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Posterior cruciate ligament balancing in total knee arthroplasty: a numerical study with a dynamic force controlled knee model

BACKGROUND: Adequate soft tissue balancing is a key factor for a successful result after total knee arthroplasty (TKA). Posterior cruciate ligament (PCL) is the primary restraint to posterior translation of the tibia after cruciate retaining TKA and is also responsible for the amount of joint compre...

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Autores principales: Steinbrück, Arnd, Woiczinski, Matthias, Weber, Patrick, Müller, Peter Ernst, Jansson, Volkmar, Schröder, Christian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4110373/
https://www.ncbi.nlm.nih.gov/pubmed/24990257
http://dx.doi.org/10.1186/1475-925X-13-91
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author Steinbrück, Arnd
Woiczinski, Matthias
Weber, Patrick
Müller, Peter Ernst
Jansson, Volkmar
Schröder, Christian
author_facet Steinbrück, Arnd
Woiczinski, Matthias
Weber, Patrick
Müller, Peter Ernst
Jansson, Volkmar
Schröder, Christian
author_sort Steinbrück, Arnd
collection PubMed
description BACKGROUND: Adequate soft tissue balancing is a key factor for a successful result after total knee arthroplasty (TKA). Posterior cruciate ligament (PCL) is the primary restraint to posterior translation of the tibia after cruciate retaining TKA and is also responsible for the amount of joint compression. However, it is complex to quantify the amount of ligament release with its effects on load bearing and kinematics in TKA and limited both in vivo and in vitro. The goal of this study was to create a dynamic and deformable finite element model of a full leg and analyze a stepwise release of the PCL regarding knee kinematics, pressure distribution and ligament stresses. METHODS: A dynamic finite element model was developed in Ansys V14.0 based on boundary conditions of an existing knee rig. A cruciate retraining knee prosthesis was virtually implanted. Ligament and muscle structures were simulated with modified spring elements. Linear elastic materials were defined for femoral component, inlay and patella cartilage. A restart algorithm was developed and implemented into the finite element simulation to hold the ground reaction force constant by adapting quadriceps force. After simulating the unreleased PCL model, two models were developed and calculated with the same boundary conditions with a 50% and 75% release of the PCL stiffness. RESULTS: From the beginning of the simulation to approximately 35° of flexion, tibia moves posterior related to the femur and with higher flexion anteriorly. Anterior translation of the tibia ranged from 5.8 mm for unreleased PCL to 3.7 mm for 75% PCL release (4.9 mm 50% release). A decrease of maximum von Mises equivalent stress on the inlay was given with PCL release, especially in higher flexion angles from 11.1 MPa for unreleased PCL to 8.9 MPa for 50% release of the PCL and 7.8 MPa for 75% release. CONCLUSIONS: Our study showed that dynamic FEM is an effective method for simulation of PCL balancing in knee arthroplasty. A tight PCL led in silico to more anterior tibia translation, a higher collateral ligament and inlay stress, while retropatellar pressure remained unchanged. Surgeons may take these results in vivo into account.
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spelling pubmed-41103732014-08-04 Posterior cruciate ligament balancing in total knee arthroplasty: a numerical study with a dynamic force controlled knee model Steinbrück, Arnd Woiczinski, Matthias Weber, Patrick Müller, Peter Ernst Jansson, Volkmar Schröder, Christian Biomed Eng Online Research BACKGROUND: Adequate soft tissue balancing is a key factor for a successful result after total knee arthroplasty (TKA). Posterior cruciate ligament (PCL) is the primary restraint to posterior translation of the tibia after cruciate retaining TKA and is also responsible for the amount of joint compression. However, it is complex to quantify the amount of ligament release with its effects on load bearing and kinematics in TKA and limited both in vivo and in vitro. The goal of this study was to create a dynamic and deformable finite element model of a full leg and analyze a stepwise release of the PCL regarding knee kinematics, pressure distribution and ligament stresses. METHODS: A dynamic finite element model was developed in Ansys V14.0 based on boundary conditions of an existing knee rig. A cruciate retraining knee prosthesis was virtually implanted. Ligament and muscle structures were simulated with modified spring elements. Linear elastic materials were defined for femoral component, inlay and patella cartilage. A restart algorithm was developed and implemented into the finite element simulation to hold the ground reaction force constant by adapting quadriceps force. After simulating the unreleased PCL model, two models were developed and calculated with the same boundary conditions with a 50% and 75% release of the PCL stiffness. RESULTS: From the beginning of the simulation to approximately 35° of flexion, tibia moves posterior related to the femur and with higher flexion anteriorly. Anterior translation of the tibia ranged from 5.8 mm for unreleased PCL to 3.7 mm for 75% PCL release (4.9 mm 50% release). A decrease of maximum von Mises equivalent stress on the inlay was given with PCL release, especially in higher flexion angles from 11.1 MPa for unreleased PCL to 8.9 MPa for 50% release of the PCL and 7.8 MPa for 75% release. CONCLUSIONS: Our study showed that dynamic FEM is an effective method for simulation of PCL balancing in knee arthroplasty. A tight PCL led in silico to more anterior tibia translation, a higher collateral ligament and inlay stress, while retropatellar pressure remained unchanged. Surgeons may take these results in vivo into account. BioMed Central 2014-07-02 /pmc/articles/PMC4110373/ /pubmed/24990257 http://dx.doi.org/10.1186/1475-925X-13-91 Text en Copyright © 2014 Steinbrück et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Steinbrück, Arnd
Woiczinski, Matthias
Weber, Patrick
Müller, Peter Ernst
Jansson, Volkmar
Schröder, Christian
Posterior cruciate ligament balancing in total knee arthroplasty: a numerical study with a dynamic force controlled knee model
title Posterior cruciate ligament balancing in total knee arthroplasty: a numerical study with a dynamic force controlled knee model
title_full Posterior cruciate ligament balancing in total knee arthroplasty: a numerical study with a dynamic force controlled knee model
title_fullStr Posterior cruciate ligament balancing in total knee arthroplasty: a numerical study with a dynamic force controlled knee model
title_full_unstemmed Posterior cruciate ligament balancing in total knee arthroplasty: a numerical study with a dynamic force controlled knee model
title_short Posterior cruciate ligament balancing in total knee arthroplasty: a numerical study with a dynamic force controlled knee model
title_sort posterior cruciate ligament balancing in total knee arthroplasty: a numerical study with a dynamic force controlled knee model
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4110373/
https://www.ncbi.nlm.nih.gov/pubmed/24990257
http://dx.doi.org/10.1186/1475-925X-13-91
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