BAP1 and neoplasm: The potential of radiomics for identifying BAP1 mutations from the CT scans of PM patients was demonstrated; 2D features extracted from tumor segmentations yielded an AUC value of 0.69 [0.60, 0.77] when using a decision tree classifier.