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临床试验/NCT06273449
NCT06273449招募中不适用

A Smart Digital Workflow Towards High Precision and Through-Put Production for Removable Partial Dentures

National Dental Centre, Singapore1 个研究点 分布在 1 个国家目标入组 141 人开始时间: 2022年12月29日最近更新:
适应症
干预措施

试验速览

阶段
不适用
状态
招募中
入组人数
141
试验地点
1
主要终点
Evaluation of Precision in Fabricated Metal Frameworks Across Three Workflows

研究概览

简要总结

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.

详细描述

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.

研究设计

研究类型
Interventional
分配方式
Randomized
干预模型
Sequential
主要目的
Supportive Care
盲法
None

入排标准

年龄范围
21 Years 至 —(Adult, Older Adult)
性别
All
接受健康志愿者
是

入选标准

  • •above the age of 21 years' old
  • •medically fit
  • •with prior denture experience
  • •either maxillary or mandible partial dentate
  • •partial edentulism with stable occlusion

排除标准

  • •History of maladaptation to denture use
  • •With maxillofacial or mandible bone defect(s)
  • •Known allergic reaction to cobalt chromium metal

研究组 & 干预措施

Group 1

No Intervention

Conventional:

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

Experimental

Partial 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.

干预措施: Group 2 - 3D Printed Removable Partial Denture (Device)

Group 3

Experimental

SmartRPD 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.

干预措施: Group 3 - 3D Printed Removable Partial Denture (Device)

结局指标

主要结局

Evaluation of Precision in Fabricated Metal Frameworks Across Three Workflows

时间窗: Assessed at the end of the study period, up to 14 months

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

Comparison of Patient Satisfaction with RPD Prostheses Fabricated Using Three Workflows

时间窗: From date of randomization during first visit till 3rd follow up visit, assessed up to 14 months

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.

Comparison of Fabrication Cost and Time Across Three Workflows

时间窗: Assessed at the end of the study period, up to 14 months

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.

次要结局

未报告次要终点

研究者

申办方类型
Other
责任方
Sponsor

研究点 (1)

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