MRI Imaging for Active Surveillance in Prostate Cancer

PI: Cristina Marenghi

We investigate the use of multiparametric MRI (mpMRI) to support active surveillance strategies in patients with low- to intermediate-risk prostate cancer. Our research focuses on extracting and validating quantitative imaging biomarkers that can non-invasively monitor tumor evolution, helping to distinguish indolent disease from clinically significant disease. We analyze functional MRI sequences, including diffusion-weighted (DWI), and dynamic contrast-enhanced (DCE) imaging, to characterize tumor heterogeneity, perfusion, and cellular density over time. 

A key objective is to standardize MRI acquisition and feature extraction protocols across protocols and scanners, ensuring reproducibility and enabling robust transfer of research findings towards the clinics. We also integrate imaging data with clinical and pathological information to improve risk stratification and guide personalized surveillance schedules. Phantom studies and repeatability analyses are conducted to assess technical reliability and reduce variability across imaging platforms. 

This work aims to establish MRI-based imaging biomarkers as reliable tools to inform decision-making in active surveillance, reducing unnecessary interventions while ensuring timely treatment when needed.