Abstract #2739

Multiparametric MRI Predicts Articular Cartilage Proteoglycan Content and Collagen Fiber Orientation

Abdul Wahed Kajabi^1,2, Seyed Amir Mirmojarabian^1,2, Juuso Ketola¹, Timo Liimatainen^1,2, Miika T. Nieminen^1,2,3, Mikko J. Nissi⁴, and Victor Casula^1,2

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 T_1rho, adiabatic T_1rho and T_2rho, and T_RAFF 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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