Using AI to improve radiation therapy for abdominal cancers
Artificial Intelligence powered virtual digital twins to construct and validate AI automated tools for safer MR-guided adaptive RT of abdominal cancers
This study is looking to make radiation therapy safer and more effective for people with tough abdominal cancers, like pancreatic cancer, by using advanced MRI technology to create virtual models of patients that help doctors adjust treatment in real-time, aiming to better target tumors while protecting healthy organs.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Sloan-Kettering Inst Can Research NIH-funded |
| Lab location | 1 site (New York, United States) |
| Project ID | NIH-10911323 on NIH RePORTER |
What this research studies
This research focuses on enhancing the safety and effectiveness of radiation therapy for challenging abdominal cancers, such as inoperable pancreatic cancer. By utilizing advanced magnetic resonance imaging (MRI) techniques, the study aims to create virtual digital twins of patients, allowing for real-time adjustments in treatment plans based on the movement of organs during therapy. The approach involves developing accurate methods to track radiation doses delivered to both tumors and surrounding healthy tissues, which could lead to better treatment outcomes. Patients may benefit from more precise targeting of cancerous tissues while minimizing damage to sensitive organs.
Who could benefit from this research
Good fit: Ideal candidates for this research are patients with inoperable abdominal cancers, particularly those near sensitive gastrointestinal organs.
Not a fit: Patients with cancers located in areas not treated with radiation therapy may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to safer and more effective radiation treatments for patients with abdominal cancers.
How similar studies have performed: Previous research has shown promise in using advanced imaging techniques for radiation therapy, indicating potential success for this novel approach.
Where this research is happening
New York, United States
- Sloan-Kettering Inst Can Research — New York, United States (Active)
Researchers
- Principal investigator: Tyagi, Neelam — Sloan-Kettering Inst Can Research
- Study coordinator: Tyagi, Neelam
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.