Clinical Trial

Whole-slide Image and CT Radiomics Based Deep Learning System for Prognostication Prediction in Bladder Cancer

Recruiting
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Record status
This record was last updated May 28, 2025 (before its estimated June 1, 2025 completion). Its status may not reflect the trial's current state.
Summary
Bladder cancer (BLCA), with its diverse histopathological features and varying patient outcomes, poses significant challenges in diagnosis and prognosis. Postoperative survival stratification based on radiomics feature and whole slide image feature may be useful for treatment decisions to improve prognosis. In this research, we aim to develop a deep learning-based prognostic-stratification system for automatic prediction of overall and cancer-specific survival in patients with BLCA.
Protocol Amendment History 1 amendment
This ClinicalTrials.gov record has been amended once since 2024-04-26.
Trial Details
NCT Number NCT06389019
Lead Sponsor Mingzhao Xiao
Conditions Bladder Cancer
Enrollment 1,000 participants
Start Date 2024-01-01
Primary Completion 2025-06-01 (estimated)
Study Completion 2025-10-01 (estimated)
Updated on ClinicalTrials.gov 2025-05-28