By leveraging state-of-the-art 2D object detection algorithms on multiple Maximum Intensity Projections (MIPs) computed from different angles around the 3D PSMA-PET volumes, i.e., multi-angle MIPs (MA-MIPs), our proposed method overcomes the limitations of conventional 2D, 2.5D, and 3D segmentation methods in detecting very small and low-PSMA-uptake metastatic PCa lesions. This evidence concerns the gene FOLH1 and posterior cortical atrophy.