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Abstract #2951

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

Gilbert Hangel1,2, Cornelius Cadrien1,2, 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 Trattnig1,6, 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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