Abstract #2533

Comparison of MEGA-PRESS and Short Echo Time PRESS on Classification of IDH Mutation Using Machine Learning at 3T

Ayhan Gursan¹, Gokce Hale Hatay¹, Cengiz Yakicier², M. Necmettin Pamir^3,4, Koray Ozduman^3,4, Alp Dincer^3,5, and Esin Ozturk-Isik¹

¹Institute of Biomedical Engineering, Bogazici University, Istanbul, Turkey, ²Department of Molecular Biology and Genetics, Acibadem Mehmet Ali Aydinlar University, Istanbul, Turkey, ³Neuroradiology Research Center, Acibadem Mehmet Ali Aydinlar University, Istanbul, Turkey, ⁴Department of Neurosurgery, Acibadem Mehmet Ali Aydinlar University, Istanbul, Turkey, ⁵Department of Radiology, Acibadem Mehmet Ali Aydinlar University, Istanbul, Turkey

Isocitrate dehydrogenase (IDH) mutation is common in grade II and grade III gliomas, and results in better patient prognosis IDH mutant (IDH-mut) gliomas. Magnetic resonance spectroscopy (MRS) studies indicated an increase in 2-hydroxyglutarate (2HG) and decrease in glutamate (Glu) and glutathione (GSH) as a result of IDH mutation. The goal of this study is to compare IDH mutation classification performances of short echo-time (TE) PRESS and MEGA-PRESS by using machine learning in 60 glioma patients. Highest average classification accuracy was 75% with coarse decision trees for short TE PRESS, and 74% with ensemble of bagged of trees for MEGA-PRESS.

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