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.
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. Towards this goal, we have developed an intelligent RPD design software prototype, SmartRPD, to generate RPD metal framework design using digital scans from patients. SmartRPD processes patient-specific scanned geometry instantly, provide diagnosis analysis and generate the first draft of metal framework design automatically, powered by a teeth geometry segmentation system, knowledge-based design algorithm and 3D geometry engines. Dentists make the final clinical changes and confirmation before sending the 3D digital files for 3D printing. Thereafter, an altered digital scan technique is used to register a precise digital scan of soft tissues under functioning, using the metal framework as a loading impression tray and digitally align to the initial oral scan. This resulted modified master scan file leads to a more accurate setting for the denture base in the subsequent procedures.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
SUPPORTIVE_CARE
Masking
NONE
Enrollment
141
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
National Dental Centre Singapore
Singapore, Singapore
RECRUITINGEvaluation 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
Time frame: 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.
Time frame: 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.
Time frame: Assessed at the end of the study period, up to 14 months
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