Iranian Journal of Radiology

Published by: Kowsar

Efficacy of 1H-MRSI and DWI for Non-invasive Grading of Brain Gliomas

Mojtaba Miri 1 , Meysam Mohseni 2 , * , Alireza Madadi 3 , Kavous Firouznia 1 , Hamidreza Saligheh Rad 4 , Farid Azmoudeh Ardalan 5 , Anahita Fathi Kazerooni 4 , Ali Haidari 5 , Reza Taslimi 6 and Hossein Ghanaati 1
Authors Information
1 Advanced Diagnostic and Interventional Radiology Research Center (ADIR), Tehran University of Medical Sciences, Tehran, Iran
2 Department of Neurosurgery, Behbahan Faculty of Medical Sciences, Behbahan, Iran
3 Quantitative Magnetic Resonance Imaging and Spectroscopy Group, Research Center for Cellular and Molecular Imaging, Tehran University of Medical Sciences, Tehran, Iran
4 Department of Medical Physics and Biomedical Engineering, Tehran University of Medical Sciences, Tehran, Iran
5 Department of Pathology, Tehran University of Medical Sciences, Tehran, Iran
6 Department of Internal Medicine, Tehran University of Medical Sciences, Tehran, Iran
Article information
  • Iranian Journal of Radiology: April 2017, 14 (2); e17817
  • Published Online: August 7, 2016
  • Article Type: Research Article
  • Received: January 27, 2014
  • Revised: January 2, 2015
  • Accepted: May 19, 2015
  • DOI: 10.5812/iranjradiol.17817

To Cite: Miri M, Mohseni M, Madadi A, Firouznia K, Saligheh Rad H, et al. Efficacy of 1H-MRSI and DWI for Non-invasive Grading of Brain Gliomas, Iran J Radiol. 2017 ; 14(2):e17817. doi: 10.5812/iranjradiol.17817.

