Fig. 4
The ROC curves for high-risk cytogenetics, the R-ISS score, the BCA model, and the combined model (both developed using a stepwise model selection algorithm) are shown, comparing their ability to predict progression-free survival versus disease progression in MM patients. The BCA model, derived through the stepwise selection algorithm, included the variables bone density, muscle volume, and SM, with an AIC of 127.37. The combined model, also developed using the stepwise selection algorithm, incorporated muscle volume, TAT, SAT, EAT, CM, ISS, and sex, achieving an AIC of 119.36. The AUC values for all four models are displayed on the right side.
