Abstract #0958

Metabolic profiles of glioma grade and IDH mutation status using high resolution 7T 3D-FID-MRSI: Preliminary results

Cornelius Cadrien^1,2, Sukrit Sharma¹, Philipp Lazen¹, Julia Furtner³, Alexandra Lipka^1,4, Eva Hečková¹, Lukas Hingerl¹, Stanislav Motyka¹, Stephan Gruber¹, Bernhard Strasser¹, Barbara Kiesel², Mario Mischkulnig², Matthias Preusser⁵, Thomas Roetzer⁶, Adelheid Wöhrer⁶, Michael Weber⁷, Christian Dorfer², Karl Rössler², Siegfried Trattnig^1,4, Wolfgang Bogner¹, Georg Widhalm², and Gilbert Hangel^1,2

¹High-field MR Center, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria, ²Department of Neurosurgery, Medical University of Vienna, Vienna, Austria, ³Division of Neuroradiology and Musculoskeletal Radiology, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria, ⁴Christian Doppler Laboratory for Clinical Molecular MR Imaging, Vienna, Austria, ⁵Division of Oncology, Department of Inner Medicine I, Medical University of Vienna, Vienna, Austria, ⁶Division of Neuropathology and Neurochemistry, Department of Neurology, Medical University of Vienna, Vienna, Austria, ⁷Division of Medical Imaging and Nuclear Medicine, Medical University of Vienna, Vienna, Austria

We measured 38 HGG and LGG patients with a 15 min MR spectroscopic imaging sequence with an isotropic voxel size of 3.4 mm, covering a 64×64×39 matrix. After post-processing the measured spectra were analyzed statistically. Clinically segmented tumor regions showed statistically significant differences in metabolic ratios compared to normal-appearing white matter. Further analysis of metabolic hotspots with respect to tumor grade and IDH mutation status yielded no significant differences beyond myo-Inositol decreasing with tumor grade.

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