基于机器学习方法的CT影像组学特征分析对免疫缺陷患者肺部感染鉴别诊断的实验研究

注册号:

Registration number:

ChiCTR2000038557 

最近更新日期:

Date of Last Refreshed on:

2020-09-24 05:49:59 

注册时间:

Date of Registration:

2020-09-24 00:00:00 

注册号状态:

补注册

Registration Status:

Retrospective registration

注册题目:

基于机器学习方法的CT影像组学特征分析对免疫缺陷患者肺部感染鉴别诊断的实验研究

Public title:

Machine learning-based CT texture analysis for differential diagnosis of pulmonary infections in immunocompromised patients

注册题目简写:

English Acronym:

研究课题的正式科学名称:

基于机器学习方法的CT影像组学特征分析对免疫缺陷患者肺部感染鉴别诊断的实验研究

Scientific title:

Machine learning-based CT texture analysis for differential diagnosis of pulmonary infections in immunocompromised patients

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:

严承功 

研究负责人:

许乙凯 

Applicant:

Chenggong Yan 

Study leader:

Yikai Xu 

申请注册联系人电话:

Applicant telephone:

+86 13427527712

研究负责人电话:

Study leader's
telephone:

+86 02061642086

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:

ycgycg007@qq.com

研究负责人电子邮件:

Study leader's E-mail:

yikaixu917@gmail.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:

广州市广州大道北1838号

研究负责人通讯地址:

广州市广州大道北1838号

Applicant address:

1838 Guangzhou Avenue North, Guangzhou, Guangdong, China

Study leader's address:

1838 Guangzhou Avenue North, Guangzhou, Guangdong, China

申请注册联系人邮政编码:

Applicant postcode:

510515

研究负责人邮政编码:

Study leader's postcode:

510515

申请人所在单位:

南方医科大学南方医院

Applicant's institution:

Nanfang Hospital

研究负责人所在单位:

南方医科大学南方医院

Affiliation of the Leader:

Nanfang Hospital

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:

NFEC-2017-087

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:

南方医科大学南方医院伦理委员会

Name of the ethic committee:

Ethic Committee of Nanfang Hospital

伦理委员会批准日期:

Date of approved by ethic committee:

2017-06-15 00:00:00

伦理委员会联系人:

胡兴媛

Contact Name of the ethic committee:

Xingyuan Hu

伦理委员会联系地址:

广州市广州大道北1838号南方医院新实验楼

Contact Address of the ethic committee:

1838 Guangzhou Avenue North, Baiyun District, Guangzhou, Guangdong, China

伦理委员会联系人电话:

Contact phone of the ethic committee:

伦理委员会联系人邮箱:

Contact email of the ethic committee:

研究实施负责(组长)单位:

南方医科大学南方医院

Primary sponsor:

Nanfang Hospital

研究实施负责(组长)单位地址:

广州市广州大道北1838号

Primary sponsor's address:

1838 Guangzhou Avenue North, Baiyun 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):

南方医科大学南方医院

具体地址:

广州市广州大道北1838号

Institution
hospital:

Nanfang Hospital

Address:

1838 Guangzhou Avenue North

经费或物资来源:

科研经费

Source(s) of funding:

Research funding

研究疾病:

肺部感染  

Target disease:

pulmonary infections

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:

回顾性研究 

Study phase:

Retrospective study

研究设计:

连续入组 

Study design:

Sequential 

研究目的:

使用机器学习的CT影像组学特征分析鉴别诊断严重免疫缺陷患者的肺部真菌/非真菌感染。  

Objectives of Study:

To investigate the value of machine learning-based quantitative CT radiomics features for differential diagnosis of IFI from non-IFI pneumonia in severely immunocompromised patients.

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:

CT图像质量不佳。

Exclusion criteria:

Inadequate image quality for CT diagnosis.

研究实施时间:

Study execute time:

From 2017-08-01 00:00:00 To 2021-09-30 00:00:00  

征募观察对象时间:

Recruiting time:

From 2017-10-01 00:00:00 To 2020-12-31 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):

病原学诊断结果

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):

Etiological 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):

高,中,低年资影像科医师和机器学习检测模型的判断

Index test:

invasvieness labels given by senior, intermediate, and junior doctors and the classification results of the machine learning model

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)

严重免疫缺陷患者合并肺部感染

例数:

Sample size:

100

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):

severely immunocompromised patients with pulmonary infections

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):

免疫正常合并肺部感染患者

例数:

Sample size:

100

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

Non-immunocompromised patients with pulmonary infections

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):

南方医科大学南方医院 

单位级别:

三甲医院 

Institution
hospital:

Nnanfang Hospital

Level of the institution:

Tertiary A Hospital

测量指标:

Outcomes:

指标中文名:

诊断准确性

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:

敏感度

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:

特异度

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:

指标中文名:

曲线下面积

指标类型:

主要指标

Outcome:

AUC

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:

CT图像

组织:

Sample Name:

CT images

Tissue:

人体标本去向

使用后保存  

说明

Fate of sample:

Preservation after use  

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 65 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):

N/A

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:

不公开/Private

盲法:

未说明

Blinding:

Not stated

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):

研究论文或科技报告形式公开发表

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

Research Article

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:

PACS系统

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

PACS system

数据与安全监察委员会:

Data and Safety Monitoring Committee:

有/Yes

注册人:

Name of Registration:

 2020-09-24 05:46:15