Non-Invasive Prediction of <i>IDH</i> Mutation in Patients with Glioma WHO II/III/IV Based on F-18-FET PET-Guided In Vivo <sup>1</sup>H-Magnetic Resonance Spectroscopy and Machine Learning

Non-Invasive Prediction of <i>IDH</i> Mutation in Patients with Glioma WHO II/III/IV Based on F-18-FET PET-Guided In Vivo <sup>1</sup>H-Magnetic Resonance Spectroscopy and Machine Learning

<i>Isocitrate dehydrogenase</i> (<i>IDH)-1</i> mutation is an important prognostic factor and a potential therapeutic target in glioma. Immunohistological and molecular diagnosis of <i>IDH</i> mutation status is invasive. To avoid tumor biopsy, dedicated spectrosc...

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Bibliographic Details
Main Authors: Elisabeth Bumes, Fro-Philip Wirtz, Claudia Fellner, Jirka Grosse, Dirk Hellwig, Peter J. Oefner, Martina Häckl, Ralf Linker, Martin Proescholdt, Nils Ole Schmidt, Markus J. Riemenschneider, Claudia Samol, Katharina Rosengarth, Christina Wendl, Peter Hau, Wolfram Gronwald, Markus Hutterer
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Cancers
Subjects:
glioma
<i>IDH</i> mutation
<sup>18</sup>F-FET
<sup>1</sup>H-MRS
D-2-hydroxyglutarate
linear support vector machine
Online Access:https://www.mdpi.com/2072-6694/12/11/3406

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https://www.mdpi.com/2072-6694/12/11/3406

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