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Assignment of glial brain tumors in humans by in vivo 1H-magnetic resonance spectroscopy and multidimensional metabolic classification

Roser, Werner ; Hagberg, Gisela ; Mader, Irina ; Dellas, Sophie ; Seelig, Joachim ; Radue, Ernst ; Steinbrich, Wolfgang

In: Magnetic Resonance Materials in Physics, Biology and Medicine, 1997, vol. 5, no. 3, p. 179-183

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    Title
    • Assignment of glial brain tumors in humans by in vivo 1H-magnetic resonance spectroscopy and multidimensional metabolic classification
    Author
    • Roser, Werner. Department of Medical Radiology, Division of Neuroradiology, University Hospital Kantonsspital, Basel, Switzerland
    • Hagberg, Gisela. Magnetic Resonance Center and Biocenter, University of Basel, Basel, Switzerland
    • Mader, Irina. Department of Medical Radiology, Division of Neuroradiology, University Hospital Kantonsspital, Basel, Switzerland
    • Dellas, Sophie. Department of Medical Radiology, Division of Neuroradiology, University Hospital Kantonsspital, Basel, Switzerland
    • Seelig, Joachim. Magnetic Resonance Center and Biocenter, University of Basel, Basel, Switzerland
    • Radue, Ernst. Department of Medical Radiology, Division of Neuroradiology, University Hospital Kantonsspital, Basel, Switzerland
    • Steinbrich, Wolfgang. Department of Medical Radiology, Division of Neuroradiology, University Hospital Kantonsspital, Basel, Switzerland
    Document Type
    • Postprint
    Language
    • English
    Published in
    • Magnetic Resonance Materials in Physics, Biology and Medicine, 1997, vol. 5, no. 3, p. 179-183. Kluwer Academic Publishers
    Other Version
    OAI-PMH Identifier
    • oai:doc.rero.ch:315353
    Summary
    This study presents a simple approach for the noninvasive assignment of glial brain tumors according to malignancy by single-voxel proteon magnetic resonance spectroscopy at short echo times (TE≦50 milliseconds). Based on peak area ratios, a five-dimensional data set was obtained for each investigated subject. This vector was then projected along metabolic coordinates in a two-dimensional metabolic space. These coordinates had been determined in a previous study (Hagberg G et al., 1995,Magn Reson Med 34: 242-252). Tumor assignment was done without any knowledge of histology by comparing the location of the new cases to the features of the previous study. All 11 investigated glioblastomas multiforme, as well as 4 of 5 astrocytomas grade II, could easily be assigned to the groups of high- and low-grade tumors, respectively. Classification was more difficult in the case of a cystic astrocytoma grade II and one astrocytoma grade III. Two spectra measured in normal-appearing matter of glioblastoma patients were not classified as healthy. Using single-voxel proton magnetic resonance spectroscopy at short echo times with the knowledge of a base study, a straightforward, fast, and noninvasive differential diagnosis of glial brain tumors is possible