Publications

BibTex format

@article{Geraldes:2017:10.1002/jor.23309,
author = {Geraldes, DM and Hansen, U and Amis, AA},
doi = {10.1002/jor.23309},
journal = {Journal of Orthopaedic Research},
pages = {775--784},
title = {Parametric analysis of glenoid implant design and fixation type},
url = {http://dx.doi.org/10.1002/jor.23309},
volume = {35},
year = {2017}
}

Download

RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Common post-operative problems in shoulder arthroplasty such as glenoid loosening and joint instability may be reduced by improvements in glenoid design, shape, material choice and fixation method. A framework for parametric analysis of different implant fixation configurations was developed in order to efficiently sift through potential glenoid component designs and investigate the influence of design factors such as fixation type, component thickness and peg position, number, diameter and length in a multi-factorial design investigation. The proposed method allowed for simultaneous comparison of the performance of 344 different parametric variations of 10 different reference geometries with large central fixation features or small peripheral pegs, undergoing four different worst-case scenario loading conditions, averaging 64.7 seconds per model. The impact of design parameters were assessed for different factors responsible for post-operative problems in shoulder arthroplasty, such as bone volume preservation, stresses in the implant, central displacement or fixation stability, and the worst performing geometries all relied on conventional central fixation. Of the remaining geometries, four peripheral fixation configurations produced von Mises stresses comfortably below the material's yield strength. We show that the developed method allows for simple, direct, rapid and repeatable comparison of different design features, material choices or fixation methods by analyzing how they influence the bone-implant mechanical environment. The proposed method can provide valuable insight in implant design optimization by screening through multiple potential design modifications at an early design evaluation stage and highlighting the best performing combinations according to the failure mechanism to mitigate. This article is protected by copyright. All rights reserved.
AU  - Geraldes,DM
AU  - Hansen,U
AU  - Amis,AA
DO  - 10.1002/jor.23309
EP  - 784
PY  - 2017///
SN  - 1554-527X
SP  - 775
TI  - Parametric analysis of glenoid implant design and fixation type
T2  - Journal of Orthopaedic Research
UR  - http://dx.doi.org/10.1002/jor.23309
UR  - http://www.ncbi.nlm.nih.gov/pubmed/27219615
UR  - http://hdl.handle.net/10044/1/77229
VL  - 35
ER  -

Download

ProfessorAndrewAmis

Contact

Assistant

Location

Summary

Citation

BibTex format

RIS format (EndNote, RefMan)