Literature DB >> 17573168

Indentation stiffness does not discriminate between normal and degraded articular cartilage.

Cameron P Brown1, Ross W Crawford, Adekunle Oloyede.   

Abstract

BACKGROUND: Relative indentation characteristics are commonly used for distinguishing between normal healthy and degraded cartilage. The application of this parameter in surgical decision making and an appreciation of articular cartilage biomechanics has prompted us to hypothesise that it is difficult to define a reference stiffness to characterise normal articular cartilage.
METHODS: This hypothesis is tested for validity by carrying out biomechanical indentation of articular cartilage samples that are characterised as visually normal and degraded relative to proteoglycan depletion and collagen disruption. Compressive loading was applied at known strain rates to visually normal, artificially degraded and naturally osteoarthritic articular cartilage and observing the trends of their stress-strain and stiffness characteristics.
FINDINGS: While our results demonstrated a 25% depreciation in the stiffness of individual samples after proteoglycan depletion, they also showed that when compared to the stiffness of normal samples only 17% lie outside the range of the stress-strain behaviour of normal samples.
INTERPRETATION: We conclude that the extent of the variability in the properties of normal samples, and the degree of overlap (81%) of the biomechanical properties of normal and degraded matrices demonstrate that indentation data cannot form an accurate basis for distinguishing normal from abnormal articular cartilage samples with consequences for the application of this mechanical process in the clinical environment.

Entities:  

Mesh:

Year:  2007        PMID: 17573168     DOI: 10.1016/j.clinbiomech.2007.04.013

Source DB:  PubMed          Journal:  Clin Biomech (Bristol, Avon)        ISSN: 0268-0033            Impact factor:   2.063


  6 in total

1.  Repeated measurement of mechanical properties in viable osteochondral explants following a single blunt impact injury.

Authors:  P S Ramakrishnan; D R Pedersen; N J Stroud; D J McCabe; J A Martin
Journal:  Proc Inst Mech Eng H       Date:  2011-10       Impact factor: 1.617

2.  Spatial mapping of proteoglycan content in articular cartilage using near-infrared (NIR) spectroscopy.

Authors:  Isaac O Afara; Hayley Moody; Sanjleena Singh; Indira Prasadam; Adekunle Oloyede
Journal:  Biomed Opt Express       Date:  2014-12-15       Impact factor: 3.732

3.  Assessment of Native Human Articular Cartilage: A Biomechanical Protocol.

Authors:  Wassif Kabir; Claudia Di Bella; Peter F M Choong; Cathal D O'Connell
Journal:  Cartilage       Date:  2020-11-20       Impact factor: 3.117

4.  Determination of two fluoroquinolones and their combinations with hyaluronan effect in in vitro canine cartilage explants.

Authors:  Puntita Siengdee; Waranee Pradit; Siriwadee Chomdej; Korakot Nganvongpanit
Journal:  PeerJ       Date:  2019-03-12       Impact factor: 2.984

5.  Machine Learning Classification of Articular Cartilage Integrity Using Near Infrared Spectroscopy.

Authors:  Isaac O Afara; Jaakko K Sarin; Simo Ojanen; Mikko A J Finnilä; Walter Herzog; Simo Saarakkala; Rami K Korhonen; Juha Töyräs
Journal:  Cell Mol Bioeng       Date:  2020-03-09       Impact factor: 2.321

6.  Effects of corticosteroids and their combinations with hyaluronanon on the biochemical properties of porcine cartilage explants.

Authors:  Puntita Siengdee; Tiwaporn Radeerom; Similan Kuanoon; Thippaporn Euppayo; Waranee Pradit; Siriwadee Chomdej; Siriwan Ongchai; Korakot Nganvongpanit
Journal:  BMC Vet Res       Date:  2015-12-04       Impact factor: 2.741

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.