|
注册号: Registration number: |
ChiCTR2000035402 |
|
最近更新日期: Date of Last Refreshed on: |
2020-08-12 17:53:24 |
|
注册时间: Date of Registration: |
2020-08-10 00:00:00 |
|
注册号状态: |
预注册 |
|
Registration Status: |
Prospective registration |
|
注册题目: |
陶宝鑫医师:该研究尚未获得伦理委员会批准,请于批准后再开始纳入参试者,并与我们联系上传批件。 动态手术导航系统应用于无牙颌种植的多中心临床研究 |
|
Public title: |
Multi center randomized controlled clinical study of dynamic surgical navigation system for the placement of implants in edentulous patient |
|
注册题目简写: |
|
|
English Acronym: |
|
|
研究课题的正式科学名称: |
动态手术导航系统应用于无牙颌种植的多中心临床研究 |
|
Scientific title: |
Multi center clinical study of dynamic surgical navigation system for the placement of implants in edentulous patient |
|
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: |
陶宝鑫 |
研究负责人: |
吴轶群 |
|
Applicant: |
Tao Baoxin |
Study leader: |
Wu Yiqun |
|
申请注册联系人电话: Applicant telephone: |
+86 15754307895 |
研究负责人电话:
Study leader's |
+86 13916892306 |
|
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: |
984064040@qq.com |
研究负责人电子邮件: Study leader's E-mail: |
yiqunwu@outlook.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: |
上海市黄浦区制造局路639号 |
研究负责人通讯地址: |
上海市黄浦区制造局路639号 |
|
Applicant address: |
639 Zhizaoju Road, Huangpu District, Shanghai, China |
Study leader's address: |
639 Zhizaoju Road, Huangpu District, Shanghai, 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: |
上海交通大学医学院附属第九人民医院 |
||
|
Applicant's institution: |
Shanghai Ninth People's Hospital, College of Stomatology, Shanghai Jiaotong University School of Medicine |
||
|
研究负责人所在单位: |
上海交通大学医学院附属第九人民医院 |
||
|
Affiliation of the Leader: |
Shanghai Ninth People's Hospital, College of Stomatology, Shanghai Jiaotong University School of Medicine |
||
|
是否获伦理委员会批准: |
否 |
||
|
Approved by ethic committee: |
No |
||
|
伦理委员会批件文号: Approved No. of ethic committee: |
伦理委员会批件附件: Approved file of Ethical Committee: |
||
|
批准本研究的伦理委员会名称: |
|
||
|
Name of the ethic committee: |
|
||
|
伦理委员会批准日期: Date of approved by ethic committee: |
2013-08-26 00:00:00 | ||
|
伦理委员会联系人: |
|
||
|
Contact Name of the ethic committee: |
|
||
|
伦理委员会联系地址: |
|
||
|
Contact Address of the ethic committee: |
|
||
|
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: |
上海交通大学医学院附属第九人民医院 |
||||||||||||||||||||||
|
Primary sponsor: |
Shanghai Ninth People's Hospital, College of Stomatology, Shanghai Jiaotong University School of Medicine |
||||||||||||||||||||||
|
研究实施负责(组长)单位地址: |
上海市黄浦区制造局路639号 |
||||||||||||||||||||||
|
Primary sponsor's address: |
639 Zhizaoju Road, Huangpu District, Shanghai, China |
||||||||||||||||||||||
|
试验主办单位(项目批准或申办者): Secondary sponsor: |
|
||||||||||||||||||||||
|
经费或物资来源: |
上海申康医院发展中心促进市级医院临床技能与临床创新 三年行动计划(2020-2022年) 重大临床研究项目 |
||||||||||||||||||||||
|
Source(s) of funding: |
Major clinical research projects of Shanghai Shenkang hospital development center to promote clinical skills and clinical innovation of municipal hospitals (2020-2022) |
||||||||||||||||||||||
|
研究疾病: |
无牙颌患者 |
||||||||||||||||||||||
|
Target disease: |
Edentulous patients |
||||||||||||||||||||||
|
研究疾病代码: |
|
||||||||||||||||||||||
|
Target disease code: |
|
||||||||||||||||||||||
|
研究类型: |
干预性研究 |
||||||||||||||||||||||
|
Study type: |
Interventional study |
||||||||||||||||||||||
|
研究所处阶段: |
探索性研究/预试验 | ||||||||||||||||||||||
|
