J. Favre, J. Taha, and K. Burchiel, An analysis of the respective risks of hematoma formation in 361 consecutive morphological and functional stereotactic procedures, Neurosurgery, vol.50, pp.48-56, 2002.

W. Hall, The safety and efficacy of stereotactic biopsy for intracranial lesions, Cancer, vol.30, issue.9, pp.1749-1755, 1998.
DOI : 10.1002/(SICI)1097-0142(19980501)82:9<1756::AID-CNCR23>3.0.CO;2-2

M. Field, T. Witham, J. Flickinger, D. Kondziolka, and L. Lunsford, Comprehensive assessment of hemorrhage risks and outcomes after stereotactic brain biopsy, Journal of Neurosurgery, vol.94, issue.4, pp.545-551, 2001.
DOI : 10.3171/jns.2001.94.4.0545

J. Rich, D. Reardon, T. Peery, J. Dowell, J. Quinn et al., Phase II Trial of Gefitinib in Recurrent Glioblastoma, Journal of Clinical Oncology, vol.22, issue.1, pp.133-142, 2004.
DOI : 10.1200/JCO.2004.08.110

F. Howe and K. Opstad, 1H MR spectroscopy of brain tumours and masses, NMR in Biomedicine, vol.415, issue.3, pp.123-131, 2003.
DOI : 10.1002/nbm.822

I. Barba, A. Moreno, I. Martinez-perez, A. Tate, M. Cabanas et al., Magnetic resonance spectroscopy of brain hemangiopericytomas: high myoinositol concentrations and discrimination from meningiomas, Journal of Neurosurgery, vol.94, issue.1, pp.55-60, 2001.
DOI : 10.3171/jns.2001.94.1.0055

S. Grand, G. Passaro, A. Ziegler, F. Esteve, C. Boujet et al., H MR Spectroscopy???Initial Results, Radiology, vol.213, issue.3, pp.785-793, 1999.
DOI : 10.1148/radiology.213.3.r99dc10785

C. Majos, G. Cucurella, C. Aguilera, S. Coll, and L. Pons, Intraventricular meningiomas: MR imaging and MR spectroscopic findings in two cases, Am. J. Neuroradiol, vol.20, pp.882-885, 1999.

M. Meyerand, J. Pipas, A. Mamourian, T. Tosteson, and J. Dunn, Classification of biopsy confirmed brain tumours using singlevoxel MR spectroscopy, Am. J. Neuroradiol, vol.20, pp.117-123, 1999.

I. Burtscher, G. Skagerberg, B. Geijer, E. Englund, F. Stahlberg et al., Proton MR spectroscopy and preoperative diagnostic accuracy: an evaluation of intracranial mass lesions characterized by stereotactic biopsy findings, Am J Neuroradiol, vol.21, pp.84-93, 2000.

S. Herminghaus, T. Dierks, U. Pilatus, W. Möller-hartmann, J. Wittsack et al., Determination of histopathological tumor grade in neuroepithelial brain tumors by using spectral pattern analysis of in vivo spectroscopic data, Journal of Neurosurgery, vol.98, issue.1, pp.74-81, 2003.
DOI : 10.3171/jns.2003.98.1.0074

D. Edelenyi, F. Rubin, C. Esteve, F. Grand, S. Decorps et al., A new approach for analyzing proton magnetic resonance spectroscopic images of brain tumors: nosologic images, Nat. Med, vol.6, pp.1287-1289, 2000.

T. Mcknight, S. Noworolski, D. Vigneron, and S. Nelson, An automated technique for the quantitative assessment of 3D-MRSI data from patients with glioma, Journal of Magnetic Resonance Imaging, vol.40, issue.2, pp.167-177, 2001.
DOI : 10.1002/1522-2586(200102)13:2<167::AID-JMRI1026>3.0.CO;2-K

J. Underwood, A. Tate, R. Luckin, C. Majós, A. Capdevila et al., A prototype decision support system for MR spectroscopy-assisted diagnosis of brain tumours, MEDINFO 2001, pp.561-565, 2001.

A. Tate, C. Majos, A. Moreno, F. Howe, J. Griffiths et al., H brain tumor spectra: A multicenter study, Magnetic Resonance in Medicine, vol.125, issue.1, pp.29-36, 2003.
DOI : 10.1002/mrm.10315

N. Obuchowski, Receiver Operating Characteristic Curves and Their Use in Radiology, Radiology, vol.229, issue.1, pp.3-8, 2003.
DOI : 10.1148/radiol.2291010898

A. Van-den-boogaart, D. Van-ormondt, W. Pijnappel, R. De-beer, and M. Ala-korpela, Removal of the water resonance from 1 H magnetic resonance spectra, Mathematics in Signal Processing III, McWhirter JG, pp.175-195, 1994.

