Abstract
The integration of multiparametric MRI (mpMRI) into the diagnosis and treatment of muscle-invasive bladder cancer (MIBC) has significantly enhanced decision-making. This review highlights advancements in mpMRI, including its applications in tumor grading, treatment response assessment, and post-treatment surveillance. The use of artificial intelligence further enhances predictive capabilities. However, challenges remain, particularly regarding accessibility and interobserver variability. mpMRI represents a pivotal, noninvasive tool that supports precision medicine and bladder-preserving strategies in MIBC care.