Accuracy of Dental Implant Position Robotic Assistance, Dynamic Navigation, or Static Guide?
NCT05892406 · Status: UNKNOWN · Phase: NA · Type: INTERVENTIONAL · Enrollment: 45
Last updated 2023-09-07
Summary
For free hand dental implant placement, a key difficulty is to accurately control the position. Improving precision of dental implant placement is considered important for safety and efficacy of tooth replacement with dental implants. There are 3 available methods to improve implant position according to a digitally constructed prosthetically guided plan: the use of a 3D printed static guide, the use of a dynamic navigation system or the use of a robotic system. The goal of this randomized controlled trial is to compare the positional implant accuracy, the surgical time, and patient satisfaction among three methods of digital guidance: the use of a 3D printed static guide, dynamic navigation, and robotic assisted surgery. Patients requiring single tooth replacement with a dental implant will be digitally planned using a CBCT and an intraoral digital scan. Subjects will be randomized to one of the three treatment modalities based on the plan. The accuracy of placement will be assessed evaluating the difference between the planned and the actual position using a follow-up scan taken at the end of the surgery. Subjects will be followed up for one year to assess both patient reported and professional outcomes.
Conditions
- Dental Implant
Interventions
- DEVICE
-
Static guide
A static guide will be designed and fabricated based on CBCT and intra-oral scan. Implant will be placed under the assistance of statistic guide through the whole procedure.
- DEVICE
-
Dynamic navigation
Implant will be placed under the assistance of dynamic navigation.
- DEVICE
-
Robotic system
Implant will be placed under robotic arm and human collaboration.
Sponsors & Collaborators
-
Shanghai Ninth People's Hospital Affiliated to Shanghai Jiao Tong University
lead OTHER
Principal Investigators
-
Maurizio Tonetti, PhD · Shanghai Ninth People's Hospital Affiliated to Shanghai Jiao Tong University
Study Design
- Allocation
- RANDOMIZED
- Purpose
- TREATMENT
- Masking
- SINGLE
- Model
- PARALLEL
Eligibility
- Min Age
- 18 Years
- Max Age
- 70 Years
- Sex
- ALL
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2023-07-01
- Primary Completion
- 2024-10-30
- Completion
- 2024-11-15
Countries
- China
Study Locations
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