Dual-tracer PET Radiomics for Prostate Cancer Stratification
NCT07655648 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 100
Last updated 2026-06-18
Summary
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.
Conditions
- Prostate Cancer
- Gleason Score
- PET/CT
- Radiomics
- Biochemical Recurrence
Interventions
- DIAGNOSTIC_TEST
-
PET/CT with Gallium-68 labeled PSMA and RM26
Retrospective analysis of pre-prostatectomy dual-tracer PET/CT (⁶⁸Ga-PSMA and ⁶⁸Ga-RM26) imaging data.
Sponsors & Collaborators
-
Xiangya Hospital of Central South University
lead OTHER
Eligibility
- Sex
- MALE
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2020-01-01
- Primary Completion
- 2026-05-01
- Completion
- 2026-05-01
Countries
- China
Study Locations
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