# Retrospective Analysis of the Correlation Between Imaging Features and Pathology, Prognosis in Renal Tumors

> **NCT06167863** · — · COMPLETED · sponsor: **Zhen Li** · enrollment: 1000 (actual)

## Conditions studied

- Radiomics
- Deep Learning
- Artificial Intelligence
- Body Composition

## Interventions

- **DIAGNOSTIC_TEST:** radiomics

## Key facts

- **NCT ID:** NCT06167863
- **Lead sponsor:** Zhen Li
- **Sponsor class:** OTHER
- **Phase:** —
- **Study type:** OBSERVATIONAL
- **Status:** COMPLETED
- **Start date:** 2023-08-31
- **Primary completion:** 2023-10-31
- **Final completion:** 2023-10-31
- **Target enrollment:** 1000 (ACTUAL)
- **Last updated:** 2023-12-13


## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT06167863

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT06167863, "Retrospective Analysis of the Correlation Between Imaging Features and Pathology, Prognosis in Renal Tumors". Retrieved via AI Analytics 2026-06-02 from https://api.ai-analytics.org/clinical/NCT06167863. Licensed CC0.

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