Using artificial intelligence to improve treatment planning for multiple brain metastases.
Artificial Intelligence Driven Automatic Treatment Planning of Stereotactic Radiosurgery for the Management of Multiple Brain Metastases
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 ID | NIH-10927272 on NIH RePORTER |
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.
Who could benefit from this research
Good fit: Ideal candidates for this research are cancer patients diagnosed with multiple brain metastases who are considering stereotactic radiosurgery as a treatment option.
Not a fit: Patients with a single brain metastasis or those who are not candidates for stereotactic radiosurgery may not benefit from this research.
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 performed: 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
Chicago, United States
- University of Chicago — Chicago, United States (Active)
Researchers
- Principal investigator: Tian, Zhen — University of Chicago
- Study coordinator: Tian, Zhen
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.