A Smart Digital Workflow Towards High Precision and Through-Put Production for Removable Partial Dentures
1 other identifier
interventional
141
1 country
1
Brief Summary
Tooth loss is a major chronic problem in dentistry and edentulous elderly endures poorer quality of life worldwide. Removable partial dentures (RPDs) are the most widely accepted and cost-effective treatment for patients to restore oral functions. RPDs contain three components including the metal framework, denture base and acrylic teeth. Conventionally, RPD fabrication involves tedious clinical and dental laboratory procedures and is time consuming, labour-intensive, and often imprecise, therefore incapable of meeting the growing demands of RPD by an ageing population. The challenges to achieve a high quality and high-throughput RPD service lie in three aspects: 1) accuracy in capturing oral profile; 2) immediate oral information analysis and device design, and 3) automation in production.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for not_applicable
Started Dec 2022
Typical duration for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
December 29, 2022
CompletedFirst Submitted
Initial submission to the registry
November 7, 2023
CompletedFirst Posted
Study publicly available on registry
February 22, 2024
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 31, 2025
CompletedStudy Completion
Last participant's last visit for all outcomes
December 31, 2025
CompletedAugust 9, 2024
August 1, 2024
3 years
November 7, 2023
August 7, 2024
Conditions
Outcome Measures
Primary Outcomes (3)
Evaluation of Precision in Fabricated Metal Frameworks Across Three Workflows
The precision of fabricated RPD metal frameworks will be assessed by measuring the gaps between occlusal rests and corresponding rest seats of abutment teeth during the clinical try-in stage. Clinical parameters including support, retention, and stability will be evaluated by calibrated clinical evaluators to compare framework quality among three patient groups. Measurement: Gap measurements between occlusal rest and corresponding rest seat
Assessed at the end of the study period, up to 14 months
Comparison of Patient Satisfaction with RPD Prostheses Fabricated Using Three Workflows
Patient satisfaction with final RPD prostheses will be compared among three workflows. Assessment of patient satisfaction with various oral functions will be conducted using validated denture and oral health impact (OHIP) questionnaires. Measurement: Patient-reported satisfaction scores on denture and oral health impact questionnaires.
From date of randomization during first visit till 3rd follow up visit, assessed up to 14 months
Comparison of Fabrication Cost and Time Across Three Workflows
he study aims to compare fabrication cost and time spent on three workflows. Direct and indirect costs, clinical chair time, and laboratory work time will be measured based on an operational model in a dental clinic. Additionally, exploratory analysis will be conducted to assess changes in quality-adjusted life years attributable to different dental workflows. Measurement: Direct and indirect costs, clinical chair time, laboratory work time, and potential changes in quality-adjusted life years.
Assessed at the end of the study period, up to 14 months
Study Arms (3)
Group 1
NO INTERVENTIONConventional: The Standard of Care (SOC) workflow, which will act as a baseline compared to the other 2 groups. Teeth Profile Capture Method: Physical impression RPD Design Method: Based on stone model, using wax pattern RPD Fabrication Method: Lost wax casting
Group 2
EXPERIMENTALPartial Digital: Similar to the SOC, Group 2 adopts the same teeth profile capture method, where a physical impression of teeth profile is taken from the subject. However, instead of using physical wax pattern on the stone model for design, the stone model is scanned and, on the scan, the design is performed digitally. For fabrication of RPD in Group 2, instead of using lost wax casting as per the SOC, the digital design is used for additive manufacturing.
Group 3
EXPERIMENTALSmartRPD Digital: Group 3 adopts a different teeth profile capture method by using the intraoral scanner to digitally scan and save the subject's teeth profile. From the intraoral scan, a digital model of the subject's teeth profile is created. Similar to Group 2, but on the digital model instead, the design of RPD is digitally performed. The digital design, as per Group 2, is used for additive manufacturing.
Interventions
Teeth Profile Capture Method: Intraoral scan RPD Design Method: Based on intraoral scan, using design software RPD Fabrication Method: Additive manufacturing
Teeth Profile Capture Method: Physical impression RPD Design Method: Based on stone model, using design software RPD Fabrication Method: Additive manufacturing
Eligibility Criteria
You may qualify if:
- above the age of 21 years' old
- medically fit
- with prior denture experience
- either maxillary or mandible partial dentate
- partial edentulism with stable occlusion
You may not qualify if:
- History of maladaptation to denture use
- With maxillofacial or mandible bone defect(s)
- Known allergic reaction to cobalt chromium metal
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
National Dental Centre Singapore
Singapore, 168938, Singapore
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- NONE
- Purpose
- SUPPORTIVE CARE
- Intervention Model
- SEQUENTIAL
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
November 7, 2023
First Posted
February 22, 2024
Study Start
December 29, 2022
Primary Completion
December 31, 2025
Study Completion
December 31, 2025
Last Updated
August 9, 2024
Record last verified: 2024-08