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Published in: Child's Nervous System 9/2017

01-09-2017 | Original Paper

Exploring for the optimal structural design for the 3D-printing technology for cranial reconstruction: a biomechanical and histological study comparison of solid vs. porous structure

Authors: Jun Young Lim, Namhyun Kim, Jong-Chul Park, Sun K. Yoo, Dong Ah Shin, Kyu-Won Shim

Published in: Child's Nervous System | Issue 9/2017

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Abstract

Purpose

Cranioplasty for recovering skull defects carries the risk for a number of complications. Various materials are used, including autologous bone graft, metallic materials, and non-metallic materials, each of which has advantages and disadvantages. If the use of autologous bone is not feasible, those artificial materials also have constraints in the case of complex anatomy and/or irregular defects.

Material and methods

This study used metal 3D-printing technology to overcome these existing drawbacks and analyze the clinical and mechanical performance requirements. To find an optimal structure that satisfied the structural and mechanical stability requirements, we evaluated biomechanical stability using finite element analysis (FEA) and mechanical testing. To ensure clinical applicability, the model was subjected to histological evaluation. Each specimen was implanted in the femur of a rabbit and was evaluated using histological measurements and push-out test.

Results and Conclusion

We believe that our data will provide the basis for future applications of a variety of unit structures and further clinical trials and research, as well as the direction for the study of other patient-specific implants.
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Metadata
Title
Exploring for the optimal structural design for the 3D-printing technology for cranial reconstruction: a biomechanical and histological study comparison of solid vs. porous structure
Authors
Jun Young Lim
Namhyun Kim
Jong-Chul Park
Sun K. Yoo
Dong Ah Shin
Kyu-Won Shim
Publication date
01-09-2017
Publisher
Springer Berlin Heidelberg
Published in
Child's Nervous System / Issue 9/2017
Print ISSN: 0256-7040
Electronic ISSN: 1433-0350
DOI
https://doi.org/10.1007/s00381-017-3486-y

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