Whole-slide Image and CT Radiomics Based Deep Learning System for Prognostication Prediction in Bladder Cancer - Trial NCT06389019
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Study Focus
Deep learning system for prognostication prediction in bladder cancer
Observational
other
Sponsor & Location
Mingzhao Xiao
First Affiliated Hospital of Chongqing Medical University
Timeline & Enrollment
N/A
Jan 01, 2024
Oct 01, 2024
Primary Outcome
Overall survival
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.
ICD-10 Classifications
Data Source
ClinicalTrials.gov
NCT06389019
Non-Device Trial