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Abstract #2739

Multiparametric MRI Predicts Articular Cartilage Proteoglycan Content and Collagen Fiber Orientation

Abdul Wahed Kajabi1,2, Seyed Amir Mirmojarabian1,2, Juuso Ketola1, Timo Liimatainen1,2, Miika T. Nieminen1,2,3, Mikko J. Nissi4, and Victor Casula1,2
1Research Unit of Medical Imaging, Physics and Technology, University of Oulu, Oulu, Finland, 2Medical Research Center, University of Oulu and Oulu University Hospital, Oulu, Finland, 3Department of Diagnostic Radiology, Oulu University Hospital, Oulu, Finland, 4Department of Applied Physics, University of Eastern Finland, Kuopio, Finland

In this study, multiparametric MRI was used to predict cartilage proteoglycan content and collagen fiber orientation, as measured by quantitative microscopy. Twenty osteochondral samples were obtained from stifle joints of ten Shetland ponies. Measurements of 14 different MRI parameters, including T1, T2, continuous wave T1rho, adiabatic T1rho and T2rho, and TRAFF were performed at 9.4 T. Three ensemble-based regression models (Gradient Boosting, Random Forest and Extra Trees) were used and the highest coefficients of determination (r2) were 0.77 for collagen orientation and 0.62 for proteoglycan content. These findings show that multiparametric MRI can be used to non-invasively estimate cartilage histology.

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