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

> **NCT06993779** · — · ACTIVE_NOT_RECRUITING · sponsor: **Mingzhao Xiao** · enrollment: 1000 (estimated)

## Conditions studied

- UTUC

## Interventions

- **OTHER:** Deep learning system for prognostication prediction in upper tract urothelial carcinoma

## Key facts

- **NCT ID:** NCT06993779
- **Lead sponsor:** Mingzhao Xiao
- **Sponsor class:** OTHER
- **Phase:** —
- **Study type:** OBSERVATIONAL
- **Status:** ACTIVE_NOT_RECRUITING
- **Start date:** 2025-01-01
- **Primary completion:** 2025-06-01
- **Final completion:** 2025-11-01
- **Target enrollment:** 1000 (ESTIMATED)
- **Last updated:** 2025-05-29


## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT06993779

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT06993779, "Whole-slide Image and CT Radiomics Based Deep Learning System for Prognostication Prediction in Upper Tract Urothelial Carcinoma". Retrieved via AI Analytics 2026-06-03 from https://api.ai-analytics.org/clinical/NCT06993779. Licensed CC0.

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*[Clinical trials dataset](/datasets/clinical-trials) · CC0 1.0*