7 Tesla magnetic resonance spectroscopic imaging predicting IDH status and glioma grading.

Cornelius CadrienSukrit SharmaPhilipp LazenRoxane LicandroJulia FurtnerAlexandra LipkaEva NiessLukas HingerlStanislav MotykaStephan GruberBernhard StrasserBarbara KieselMario MischkulnigMatthias PreusserThomas Roetzer-PejrimovskyAdelheid WöhrerMichael WeberChristian DorferSiegfried TrattnigKarl RösslerWolfgang BognerGeorg WidhalmGilbert J Hangel

Published in: Cancer imaging : the official publication of the International Cancer Imaging Society (2024)

We successfully classified IDH mutation status and high- versus low-grade gliomas preoperatively based on 7 T MRSI and clinical tumor segmentation. With this approach, we demonstrated imaging based tumor marker predictions at least as accurate as comparable studies, highlighting the potential application of MRSI for pre-operative tumor classifications.

Keyphrases

low grade
high grade
magnetic resonance
high resolution
molecular docking
magnetic resonance imaging
convolutional neural network
computed tomography
risk assessment
fluorescence imaging
human health
molecular dynamics simulations