In conclusion, when combining traditional clinical features and using the power of radiotranscriptomics, the identified biomarkers (SNAI2, CAV1, RD5A2, RND3, miR205‐5p, miR205‐3p, and miR221‐3p) could improve the accuracy of predicting PCa. The gene discussed is RND3; the disease is posterior cortical atrophy.