AI-driven real-time 3D kidney model to assist partial nephrectomy
Official title: Artificial Intelligence-Driven 3D Kidney Model for Real-Time Augmented Reality and Surgical Navigation in Minimally Invasive (Robotic/Laparoscopic) Partial Nephrectomy: A Prospective Validation Study
Run by The First Affiliated Hospital with Nanjing Medical University · NCT07020169 · Data updated 2026-11-12
This trial will test whether an AI-powered real-time 3D kidney model can help surgeons perform laparoscopic or robotic partial nephrectomy for adults with small, localized kidney tumors.
Quick facts
| Study type | Interventional |
|---|---|
| Ages | 18 Years to 80 Years |
| Sex | All |
| Enrollment | 232 (estimated) |
| Sponsor | The First Affiliated Hospital with Nanjing Medical University Academic / other |
| Drugs / interventions | chemotherapy, immunotherapy |
| Locations | 2 sites (Nanjing, Jiangsu and 1 other locations) |
| Status | Recruiting |
| Started | May 1, 2025 |
| Main results expected | September 1, 2026 |
| Study ends | March 1, 2027 |
| Registry record updated | June 13, 2025 |
| Trial ID | NCT07020169 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Adults aged 18–80 with localized T1a or selected T1b renal tumors scheduled for elective minimally invasive partial nephrectomy and able to provide informed consent are ideal candidates.
✕Probably not a fit
Patients with multifocal tumors, recent systemic anticancer therapy, major surgical contraindications, or who require conversion to radical or open surgery are unlikely to benefit from this approach.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This prospective, randomized study compares intraoperative AI-assisted navigation using an automated, real-time 3D kidney model overlay with conventional laparoscopic or robotic partial nephrectomy. Eligible patients with clinical T1a or selected T1b renal tumors will be randomized to receive either the AI-guided approach or standard care. Primary comparative metrics include warm ischemia time, positive margin rate, and operative efficiency indices, with system refinements guided by clinical performance feedback. Findings will inform feasibility and iterative development of the image-guided surgical platform.
Why it matters
Potential benefit: If successful, the system could shorten ischemia time, improve margin control, and make partial nephrectomy safer and more efficient.
How similar studies have gone: Small feasibility and pilot studies of 3D models and augmented-reality overlays in kidney surgery have shown technical feasibility and promising reductions in ischemia time, but randomized clinical evidence remains limited.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Ages 18-80 years, regardless of gender * Written informed consent obtained from the patient or legally authorized representative after full protocol disclosure * Preoperative imaging (CT/MRI) confirming clinical stage T1a or select T1b renal tumors suitable for partial nephrectomy (R.E.N.A.L. nephrometry score ≤10) * Localized renal tumors without lymph node/distant metastasis per NCCN Guidelines® (v2023) * Elective minimally invasive partial nephrectomy (laparoscopic/robotic) after comprehensive surgical counseling Exclusion Criteria: * Multifocal renal tumors (bilateral or unilateral) * Prior systemic anticancer therapy (targeted agents/immunotherapy/chemotherapy) within 6 months * Absolute surgical contraindications (e.g., ASA class ≥IV, uncontrolled coagulopathy) * Intraoperative conversion to radical nephrectomy or open approach * Postoperative adjuvant therapy during protocol-defined follow-up (12 months) * Major comorbidities (e.g., NYHA class III/IV heart failure, eGFR \<30 mL/min/1.73m²) affecting outcome assessment * Concurrent enrollment in interventional clinical trials * Investigator-determined ineligibility based on risk-benefit analysis
Where it's running
-
The First Affiliated Hospital of Nanjing Medical University (Jiangsu Provincial People's Hospital)
Nanjing, Jiangsu, China Recruiting -
The First Affiliated Hospital of Nanjing Medical University (Jiangsu Provincial People's Hospital)
Nanjing, Jiangsu, China Not yet recruiting
Study contacts
- Study coordinator: Pengfei Shao, Professor
- Email: spf032@hotmail.com
- Phone: +8613851925825
Similar studies
Other studies for the same condition or treatment. Recruiting studies are listed first.
-
Contrast-enhanced ultrasound and super-resolution imaging to predict kidney function after nephrectomy
This project will test whether special ultrasound scans—contrast-enhanced ultrasound and super-resolution imaging—can help predict kidney function and the risk and recovery of acute kidney injury in adults having partial or radical nephrectomy for kidney cancer.
-
Nivolumab plus cabozantinib for older adults with kidney cancer
This trial tests the combination of nivolumab and cabozantinib in people aged 70 and older with metastatic clear-cell kidney cancer to see how it is used and tolerated in routine care.
-
Treating the main kidney tumor in metastatic kidney cancer during immunotherapy
This trial will see if adding surgery or radiotherapy to the main kidney tumor helps people with metastatic clear‑cell kidney cancer who are already benefiting from anti‑PD1–based therapy live longer.
-
Using AI to predict kidney function after partial kidney removal
This study is testing if a new AI tool can accurately predict how well your kidneys will work after you have part of one removed due to cancer.
-
Improving management of renal tumors using artificial intelligence
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.
-
Using vorolanib for treating advanced kidney cancer
This study is testing if the drug vorolanib can help people with advanced kidney cancer live longer when used as a second treatment option.
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.