of gastrointestinal submucosal tumors, prediction of malignant potential and prediction of perforation risk under endoscopic treatment.

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:

无。

Exclusion criteria:

No.

研究实施时间:

Study execute time:

From 2021-09-15 00:00:00 To 2023-09-15 00:00:00  

征募观察对象时间:

Recruiting time:

From 2021-09-15 00:00:00 To 2023-09-15 00:00:00

诊断试验:

Diagnostic Tests:

金标准或参考标准(即可准确诊断某疾病的单项方法或多项联合方法,在本研究中用于诊断是否有该病的临床参考标准):

病理诊断结果

Gold Standard or Reference Standard (The clinical reference standards required to establish the presence or absence of the target condition in the tested population in present study):

Pathological diagnosis

指标试验(即本研究的待评估诊断试验,无论为方法、生物标志物或设备,均请列出名称):

基于深度学习的计算机辅助超声内镜识别消化道黏膜下肿瘤、预测恶性潜能和预测内镜治疗穿孔风险的系统

Index test:

Deep learn-based system for computer assisted ultrasound endoscopy to identify gastrointestinal submucosal tumors, predict malignant potential and predict perforation risk of endoscopic therapy

目标人群(可以是某种疾病患者或正常人群,详细描述其疾病特征,注意应纳入符合分布特点的全序列病例,具有良好的代表性)

消化道黏膜下肿瘤患者

例数:

Sample size:

1500

Target condition (The target condition is a particular disease or disease stage that the index test will be intended to identify. Please specify the characteristics in detail; the population should has a complete spectrum and good representative):

Patients with submucosal tumor of digestive tract.

容易混淆的疾病人群(即与目标疾病不易区分的一种或多种不同疾病,应避免采用正常人群对照的病例-对照设计):

未说明

例数:

Sample size:

0

Population with condition difficult to distinguish from the target condition, the normal population in a case-control study design should be avoid:

Not stated

研究实施地点:

Countries of recruitment and research settings:

国家:

中国

省(直辖市):

广东 

市(区县):

广州 

Country:

China

Province:

Guangdong

City:

Guangzhou

单位(医院):

中山大学附属第六医院 

单位级别:

三级甲等 

Institution
hospital:

The Sixth Affiliated Hospital of Sun Yat-Sen University

Level of the institution:

Tertiary A

国家:

中国

省(直辖市):

广东 

市(区县):

广州 

Country:

China

Province:

Guangdong

City:

Guangzhou

单位(医院):

广东省第二医院 

单位级别:

三级甲等 

Institution
hospital:

Guangdong Second Hospital

Level of the institution:

Tertiary A

国家:

中国

省(直辖市):

海南 

市(区县):

海口 

Country:

China

Province:

Hainan

City:

Haikou

单位(医院):

海南省人民医院 

单位级别:

三级甲等 

Institution
hospital:

Hainan People's Hospital

Level of the institution:

Tertiary A

国家:

中国

省(直辖市):

广东 

市(区县):

江门 

Country:

China

Province:

Guangdong

City:

Jiangmen

单位(医院):

江门市人民医院 

单位级别:

三级甲等 

Institution
hospital:

Jiangmen People's Hospital

Level of the institution:

Tertiary A

测量指标:

Outcomes:

指标中文名:

准确性

指标类型:

主要指标

Outcome:

accuracy

Type:

Primary indicator

测量时间点:

测量方法:

Measure time point of outcome:

Measure method:

指标中文名:

敏感性

指标类型:

主要指标

Outcome:

sensitivity

Type:

Primary indicator

测量时间点:

测量方法:

Measure time point of outcome:

Measure method:

指标中文名:

特异性

指标类型:

主要指标

Outcome:

specificity

Type:

Primary indicator

测量时间点:

测量方法:

Measure time point of outcome:

Measure method:

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:

正在进行

Recruiting

年龄范围:

Participant age:

最小 Min age 18 years
最大 Max age 100 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):

不适用

Randomization Procedure (please state who generates the random number sequence and by what method):

N/A

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

盲法:

未说明

Blinding:

Not stated

试验完成后的统计结果(上传文件):

Calculated Results after
the Study Completed(upload file):

是否共享原始数据:

IPD sharing

否No

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):

未说明 请阅读网页注册指南中关于 原始数据共享 的内容。

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

Not stated

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:

电子采集和管理系统

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

Electronic Data Capture, EDC

数据与安全监察委员会:

Data and Safety Monitoring Committee:

有/Yes

注册人:

Name of Registration:

 2021-09-15 22:04:53