» Articles » PMID: 19114313

In Vitro Determination of Biomechanical Properties of Human Articular Cartilage in Osteoarthritis Using Multi-parametric MRI

Overview
Journal J Magn Reson
Publisher Elsevier
Date 2008 Dec 31
PMID 19114313
Citations 29
Authors
Affiliations
Soon will be listed here.
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.

Citing Articles

Mechanical and Biological Characterization of Ionic and Photo-Crosslinking Effects on Gelatin-Based Hydrogel for Cartilage Tissue Engineering Applications.

Boretti G, Baldursson H, Buonarrivo L, Simonsson S, Brynjolfsson S, Gargiulo P Polymers (Basel). 2024; 16(19).

PMID: 39408454 PMC: 11479120. DOI: 10.3390/polym16192741.


How Do Cartilage Lubrication Mechanisms Fail in Osteoarthritis? A Comprehensive Review.

Rajankunte Mahadeshwara M, Al-Jawad M, Hall R, Pandit H, El-Gendy R, Bryant M Bioengineering (Basel). 2024; 11(6).

PMID: 38927777 PMC: 11200606. DOI: 10.3390/bioengineering11060541.


Quantitative MRI methods for the assessment of structure, composition, and function of musculoskeletal tissues in basic research and preclinical applications.

Casula V, Kajabi A MAGMA. 2024; 37(6):949-967.

PMID: 38904746 PMC: 11582218. DOI: 10.1007/s10334-024-01174-7.


In-Situ Cartilage Functionality Assessment Based on Advanced MRI Techniques and Precise Compartmental Knee Joint Loading through Varus and Valgus Stress.

Said O, Schock J, Abrar D, Schad P, Kuhl C, Nolte T Diagnostics (Basel). 2021; 11(8).

PMID: 34441410 PMC: 8391314. DOI: 10.3390/diagnostics11081476.


Ultrashort echo time adiabatic T (UTE-Adiab-T) is sensitive to human cadaveric knee joint deformation induced by mechanical loading and unloading.

Jerban S, Ma Y, Kasibhatla A, Wu M, Szeverenyi N, Guma M Magn Reson Imaging. 2021; 80:98-105.

PMID: 33945858 PMC: 10858706. DOI: 10.1016/j.mri.2021.04.014.