Dual-tracer PET Radiomics for Prostate Cancer Stratification

NCT07655648 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 100

Last updated 2026-06-18

No results posted yet for this study

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

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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Entities

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07655648 on ClinicalTrials.gov