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Biomechanical Modeling of Canine Retraction

Authors: Larson, Matthew Evans;

Biomechanical Modeling of Canine Retraction

Abstract

Objective: To create a comprehensive finite element model capable of analyzing the biomechanics of canine retraction. Methods: A half maxilla virtual model with an extracted first premolar was created from human computed tomography data. Accurate brackets and an 0.018 archwire were placed to model canine retraction under 0.5N and 1.0N of retraction force. A two-tooth substructural model was isolated to examine the importance of surrounding geometry. Additionally, mesh size and periodontal ligament (PDL) elastic modulus were varied to examine the effect on predictions. Comparisons were made to previously published clinical data. Results: The substructural model decreased computational load, but altered maximum stress up to 16.4%. Coarse mesh sizing affected displacement results up to 22% and maximum stress up to 47%. No PDL stiffness was able to accurately represent the clinical data. Conclusions: Modeling canine retraction was partially achieved, highlighting the importance of mesh sizing and the need to incorporate remodeling.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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