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注册号: Registration number: |
ChiCTR2500111321 |
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最近更新日期: Date of Last Refreshed on: |
2025-10-29 16:30:24 |
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注册时间: Date of Registration: |
2025-10-29 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: |
基于声学生物标志物的肺结核智能诊断技术 |
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Public title: |
Intelligent diagnosis of pulmonary tuberculosis based on acoustic biomarkers |
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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: |
基于声学生物标志物的肺结核智能诊断技术 |
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Scientific title: |
Intelligent diagnosis of pulmonary tuberculosis based on acoustic biomarkers |
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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: |
杨新婷 |
研究负责人: |
杨新婷 |
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Applicant: |
Yang Xinting |
Study leader: |
Yang Xinting |
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申请注册联系人电话: Applicant telephone: |
+86 159 1108 6290 |
研究负责人电话:
Study leader's |
+86 159 1108 6290 |
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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: |
2320652139@qq.com |
研究负责人电子邮件: Study leader's E-mail: |
2320652139@qq.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: |
北京市通州区北关大街9号北京胸科医院 |
研究负责人通讯地址: |
北京市通州区北关大街9号北京胸科医院 |
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Applicant address: |
Beijing Chest Hospital, 9 Beiguan Street, Tongzhou District, Beijing |
Study leader's address: |
Beijing Chest Hospital, 9 Beiguan Street, Tongzhou District, Beijing |
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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: |
首都医科大学附属北京胸科医院 |
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Applicant's institution: |
Beijing Chest Hospital Affiliated to Capital Medical University |
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研究负责人所在单位: |
首都医科大学附属北京胸科医院 |
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Affiliation of the Leader: |
Beijing Chest Hospital Affiliated to Capital Medical 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: |
无 |
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: |
首都医科大学附属北京胸科医院伦理委员会 |
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Name of the ethic committee: |
Ethics Committee of Beijing Chest Hospital Affiliated to Capital Medical University |
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伦理委员会批准日期: Date of approved by ethic committee: |
2025-02-17 00:00:00 | ||
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伦理委员会联系人: |
张迪 |
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Contact Name of the ethic committee: |
Di Zhang |
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伦理委员会联系地址: |
北京市通州区北关大街9号北京胸科医院 |
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Contact Address of the ethic committee: |
Beijing Chest Hospital, 9 Beiguan Street, Tongzhou District, Beijing |
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伦理委员会联系人电话: Contact phone of the ethic committee: |
+86 89509206 |
伦理委员会联系人邮箱: Contact email of the ethic committee: |
zhangdi0105@126.com |
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研究实施负责(组长)单位: |
首都医科大学附属北京胸科医院 |
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Primary sponsor: |
Beijing Chest Hospital Affiliated to Capital Medical University |
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研究实施负责(组长)单位地址: |
北京市通州区北关大街9号北京胸科医院 |
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Primary sponsor's address: |
Beijing Chest Hospital, 9 Beiguan Street, Tongzhou District, Beijing |
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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: |
北京市卫生健康委员会 |
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Source(s) of funding: |
Beijing Municipal Health Commission |
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研究疾病: |
肺结核 |
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Target disease: |
Pulmonary tuberculosis |
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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: |
诊断试验 |
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Study type: |
Diagnostic test |
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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: |
诊断试验诊断准确性 |
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Study design: |
Diagnostic test for accuracy |
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研究目的: |
1.评估肺结核患者与健康人和其他肺部疾病患者咳嗽音、呼吸音和语音的声学标志物的差异; 2.通过机器学习和人工智能建立基于声学特征的肺结核智能诊断系统并评估其对肺结核诊断效能。 |
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Objectives of Study: |
1. Evaluate the differences in acoustic biomarkers of cough sounds, breath sounds, and speech between tuberculosis patients, healthy individuals, and patients with other lung diseases; 2. Develop an intelligent tuberculosis diagnostic system based on acoustic features using machine learning and artificial intelligence, and assess its diagnostic effectiveness for tuberculosis. |
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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: |
肺结核组: 1) 意识障碍、读写困难等各种神经精神类疾病不能在训练后进行主动咳嗽、主动呼吸和发出语音的患者 2) 严重营养不良不能进行主动咳嗽、深呼吸和发出语音的患者 3) 合并重症肌无力或神经肌肉接触等疾病患者 4) 发声系统损伤或颌面部大型手术或肿瘤患者 5) 近2周有活动性咯血的患者 6) 近4周发生气胸患者 肺部其他疾病组: 1) 意识障碍、读写困难等各种神经精神类疾病不能在训练后进行主动咳嗽、主动呼吸和发出语音的患者 2) 严重营养不良不能进行主动咳嗽、深呼吸和发出语音的患者 3) 合并重症肌无力或神经肌肉接触等疾病患者 4) 发声系统损伤或颌面部大型手术或肿瘤患者 5) 近2周有活动性咯血的患者 6) 近4周发生气胸患者 |
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Exclusion criteria: |
Tuberculosis group: 1.Patients with various neuropsychiatric diseases such as disturbance of consciousness, dyslexia and so on, who cannot cough, breathe and make speech actively after training. 2.Severely malnourished patients who are unable to cough actively, breathe deeply and produce speech. 3.Patients with myasthenia gravis or neuromuscular contact. 4.Patients with vocal system injury or maxillofacial major surgery or tumor. 5.Patients with active hemoptysis in the last 2 weeks. 6.Patients with pneumothorax in recent 4 weeks. Other lung disease group: 1. Patients with various neuropsychiatric diseases such as disturbance of consciousness, dyslexia and so on, who cannot cough, breathe and make speech actively after training. 2.Severely malnourished patients who are unable to cough actively, breathe deeply and produce speech. 3.Patients with myasthenia gravis or neuromuscular contact. 4.Patients with vocal system injury or maxillofacial major surgery or tumor. 5.Patients with active hemoptysis in the last 2 weeks. 6.Patients with pneumothorax in recent 4 weeks. |
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研究实施时间: Study execute time: |
从 From 2024-11-01 00:00:00至 To 2027-10-31 00:00:00 |
征募观察对象时间: Recruiting time: |
从 From 2025-10-30 00:00:00 至 To 2027-02-28 00:00:00 |
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诊断试验: Diagnostic Tests: |
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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: |
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 |
否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: |
电子采集和管理 |
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Data collection and Management (A standard data collection and management system include a CRF and an electronic data capture: |
Electronic Data Capture |
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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 |