Parametric design optimisation of proximal humerus plates based on finite element method

Abstract

Optimal treatment of proximal humerus fractures remains controversial. Locking plates offer theoretical advantages but are associated with complications in the clinic. This study aimed to perform parametric design optimisation of proximal humerus plates to enhance their mechanical performance. A finite element (FE) model was developed that simulated a two-part proximal humerus fracture that had been treated with a Spatial Subchondral Support (S3) plate and subjected to varus bending. The FE model was validated against in vitro biomechanical test results. The predicted load required to apply 5 mm cantilever varus bending was only 0.728% lower. The FE model was then used to conduct a parametric optimisation study to determine the orientations of inferomedial plate screws that would yield minimum fracture gap change (i.e. optimal stability). The feasible design space was automatically identified by imposing clinically relevant constraints, and the creation process of each FE model for the design optimisation was automated. Consequently, 538 FE models were generated, from which the obtained optimal model had 4.686% lower fracture gap change (0.156 mm) than that of the manufacturer’s standard plate. Whereas its screws were oriented towards the inferomedial region and within the range of neck-shaft angle of a healthy subject. The methodology presented in this study promises future applications in patient-specific design optimisation of implants for other regions of the human body.

Publication DOI: https://doi.org/10.1007/s10439-018-02160-6
Divisions: College of Health & Life Sciences
College of Health & Life Sciences > School of Biosciences
Additional Information: This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Publication ISSN: 1573-9686
Last Modified: 12 Feb 2024 08:39
Date Deposited: 07 Aug 2020 08:36
Full Text Link:
Related URLs: https://link.sp ... 439-018-02160-6 (Publisher URL)
PURE Output Type: Article
Published Date: 2019-02-15
Published Online Date: 2018-11-01
Accepted Date: 2018-10-22
Authors: Jabran, Ali (ORCID Profile 0000-0002-2354-281X)
Peach, Chris
Zou, Zhenmin
Ren, Lei

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