Literature DB >> 32841833

A comprehensive testing protocol for macro-scale mechanical characterization of knee articular cartilage with documented experimental repeatability.

Snehal Chokhandre1, Ahmet Erdemir2.   

Abstract

Articular cartilage mechanics has been extensively studied with various approaches and mechanical characterization strategies. However testing protocols can be highly varying and difficult to reproduce, particularly for specimen-specific analyses. Detailed knowledge of testing protocols is important for reliable use in concordant finite element analyses. This study presents a detailed, robust procedure for cartilage testing-with multiple regions and per sample repeatability data. Samples were taken from femur, tibia and patella of a human cadaver knee and tested in unconfined compression, confined compression and uniaxial tension. Each test was repeated three times. The testing protocols provide elastic and time dependent characterization data. Results, for example equilibrium modulus of 0.28 (0.0024) MPa for patella under unconfined compression indicate that variability is well controlled and that protocol(s) presented here can generate repeatable specimen-specific data. As per the authors' knowledge this is the first study to report in-depth uncertainty assessment of the experimental procedures for multi-region knee cartilage characterization.
Copyright © 2020 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Articular cartilage; Experimental repeatability; Human knee

Mesh:

Year:  2020        PMID: 32841833      PMCID: PMC7655550          DOI: 10.1016/j.jmbbm.2020.104025

Source DB:  PubMed          Journal:  J Mech Behav Biomed Mater        ISSN: 1878-0180


  40 in total

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  1 in total

1.  Open Knee(s): A Free and Open Source Library of Specimen-Specific Models and Related Digital Assets for Finite Element Analysis of the Knee Joint.

Authors:  Snehal Chokhandre; Ariel Schwartz; Ellen Klonowski; Benjamin Landis; Ahmet Erdemir
Journal:  Ann Biomed Eng       Date:  2022-09-14       Impact factor: 4.219

  1 in total

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