| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH | TABLE OF CONTENTS |
Department of Pathology [L. L. C., D. N. L.], Nuclear Magnetic Resonance Center and Division of Neuroradiology, Department of Radiology [I.W.C., R. G. G.], Neurosurgical Service [D. N. L.], Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts 02129
High-resolution magic angle spinning proton (HRMAS 1H) magnetic resonance spectroscopy produces well-resolved spectra of metabolites from intact tissue specimens. Here we report the results of a preliminary study of 19 human brain tumors obtained by applying this method. Among these 19 cases were 2 low-grade astrocytomas, 1 anaplastic astrocytoma, 8 glioblastomas, 6 meningiomas, and 2 schwannomas. In addition, autopsy human brain tissues from two subjects without any known neurological diseases were used as normal controls. The HRMAS 1H magnetic resonance spectroscopy measurements were performed at 2°C on a 400-MHz NMR spectrometer with a HRMAS speed of 2.5 kHz. From these HRMAS 1H MR spectra, we measured the concentrations of 11 metabolites, the ratios of 15 metabolites (resonances) to creatine (at 3.03 ppm), and the spin-spin relaxation time for these metabolites (resonances). Our results indicate that these parameters have the potential to characterize tumor types and grades with statistical significance as well as identify tumor biochemical characteristics. In particular, we found that compared with metabolite concentrations and metabolite spin-spin relaxation time, the metabolic ratios presented the highest sensitivity in differentiating normal tissue from tumors, as well as in distinguishing between tumor groups. Of 15 analyzed metabolic ratios, 12 showed statistical significance in differentiating normal tissue from low-grade and anaplastic astrocytomas, 13 showed statistical significance in differentiating normal tissue from glioblastomas, 14 showed statistical significance in differentiating normal tissue from schwannomas, and 9 showed statistical significance in differentiating normal tissue from meningiomas. Moreover, our results strongly indicate that the resonance ratio of inositol (at 4.05 ppm) to creatine may help distinguish tumor type. Our results suggest that the HRMAS method for intact tissue measurement may function as an adjunct to histopathology and contribute to improved accuracy for brain tumor diagnoses.
1 Supported in part by an American Cancer Society Institutional Grant IRG-173H (to L. L. C.), by USPHS Grants NS24279 (to D. N. L.) and NS34626 (to R. G. G.), and by the Massachusetts General Hospital Nuclear Magnetic Resonance Center.
2 To whom requests for reprints should be addressed, at Pathology Research, Massachusetts General Hospital CNY-7, 149 13th Street, Charlestown, MA 02129.
Received 9/10/97. Accepted 2/23/98.
This article has been cited by other articles:
![]() |
G. D. Lewis, A. Asnani, and R. E. Gerszten Application of Metabolomics to Cardiovascular Biomarker and Pathway Discovery J. Am. Coll. Cardiol., July 8, 2008; 52(2): 117 - 123. [Abstract] [Full Text] [PDF] |
||||
![]() |
F. G. Blankenberg In Vivo Detection of Apoptosis J. Nucl. Med., June 1, 2008; 49(Suppl_2): 81S - 95S. [Abstract] [Full Text] [PDF] |
||||
![]() |
S. Chawla, S. Wang, R.L. Wolf, J.H. Woo, J. Wang, D.M. O'Rourke, K.D. Judy, M.S. Grady, E.R. Melhem, and H. Poptani Arterial Spin-Labeling and MR Spectroscopy in the Differentiation of Gliomas AJNR Am. J. Neuroradiol., October 1, 2007; 28(9): 1683 - 1689. [Abstract] [Full Text] [PDF] |
||||
![]() |
S. Cha Update on Brain Tumor Imaging: From Anatomy to Physiology AJNR Am. J. Neuroradiol., March 1, 2006; 27(3): 475 - 487. [Full Text] [PDF] |
||||
![]() |
X. Li, D. B. Vigneron, S. Cha, E. E. Graves, F. Crawford, S. M. Chang, and S. J. Nelson Relationship of MR-Derived Lactate, Mobile Lipids, and Relative Blood Volume for Gliomas in Vivo AJNR Am. J. Neuroradiol., April 1, 2005; 26(4): 760 - 769. [Abstract] [Full Text] [PDF] |
||||
![]() |
M. Law, S. Yang, H. Wang, J. S. Babb, G. Johnson, S. Cha, E. A. Knopp, and D. Zagzag Glioma Grading: Sensitivity, Specificity, and Predictive Values of Perfusion MR Imaging and Proton MR Spectroscopic Imaging Compared with Conventional MR Imaging AJNR Am. J. Neuroradiol., November 1, 2003; 24(10): 1989 - 1998. [Abstract] [Full Text] [PDF] |
||||
![]() |
C. Dowling, A. W. Bollen, S. M. Noworolski, M. W. McDermott, N. M. Barbaro, M. R. Day, R. G. Henry, S. M. Chang, W. P. Dillon, S. J. Nelson, et al. Preoperative Proton MR Spectroscopic Imaging of Brain Tumors: Correlation with Histopathologic Analysis of Resection Specimens AJNR Am. J. Neuroradiol., April 1, 2001; 22(4): 604 - 612. [Abstract] [Full Text] |
||||
![]() |
L. L. Cheng, D. C. Anthony, A. R. Comite, P. M. Black, A. A. Tzika, and R. G. Gonzalez Quantification of microheterogeneity in glioblastoma multiforme with ex vivo high-resolution magic-angle spinning (HRMAS) proton magnetic resonance spectroscopy Neuro-oncol, April 1, 2000; 2(2): 87 - 95. [Abstract] [PDF] |
||||
| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH | TABLE OF CONTENTS |
| Cancer Research | Clinical Cancer Research |
| Cancer Epidemiology Biomarkers & Prevention | Molecular Cancer Therapeutics |
| Molecular Cancer Research | Cancer Prevention Research |
| Cancer Prevention Journals Portal | Cancer Reviews Online |
| Annual Meeting Education Book | Meeting Abstracts Online |