Professor Shouzhen Chen: Combining PI-RADS and PHI Density for Precise Risk Stratification and Optimizing Repeat Prostate Biopsy Decisions
For patients with an initial negative prostate biopsy, whether and when to perform a repeat biopsy remains an important clinical challenge in the early diagnosis of prostate cancer. On the one hand, unnecessary repeat biopsies may increase patients' pain, bleeding, infection, and psychological burden; on the other hand, inadequate risk assessment may delay the diagnosis of clinically significant prostate cancer. How to use more precise risk-stratification tools to reduce unnecessary invasive procedures while maintaining a low risk of missing clinically significant cancer has therefore become an important area of clinical interest. In this issue of Oncology Frontier · UroStream, Professor Shouzhen Chen of Qilu Hospital of Shandong University discusses a risk-stratification and prediction model combining the Prostate Imaging Reporting and Data System (PI-RADS) score with the Prostate Health Index (PHI) and PHI density (PHID). He provides an in-depth interpretation of the model's key findings, clinical value, and current limitations in patients undergoing repeat biopsy, while also discussing future directions involving multimodal biomarkers and emerging molecular imaging technologies.









