AI-guided proton therapy that adapts during treatment for head and neck cancer

Online Adaptive Proton Therapy

NIH-funded research Mayo Clinic Arizona · NIH-11314566

Using AI to build 3D images from routine X-rays so proton therapy can be updated during treatment for people with head and neck cancer.

Quick facts

Grant typeR01 grant
Study typeNIH-funded research
Funding institutionMayo Clinic Arizona NIH-funded
Lab location1 site (Scottsdale, United States)
Project IDNIH-11314566 on NIH RePORTER

What this research studies

Proton therapy can spare healthy tissue but is sensitive to changes in anatomy that happen during a treatment course, especially for head and neck cancers. This project uses an AI model that learns to turn two routine 2D X-ray views into a 3D CT-like image to detect those changes. The synthetic 3D images would be used to speed up on-the-spot replanning so treatments can be adapted more often during a course. That workflow aims to improve alignment and organ protection while reducing the extra workload of adaptive planning, and it is designed to help centers without full 3D on-board imaging.

Who could benefit from this research

Good fit: People with head and neck cancers who are receiving or scheduled for intensity-modulated proton therapy, especially at centers that perform adaptive replanning or lack 3D on-board imaging.

Not a fit: Patients treated with only photon therapy, patients with cancers outside the head and neck region, or people who cannot access proton therapy are unlikely to benefit directly from this project.

Why it matters

Potential benefit: If successful, this could make proton therapy more accurate and reduce radiation to healthy tissues, lowering side effects for head and neck cancer patients.

How similar studies have performed: Prior AI work to create synthetic CTs and to speed adaptive radiotherapy has shown promising early results, but applying an end-to-end AI workflow specifically for online adaptive proton therapy is relatively new.

Where this research is happening

Scottsdale, United States

Researchers

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page below.
Last reviewed 2026-06-13 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.