ML Models Built Using Clinical Parameters and Radiomic Features Extracted from

Oligometastatic patients at [ Oligorecurrent patients (≤5 lesions) at A total of 46 metastases were selected and segmented in 29 patients. BCR after MDT occurred in 20 (69%) patients after 2 years of follow-up. In total, 73 and 33 robust RFTs were selected from CT and PET datasets, respectively. PET ML Models showed better performances than CT Models for discriminating BCR after MDT, with Stochastic Gradient Descent (SGD) being the best model (AUC = 0.95; CA = 0.90). ML Models built using clinical parameters and CT and PET RFts extracted via