Literature DB >> 25168362

Non-destructive electromechanical assessment (Arthro-BST) of human articular cartilage correlates with histological scores and biomechanical properties.

S Sim1, A Chevrier2, M Garon3, E Quenneville4, A Yaroshinsky5, C D Hoemann6, M D Buschmann7.   

Abstract

OBJECTIVE: The hand-held Arthro-BST™ device is used to map electromechanical properties of articular cartilage. The purpose of the study was to evaluate correlation of electromechanical properties with histological, biochemical and biomechanical properties of cartilage.
METHOD: Electromechanical properties (quantitative parameter (QP)) of eight human distal femurs were mapped manually ex vivo using the Arthro-BST (1 measure/site, 5 s/measure, 3209 sites). Osteochondral cores were then harvested from different areas on the femurs and assessed with the Mankin histological score. Prior to histoprocessing, cores were tested in unconfined compression. A subset of the cores was analyzed with polarized light microscopy (PLM) to assess collagen structure. Biochemical assays were done on additional cores to obtain water content and glycosaminoglycan (GAG) content. The QP corresponding to each core was calculated by averaging all QPs collected within 6 mm of the core center.
RESULTS: The electromechanical QP correlated strongly with both the Mankin score and the PLM score (r = 0.73, P < 0.0001 and r = -0.70, P < 0.0001 respectively) thus accurately reflecting tissue quality and collagen architecture. Electromechanical QP also correlated strongly with biomechanical properties including fibril modulus (r = -0.76, P < 0.0001), matrix modulus (r = -0.69, P < 0.0001), and log of permeability (r = 0.72, P < 0.0001). The QP correlated weakly with GAG per wet weight and with water content (r = -0.50, P < 0.0003 and r = 0.39, P < 0.006 respectively).
CONCLUSION: Non-destructive electromechanical QP measurements correlate strongly with histological scores and biomechanical parameters providing a rapid and reliable assessment of articular cartilage quality.
Copyright © 2014 Osteoarthritis Research Society International. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Articular cartilage; Biomechanics; Mankin score; Osteoarthritis; Polarized light microscopy; Streaming potentials

Mesh:

Substances:

Year:  2014        PMID: 25168362     DOI: 10.1016/j.joca.2014.08.008

Source DB:  PubMed          Journal:  Osteoarthritis Cartilage        ISSN: 1063-4584            Impact factor:   6.576


  15 in total

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3.  Bilayer Implants: Electromechanical Assessment of Regenerated Articular Cartilage in a Sheep Model.

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4.  Nondestructive Assessment of Articular Cartilage Electromechanical Properties after Osteochondral Autologous and Allogeneic Transplantation in a Goat Model.

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5.  In vivo biochemical assessment of cartilage with gagCEST MRI: Correlation with cartilage properties.

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6.  Osteochondral Repair and Electromechanical Evaluation of Custom 3D Scaffold Microstructured by Direct Laser Writing Lithography.

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Journal:  Cartilage       Date:  2019-05-09       Impact factor: 3.117

7.  Non-invasive Electroarthrography Measures Load-Induced Cartilage Streaming Potentials via Electrodes Placed on Skin Surrounding an Articular Joint.

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Journal:  Cartilage       Date:  2020-06-05       Impact factor: 3.117

8.  Electromechanical Assessment of Human Knee Articular Cartilage with Compression-Induced Streaming Potentials.

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Journal:  Cartilage       Date:  2016-01       Impact factor: 4.634

9.  Quantitative Arthroscopic Assessment of Articular Cartilage Quality by Means of Cartilage Electromechanical Properties.

Authors:  Tomas Mickevicius; Justinas Maciulaitis; Arvydas Usas; Rimtautas Gudas
Journal:  Arthrosc Tech       Date:  2018-06-18

10.  Impact of storage conditions on electromechanical, histological and histochemical properties of osteochondral allografts.

Authors:  Tomas Mickevicius; Alius Pockevicius; Audrius Kucinskas; Rimtautas Gudas; Justinas Maciulaitis; Aurelija Noreikaite; Arvydas Usas
Journal:  BMC Musculoskelet Disord       Date:  2015-10-23       Impact factor: 2.362

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