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Magnetic Resonance Spectroscopy

  • Chapter
High-Grade Gliomas

Part of the book series: Current Clinical Oncology ((CCO))

Abstract

Magnetic resonance imaging (MRI) is the current standard neuroimaging modality for patients with high-grade gliomas (HGG). A valuable addition to the morphologic information obtained from MRI is magnetic resonance spectroscopy (MRS), which provides information regarding the metabolic status of the brain and tumor. In the clinical setting, MRS can be obtained during the same session as the MRI examination, therefore providing both morphological and metabolic imaging with minimal additional time.

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References

  1. Vigneron DB, Nelson SJ, Murphy-Boesch J, Kelley DA, Kessler HB, Brown TR, Taylor JS. Chemical shift imaging of human brain: axial, sagittal, and coronal P-31 metabolite images. Radiology 1990;177(3):643–649.

    PubMed  CAS  Google Scholar 

  2. Dowling C, Bollen AW, Noworolski SM, et al. Preoperative proton MR spectroscopic imaging of brain tumors: correlation with histopathologic analysis of resection specimens. AJNR Am J Neuroradiol 2001;22(4):604–612.

    PubMed  CAS  Google Scholar 

  3. Pirzkall A, McKnight TR, Graves EE, et al. MR-spectroscopy guided target delineation for high-grade gliomas. Int J Radiat Oncol Biol Phys 2001;50(4):915–928.

    Article  PubMed  CAS  Google Scholar 

  4. Opstad KS, Provencher SW, Bell B A, Griffiths JR, Howe FA. Detection of elevated glutathione in meningiomas by quantitative in vivo 1H MRS. Magn Reson Med 2003;49(4):632–637.

    Article  PubMed  CAS  Google Scholar 

  5. Tate AR, Majos C, Moreno A, Howe FA, Griffiths JR, Arus C. Automated classification of short echo time in in vivo 1H brain tumor spectra: a multicenter study. Magn Reson Med 2003;49(1):29–36.

    Article  PubMed  CAS  Google Scholar 

  6. Castillo M, Smith JK, Kwock L: Correlation of myo-inositol levels and grading of cerebral astrocytomas. AJNR Am J Neuroradiol 2000;21(9):1645–1649.

    PubMed  CAS  Google Scholar 

  7. Meyerand ME, Pipas JM, Mamourian A, Tosteson TD, Dunn JF. Classification of biopsy-confirmed brain tumors using single-voxel MR spectroscopy. AJNR Am J Neuroradiol 1999;20(1):117–123.

    PubMed  CAS  Google Scholar 

  8. Negendank WG, Sauter R, Brown TR, et al. Proton magnetic resonance spectroscopy in patients with glial tumors: a multicenter study. J Neurosurg 1996;84(3):449–458.

    PubMed  CAS  Google Scholar 

  9. Esteve F, Rubin C, Grand S, Kolodie H, Le Bas JF. Transient metabolic changes observed with proton MR spectroscopy in normal human brain after radiation therapy. Int J Radiat Oncol Biol Phys 1998;40(2):279–286.

    Article  PubMed  CAS  Google Scholar 

  10. Li X, Lu Y, Pirzkall A, McKnight T, Nelson SJ. Analysis of the spatial characteristics of metabolic abnormalities in newly diagnosed glioma patients. J Magn Reson Imaging 2002;16(3):229–237.

    Article  PubMed  Google Scholar 

  11. Howe FA, Barton SJ, Cudlip SA, et al. Metabolic profiles of human brain tumors using quantitative in vivo 1H magnetic resonance spectroscopy. Magn Reson Med 2003;49(2):223–232.

    Article  PubMed  CAS  Google Scholar 

  12. Majos C, Alonso J, Aguilera C, et al. Proton magnetic resonance spectroscopy ((1)H MRS) of human brain tumours: assessment of differences between tumour types and its applicability in brain tumour categorization. Eur Radiol. 2003;13(3):582–591.

    PubMed  Google Scholar 

  13. Furuya S, Naruse S, Ide M, et al. Evaluation of metabolic heterogeneity in brain tumors using 1H-chemical shift imaging method. NMR Biomed 1997;10(1):25–30.

    Article  PubMed  CAS  Google Scholar 

  14. Preul MC, Caramanos Z, Collins DL, et al. Accurate, noninvasive diagnosis of human brain tumors by using proton magnetic resonance spectroscopy. Nat Med 1996;2(3):323–325.

