Development of a Prognostic Prediction Model for Clinically Significant Prostate Cancer Based on Lesion Zone and Apparent Diffusion Coefficient Value Quantification

Key Points

• Clinically significant prostate cancer was accurately predicted using a prognostic prediction model, enhancing diagnosis.
• The model uses quantification of the apparent diffusion coefficient from MRI scans as a key metric, improving accuracy.
• Analysis based on lesion zone characteristics and diffusion values indicates better prognostic capabilities.
• This work may enable more precise screening for prostate cancer, benefiting patient outcomes and treatment pathways.