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Dual-tracer PET Radiomics for Prostate Cancer Stratification
Sponsor: Xiangya Hospital of Central South University
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.
Official title: Dual-tracer PET/CT Interpretable Radiomics for Pathological Classification and Prognostic Stratification of Prostate Cancer
Key Details
Gender
MALE
Age Range
Any - Any
Study Type
OBSERVATIONAL
Enrollment
100
Start Date
2020-01-01
Completion Date
2026-05-01
Last Updated
2026-06-18
Healthy Volunteers
No
Interventions
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.
Locations (1)
Department of Nuclear Medicine, Xiangya Hospital, Central South University
Changsha, Hunan, China