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Published on: August 24, 2018
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Computer-aided design and fabrication of nasal prostheses: a semi-automated algorithm using statistical shape
T Bannink1, M de Ridder1, S Bouman1
1Department of Head and Neck Oncology and Surgery, Netherlands Cancer Institute-Antoni van Leeuwenhoek, Amsterdam, The Netherlands.
Summary
This study introduces a new method for designing and fabricating nasal prostheses, reducing reliance on expert skills. This innovation ensures high-quality, patient-specific facial restoration with 3D printing technology.
Area of Science:
- Biomedical Engineering
- Medical Device Design
- Anaplastology
Background:
- Traditional nasal prosthesis fabrication requires specialized anaplastologist expertise.
- Existing methods can be time-consuming and may not always achieve optimal patient-specific fit and aesthetics.
Purpose of the Study:
- To develop an innovative, automated method for designing and fabricating nasal prostheses.
- To reduce dependency on anaplastologist expertise while maintaining high quality and aesthetic outcomes.
- To enable patients to restore their normal facial appearance effectively.
Main Methods:
- Utilized statistical shape modeling with a morphable face model and 3D data (optical scanning or CT).
- Implemented an automated design process for patient-specific fit and appearance.
- Employed 3D printing for mold fabrication using standard prosthesis materials.
Main Results:
- The new method successfully met all design requirements, replacing traditional analog impression techniques.
- Prostheses fabricated using this method demonstrated aesthetic equivalence to conventionally made ones.
- Significantly reduced the skill dependency inherent in traditional prosthetic design and fabrication.
Conclusions:
- The developed method offers a promising approach for both temporary and definitive nasal prostheses.
- Facilitates potential for remote prosthesis fabrication, improving access to care.
- While requiring new skills in data acquisition and algorithm control, the technology is becoming more accessible, with future advancements promising greater independence from specialized skills.
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