License: Creative Commons Attribution 4.0 PDF - Published Version (8MB) |
- URN to cite this document:
- urn:nbn:de:bvb:355-epub-543452
- DOI to cite this document:
- 10.5283/epub.54345
Abstract
The interpretation of fMRI data in glioblastoma (GB) is challenging as these tumors exhibit specific hemodynamic processes which, together with malignancy, tumor volume and proximity to eloquent cortex areas, may lead to misinterpretations of fMRI signals. The aim of this study was to investigate if different radiologically defined GB tumor growth patterns may also influence the fMRI signal, ...
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