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Abstract #5041

Prediction of the mechanical properties of articular cartilage with QSM and T2* in equine post traumatic osteoarthritis model

Olli Juhani Nykänen1, Juuso Ketola2, Henri Leskinen1, Jaakko Sarin1,3, Nikae te Moller4, Irina A.D. Mancini4, Harold Brommer4, Rene van Weeren4, Jos Malda4,5, Juha Töyräs1,3, and Mikko J Nissi1

1Department of Applied Physics, University of Eastern Finland, Kuopio, Finland, 2Research Unit of Medical Imaging, Physics and Technology, University of Oulu, Oulu, Finland, 3Diagnostic Imaging Center, Kuopio University Hospital, Kuopio, Finland, 4Department of Equine Sciences, Faculty of Veterinary Medicine, Utrecht University, Utrecht, Netherlands, 5Department of Orthopaedics, University Medical Center Utrecht, Utrecht, Netherlands

In this study, we investigated the potential of quantitative susceptibility mapping (QSM) and T2* mapping to predict the mechanical properties of equine articular cartilage. To assess the potential of these parameters, they were used to predict the biomechanical properties of cartilage using artificial neural network (ANN) modelling of the 235 mechanical testing points in 20 equine samples representing variable tissue properties. The results indicated that both T2* and QSM correlate moderately with biomechanics (r=0.648 and r=0.652, respectively) and combining these parameters improved the correlation slightly (r=0.714). The study highlights the potential of both quantitative MRI and ANN-analysis in cartilage imaging.

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