ArticleScientific reports2023
A hybrid multi-particle approach to range assessment-based treatment verification in particle therapy.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Artificial Intelligence in Particle Therapy Treatment Planning: Current Advances and Future Directions.International journal of particle therapy · 2026Article
- Investigation of a Novel Snout-Mounted Quad-Compton Camera system for In Vivo Proton Dose Verification via Prompt Gamma Imaging.IEEE transactions on radiation and plasma medical sciences · 2026Article
- Particle Beam Radiobiology Status and Challenges: A PTCOG Radiobiology Subcommittee Report.International journal of particle therapy · 2024Review
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Authors and funding
20 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Particle therapy (PT) used for cancer treatment can spare healthy tissue and reduce treatment toxicity. However, full exploitation of the dosimetric advantages of PT is not yet possible due to range uncertainties, warranting development of range-monitoring techniques. This study proposes a novel range-monitoring technique introducing the yet unexplored concept of simultaneous detection and imaging of fast neutrons and prompt-gamma rays produced in beam-tissue interactions. A quasi-monolithic organic detector array is proposed, and its feasibility for detecting range shifts in the context of proton therapy is explored through Monte Carlo simulations of realistic patient models and detector resolution effects. The results indicate that range shifts of [Formula: see text] can be detected at relatively low proton intensities ([Formula: see text] protons/spot) when spatial information obtained through imaging of both particle species are used simultaneously. This study lays the foundation for multi-particle detection and imaging systems in the context of range verification in PT.
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