Study phase: |
0 |
||||||||||||||||||||||
|
研究设计: |
随机平行对照 |
||||||||||||||||||||||
|
Study design: |
Parallel |
||||||||||||||||||||||
|
研究目的: |
我国口腔保健意识长期缺乏,加之人口快速老龄化,当前缺牙患者人数日益增多,种植牙需求呈爆发式增长。然而大多数复杂种植手术仍在盲视下操作,手术创伤大、风险高。另外,手抖、疲劳等人为因素也可能对手术结果造成不良影响。因此,如何实现精确、安全、高效、微创的种植成为亟待解决的临床课题。本研究着眼于主动手术导航系统应用于无牙颌患者的种植手术中安全性与有效性研究,通过对关键技术的掌握,验证手术实时导航系统辅助常规种植体和颧骨种植体的精度分析,对照常规手术导板比较动态/静态导航于无牙颌患者中的有效性和安全性。这是一项前瞻性、随机、阳性对照、多中心的临床试验。在全口无牙颌的中国患者中,验证导航系统于临床操作的有效性和安全性是本研究的重点。本项目研究内容主要分为以下三大部分: (1)口腔颌面部解剖组织结构高精度自动分割、配准与三维重建系统于临床试验中的应用:口腔手术空间狭窄、术区毗邻重要器官、神经、血管等,例如:眼球、视神经、颞下窝、眶下神经血管束、下颌神经、上颌窦等,手术需要十分精准,才能避免手术的严重并发症。为此,需利用多源医学图像对口腔颌面解剖组织结构进行高精度的自动分割、配准与三维重建,为后续的手术规划、导航及机器人系统提供基础,需研究的内容包括:基于无牙合影像学资料的融合冗差连接单元及边界信息监督的深度神经网络构建算法;基于深度循环神经网络、对抗网络技术及深度卷积网络的多源医学图像高精度分割与配准算法;高效的医学图像三维重建(包括面重建与体重建)与多平面重建算法;计算导航系统手术定位误差于实际患者坐标间的误差。 (2)红外线主动追踪导航系统于口腔种植术的精准度研究利:用高精度主动追踪红外定位跟踪技术,将上述步骤处理后的多源医学图像重建的虚拟三维数据、以及手术规划软件生成的规划结果导入手术导航系统,进行空间配准,按照预先设置的手术路径进行手术,确保手术的安全性与精确化研究内容包括:种植体植入的精度分析:导航系统的可靠性和实时性分析等、全口无牙颌导航种植术的有效性与安全性。 (3)手术导航系统的安全性研究: 利用增强现实技术,处理后的CT/MRI/US图像重建的虚拟三维数据、计算机辅助术前规划信息与术前影像学图像叠加融为一体,从而引术者在增强现实的环境下进行自动定位及手术操作,需研究的内容包括:术中对危险解剖区域进行定位,并自动实时智能预报警,从而避开重要的解剖组织;开发增强现实定位系统,使得主从操作过程中能够通过屏幕看到病灶与重要的组织,从而避免手术事故;记录手术并发症的发生率和手术时间,并归纳总结出规律对建立口腔导航手术标准化流程具有重要意义。 |
||||||||||||||||||||||
|
Objectives of Study: |
Due to the lack of oral health awareness and the rapid aging of the population, the number of patients with tooth loss is increasing day by day, and the demand for dental implants is growing explosively. However, most of the complex implant operations are still performed under blind vision, which has great trauma and high risk. In addition, hand shaking, fatigue and other factors may also have adverse effects on the surgical results. Therefore, how to achieve accurate, safe, efficient and minimally invasive planting has become an urgent clinical issue. This study focused on the safety and effectiveness of the active surgical navigation system applied to edentulous patients in implant surgery. Through mastering the key technologies, we verified the accuracy analysis of the conventional implant and zygomatic implant assisted by the real-time surgical navigation system, and compared the effectiveness and safety of dynamic / static navigation in edentulous patients compared with the conventional surgical guide plate. This is a prospective, randomized, positive controlled, multicenter clinical trial. In Chinese patients with complete edentulous jaws, the focus of this study is to verify the effectiveness and safety of the navigation system in clinical operation. The research content of this project is mainly divided into the following three parts: (1) Application of high-precision automatic segmentation, registration and three-dimensional reconstruction system for oral and maxillofacial anatomy in clinical trials: narrow oral surgery space, adjacent important organs, nerves and blood vessels, such as eyeball, optic nerve, infratemporal fossa, infraorbital nerve and vascular bundle, mandibular nerve, maxillary sinus, etc., need to be very accurate in order to avoid serious operation There are some symptoms. Therefore, it is necessary to use multi-source medical images for automatic segmentation, registration and three-dimensional reconstruction of oral and maxillofacial anatomy, which can