Therefore, in this study, we aimed to develop and validate an MR-based radiomic nomogram combining different imaging sequences (i.e., apparent diffusion coefficient (ADC) mapping and T2-weighted imaging (T2WI)), different tumor regions (combined intra- and peritumoral regions), and different parameters (CA125 level, tumor morphological features, and radiomic features) for predicting LNM in patients with EC. The gene discussed is MUC16; the disease is neoplasm.