Abstract

To determine the utility of whole-body magnetic resonance imaging (WB MRI) to predict relapse in children with juvenile idiopathic arthritis (JIA) in clinical remission. Consecutive patients with JIA who fulfilled the Wallace criteria for remission were recruited into this longitudinal pilot study and underwent WB MRI. A radiological score was devised, incorporating synovitis, bone marrow edema, sacroiliitis, enthesitis, and bone erosions. Two readers independently scored the MR data sets. The same score was calculated for both knee joints individually and correlated with outcome for that joint. Score-based models incorporating clinical and laboratory variables were generated. Logistic regression analysis was done to determine predictors for relapse. Receiver operating characteristic curve was drawn for significant variables. Twenty-two children (median age, 12 years; interquartile range, 9.5-14.25 years) were included in the final analysis. At 24 months' follow-up, 15 joints in 5 children relapsed; knee was the most common site. Seven knee joints had disease relapse. On univariate analysis, synovitis and total score on WB MRI were significant predictors of relapse at follow-up, with odds ratios of 9.46 (bias-corrected 95% confidence interval, 3.07-29.13) and 2.8 (bias-corrected 95% confidence interval, 1.23-6.39) respectively. Two models, which included a higher number of joints involved at presentation and abrupt drug withdrawal strategy as predictor variables, were also statistically significant (odds ratio, approximately 1.9). On multivariate analysis of the predictors variables in models where p < 0.6, it was found that only synovitis score and total score were near statistical significance ( p = 0.06); no clinical or laboratory variables were significant. The areas under the receiver operating characteristic curve for relapse prediction were approximately 0.82, 0.87, 0.79, and 0.81 for synovitis score, total MRI score, and both models, respectively. Synovitis on WB MRI is the strongest independent predictor for disease relapse in children with JIA in remission.

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