provide the basis for the follow-up surgical planning, navigation and robot system High precision segmentation and registration algorithm of multi-source medical image based on ring neural network, countermeasure network technology and deep convolution network; efficient 3D reconstruction (including face reconstruction and weight reconstruction) and multi plane reconstruction algorithm of medical image; calculation of the error between surgical positioning error of navigation system and actual patient coordinates. (2) Research on the accuracy of infrared active tracking navigation system in oral implant surgery: with high-precision active tracking infrared positioning and tracking technology, the virtual three-dimensional data of multi-source medical image reconstruction after the above steps and the planning results generated by the operation planning software are imported into the hand navigation system for space registration, and surgery is performed according to the preset surgical path, To ensure the safety and accuracy of the surgery, the research contents include: accuracy analysis of implant implantation; reliability and real-time analysis of navigation system; effectiveness and safety of navigation implant in complete edentulous jaw. (3) Safety study of surgical navigation system Using augmented reality technology, the virtual three-dimensional data reconstructed from processed CT / MRI / US images, computer-aided preoperative planning information and preoperative imaging images are integrated into one, so as to guide the operator to carry out automatic positioning and operation in the augmented reality environment. The contents to be studied include: positioning the dangerous anatomical areas during operation, and automatically real-time intelligent warning, so as to improve the accuracy of the operation To avoid important anatomical tissues; to develop augmented reality positioning system, so that the master-slave can see the lesions and important tissues through the screen in the process of operation, so as to avoid surgical accidents; to record the incidence of surgical complications and operation time, and summarize the rules, which is of great significance to establish the standardized process of oral navigation surgery. |
||||||||||||||||||||||
|
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) 口腔粘膜病变(如扁平苔藓); |
||||||||||||||||||||||
|
Exclusion criteria: |
1) Oral mucosal lesions (such as lichen planus); |
||||||||||||||||||||||
|
研究实施时间: Study execute time: |
从 From 2020-11-01 00:00:00至 To 2022-12-31 00:00:00 |
征募观察对象时间: Recruiting time: |
从 From 2020-11-01 00:00:00 至 To 2021-11-01 00:00:00 |
|
干预措施: Interventions: |
|
|
研究实施地点: Countries of recruitment and research settings: |
|
||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|
测量指标: Outcomes: |
|
|
采集人体标本:
Collecting sample(s)
|
|
|
征募研究对象情况: Recruiting status: |
尚未开始 Not yet recruiting |
年龄范围: Participant age: |
|
||||||
|
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): |
随机:本研究将采用交互式网络响应系统(interactive web response system,IWRS),在系统中,负责随时化的统计师在后台事先设计好随机化参数,由系统生成随机分配表。研究者通过电话或网络访问服务器,输入入组患者的信息后,由系统根据机分配表给出相应的编号及相应组别,避免了研究者和受试者有意选择组别。此外,在由于考虑将分中心作为一个分层因素的研究中,通过中央随机系统来统一控整个试验随机方案的分配,各分中心可竞争随机入组,不仅可以有效地避免因各分中心试进度不一导致的延期,缩短临床试验周期,同时也能保障整个试验中组间的均衡,申办者也可以实时掌握各分中心受试者入组进度并进行调整优化。 |
