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Principal component analysis of simultaneous pet‐mri reveals patterns of bone–cartilage interactions in osteoarthritis

Journal of Magnetic Resonance Imaging Mar 28, 2020

Tibrewala R, et al. - This prospective study intended to apply [18F]‐NaF PET‐MRI to establish automatic image processing code in MatLab to create a model of bone–cartilage interactions and to find relationships of bone–cartilage interactions with known manifestations of osteoarthritis (OA). A total of 29 individuals with knee pain or joint stiffness were included in this study. Researchers tried to find out the relationship between MRI (cartilage) and PET (bone) quantitative parameters, bone–cartilage interactions model described by modes of variation as derived by principal component analysis, WORMS scoring on cartilage lesions, bone marrow abnormalities, subchondral cysts. They found dynamic associations between biochemical variations in the cartilage accompanied with bone remodeling, extended to the whole knee joint instead of simple colocalized observations, shedding light on the interactions that occur between bone and cartilage in OA, by successfully building an automatic code to create a bone–cartilage interface.

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