    Article  PubMed  CAS  Google Scholar 

  15. Hunter JV, Wang ZJ. MR spectroscopy in pediatric neuroradiology. Magn Reson Imaging Clin N Am 2001;9(1):165–189.

    PubMed  CAS  Google Scholar 

  16. Arnold DL, Shoubridge EA, Villemure JG, Feindel W. Proton and phosphorus magnetic resonance spectroscopy of human astrocytomas in vivo. Preliminary observations on tumor grading. NMR Biomed 1990;3(4):184–189.

    Article  PubMed  CAS  Google Scholar 

  17. Bruhn H, Frahm J, Gyngell ML, et al. Noninvasive differentiation of tumors with use of localized H-1 MR spectroscopy in vivo: initial experience in patients with cerebral tumors. Radiology 1989;172(2):541–548.

    PubMed  CAS  Google Scholar 

  18. Poptani H, Gupta RK, Roy R, Pandey R, Jain VK, Chhabra DK. Characterization of intracranial mass lesions with in vivo proton MR spectroscopy. AJNR Am J Neuroradiol 1995;16(8):1593–1603.

    PubMed  CAS  Google Scholar 

  19. Shimizu H, Kumabe T, Tominaga T, et al. Noninvasive evaluation of malignancy of brain tumors with proton MR spectroscopy. AJNR Am J Neuroradiol 1996;17(4):737–747.

    PubMed  CAS  Google Scholar 

  20. Taylor JS, Langston JW, Reddick WE, et al. Clinical value of proton magnetic resonance spectroscopy for differentiating recurrent or residual brain tumor from delayed cerebral necrosis. Int J Radiat Oncol Biol Phys 1996;36(5):1251–1261.

    Article  PubMed  CAS  Google Scholar 

  21. McKnight TR, von dem Bussche MH, Vigneron DB, et al. Histopathological validation of a three-dimensional magnetic resonance spectroscopy index as a predictor of tumor presence. J Neurosurg 2002;97(4):794–802.

    Article  PubMed  Google Scholar 

  22. Keles GE, Anderson B, Berger MS. The effect of extent of resection on time to tumor progression and survival in patients with glioblastoma multiforme of the cerebral hemisphere. Surg Neurol 1999;52(4):371–379.

    Article  PubMed  CAS  Google Scholar 

  23. Vigneron D, Bollen A, McDermott M, et al. Three-dimensional magnetic resonance spectroscopic imaging of histologically confirmed brain tumors. Magn Reson Imaging 2001;19(1):89–101.

    Article  PubMed  CAS  Google Scholar 

  24. Oh J, Henry RG, Pirzkall A, et al. Survival analysis in patients with glioblastoma multiforme: predictive value of choline-to-N-acetylaspartate index, apparent diffusion coefficient, and relative cerebral blood volume. J Magn Reson Imaging 2004;19(5):546–554.

    Article  PubMed  Google Scholar 

  25. Keles GE, Lamborn KR, Chang SM, Prados MD, Berger MS. Volume of residual disease as a predictor of outcome in adult patients with recurrent supratentorial glioblastomas multiforme who are undergoing chemotherapy. J Neurosurg 2004;100(1):41–46.

    PubMed  Google Scholar 

  26. Keles GE. Intracranial neuronavigation with intraoperative magnetic resonance imaging. Curr Opin Neurol. 2004;17(4):497–500.

    Article  PubMed  Google Scholar 

  27. Kelly PJ, Daumas-Duport C, Kispert DB, Kall BA, Scheithauer BW, Illig JJ. Imaging-based stereotaxic serial biopsies in untreated intracranial glial neoplasms. J Neurosurg 1987;66(6):865–874.

    PubMed  CAS  Google Scholar 

  28. Graves EE, Pirzkall A, Nelson SJ, Larson D, Verhey L. Registration of magnetic resonance spectroscopic imaging to computed tomography for radiotherapy treatment planning. Med Phys 2001;28(12):2489–2496.

    Article  PubMed  CAS  Google Scholar 

  29. Graves EE, Nelson SJ, Vigneron DB, et al. A preliminary study of the prognostic value of proton magnetic resonance spectroscopic imaging in gamma knife radiosurgery of recurrent malignant gliomas. Neurosurgery 2000;46(2):319–26.

    Article  PubMed  CAS  Google Scholar 

  30. McDermott MW, Chang SM, Keles GE, et al. Gamma knife radiosurgery for primary brain tumors. In: Germano IM, ed. LINAC and Gamma Knife Radiosurgery. Park Ridge, IL: American Association of Neurological Surgeons, 2000;189-202.

    Google Scholar 

  31. Nelson SJ, McKnight TR, Henry RG. Characterization of untreated gliomas by magnetic resonance spectroscopic imaging. Neuroimaging Clin N Am 2002;12(4):599–613.

