Abstract

Use of knee joint finite element models for diagnostic purposes is challenging due to their complexity. Therefore, simpler models are needed for studies where a high number of patients need to be analyzed, without compromising the results of the model. In this study, more complex, kinetic (forces and moments) and simpler, kinetic-kinematic (forces and angles) driven finite element models were compared during the stance phase of gait. Patella and tendons were included in the most complex model, while they were absent in the simplest model. The greatest difference between the most complex and simplest models was observed in the internal-external rotation and axial joint reaction force, while all other rotations, translations and joint reaction forces were similar to one another. In terms of cartilage stresses and strains, the simpler models behaved similarly with the more complex models in the lateral joint compartment, while minor differences were observed in the medial compartment at the beginning of the stance phase. We suggest that it is feasible to use kinetic-kinematic driven knee joint models with a simpler geometry in studies with a large cohort size, particularly when analyzing cartilage responses and failures related to potential overloads.

Document Type

Article

Publication Date

11-26-2018

Notes/Citation Information

Published in Scientific Reports, v. 8, article no. 17351, p. 1-11.

© The Author(s) 2018

This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

Digital Object Identifier (DOI)

https://doi.org/10.1038/s41598-018-35628-5

Funding Information

Financial support from University of Eastern Finland’s Doctoral Programme in Science, Technology and Computing (SCITECO), Academy of Finland (grant no. 269315, 286526 and 305138), Sigrid Juselius foundation, the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 755037), and National Institutes of Health (NIH/NIAMS P50 AR060752) are acknowledged.

Related Content

The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.

Supplementary information accompanies this paper at https://doi.org/10.1038/s41598-018-35628-5.

41598_2018_35628_MOESM1_ESM.docx (577 kB)
Supplementary material

Share

COinS