Not Yet RecruitingNot Applicable

AI for Renal Tumors Using Non-Contrast CT

China10,000 participantsStarted 2026-01

Plain-language summary

The goal of this observational study is to learn whether the artificial intelligence method can automatically identify and diagnose renal lesions using non-contrast CT or opportunistic screening.

Who can participate

Age range18 Years – 80 Years

SexALL

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Inclusion criteria

✓. Patients who underwent an abdominal CT examination.
✓. Patients with renal lesions were managed according to standard clinical pathways, which included follow-up, biopsy, or surgery.
✓. Malignant lesions were pathologically confirmed; benign lesions were confirmed by either pathological diagnosis or imaging follow-up.
✓. No prior treatment had been received for the renal disease.

Exclusion criteria

✕. Patients refuse to undergo recommended follow-up, biopsy, or surgery, which precluded definitive diagnosis of the renal lesion.
✕. Absence of complete pathological confirmation for lesions suspected to be malignant.
✕. Patients have received any form of prior treatment for the renal lesion.
✕. Poor image quality that hampered diagnostic evaluation.

What they're measuring

Building an intelligent diagnostic system for renal diseases based on CT scans.

Timeframe: 1 year

Trial details

NCT IDNCT07304492

SponsorFudan University

Sponsor typeOTHER

Study typeOBSERVATIONAL

Primary completion2028-12

Contact for this trial

Yajia Gu, MD

+8621-64175590 guyajia@fudan.edu.cn

View on ClinicalTrials.gov More Renal Neoplasms trials