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Related Experiment Video

Updated: May 10, 2026

Quasistatic Mechanical Testing for Computer-Aided Design and Manufacturing Occlusal Veneers Cemented to Milled Dentin Analog Material

Quasistatic Mechanical Testing for Computer-Aided Design and Manufacturing Occlusal Veneers Cemented to Milled Dentin Analog Material

Published on: December 20, 2024

Face simulation system for complete dentures by applying rapid prototyping.

Hiroshi Katase¹, Manabu Kanazawa, Masanao Inokoshi

¹Complete Denture Prosthodontics, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan.

The Journal of Prosthetic Dentistry

|June 15, 2013

Summary

This study found that face simulation for CAD/CAM dentures accurately predicts patient appearance after tooth arrangement adjustments. The refined simulation method significantly improved accuracy, making it clinically useful for complete denture fabrication.

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Last Updated: May 10, 2026

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Area of Science:

Dental Technology
Computer-Aided Design/Computer-Aided Manufacturing (CAD/CAM)
Facial Simulation

Background:

Computer-aided design/computer-aided manufacturing (CAD/CAM) technology is increasingly used for complete denture fabrication.
The integration of face simulation programs into CAD/CAM workflows for dentures is promising but lacks validation.
The accuracy of existing face simulation programs for complete dentures is not well-established.

Purpose of the Study:

To evaluate the accuracy of a novel face simulation method for complete dentures.
To assess the reliability of simulating facial appearance after modifying artificial tooth arrangements in computer-fabricated dentures.

Main Methods:

Ten edentulous participants' facial data were integrated with denture data for simulation.
Facial data from participants wearing Rapid Prototyping (RP) dentures were compared to simulations.
Normal distances at ten anthropological points were calculated, and simulations were iteratively refined.

Main Results:

Initial simulations with differences exceeding 1 mm were improved.
The modified simulation successfully reduced normal distance differences to under 0.5 mm.
Statistical analysis using the Wilcoxon Signed Rank Test (α=.05) supported the findings.

Conclusions:

The face simulation method demonstrated high accuracy in predicting facial appearance for complete dentures.
The findings suggest this computer-based face simulation approach may be clinically valuable for denture fabrication.
This technology enhances the predictability and potentially the patient satisfaction with CAD/CAM dentures.