Comparison between kinetic and kinetic-kinematic driven knee joint finite element models

Paul O. Bolcos, Mika E. Mononen, Ali Mohammadi, Mohammadhossein Ebrahimi, Matthew S. Tanaka, Michael A. Samaan, Richard B. Souza, Xiaojuan Li, Juha Sampo Suomalainen, Jukka S. Jurvelin, Juha Töyräs, Rami K. Korhonen

Research output: Contribution to journalArticlepeer-review

17 Scopus citations

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.

Original languageEnglish
Article number17351
JournalScientific Reports
Volume8
Issue number1
DOIs
StatePublished - Dec 1 2018

Bibliographical note

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. CSC-IT Center for Science, Finland, is acknowledged for computing resources.

Publisher Copyright:
© 2018, The Author(s).

ASJC Scopus subject areas

  • General

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