A novel vascular model yields increased MR perfusion metrics compared to conventional dynamic susceptibility contrast algorithms in untreated glioblastoma
NVM post-processing yielded higher normalized CBF, CBV, and MTT values within tumor hotspots than vendor pipelines, suggesting that Bayesian model-based perfusion analysis may enhance the detection of microvascular changes in glioblastoma. As validation against a gold standard is missing, prospective multicenter studies are warranted to confirm our findings, particularly with regard to treatment monitoring and clinical decision-making.
Authors
- Robert Forbrig (ORCID: https://orcid.org/0000-0002-1054-1463)
- Patrick N. Harter (ORCID: https://orcid.org/0000-0001-5530-6910)
- Robert Stahl (ORCID: https://orcid.org/0000-0003-2788-9316)
- Louisa von Baumgarten (ORCID: https://orcid.org/0000-0002-6634-0927)
- Philipp Karschnia (ORCID: https://orcid.org/0000-0002-1254-5310)
- Nathalie L. Albert (ORCID: https://orcid.org/0000-0003-0953-7624)
- Nico Teske (ORCID: https://orcid.org/0000-0002-7153-7994)
- André Neubauer
- Thomas Liebig (ORCID: https://orcid.org/0000-0001-5640-7780)
- Niklas Thon (ORCID: https://orcid.org/0000-0003-0011-5281)
- Jonas Reis (ORCID: https://orcid.org/0000-0001-8932-2265)
- Florian Ringel (ORCID: https://orcid.org/0000-0003-3132-7543)
- Katharina Müller (ORCID: https://orcid.org/0000-0001-7098-4744)
Institutions
- German Cancer Research Center (DE)
- Friedrich-Alexander-Universität Erlangen-Nürnberg (DE)
- University Hospitals of the Ruhr-University of Bochum (DE)
- LMU Klinikum (DE)
- Universitätsklinikum Erlangen (DE)
- Universitätsklinikum Knappschaftskrankenhaus Bochum (DE)
- Centre de Coopération Universitaire Franco-Bavarois (DE)
- German Centre for Cardiovascular Research (DE)
- Deutsches Konsortium für Translationale Krebsforschung (DE)
- Ludwig-Maximilians-Universität München (DE)
Publication Details
- Journal
- Neuro-Oncology Advances
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1093/noajnl/vdaf212
- Primary Topic
- Advanced MRI Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00