Evidence map›Paper›PMID 39716270›Full record

ArticleBiomedical engineering online2024

Experimental and computational evaluation of knee implant wear and creep under in vivo and ISO boundary conditions.

Michael J Dreyer, Seyyed Hamed Hosseini Nasab, Philippe Favre, Fabian Amstad, Rowena Crockett, William R Taylor, Bernhard Weisse

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Article in Biomedical engineering online, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Michael J DreyerLaboratory for Movement Biomechanics, Institute for Biomechanics, ETH Zürich, Gloriastrasse 37/39, 8092, Zurich, Switzerland.
Seyyed Hamed Hosseini NasabLaboratory for Movement Biomechanics, Institute for Biomechanics, ETH Zürich, Gloriastrasse 37/39, 8092, Zurich, Switzerland.
Philippe FavreZimmer Biomet, Zug, Switzerland.
Fabian AmstadZimmer Biomet, Zug, Switzerland.
Rowena CrockettLaboratory for Surface Science and Coating Technologies, Empa, Dübendorf, Switzerland.
William R TaylorLaboratory for Movement Biomechanics, Institute for Biomechanics, ETH Zürich, Gloriastrasse 37/39, 8092, Zurich, Switzerland. bt@ethz.ch.
Bernhard WeisseLaboratory for Mechanical Systems Engineering, Empa, Dübendorf, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundExperimental knee implant wear testing according to ISO 14243 is a standard procedure, but it inherently possesses limitations for preclinical evaluations due to extended testing periods and costly infrastructure. In an effort to overcome these limitations, we hereby develop and experimentally validate a finite-element (FE)-based algorithm, including a novel cross-shear and contact pressure dependent wear and creep model, and apply it towards understanding the sensitivity of wear outcomes to the applied boundary conditions.

methodsSpecifically, we investigated the application of in vivo data for level walking from the publicly available "Stan" data set, which contains single representative tibiofemoral loads and kinematics derived from in vivo measurements of six subjects, and compared wear outcomes against those obtained using the ISO standard boundary conditions. To provide validation of the numerical models, this comparison was reproduced experimentally on a six-station knee wear simulator over 5 million cycles, testing the same implant Stan's data was obtained from.

resultsExperimental implementation of Stan's boundary conditions in displacement control resulted in approximately three times higher wear rates (4.4 vs. 1.6 mm

conclusionsThe FE wear model is suitable for supporting future patient-specific models and development of novel implant designs. Incorporating the Stan data set alongside ISO boundary conditions emphasized the value of using measured kinematics in displacement control for reliably replicating in vivo joint mechanics in wear simulation. Future work should focus on expanding the range of daily activities simulated and addressing model sensitivity to contact mechanics to further enhance predictive accuracy.

Indexed as

Finite Element AnalysisKnee ProsthesisMaterials TestingBiomechanical PhenomenaComputer SimulationHumansMechanical PhenomenaMechanical TestsPressureCreepImplantKneeModelSimulationWear

Identifiers

PMID39716270
PMCPMC11664841

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.