OBJECTIVE: To determine the interrelations between degenerative changes in articular cartilage and underlying trabecular bone during development of osteoarthritis and to test the ability of quantitative magnetic resonance imaging (MRI) to detect those changes. METHODS: Human cadaver patellae were investigated with quantitative MRI methods, T(2) and dGEMRIC, at 1.5T. Same measurements for isolated cartilage samples were performed at 9.4T. Bone samples, taken at sites matched with cartilage analyses, were measured with MRI and peripheral quantitative computed tomography (pQCT). Mechanical and quantitative microscopic methods were also utilized for both cartilage and bone samples. RESULTS: Significant differences were found between the samples with different stages of degeneration in mechanical properties, T(2) at 1.5T and proteoglycan (PG) content of articular cartilage. dGEMRIC at 9.4T discerned samples with advanced degeneration from the others. Bone variables measured with pQCT discerned samples with no or minimal and advanced degeneration, and mechanical properties of trabecular bone discerned samples with no or minimal degeneration from the others. Significant linear correlations were found between the bone and cartilage parameters. Characteristically, associations between variables were stronger within the samples with no or minimal degeneration compared to all samples. CONCLUSIONS: Quantitative MRI variables, especially T(2) relaxation time of articular cartilage, may be feasible surrogate markers for early and advanced osteoarthritic changes in joint tissues, including decreased elastic moduli, PG and collagen contents of cartilage and mineral density and volume fraction of trabecular bone. Further work is required to resolve the relaxation mechanisms at clinically applicable field strengths.
OBJECTIVE: To determine the interrelations between degenerative changes in articular cartilage and underlying trabecular bone during development of osteoarthritis and to test the ability of quantitative magnetic resonance imaging (MRI) to detect those changes. METHODS:Human cadaver patellae were investigated with quantitative MRI methods, T(2) and dGEMRIC, at 1.5T. Same measurements for isolated cartilage samples were performed at 9.4T. Bone samples, taken at sites matched with cartilage analyses, were measured with MRI and peripheral quantitative computed tomography (pQCT). Mechanical and quantitative microscopic methods were also utilized for both cartilage and bone samples. RESULTS: Significant differences were found between the samples with different stages of degeneration in mechanical properties, T(2) at 1.5T and proteoglycan (PG) content of articular cartilage. dGEMRIC at 9.4T discerned samples with advanced degeneration from the others. Bone variables measured with pQCT discerned samples with no or minimal and advanced degeneration, and mechanical properties of trabecular bone discerned samples with no or minimal degeneration from the others. Significant linear correlations were found between the bone and cartilage parameters. Characteristically, associations between variables were stronger within the samples with no or minimal degeneration compared to all samples. CONCLUSIONS: Quantitative MRI variables, especially T(2) relaxation time of articular cartilage, may be feasible surrogate markers for early and advanced osteoarthritic changes in joint tissues, including decreased elastic moduli, PG and collagen contents of cartilage and mineral density and volume fraction of trabecular bone. Further work is required to resolve the relaxation mechanisms at clinically applicable field strengths.
Authors: Behnam Namiranian; Saeed Jerban; Yajun Ma; Erik W Dorthe; Amir Masoud-Afsahi; Jonathan Wong; Zhao Wei; Yanjun Chen; Darryl D'Lima; Eric Y Chang; Jiang Du Journal: J Biomech Date: 2020-10-24 Impact factor: 2.712
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Authors: K E Keenan; T F Besier; J M Pauly; E Han; J Rosenberg; R L Smith; S L Delp; G S Beaupre; G E Gold Journal: Osteoarthritis Cartilage Date: 2010-11-26 Impact factor: 6.576
Authors: Harald K Widhalm; Sebastian Apprich; Goetz H Welsch; Stefan Zbyn; Patrick Sadoghi; György Vekszler; Martina Hamböck; Michael Weber; Stefan Hajdu; Siegfried Trattnig Journal: Knee Surg Sports Traumatol Arthrosc Date: 2014-11-28 Impact factor: 4.342
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Authors: R I Bolbos; Jin Zuo; Suchandrima Banerjee; Thomas M Link; C Benjamin Ma; Xiaojuan Li; Sharmila Majumdar Journal: Osteoarthritis Cartilage Date: 2008-04-02 Impact factor: 6.576