Table 2.

Model characteristics for Model 1(Risk Factors + radiography), Model 2 (Model 1 + WORMS), and Model 3 (Model 2 + Cartilage T2). The values for the Akaike information criterion (AIC), Discrimination Index (DI), and Area under the ROC curve (AUC) were obtained using 10 fold cross-validation. The AUCs for all models are compared to Model 1 to understand the importance of MR imaging in for prediction of OA development. The results demonstrate that the addition of WORMS and cartilage T2 improves classification over radiography alone.

Model	Variables included	Cross- validated AIC	Cross-validated DI	Cross Validated AUC (p value compared to Model 1)
Base	age + gender + BMI	475	0.014	0.60 [0.53–0.67] (p=0.02)
1	Base + KL grade + previous knee injury in the last 12 months	457	0.048	0.67 [0.61–0.73] (reference)
2	Model 1 + lateral femur cartilage lesion + patella cartilage lesion + meniscal tear	442	0.084	0.71 [0.65–0.77] (p=0.08)
3	Model 2 + Medial Femur T2 + Medial Tibia T2 +	437	0.11	0.72 [0.66–0.78] (p=0.04)