Biological tumor volume predicts survival in recurrent High-Grade glioma: A multiparametric [18F]FET PET/MRI study
Biological tumor volume is a significant prognostic imaging biomarker in recurrent high-grade glioma, emphasizing tumor burden over metabolic activity or perfusion of individual lesions. Volume-based PET metrics may offer better survival prediction than traditional PET or MRI parameters. Prospective multicenter studies are needed to validate these findings and explore automated segmentation and machine learning approaches for improved prognostication.
Authors
- Stephan Striepe (ORCID: https://orcid.org/0000-0002-6486-5068)
- M Schürer
- Osama Sabri (ORCID: https://orcid.org/0000-0002-6425-3504)
- Michael Rullmann (ORCID: https://orcid.org/0000-0002-2683-9432)
- Clemens Seidel (ORCID: https://orcid.org/0000-0001-8178-5089)
- Dylan Jozef Hendrik Augustinus Henssen (ORCID: https://orcid.org/0000-0002-3915-3034)
- Katja Jähne
- Cordula Scherlach (ORCID: https://orcid.org/0000-0002-8055-6126)
- Anne I.J. Arens (ORCID: https://orcid.org/0000-0001-7066-5372)
- Andreas Schildan (ORCID: https://orcid.org/0000-0002-9418-3826)
- Swen Hesse (ORCID: https://orcid.org/0000-0002-2055-2764)
- Ruth Stassart
Institutions
- Radboud University Nijmegen (NL)
- Radboud University Medical Center (NL)
- University Hospital Leipzig (DE)
- Leipzig University (DE)
Publication Details
- Journal
- European Journal of Nuclear Medicine and Molecular Imaging
- Published
- 2025-07-24
- DOI
- https://doi.org/10.1007/s00259-025-07469-8
- Citations
- 1
- Primary Topic
- Glioma Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 1.63