||||||||
|
Randomization Procedure (please state who generates the random number sequence and by what method): |
Randomization: This study will adopt interactive Web response system (IWRS), in which the statisticians who are responsible for the randomization will design the randomization parameters in advance in the background, and the system will generate the random allocation table. The researchers access the server through tel |
||||||||
|
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: |
盲法:对负责影像评估人员设盲,禁止其获知受试者分组组别,避免主观因素影响试验指标的评价而出现偏倚。 |
|
Blinding: |
Blind method: blind the person in charge of image evaluation, forbid them to know the group of subjects, and avoid bias caused by subjective factors affecting the evaluation of test indexes. |
|
试验完成后的统计结果(上传文件): |
|
|
Calculated Results after
|
|
|
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): |
2023年 文章发表 |
|
The way of sharing IPD”(include metadata and protocol, If use web-based public database, please provide the url): |
2023 Article publication |
|
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: |
本研究采用电子数据收集系统(EDC)。由指定的研究中心工作人员按照研究方案的要求将数据录入到电子病历报告表(CRF)中。研究者所在研究中心的工作人员只有在接受了培训之后方可进入EDC系统。主研究者(PI)负责确保录入到eCRF中的数据是完整和准确的,并且是及时录入和更新的数据。研究者通过在受试者的eCRF上进行电子签名确认审阅并批准此记录。申办者/CRO将对研究中心工作人员录入到CRF中数据的完整性与准确性进行审核。将创建说明问题性质并且要求进行澄清的电子数据询问表,对偏差、缺失值进行询问,随后将通过EDC系统发送至研究中心。要求由研究者指定的研究中心工作人员对询问表立即进行回答,并对数据作出任何必要的变更。在数据审核并确认建立的数据库正确后,由数据管理人员、主要研究者、统计分析人员、实施者和监查管理人员共同对数据进行审核,并完成分析人群的最后定义及判断,之后对数据进行锁定。锁定后的数据或文件不再做改动。数据锁定之后发现的问题,经确认后在统计分析程序中进行修正。 |
|
Data collection and Management (A standard data collection and management system include a CRF and an electronic data capture: |
Electronic data collection system (EDC) was used in this study. The designated research center staff will input the data into the electronic medical record report form (CRF) according to the requirements of the research plan. The staff of the researcher's research center can only enter the EDC system after receiving the training. The primary investigator (PI) is responsible for ensuring that the data entered into the ECRF is complete and accurate, and is timely entered and updated. The researchers confirmed the review and approval of the record by electronic signature on the subject's ECRF. The sponsor / cro will review the integrity and accuracy of the data entered into CRF by the staff of the research center. An electronic data inquiry form will be created to explain the nature of the problem and ask for clarification, asking for deviation and missing value, and then sent to the research center through EDC system. The staff of the research center designated by the researcher is required to answer the inquiry form immediately and make any necessary changes to the data. After the data is reviewed and the established database is confirmed to be correct, data management personnel, main researchers, statistical analysts, implementers and audit management personnel jointly review the data, complete the final definition and judgment of the analysis population, and then lock the data. The locked data or file will not be changed. Problems found after data locking shall be corrected in the statistical analysis program after confirmation. |
|
数据与安全监察委员会: Data and Safety Monitoring Committee: |
有/Yes |