Abstract #2951

High-grade gliomas: Metabolic and structural assessment using high resolution 3D-MRSI at 7T

Gilbert Hangel^1,2, Cornelius Cadrien^1,2, Philipp Lazen¹, Alexandra Lipka¹, Philipp Moser¹, Eva Hečková¹, Lukas Hingerl¹, Stanislav Motyka¹, Stephan Gruber¹, Bernhard Strasser³, Georg Widhalm², Barbara Kiesel², Mario Mischkulnig², Julia Furtner⁴, Thomas Rötzer⁵, Karl Rössler², Siegfried Trattnig^1,6, and Wolfgang Bogner¹

¹High Field MR Centre, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria, ²Department of Neurosurgery, Medical University of Vienna, Vienna, Austria, ³Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States, ⁴Division of Neuroradiology and Musculoskeletal Radiology, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria, ⁵Clinical Institute of Neurology, Medical University of Vienna, Vienna, Austria, ⁶Christian Doppler Laboratory for Clinical Molecular MR Imaging, Vienna, Austria

We applied high resolution 3D-MRSI covering the whole brain at 7T to 16 high-grade glioma measurements and evaluated our findings in regards of quantifiable metabolites and their structure in the glioma compared to histology and clinical imaging. Our findings include 14 apparently quantifiable metabolites that resolve glioma structure. Especially the pattern of Glycine to myo-Inositol could be indicative of glioma type and proliferation beyond morphological visibility, making 3D-MRSI an interesting lead for preoperative biomarkers with spatial resolution. Other less-researched metabolites such as Serine and Cysteine could lead to new investigations of glioma metabolism.

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