Can MRI-derived imaging biomarkers improve the prediction of knee osteoarthritis progression? | Luiz Perandini
Knee osteoarthritis is a serious and common joint disease that can cause pain, functional limitations, reduced mobility, and lower quality of life. Predicting which patients are likely to progress is important because it could help clinicians identify high-risk individuals earlier and guide more personalized treatment strategies. Currently, knee osteoarthritis diagnosis and progression assessment rely largely on radiographic imaging, clinical symptoms, and established clinical markers. However, accurately predicting which patients will experience worsening structural damage, worsening pain, or both remains challenging. Predicting knee osteoarthritis progression using neural network with longitudinal MRI radiomics, and biochemical biomarkers: A modeling study Wang T, Liu H, Zhao W, Cao P, Li J, Chen T, Ruan G, Zhang Y, Wang X, Dang Q, Zhang M, Tack A, Hunter D, Ding C, Li S. Predicting knee osteoarthritis progression using neural network with longitudinal MRI radiomics, and bioch...