Clinical Trial

Deep Learning Radiomics Model for Predicting Post-cystectomy Outcome in Muscle Invasive Bladder Cancer

Recruiting
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Record status
This record was last updated May 31, 2025 (before its estimated June 1, 2025 completion). Its status may not reflect the trial's current state.
Summary
Muscle invasive bladder cancer (MIBC) has a poor prognosis even after radical cystectomy. Postoperative survival stratification based on radiomics and deep learning may be useful for treatment decisions to improve prognosis. This study was aimed to develop and validate a deep learning radiomics model based on preoperative enhanced CT to predict postoperative survival in MIBC.
Protocol Amendment History 1 amendment
This ClinicalTrials.gov record has been amended once since 2023-10-18.
Trial Details
NCT Number NCT06092450
Lead Sponsor First Affiliated Hospital of Chongqing Medical University
Conditions Bladder Cancer
Enrollment 500 participants
Start Date 2023-08-01
Primary Completion 2025-06-01 (estimated)
Study Completion 2025-06-01 (estimated)
Updated on ClinicalTrials.gov 2025-05-31