# A CT-BASED Deep Learning Model for Predicting WHO/ISUP Pathological Grades of Clear Cell Renal Cell Carcinoma (ccRCC) :A Multicenter Cohort Study

> **NCT06559046** · — · COMPLETED · sponsor: **Ting Huang** · enrollment: 483 (actual)

## Conditions studied

- Tumor Grading
- Deep Learning
- Clear Cell Renal Cell Carcinoma

## Interventions

_None listed._

## Key facts

- **NCT ID:** NCT06559046
- **Lead sponsor:** Ting Huang
- **Sponsor class:** OTHER
- **Phase:** —
- **Study type:** OBSERVATIONAL
- **Status:** COMPLETED
- **Start date:** 2019-01-01
- **Primary completion:** 2024-06-30
- **Final completion:** 2024-06-30
- **Target enrollment:** 483 (ACTUAL)
- **Last updated:** 2024-08-20


## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT06559046

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT06559046, "A CT-BASED Deep Learning Model for Predicting WHO/ISUP Pathological Grades of Clear Cell Renal Cell Carcinoma (ccRCC) :A Multicenter Cohort Study". Retrieved via AI Analytics 2026-06-02 from https://api.ai-analytics.org/clinical/NCT06559046. Licensed CC0.

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