Imaging, automation and workflow challenges for online adaptive proton therapy
Radiotherapy with protons has the potential to spare healthy tissue and reduce the integral dose compared with conventional photon-based radiotherapy. Still, the same peaked depth-dose profile that underpins this advantage makes proton treatments highly sensitive to anatomical changes, positioning variations and systematic uncertainties. To remain safe, current proton therapy workflows rely mainly on robust optimisation, inevitably sacrificing part of the potential gain.
Authors
- L.P. Muren (ORCID: https://orcid.org/0000-0002-7418-5832)
- Barbara Knäusl (ORCID: https://orcid.org/0000-0003-4031-1711)
- Francesca Albertini (ORCID: https://orcid.org/0000-0002-2547-1269)
- Dirk Wagenaar (ORCID: https://orcid.org/0000-0001-8321-6824)
Institutions
- University Medical Center Groningen (NL)
- University of Groningen (NL)
- Aarhus University (DK)
- Paul Scherrer Institute (CH)
- Aarhus University Hospital (DK)
- Christian Doppler Laboratory for Thermoelectricity (AT)
Publication Details
- Journal
- Physics and Imaging in Radiation Oncology
- Published
- 2025-10-01
- DOI
- https://doi.org/10.1016/j.phro.2025.100875
- Primary Topic
- Radiation Therapy and Dosimetry
- Type
- article
- Field-Weighted Citation Impact
- 0.00