    Article  PubMed  Google Scholar 

  32. Kunwar S. Convection enhanced delivery of IL13-PE38QQR for treatment of recurrent malignant glioma: presentation of interim findings from ongoing phase 1 studies. Acta Neurochir Suppl 2003;88:105–111.

    PubMed  CAS  Google Scholar 

  33. Ren H, Boulikas T, Lundstrom K, Soling A, Warnke PC, Rainov NG. Immunogene therapy of recurrent glioblastoma multiforme with a liposomally encapsulated replication-incompetent Semliki forest virus vector carrying the human interleukin-12 gene—a phase I/II clinical protocol. J Neurooncol 2003;64(1-2):147–154.

    Article  PubMed  CAS  Google Scholar 

  34. Lee MC, Pirzkall A, McKnight TR, Nelson SJ. 1H-MRSI of radiation effects in normal-appearing white matter: dose-dependence and impact on automated spectral classification. J Magn Reson Imaging 2004;19(4):379–388.

    Article  PubMed  Google Scholar 

  35. Wald LL, Nelson SJ, Day MR, et al. Serial proton magnetic resonance spectroscopy imaging of glioblastoma multiforme after brachytherapy. J Neurosurg 1997;87(4):525–534.

    Article  PubMed  CAS  Google Scholar 

  36. Chan YL, Yeung DK, Leung SF, Cao G. Proton magnetic resonance spectroscopy of late delayed radiation-induced injury of the brain. J Magn Reson Imaging 1999;10(2):130–137.

    Article  PubMed  CAS  Google Scholar 

  37. Kamada K, Houkin K, Abe H, Sawamura Y, Kashiwaba T. Differentiation of cerebral radiation necrosis from tumor recurrence by proton magnetic resonance spectroscopy. Neurol Med Chir (Tokyo) 1997;37(3):250–256.

    CAS  Google Scholar 

  38. Preul MC, Leblanc R, Caramanos Z, Kasrai R, Narayanan S, Arnold DL. Magnetic resonance spectroscopy guided brain tumor resection: differentiation between recurrent glioma and radiation change in two diagnostically difficult cases. Can J Neurol Sci 1998;25(1):13–22.

    PubMed  CAS  Google Scholar 

  39. Rabinov JD, Lee PL, Barker FG, et al. In vivo 3-T MR spectroscopy in the distinction of recurrent glioma versus radiation effects: initial experience. Radiology 2002;225(3):871–879.

    Article  PubMed  CAS  Google Scholar 

  40. Rock JP, Hearshen D, Scarpace L, et al. Correlations between magnetic resonance spectroscopy and image-guided histopathology, with special attention to radiation necrosis. Neurosurgery 2002;51(4):912–919.

    Article  PubMed  Google Scholar 

  41. Cha S. Perfusion MR Imaging of Brain Tumors. Top Magn Reson Imaging 2004;15(5):279–289.

    Article  PubMed  Google Scholar 

  42. Berman JI, Berger MS, Mukherjee P, Henry RG. Diffusion-tensor imaging-guided tracking of fibers of the pyramidal tract combined with intraoperative cortical stimulation mapping in patients with gliomas. J Neurosurg 2004;101(1):66–72.

    PubMed  Google Scholar 

  43. Henry RG, Berman JI, Nagarajan SS, Mukherjee P, Berger MS. Subcortical pathways serving cortical language sites: initial experience with diffusion tensor imaging fiber tracking combined with intraoperative language mapping. Neuroimage 2004;21(2):616–622.

    Article  PubMed  Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA

    G. Evren Keles

  2. Department of Radiology, University of California, San Francisco, San Francisco, CA

    Soonmee Cha

  3. Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA

    Mitchel S. Berger

Authors
  1. G. Evren Keles
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  2. Soonmee Cha
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  3. Mitchel S. Berger
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Editor information

Editors and Affiliations

  1. Department of Neurological Surgery Cleveland Clinic Foundation, Brain Tumor Institute, Cleveland, OH

    Gene H. Barnett MD

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© 2007 Humana Press Inc., Totowa, NJ

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Keles, G.E., Cha, S., Berger, M.S. (2007). Magnetic Resonance Spectroscopy. In: Barnett, G.H. (eds) High-Grade Gliomas. Current Clinical Oncology. Humana Press. https://doi.org/10.1007/978-1-59745-185-7_7

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  • DOI: https://doi.org/10.1007/978-1-59745-185-7_7

  • Publisher Name: Humana Press

  • Print ISBN: 978-1-58829-511-8

  • Online ISBN: 978-1-59745-185-7

  • eBook Packages: MedicineMedicine (R0)

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