Inicio  /  Cancers  /  Vol: 12 Par: 11 (2020)  /  Artículo
ARTÍCULO
TITULO

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

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 and Markus Hutterer    

Resumen

Approximately 75?80% of according to the classification of world health organization (WHO) grade II and III gliomas are characterized by a mutation of the isocitrate dehydrogenase (IDH) enzymes, which are very important in glioma cell metabolism. Patients with IDH mutated glioma have a significantly better prognosis than patients with IDH wildtype status, typically seen in glioblastoma WHO grade IV. Here we used a prospective O-(2-18F-fluoroethyl)-L-tyrosine (18F-FET) positron emission tomography guided single-voxel 1H-magnetic resonance spectroscopy approach to predict the IDH status before surgery. Finally, 34 patients were included in this neuroimaging study, of whom eight had additionally tissue analysis. Using a machine learning technique, we predicted IDH status with an accuracy of 88.2%, a sensitivity of 95.5% and a specificity of 75.0%. It was newly recognized, that two metabolites (myo-inositol and glycine) have a particularly important role in the determination of the IDH status.

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