Integration of longitudinal load-bearing tissue MRI radiomics and neural network to predict knee osteoarthritis incidence.
Chen T, Chen J, Liu H, Liu Z, Yu B, Wang Y, Zhao W, Peng Y, Li J, Yang Y, Wan H, Wang X, Zhang Z, Zhao D, Chen L, Chen L, Liao R, Liu S, Zeng G, Wen Z, Wang Y, Li X, Wang S, Miao H, Chen W, Zhu Y, Wang X, Ding C, Wang T, Li S, Zhang Y.
Chen T, et al.
J Orthop Translat. 2025 Mar 15;51:187-197. doi: 10.1016/j.jot.2025.01.007. eCollection 2025 Mar.
J Orthop Translat. 2025.
PMID: 40144553
Free PMC article.
METHODS: The 700 knees without radiographic KOA at baseline were included from Osteoarthritis Initiative cohort. We selected 2164 knee MRIs during 4-year follow-up. LBTC-RM, which integrated MRI features of meniscus, femur, tibia, femorotibial cartilage, and clinica …
METHODS: The 700 knees without radiographic KOA at baseline were included from Osteoarthritis Initiative cohort. We selected 2 …