NCT07655648CompletedNot Applicable
Dual-tracer PET/CT Interpretable Radiomics for Pathological Classification and Prognostic Stratification of Prostate Cancer
Xiangya Hospital of Central South University1 site in 1 country100 target enrollmentStarted: January 1, 2020Last updated:
Conditions
Trial Snapshot
- Phase
- Not Applicable
- Status
- Completed
- Sponsor
- Enrollment
- 100
- Locations
- 1
Study Overview
Brief 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.
Study Design
- Study Type
- Observational
- Observational Model
- Cohort
- Time Perspective
- Retrospective
Eligibility Criteria
- Sex
- Male
- Accepts Healthy Volunteers
- No
Inclusion Criteria
- •Treatment-naïve prostate cancer with subsequent radical prostatectomy (RP)
- •Availability of presurgical dual-tracer PET/CT images, biopsy, and RP pathology data
Exclusion Criteria
- •Unavailability of imaging or pathological data
- •PET/CT performed after any prostate cancer-related treatment
- •Interval between PET and biopsy > 3 months
- •Interval between biopsy and RP > 1 month
Investigators
Yongxiang Tang
Prof.
Xiangya Hospital of Central South University
Study Sites (1)
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