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审核状态: Project audit state: |
通过审核 Successful |
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注册号: Registration number: |
ChiCTR2400094952 |
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最近更新日期: Date of Last Refreshed on: |
2024-12-31 08:24:13 |
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注册时间: Date of Registration: |
2024-12-31 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CT人工智能技术构建急性胰腺炎重症化智能诊断预警模型的研究 |
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Public title: |
Research on the Construction of an Intelligent Diagnostic and Early Warning Model for Severe Acute Pancreatitis Based on CT Artificial Intelligence Technology |
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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CT人工智能技术构建急性胰腺炎重症化智能诊断预警模型的研究 |
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Scientific title: |
Research on the Construction of an Intelligent Diagnostic and Early Warning Model for Severe Acute Pancreatitis Based on CT Artificial Intelligence Technology |
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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: |
郭逸飞 |
研究负责人: |
边云 |
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Applicant: |
Yifei Guo |
Study leader: |
Yun Bian |
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申请注册联系人电话: Applicant telephone: |
+86 131 9558 3980 |
研究负责人电话:
Study leader's |
+86 138 1635 7024 |
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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: |
gyfytm@foxmail.com |
研究负责人电子邮件: Study leader's E-mail: |
bianyun2012@foxmail.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: |
上海市杨浦区长海路168号 |
研究负责人通讯地址: |
上海市杨浦区长海路168号 |
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Applicant address: |
No.168, Changhai Road, Yangpu, Shanghai |
Study leader's address: |
No.168, Changhai Road, Yangpu, Shanghai |
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申请注册联系人邮政编码: Applicant postcode: |
223001 |
研究负责人邮政编码: Study leader's postcode: |
223001 |
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申请人所在单位: |
上海长海医院 |
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Applicant's institution: |
Shanghai Changhai Hospital |
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研究负责人所在单位: |
上海长海医院 |
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Affiliation of the Leader: |
Shanghai Changhai Hospital |
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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: |
CHEC-Y2024-018 |
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: |
上海长海医院伦理委员会 |
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Name of the ethic committee: |
Shanghai Changhai Hospital Ethics Committee |
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伦理委员会批准日期: Date of approved by ethic committee: |
2024-01-25 00:00:00 | ||
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伦理委员会联系人: |
张优琴 |
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Contact Name of the ethic committee: |
Youqin Zhang |
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伦理委员会联系地址: |
上海市杨浦区长海路168号 |
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Contact Address of the ethic committee: |
No.168, Changhai Road, Yangpu District, Shanghai |
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伦理委员会联系人电话: Contact phone of the ethic committee: |
+86 21 3116 2338 |
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: |
上海长海医院 |
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Primary sponsor: |
Shanghai Changhai Hospital |
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研究实施负责(组长)单位地址: |
上海市杨浦区长海路168号 |
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Primary sponsor's address: |
No.168, Changhai Road, Yangpu, Shanghai |
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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 |
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Source(s) of funding: |
Self-raised |
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研究疾病: |
急性胰腺炎 |
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Target disease: |
Acute pancreatitis |
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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: |
回顾性研究 | ||||||||||||||||||||||
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Study phase: |
Retrospective study |
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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: |
基于AP患者的早期CT图像建立人工智能模型早期预测AP患者发生器官衰竭的可能性。基于AP患者的CT图像建立人工智能模型诊断AP患者的局部并发症是否感染。 |
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Objectives of Study: |
Develop an artificial intelligence model based on early CT images of AP patients to predict the likelihood of organ failure in AP patients.Develop an artificial intelligence model based on CT images of AP patients to diagnose whether local complications in AP patients are infected. |
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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: |
第一部分:确诊为急性胰腺炎并在入院48h内接受过CECT检查的患者。急性胰腺炎的定义基于2012年修订的亚特兰大国际共识(RAC)。满足以下三个特征中的两个即可诊断为急性胰腺炎: 1. 患者具有与急性胰腺炎一致的腹痛表现(持续的、严重的、常放射到背部的急性发作的腹痛); 2. 血清脂肪酶/淀粉酶高于正常值上限3倍; 3. 对比增强计算机断层扫描(CECT)、磁共振成像(MRI)或经腹超声检查发现AP的影像表现。 第二部分:纳入接受过“腹腔液性病灶”的CT引导下置管引流术并进行微生物培养的患者,获取患者穿刺引流引流置管前和置管后的CT影像图像。 |
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Inclusion criteria |
Part One: Patients included in the first part are all those who were diagnosed with Acute Pancreatitis (AP). These patients underwent Contrast-Enhanced Computed Tomography (CECT) within 48 hours of admission. The definition of AP is based on the Revised Atlanta International Consensus (RAC) from 2012. A diagnosis of AP is made if two out of the following three criteria are met: The patient presents with abdominal pain consistent with AP (persistent, severe, and often radiating to the back); Serum lipase or amylase levels are more than three times the upper limit of normal; Imaging findings consistent with AP on Contrast-Enhanced Computed Tomography (CECT), Magnetic Resonance Imaging (MRI), or Transabdominal Ultrasound. Part Two: The second part includes all patients who underwent percutaneous catheter drainage under CT guidance for "abdominal fluid collections" and had microbiological cultures. CT images were obtained before and after catheter placement for the drainage of these fluid collections. |
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排除标准: |
第一部分: (1)CT质量差; (2)扫描期项不全(平扫、动脉期、门脉期、静脉期); (3)已经确诊慢性胰腺炎或复发性胰腺炎病史; (4)原发性胰腺病史(肿瘤等); (5)缺乏相应实验室指标及临床信息。 第二部分: (1)CT质量差; (2)引流液未培养或无细菌培养结果。 |
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Exclusion criteria: |
Part 1: (1) Poor CT quality; (2) Incomplete items in the scanning period (non-contrast scan, arterial phase, portal phase, venous phase); (3) Has been diagnosed with chronic pancreatitis or history of recurrent pancreatitis; (4) History of primary pancreas (tumors, etc.); (5) Lack of corresponding laboratory indicators and clinical information. Part II: (1) Poor CT quality; (2) The drainage fluid is not cultured or there is no bacterial culture result. |
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研究实施时间: Study execute time: |
从 From 2024-02-01 00:00:00至 To 2025-05-30 00:00:00 |
征募观察对象时间: Recruiting time: |
从 From 2025-01-01 00:00:00 至 To 2025-05-30 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: |
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): |
使用Excel生成随机数 |
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Randomization Procedure (please state who generates the random number sequence and by what method): |
Use Excel to generate random numbers |
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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): |
发表文章;预测AI模型和推理代码已在GitHub(https://github.com/CHANGHAI-AILab/AP)上公开提供 |
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The way of sharing IPD”(include metadata and protocol, If use web-based public database, please provide the url): |
Published article;The prediction AI models and inference code were made publicly available on GitHub (https://github.com/CHANGHAI-AILab/AP) |
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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:研究者将病例信息记录于excel表格后双人核对;数据管理:有关受试者身份相关的所有信息资料均予以保密,相关资料在相关法律和/或法规允许的范围之外不对外公开。 |
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Data collection and Management (A standard data collection and management system include a CRF and an electronic data capture: |
Data collection: The investigator records the case information in excel and then double-checks the data. Data management: All information related to the identity of the subject will be kept confidential, and the relevant information will not be disclosed to the public except as permitted by relevant laws and/or regulations. |
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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 |