Many Tribology Group publications are Open Access thanks to funding from the EPSRC.

Citation

BibTex format

@article{Borges:2014:10.1016/j.joca.2014.07.014,
author = {Borges, PDN and Forte, AE and Vincent, TL and Dini, D and Marenzana, M},
doi = {10.1016/j.joca.2014.07.014},
journal = {Osteoarthritis and Cartilage},
pages = {1419--1428},
title = {Rapid, automated imaging of mouse articular cartilage by microCT for early detection of osteoarthritis and finite element modelling of joint mechanics},
url = {http://dx.doi.org/10.1016/j.joca.2014.07.014},
volume = {22},
year = {2014}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - ObjectiveMouse articular cartilage (AC) is mostly assessed by histopathology and its mechanics is poorly characterised. In this study: (1) we developed non-destructive imaging for quantitative assessment of AC morphology and (2) evaluated the mechanical implications of AC structural changes.MethodsKnee joints obtained from naïve mice and from mice with osteoarthritis (OA) induced by destabilization of medial meniscus (DMM) for 4 and 12 weeks, were imaged by phosphotungstic acid (PTA) contrast enhanced micro-computed tomography (PTA-CT) and scored by conventional histopathology. Our software (Matlab) automatically segmented tibial AC, drew two regions centred on each tibial condyle and evaluated the volumes included. A finite element (FE) model of the whole mouse joint was implemented to evaluate AC mechanics.ResultsOur method achieved rapid, automated analysis of mouse AC (structural parameters in <10 h from knee dissection) and was able to localise AC loss in the central region of the medial tibial condyle. AC thickness decreased by 15% at 4 weeks and 25% at 12 weeks post DMM surgery, whereas histopathology scores were significantly increased only at 12 weeks. FE simulations estimated that AC thinning at early-stages in the DMM model (4 weeks) increases contact pressures (+39%) and Tresca stresses (+43%) in AC.ConclusionPTA-CT imaging is a fast and simple method to assess OA in murine models. Once applied more extensively to confirm its robustness, our approach will be useful for rapidly phenotyping genetically modified mice used for OA research and to improve the current understanding of mouse cartilage mechanics.
AU - Borges,PDN
AU - Forte,AE
AU - Vincent,TL
AU - Dini,D
AU - Marenzana,M
DO - 10.1016/j.joca.2014.07.014
EP - 1428
PY - 2014///
SN - 1063-4584
SP - 1419
TI - Rapid, automated imaging of mouse articular cartilage by microCT for early detection of osteoarthritis and finite element modelling of joint mechanics
T2 - Osteoarthritis and Cartilage
UR - http://dx.doi.org/10.1016/j.joca.2014.07.014
UR - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000343139800010&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR - https://www.sciencedirect.com/science/article/pii/S106345841401187X?via%3Dihub
UR - http://hdl.handle.net/10044/1/18154
VL - 22
ER -