Improving management of renal tumors using artificial intelligence
Official title: Mutimodal Artificial Intelligence for Optimising Renal Tumour Management: Diagnosis, Surgery and Prognosis
Run by The First Affiliated Hospital with Nanjing Medical University · NCT06714916 · Data updated 2026-11-12
This study is testing if using artificial intelligence can help doctors better understand and treat kidney tumors by analyzing CT scans and improving surgical decisions.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 18 Years and up |
| Sex | All |
| Enrollment | 2100 (estimated) |
| Sponsor | The First Affiliated Hospital with Nanjing Medical University Academic / other |
| Drugs / interventions | immunotherapy |
| Locations | 1 site (Nanjing, Jiangsu) |
| Status | Recruiting |
| Started | January 1, 2025 |
| Main results expected | January 1, 2028 |
| Study ends | December 31, 2033 |
| Registry record updated | March 19, 2025 |
| Trial ID | NCT06714916 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates include patients with renal tumors eligible for surgical treatment who have completed a contrast-enhanced CT scan within 30 days prior to surgery.
✕Probably not a fit
Patients with metastatic renal tumors or those who have received prior treatments may not benefit from this study.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This observational study aims to enhance the management of renal tumors through the use of multimodal artificial intelligence (AI). It will evaluate the accuracy of AI predictions regarding tumor characteristics such as benign or malignant status, subtypes, grading, and staging based on preoperative CT images. Additionally, the study seeks to assist clinicians in determining the most appropriate surgical approach and to integrate CT images with pathology slides for better prognostic information. Participants will undergo active surveillance and have their postoperative survival data recorded for five years.
Why it matters
Potential benefit: If successful, this study could lead to more accurate diagnoses and personalized treatment plans for patients with renal tumors.
How similar studies have gone: While the use of AI in medical imaging is gaining traction, this specific approach to renal tumor management is relatively novel and has not been extensively tested in prior studies.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Patients with renal tumor which can be treated by surgery; * Complete CECT within 30 days before surgery; * Patients who fully understand this study and sign the informed consent; Exclusion Criteria: * Patients with any item missing from the baseline clinical and pathological information; * Patients who has already metastasized by the time the tumor is discovered; * Previous treatment in any form, including surgery, targeted therapy and immunotherapy;
Where it's running
-
The First Affiliated Hospital of Nanjing Medical University (Jiangsu Provincial People's Hospital)
Nanjing, Jiangsu, China Recruiting
Study contacts
- Study coordinator: Shao Pengfei, Professor
- Email: spf032@hotmail.com
- Phone: +8613851925825
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.