A non-local diffusion magnetic resonance imaging tract density biomarker to stratify, predict, and interpret survival rates in human glioblastoma
Overall, we offer a concrete implementation of the emerging paradigm that views GBM not as a focal lesion, but as a network disease sh aped by its complex interactions with distant brain regions.
Authors
- Joan Falcó-Roget (ORCID: https://orcid.org/0000-0002-9410-6361)
- Annette Janus (ORCID: https://orcid.org/0009-0001-4894-9608)
- Jan K. Argasiński (ORCID: https://orcid.org/0000-0002-2992-718X)
- Gianpaolo Antonio Basile (ORCID: https://orcid.org/0000-0002-5491-7688)
- Alberto Cacciola (ORCID: https://orcid.org/0000-0001-9412-4116)
- Letterio S. Politi (ORCID: https://orcid.org/0000-0002-6190-6688)
- Sara Lillo (ORCID: https://orcid.org/0000-0001-7300-1168)
Institutions
- University of Messina (IT)
- Jagiellonian University (PL)
- Humanitas University (IT)
- University of Pavia (IT)
- National Center for Oncological Hadrontherapy (IT)
- Oxford Centre for Computational Neuroscience (GB)
- IRCCS Humanitas Research Hospital (IT)
Publication Details
- Journal
- Neuro-Oncology
- Published
- 2025-10-08
- DOI
- https://doi.org/10.1093/neuonc/noaf234
- Primary Topic
- Advanced Neuroimaging Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- European Commission
- Fundacja na rzecz Nauki Polskiej
- Narodowym Centrum Nauki
- Infrastruktura PL-Grid
- Academic Computer Centre Cyfronet, AGH University of Science and Technology