Go to content
UR Home

Validation Study for Non-Invasive Prediction of IDH Mutation Status in Patients with Glioma Using In Vivo 1H-Magnetic Resonance Spectroscopy and Machine Learning

URN to cite this document:
urn:nbn:de:bvb:355-epub-524407
DOI to cite this document:
10.5283/epub.52440
Bumes, Elisabeth ; Fellner, Claudia ; Fellner, Franz A. ; Fleischanderl, Karin ; Häckl, Martina ; Lenz, Stefan ; Linker, Ralf A. ; Mirus, Tim ; Oefner, Peter J. ; Paar, Christian ; Proescholdt, Martin A. ; Riemenschneider, Markus J. ; Rosengarth, Katharina ; Weis, Serge ; Wendl, Christina ; Wimmer, Sibylle ; Hau, Peter ; Gronwald, Wolfram ; Hutterer, Markus
[img]
Preview
License: Creative Commons Attribution 4.0
PDF - Published Version
(1MB)
Date of publication of this fulltext: 22 Jun 2022 07:06


Abstract

The isocitrate dehydrogenase (IDH) mutation status is an indispensable prerequisite for diagnosis of glioma (astrocytoma and oligodendroglioma) according to the WHO classification of brain tumors 2021 and is a potential therapeutic target. Usually, immunohistochemistry followed by sequencing of tumor tissue is performed for this purpose. In clinical routine, however, non-invasive determination of ...

plus


Owner only: item control page
  1. Homepage UR

University Library

Publication Server

Contact:

Publishing: oa@ur.de
0941 943 -4239 or -69394

Dissertations: dissertationen@ur.de
0941 943 -3904

Research data: daten@ur.de
0941 943 -5707

Contact persons