Refining clinical decision strategies and prostate cancer detection through fine adjustments in the combination of PSA-derived parameters and MRI.

Muglia, Valdair Francisco

The article discusses the challenges and advancements in the detection of prostate cancer (PCa) using magnetic resonance imaging (MRI). While MRI has improved diagnostic accuracy and reduced harm associated with prostate biopsy, it still generates a significant number of false-positive cases. The study by Hamm et al proposes the use of zone-specific prostate-specific antigen density (PSAD) combined with MRI findings to guide biopsy decision strategies, resulting in improved specificity and reduced false-positive lesions. The article also highlights the need for further improvements in diagnostic imaging criteria and the integration of clinical data and artificial intelligence techniques for better PCa detection.

GENETIC risk score; BENIGN prostatic hyperplasia; MACHINE learning; DIFFUSION magnetic resonance imaging; MAGNETIC resonance imaging; PROSTATE cancer

European Radiology, 2024, Vol 34, Issue 10, p6227

0938-7994

Academic Journal

10.1007/s00330-024-10734-3