NCT06993779View on ClinicalTrials.gov

Whole-slide Image and CT Radiomics Based Deep Learning System for Prognostication Prediction in Upper Tract Urothelial Carcinoma

Active, not recruitingOBSERVATIONAL
Enrollment

1,000

Participants

Timeline

Start Date

January 1, 2025

Primary Completion Date

June 1, 2025

Study Completion Date

November 1, 2025

Conditions
UTUC
Interventions
OTHER

Deep learning system for prognostication prediction in upper tract urothelial carcinoma

develop and validate a deep learning system for prognostication prediction in upper tract urothelial carcinoma based on CT radiomics and whole slide images.

Trial Locations (1)

400016

Department of Urology, The First Affiliated Hospital of Chongqing Medical University, chongqing, chongqing 400016 Recruiting, Chongqing

All Listed Sponsors
lead

Mingzhao Xiao

OTHER

NCT06993779 - Whole-slide Image and CT Radiomics Based Deep Learning System for Prognostication Prediction in Upper Tract Urothelial Carcinoma | Biotech Hunter | Biotech Hunter