Using AI to understand kidney changes after cancer surgery
Artificial Intelligence-Based Methods to Characterize Kidney Macrostructure from Pre- and Post-Nephrectomy Computed Tomography Images
['FUNDING_R01'] · MAYO CLINIC ROCHESTER · NIH-11174595
This project uses artificial intelligence to better understand how kidneys change after surgery for kidney cancer, helping to predict future kidney health.
Quick facts
| Phase | ['FUNDING_R01'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | MAYO CLINIC ROCHESTER (nih funded) |
| Locations | 1 site (ROCHESTER, UNITED STATES) |
| Trial ID | NIH-11174595 on ClinicalTrials.gov |
What this research studies
Many patients who have surgery for kidney cancer are concerned about their kidney health afterward. This project uses advanced artificial intelligence to look at CT scans taken before and after kidney cancer surgery. By analyzing these images, researchers hope to identify specific changes in the remaining kidney, such as its size and other features. The goal is to develop new tools that can predict which patients might be at higher risk for developing chronic kidney disease in the future.
Who could benefit from this research
Good fit: Ideal candidates are patients who have undergone radical or partial nephrectomy for kidney cancer and have pre- and post-surgery abdominal imaging available.
Not a fit: Patients who have not had kidney cancer surgery or do not have existing CT imaging data would not directly benefit from this specific imaging analysis.
Why it matters
Potential benefit: If successful, this work could provide doctors with a new tool to predict chronic kidney disease risk in patients after kidney cancer surgery, allowing for earlier intervention.
How similar studies have performed: While AI-based quantification of kidney volumes from CT scans is an emerging field, the specific application to predict progressive CKD after nephrectomy is a novel approach.
Where this research is happening
ROCHESTER, UNITED STATES
- MAYO CLINIC ROCHESTER — ROCHESTER, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: DENIC, ALEKSANDAR — MAYO CLINIC ROCHESTER
- Study coordinator: DENIC, ALEKSANDAR
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page below.