Literature DB >> 19114313

In vitro determination of biomechanical properties of human articular cartilage in osteoarthritis using multi-parametric MRI.

Vladimir Juras1, Michal Bittsansky, Zuzana Majdisova, Pavol Szomolanyi, Irene Sulzbacher, Stefan Gäbler, Jürgen Stampfl, Georg Schüller, Siegfried Trattnig.   

Abstract

The objective of this study was to evaluate the correlations between MR parameters and the biomechanical properties of naturally degenerated human articular cartilage. Human cartilage explants from the femoral condyles of patients who underwent total knee replacement were evaluated on a micro-imaging system at 3T. To quantify glycosaminoglycan (GAG) content, delayed gadolinium-enhanced MRI of the cartilage (dGEMRIC) was used. T(2) maps were created by using multi-echo, multi-slice spin echo sequences with six echoes: 15, 30, 45, 60, 75, and 90 ms. Data for apparent diffusion constant (ADC) maps were obtained from pulsed gradient spin echo (PGSE) sequences with five b-values: 10.472, 220.0, 627.0, 452.8, 724.5, and 957.7. MR parameters were correlated with mechanical parameters (instantaneous (I) and equilibrium (Eq) modulus and relaxation time (tau)), and the OA stage of each cartilage specimen was determined by histological evaluation of hematoxylin-eosin stained slices. For some parameters, a high correlation was found: the correlation of T(1Gd) vs Eq (r=0.8095), T(1Gd) vs I/Eq (r=-0.8441) and T(1Gd) vs tau (r=0.8469). The correlation of T(2) and ADC with selected biomechanical parameters was not statistically significant. In conclusion, GAG content measured by dGEMRIC is highly related to the selected biomechanical properties of naturally degenerated articular cartilage. In contrast, T(2) and ADC were unable to estimate these properties. The results of the study imply that some MR parameters can non-invasively predict the biomechanical properties of degenerated articular cartilage.

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Year:  2008        PMID: 19114313     DOI: 10.1016/j.jmr.2008.11.019

Source DB:  PubMed          Journal:  J Magn Reson        ISSN: 1090-7807            Impact factor:   2.229


  24 in total

1.  Improved MR-based characterization of engineered cartilage using multiexponential T2 relaxation and multivariate analysis.

Authors:  David A Reiter; Onyi Irrechukwu; Ping-Chang Lin; Somaieh Moghadam; Sarah Von Thaer; Nancy Pleshko; Richard G Spencer
Journal:  NMR Biomed       Date:  2012-01-29       Impact factor: 4.044

2.  Chemical exchange saturation transfer MR imaging of articular cartilage glycosaminoglycans at 3 T: Accuracy of B0 Field Inhomogeneity corrections with gradient echo method.

Authors:  Wenbo Wei; Guang Jia; David Flanigan; Jinyuan Zhou; Michael V Knopp
Journal:  Magn Reson Imaging       Date:  2013-10-09       Impact factor: 2.546

3.  Local tissue properties of human osteoarthritic cartilage correlate with magnetic resonance T(1) rho relaxation times.

Authors:  Simon Y Tang; Richard B Souza; Michael Ries; Paul K Hansma; Tamara Alliston; Xiaojuan Li
Journal:  J Orthop Res       Date:  2011-03-28       Impact factor: 3.494

Review 4.  Techniques and applications of in vivo diffusion imaging of articular cartilage.

Authors:  José G Raya
Journal:  J Magn Reson Imaging       Date:  2015-04-10       Impact factor: 4.813

5.  Strain-dependent T1 relaxation profiles in articular cartilage by MRI at microscopic resolutions.

Authors:  Yang Xia; Nian Wang; Jihyun Lee; Farid Badar
Journal:  Magn Reson Med       Date:  2011-03-30       Impact factor: 4.668

6.  Correlation between apparent diffusion coefficient and viscoelasticity of articular cartilage in a porcine model.

Authors:  T Aoki; A Watanabe; N Nitta; T Numano; M Fukushi; M Niitsu
Journal:  Skeletal Radiol       Date:  2012-01-11       Impact factor: 2.199

Review 7.  Quantitative parametric MRI of articular cartilage: a review of progress and open challenges.

Authors:  D A Binks; R J Hodgson; M E Ries; R J Foster; S W Smye; D McGonagle; A Radjenovic
Journal:  Br J Radiol       Date:  2013-03       Impact factor: 3.039

8.  Prediction of cartilage compressive modulus using multiexponential analysis of T(2) relaxation data and support vector regression.

Authors:  Onyi N Irrechukwu; Sarah Von Thaer; Eliot H Frank; Ping-Chang Lin; David A Reiter; Alan J Grodzinsky; Richard G Spencer
Journal:  NMR Biomed       Date:  2014-02-12       Impact factor: 4.044

Review 9.  Non-invasive and in vivo assessment of osteoarthritic articular cartilage: a review on MRI investigations.

Authors:  Ahmad Fadzil Mohd Hani; Dileep Kumar; Aamir Saeed Malik; Raja Mohd Kamil Raja Ahmad; Ruslan Razak; Azman Kiflie
Journal:  Rheumatol Int       Date:  2014-05-31       Impact factor: 2.631

10.  The effects of mechanical loading and gadolinium concentration on the change of T1 and quantification of glycosaminoglycans in articular cartilage by microscopic MRI.

Authors:  Nian Wang; Edith Chopin; Yang Xia
Journal:  Phys Med Biol       Date:  2013-06-13       Impact factor: 3.609

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