Gliomas are a class of aggressive brain tumors with a low survival rate. New biomarkers are needed to monitor tumor progression and response to treatment. Our goal was to compare the effectiveness of operator-independent LCModel analysis for HRMAS NMR spectra acquired from histologically confirmed glioma tissue (n=14) using both FID and CPMG pulse sequences. The CRLBs of lactate and myo-inositol were significantly lower for spectra acquired with the CPMG compared to the FID sequence. Relevant glioma metabolites were quantified with LCModel from most spectra acquired with CPMG but not FID.