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Abstract #2651

Discrimination of subjects with and without knee osteoarthritis using a radiomics approach on tibial bone

Jukka Hirvasniemi1, Stefan Klein2, Dieuwke Schiphof3, and Edwin Oei1
1Department of Radiology & Nuclear Medicine, Erasmus MC, Rotterdam, Netherlands, 2Department of Radiology & Nuclear Medicine and Department of Medical Informatics, Erasmus MC, Rotterdam, Netherlands, 3Department of General Practice, Erasmus MC, Rotterdam, Netherlands

Radiomic features were automatically extracted from tibial bone using knee MRI data of 665 women and the ability of the features to discriminate subjects with and without osteoarthritis was assessed. An area under the receiver operating characteristics curve of 0.80 was obtained for classifying subjects with and without osteoarthritis using an elastic net regression model that included radiomic features and covariates. Our results indicate that tibial bone characteristics are different between subjects with and without knee osteoarthritis.

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