Using AI to identify cancer spread in head and neck tumors before treatment
Development of an artificial intelligence-driven, imaging-based platform for pretreatment identification of extranodal extension in head and neck cancer
This study is working on a new way to use advanced imaging and artificial intelligence to better spot a specific condition called extranodal extension in patients with head and neck cancer, which can help doctors choose the best treatment for you and avoid unnecessary procedures.
Quick facts
| Grant type | Career grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Brigham and Women's Hospital NIH-funded |
| Lab location | 1 site (Boston, United States) |
| Project ID | NIH-11003302 on NIH RePORTER |
What this research studies
This research aims to create an advanced imaging platform that leverages artificial intelligence to detect extranodal extension (ENE) in head and neck squamous cell carcinoma (HNSCC) using CT scans. ENE is a critical factor that influences treatment decisions, as its presence can indicate the need for more aggressive therapy. By improving the accuracy of ENE identification before surgery, the study seeks to help doctors select the most appropriate treatment plans for patients, potentially reducing unnecessary procedures and associated complications. The approach involves optimizing AI algorithms to analyze imaging data more effectively than current methods.
Who could benefit from this research
Good fit: Ideal candidates for this research are patients diagnosed with head and neck squamous cell carcinoma who are preparing for surgical treatment.
Not a fit: Patients with head and neck cancers that do not exhibit extranodal extension or those who are not candidates for surgery may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more accurate treatment planning for patients with head and neck cancer, potentially improving outcomes and reducing treatment-related side effects.
How similar studies have performed: Other research has shown promise in using AI for medical imaging, suggesting that this approach could lead to significant advancements in cancer treatment.
Where this research is happening
Boston, United States
- Brigham and Women's Hospital — Boston, United States (Active)
Researchers
- Principal investigator: Kann, Benjamin Harris — Brigham and Women's Hospital
- Study coordinator: Kann, Benjamin Harris
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.