AI Tool Reads Plain CT Scans to Spot Kidney Growths
Tests an AI tool that finds kidney growths on CT scans done without contrast dye.
Key facts
- Who runs it
- Fudan University
- Where
- Shanghai, ChinaSee the site
- Trial code
- Registry title
- AI for Renal Tumors Using Non-Contrast CT
- Status
- Not yet recruiting
- People taking part
- 10,000 people, planned
- Started
- Jan 2026
- Expected to end
- Dec 2028
- Type of study
- Observational
- Record updated
- 26 December 2025
Who can take part
AI summary
From the trial's eligibility criteria. Machine-read from the registry text on this page, so it can be wrong. The registry text below and the trial team decide who can take part.
The trial is looking for adults who had an abdominal CT scan and have a kidney lesion that was not treated before. It tests an AI tool that reads non-contrast CT images.
- Age
- 18 to 80 years
- Sex
- All sexes can join.
- Disease stage
- A kidney lesion. Cancer must be confirmed by pathology. A benign lesion must be confirmed by pathology or by imaging follow-up.
- Earlier treatment
- No prior treatment for the kidney disease.
Main reasons for not taking part
- Refused follow-up, biopsy or surgery, so no clear diagnosis was possible
- Lesion suspected to be cancer but no complete pathology confirmation
- Any prior treatment for the kidney lesion
- Poor image quality that made diagnosis hard to assess
The registry criteria, word for word
Show all 8 criteriaShow less
Who can take part
- 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
Who cannot take part
- Patients refuse to undergo recommended follow-up, biopsy, or surgery, which precluded definitive diagnosis of the renal lesion
- Patients have received any form of prior treatment for the renal lesion
- Absence of complete pathological confirmation for lesions suspected to be malignant
- Poor image quality that hampered diagnostic evaluation
Check if you might fit
Answer for yourself. This is not a decision: only the study team can say whether you can take part.
- Are you between 18 and 80 years old?
Where in China
- Fudan University Shanghai Cancer CenterShanghai, ChinaContact: Yajia Gu, MDNo longer taking part
About the trial
What the trial wants to find out
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.
Questions to ask the study team
- How often do I need to come in, and for how long each time?
- Are travel costs paid?
- Can I keep my own doctor?
- What happens if I want to stop?
Contact the study team: see the registry record → Contacts and Locations
Print a page for my doctorData and sources
- Registry record
- Listed on ClinicalTrials.gov.
- Official title
- An Artificial Intelligence Model for Screening and Diagnosis of Renal Tumors Based on Non-Contrast CT
- Plain-language title
- AI Tool Reads Plain CT Scans to Spot Kidney GrowthsGenerated from the registry record. The registry title is the official one.
- AI summary
- From the trial's eligibility criteria. Read by machine on 13 November 2026.
- Fit questions
- Built from NCT07304492, who can take part
- Record updated
- 26 December 2025