Copyright © 2016, Tehran University of Medical Sciences and Iranian Society of Radiology. This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License ( which permits copy and redistribute the material just in noncommercial usages, provided the original work is properly cited.
1. Background
2. Objectives
3. Patients and Methods
4. Results
5. Discussion
  • 1. Bauman G, Shaw EG. Low-grade glioma: current management and controversies. Clin Adv Hematol Oncol. 2003; 1(9): 546-53[PubMed]
  • 2. Nicholas MK. Glioblastoma multiforme: evidence-based approach to therapy. Expert Rev Anticancer Ther. 2007; 7(12 Suppl): 23-7[DOI][PubMed]
  • 3. Di Costanzo A, Scarabino T, Trojsi F, Giannatempo GM, Popolizio T, Catapano D, et al. Multiparametric 3T MR approach to the assessment of cerebral gliomas: tumor extent and malignancy. Neuroradiology. 2006; 48(9): 622-31[DOI][PubMed]
  • 4. Sugahara T, Korogi Y, Kochi M, Ikushima I, Shigematu Y, Hirai T, et al. Usefulness of diffusion-weighted MRI with echo-planar technique in the evaluation of cellularity in gliomas. J Magn Reson Imaging. 1999; 9(1): 53-60[PubMed]
  • 5. Knopp EA, Cha S, Johnson G, Mazumdar A, Golfinos JG, Zagzag D, et al. Glial neoplasms: dynamic contrast-enhanced T2*-weighted MR imaging. Radiology. 1999; 211(3): 791-8[DOI][PubMed]
  • 6. Kaminogo M, Ishimaru H, Morikawa M, Ochi M, Ushijima R, Tani M, et al. Diagnostic potential of short echo time MR spectroscopy of gliomas with single-voxel and point-resolved spatially localised proton spectroscopy of brain. Neuroradiology. 2001; 43(5): 353-63[PubMed]
  • 7. Moller-Hartmann W, Herminghaus S, Krings T, Marquardt G, Lanfermann H, Pilatus U, et al. Clinical application of proton magnetic resonance spectroscopy in the diagnosis of intracranial mass lesions. Neuroradiology. 2002; 44(5): 371-81[DOI][PubMed]
  • 8. Madadi A, Mohseni M, Fathi Kazerooni A, Karimi Alavijeh S, Saligheh Rad H. Accurate Quantification of Metabolites’ Ratios in Glial Brain Tumors Employing 1H- MRSI at 3T. ESMRMB. 2013;
  • 9. Barker PB, Bizzi A, De Stefano N, Lin DDM. Clinical MR spectroscopy: techniques and applications. 2010;
  • 10. Ratiney H, Sdika M, Coenradie Y, Cavassila S, van Ormondt D, Graveron-Demilly D. Time-domain semi-parametric estimation based on a metabolite basis set. NMR Biomed. 2005; 18(1): 1-13[DOI][PubMed]
  • 11. Sima DM, Rodriguez Diaz AM, Van Huffel S. Modeling the macromolecular background in Nuclear Magnetic Resonance spectroscopic signals. 4th European Conference of the International Federation for Medical and Biological Engineering. 2009; : 372-6
  • 12. Kleihues P, Louis DN, Scheithauer BW, Rorke LB, Reifenberger G, Burger PC, et al. The WHO Classification of Tumors of the Nervous System. J Neuropathol Experimental Neurol. 2002; 61(3): 215-25[DOI]
  • 13. Asari S, Makabe T, Katayama S, Itoh T, Tsuchida S, Ohmoto T. Assessment of the pathological grade of astrocytic gliomas using an MRI score. Neuroradiology. 1994; 36(4): 308-10[PubMed]
  • 14. Senft C, Hattingen E, Pilatus U, Franz K, Schanzer A, Lanfermann H, et al. Diagnostic value of proton magnetic resonance spectroscopy in the noninvasive grading of solid gliomas: comparison of maximum and mean choline values. Neurosurgery. 2009; 65(5): 908-13[DOI][PubMed]
  • 15. Xu D, Ozturk Isik E, Lupo JM, Chen AP, Vigneron DB, Nelson SJ, et al. T1 and T2 metabolite relaxation times in normal brain at 3T and 7T. J Molecular Imaging Dynamics. 2013; 2012
  • 16. Ratiney H, Coenradie Y, Cavassila S, van Ormondt D, Graveron-Demilly D. Time-domain quantitation of 1H short echo-time signals: background accommodation. MAGMA. 2004; 16(6): 284-96[DOI][PubMed]
  • 17. Aragao Mde F, Otaduy MC, Melo RV, Azevedo Filho HR, Victor EG, Silva JL, et al. [Multivoxel spectroscopy with short echo time: choline/N-acetyl-aspartate ratio and the grading of cerebral astrocytomas]. Arq Neuropsiquiatr. 2007; 65(2A): 286-94[PubMed]
  • 18. Zonari P, Baraldi P, Crisi G. Multimodal MRI in the characterization of glial neoplasms: the combined role of single-voxel MR spectroscopy, diffusion imaging and echo-planar perfusion imaging. Neuroradiology. 2007; 49(10): 795-803[DOI][PubMed]
  • 19. Alvarez-Linera J, Benito-Leon J, Escribano J, Rey G. Predicting the histopathological grade of cerebral gliomas using high b value MR DW imaging at 3-tesla. J Neuroimaging. 2008; 18(3): 276-81[DOI][PubMed]
  • 20. Lee EJ, Lee SK, Agid R, Bae JM, Keller A, Terbrugge K. Preoperative grading of presumptive low-grade astrocytomas on MR imaging: diagnostic value of minimum apparent diffusion coefficient. AJNR Am J Neuroradiol. 2008; 29(10): 1872-7[DOI][PubMed]
  • 21. Murakami R, Hirai T, Sugahara T, Fukuoka H, Toya R, Nishimura S, et al. Grading astrocytic tumors by using apparent diffusion coefficient parameters: superiority of a one- versus two-parameter pilot method. Radiology. 2009; 251(3): 838-45[DOI][PubMed]
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