Using artificial intelligence to improve treatment planning for multiple brain metastases.
Official title: Artificial Intelligence Driven Automatic Treatment Planning of Stereotactic Radiosurgery for the Management of Multiple Brain Metastases
Funded at University of Chicago · NIH-10927272 · Data updated 2026-11-12
This study is looking at how we can use smart computer technology to create better and more personalized treatment plans for patients with multiple brain tumors, helping them get targeted radiation therapy that is easier on their thinking and memory.
Quick facts
| Grant type | R37 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Chicago NIH-funded |
| Lab location | 1 site (Chicago, United States) |
| Project start | September 1, 2022 |
| Project end | August 31, 2027 |
| Funding year | 2024 |
| Award (this year) | $341,576 |
| NIH project number | 5R37CA272755-03 |
| Project ID | NIH-10927272 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are cancer patients diagnosed with multiple brain metastases who are considering stereotactic radiosurgery as a treatment option.
✕Less likely to help
Patients with a single brain metastasis or those who are not candidates for stereotactic radiosurgery may not benefit from this research.
What this research studies
This research focuses on enhancing the treatment planning process for patients with multiple brain metastases using artificial intelligence. By employing advanced algorithms, the study aims to automate the planning of stereotactic radiosurgery, which is a targeted radiation therapy that minimizes cognitive side effects compared to traditional whole brain radiotherapy. The approach involves optimizing treatment parameters based on individual patient needs, which can be complex due to the varying characteristics of brain metastases. Patients may benefit from more personalized and effective treatment plans that improve outcomes and reduce cognitive impairment.
Why it matters
Potential benefit: If successful, this research could lead to more effective and personalized treatment plans for patients with multiple brain metastases, potentially improving their quality of life.
How similar studies have gone: Other research has shown promising results in using artificial intelligence for treatment planning in various medical fields, indicating potential success for this novel approach.
Where this research is happening
-
University of Chicago
Chicago, United States Active
Researchers
- Principal investigator: Tian, Zhen — University of Chicago
- Study coordinator: Tian, Zhen
Related research
Other NIH-funded projects on the same topics.
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AI-driven automatic treatment planning for brain metastases radiotherapy
A new AI-based system helps plan precise stereotactic radiosurgery for people with multiple brain metastases.
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Personalized brain metastases risk map to guide radiotherapy
A new approach uses personal MRI data to predict where brain metastases might develop so radiation can target high-risk areas and spare healthy brain tissue.
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.