Risk modeling of imaging changes after proton beam therapy for childhood brain tumors
The identified univariate voxel- and patient-level risk factors provide a foundation for predicting post-therapeutic ICs in pediatric CNS tumor patients treated with PBT. Our findings contribute to refining risk prediction models and optimizing treatment planning strategies, ultimately aiming to minimize long-term radiation-induced effects in pediatric brain tumor patients.
Authors
- Armin Lühr (ORCID: https://orcid.org/0000-0002-9450-6859)
- Stefanie Schulze Schleithoff
- Sabine Frisch (ORCID: https://orcid.org/0000-0002-3111-5666)
- Beate Timmermann (ORCID: https://orcid.org/0000-0003-2274-2008)
- Steffen Löck (ORCID: https://orcid.org/0000-0002-7017-3738)
- Feline Heinzelmann (ORCID: https://orcid.org/0000-0001-9815-3440)
- Christian Bäumer (ORCID: https://orcid.org/0000-0003-0512-1146)
- Annika Stock (ORCID: https://orcid.org/0000-0003-0148-4652)
- Sarah E. Peters (ORCID: https://orcid.org/0000-0003-0094-8638)
Institutions
- TU Dortmund University (DE)
- Essen University Hospital (DE)
- Universitätsklinikum Würzburg (DE)
- West German Heart and Vascular Center Essen (DE)
- University Hospital Carl Gustav Carus (DE)
Publication Details
- Journal
- Radiotherapy and Oncology
- Published
- 2025-11-03
- DOI
- https://doi.org/10.1016/j.radonc.2025.111261
- Primary Topic
- Radiation Therapy and Dosimetry
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- European Commission
- Deutsche Forschungsgemeinschaft
- Mercator Research Center Ruhr