Dual-tracer PET Radiomics for Prostate Cancer Stratification

This single-center retrospective study aims to develop an interpretable radiomics model based on dual-tracer PET/CT to preoperatively predict the postoperative pathological Gleason grade group in treatment-naïve prostate cancer patients. A machine learning-based three-class prediction model will be constructed and interpreted using SHAP. Its performance will be compared with systematic biopsy results, assessing grading accuracy and prognostic value for biochemical recurrence-free survival.

NCT Number	NCT07655648
Lead Sponsor	Xiangya Hospital of Central South University
Conditions	Prostate Cancer, Gleason Score, PET/CT, Radiomics, Biochemical Recurrence
Enrollment	100 participants
Start Date	2020-01-01
Primary Completion	2026-05-01 (estimated)
Study Completion	2026-05-01 (estimated)
Updated on ClinicalTrials.gov	2026-06-18