Proton radiography interpretation with artificial intelligence for treatment deviation detection in proton therapy.

ABSTRACT:

Background and purpose

Patient setup errors, anatomical changes, and uncertainties in proton range estimation degrade dose conformity in proton therapy. Adaptive proton therapy (APT) mitigates these deviations by monitoring and adjusting treatment plans. Proton radiography (PR) offers direct proton range information, making it a promising method to detect such deviations. In this study, we developed and evaluated an artificial intelligence (AI) PR tool for automated interpretation and classification of treatment deviations.

Materials and methods

Computed Tomography (CT) scans from 32 head-and-neck cancer patients were synthetically modified to simulate setup errors (±2-4 mm), calibration curve errors (±3-5% for fat/soft tissue, ±7-11% for bone), and anatomical changes (±2-12

SUBMITTER: Perotti Bernardini G 

PROVIDER: S-EPMC12720023 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature