ECR 2025: Deep Learning Reconstruction in Prostate MRI

2025 ECR Siemens Symposium Learning Objective: To explore the role of deep learning reconstruction (DLR) in advancing prostate MRI examinations. Evaluate the impact of DLR on T2W and DWI image quality and acquisition time in prostate MRI. Compare DLR with traditional reconstruction methods and identify when DLR is beneficial. Evaluate the evidence for clinical impacts on prostate cancer diagnosis, including PI-RADS scoring, DL-CAD performance, and biopsy decisions. Suggest a practical deployment strategy that leverages advantages while mitigating potential harm.