This analysis resulted in a final selection of a four-gene model that contains HIST1H2BG, SPP1, ELF3 and PCA3. The four gene model outperformed single genes and previously reported models in the literature in detecting PCa in urinary sediments (SN = 77 %; SP = 67 %; PPV = 83 %; NPV = 58 %; ER = 26 %; AUC = 0.763). The gene discussed is PCA3; the disease is posterior cortical atrophy.