The prediction of hip osteoarthritis (OA) progression is still a difficult issue. We have adopted (18)F-fluoride positron emission tomography (PET) for the evaluation of hip osteoarthritis, and investigated the prediction utility of (18)F-fluoride PET for both pain worsening and OA progression using a logistic regression model.
A total of 57 hip joints were analyzed for progression risk factors for pain worsening and minimum joint space (MJS) narrowing by logistic regression analysis. Sex, age, BMI, existence of pain, the PET maximum standardized uptake value (SUV(max)), Kellgren and Lawrence grade, MJS, and follow-up period were used as explanatory variables. Receiver operating characteristic analysis was performed to calculate the cutoff value of the SUV(max).
Multivariate logistic regression analysis revealed significant differences only in the SUV(max) values for pain worsening and MJS narrowing. The odds ratio of the SUV(max) for pain worsening was 1.89, and for MJS narrowing it was 11.02. The SUV(max) cutoff value was 7.2 (sensitivity: 1.00, specificity: 0.84) for pain worsening and 6.4 (sensitivity: 0.92, specificity: 0.83) for MJS narrowing.
Our results indicate that the PET SUV(max) is a best predictor of pain worsening and MJS narrowing. This imaging modality has a great potential for the prediction of OA progression.