Prediction of progression-free and overall survival following temozolomide chemoradiation using FET PET-based parameters including radiomics in patients with glioblastoma
Our results suggest that FET PET parameters, including radiomics, are highly prognostic in patients with glioblastoma at an early stage of first-line therapy.
Authors
- Gereon R. Fink (ORCID: https://orcid.org/0000-0002-8230-1856)
- Isabelle Stetter (ORCID: https://orcid.org/0009-0007-1732-5759)
- Michael Wollring (ORCID: https://orcid.org/0000-0003-2177-6708)
- Felix Manuel Mottaghy (ORCID: https://orcid.org/0000-0002-7212-6521)
- Garry Ceccon
- Norbert Galldiks (ORCID: https://orcid.org/0000-0002-2485-1796)
- Karl‐Josef Langen (ORCID: https://orcid.org/0000-0003-1101-5075)
- Gabriele Stoffels (ORCID: https://orcid.org/0000-0001-7114-1941)
- Jan‐Michael Werner (ORCID: https://orcid.org/0000-0001-7147-4594)
- Philipp Lohmann (ORCID: https://orcid.org/0000-0002-5360-046X)
- Keith George Ciantar
Institutions
- Forschungszentrum Jülich (DE)
- Integrated Oncology (United States) (US)
- University Hospital Cologne (DE)
- RWTH Aachen University (DE)
Publication Details
- Journal
- Neuro-Oncology Advances
- Published
- 2025-08-29
- DOI
- https://doi.org/10.1093/noajnl/vdaf196
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Deutsche Forschungsgemeinschaft