We show that applying the PSFd to dynamic 18F-FDOPA PET images significantly improves the detection of molecular parameters in newly diagnosed gliomas for predicting isocitrate dehydrogenase mutated and/or 1p/19q codeleted gliomas, for a combination of radiomics features extracted from static and dynamic parametric images. This evidence concerns the gene IDH3A and central nervous system cancer.