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.
Study Type
OBSERVATIONAL
Enrollment
100
Retrospective analysis of pre-prostatectomy dual-tracer PET/CT (⁶⁸Ga-PSMA and ⁶⁸Ga-RM26) imaging data.
Department of Nuclear Medicine, Xiangya Hospital, Central South University
Changsha, Hunan, China
Gleason Grade Group
Gleason Grade Group
Time frame: 2020.1 --- 2023.1
Biochemical recurrence-free survival
Time from surgery to biochemical recurrence (PSA ≥ 0.2 ng/ml or initiation of salvage treatment) or last follow-up.
Time frame: From surgery to biochemical recurrence or study cutoff (up to 5 years)
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