Radiomic nomograms from pre-treatment magnetic resonance imaging-based may predict high-risk cytogenetic status in multiple myeloma

Our study aimed to develop and validate one or more clinically relevant radiomic nomograms based on multisequence MRI radiomic features to predict the pre-treatment HRC status of patients with MM. We developed radiomic nomograms for 14 models at a single center using clinically obtained whole-spine MRI images of 159 patients with MM. This study revealed that radiomic features of pre-treatment MRI images are associated with HRC status in patients with MM. Among the proposed models, the nomograms of the FT2, FT2+1, and FT2+2+1 models were identified as outstanding at distinguishing patients with HRC from those with non-HRC status.