A. Van-den-boogaart and L. Vanhamme, MRUI Manual v. 96.3. A Users's Guide to the Magnetic Resonance User Interface Software Package, 1997.

U. Klose, In vivo proton spectroscopy in presence of eddy currents, Magnetic Resonance in Medicine, vol.80, issue.1, pp.26-30, 1990.
DOI : 10.1002/mrm.1910140104

I. Townsend, Statistics for QA auditors of good laboratory practices and good clinical practices studies Heinemann Newnes, Good Laboratory and Clinical Practices: Techniques for the Quality Assurance Professional, 1990.

M. Van-der-graaf, M. Rijpkema, Y. Van-der-meulen, C. Majós, A. Moreno et al., System quality assurance in INTERPRET, a multicenter study on brain tumor MR spectroscopy, Magn. Reson. Mater. Phys, vol.15, pp.245-246, 2002.

M. Murphy, A. Loosemore, I. Ferrer, P. Wesseling, P. Wilkins et al., Neuropathological diagnostic accuracy, British Journal of Neurosurgery, vol.16, issue.5, pp.461-464, 2002.
DOI : 10.1080/0268869021000030267

A. Tate, S. Damment, and J. Lindon, Investigation of the Metabolite Variation in Control Rat Urine Using 1H NMR Spectroscopy, Analytical Biochemistry, vol.291, issue.1, pp.17-26, 2001.
DOI : 10.1006/abio.2001.5008

M. Castillo, J. Smith, and L. Kwock, Correlation of myo-inositol levels and grading of cerebral astrocytomas, Am. J. Neuroradiol, vol.21, pp.1645-1649, 2000.

A. Tate, J. Griffiths, I. Martínez-pérez, A. Moreno, I. Barba et al., Towards a method for automated classification of1H MRS spectra from brain tumours, NMR in Biomedicine, vol.379, issue.4-5, pp.177-191, 1998.
DOI : 10.1002/(SICI)1099-1492(199806/08)11:4/5<177::AID-NBM534>3.0.CO;2-U

I. Martinez-perez, A. Moreno, J. Alonso, J. Aguas, G. Conesa et al., Diagnosis of brain abscess by magnetic resonance spectroscopy, Journal of Neurosurgery, vol.86, issue.4, pp.708-713, 1997.
DOI : 10.3171/jns.1997.86.4.0708

A. Devos, L. Lukas, J. Suykens, L. Vanhamme, A. Tate et al., Classification of brain tumours using short echo time 1H MR spectra, Journal of Magnetic Resonance, vol.170, issue.1, pp.164-175, 2004.
DOI : 10.1016/j.jmr.2004.06.010

L. Lukas, A. Devos, J. Suykens, L. Vanhamme, F. Howe et al., Brain tumor classification based on long echo proton MRS signals, Artificial Intelligence in Medicine, vol.31, issue.1, pp.73-89, 2004.
DOI : 10.1016/j.artmed.2004.01.001

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=

C. Ladroue, F. Howe, J. Griffiths, and A. Tate, Independent component analysis for automated decomposition of in vivo magnetic resonance spectra, Magnetic Resonance in Medicine, vol.11, issue.4, pp.697-703, 2003.
DOI : 10.1002/mrm.10595

C. Ladroue, Pattern recognition techniques for the study of magnetic resonance spectra of brain tumours, 2004.

M. Law, S. Cha, E. Knopp, G. Johnson, J. Arnett et al., High-Grade Gliomas and Solitary Metastases: Differentiation by Using Perfusion and Proton Spectroscopic MR Imaging, Radiology, vol.222, issue.3, pp.715-721, 2002.
DOI : 10.1148/radiol.2223010558

K. Opstad, M. Murphy, P. Wilkins, B. Bell, J. Griffiths et al., Differentiation of metastases from high-grade gliomas using short echo time1H spectroscopy, Journal of Magnetic Resonance Imaging, vol.2, issue.2, pp.187-192, 2004.
DOI : 10.1002/jmri.20093

A. Simonetti, Investigation of Brain Tumor Classification and its Reliability Using Chemometrics on MR Spectroscopy and MR Imaging Data, 2004.

A. Kuesel, G. Sutherland, W. Halliday, and I. Smith, 1H MRS of high grade astrocytomas: Mobile lipid accumulation in necrotic tissue, NMR in Biomedicine, vol.52, issue.3, pp.149-155, 1994.
DOI : 10.1002/nbm.1940070308

M. Martinez-bisbal, L. Marti-bonmati, J. Piquer, A. Revert, P. Ferrer et al., 1H and13C HR-MAS spectroscopy of intact biopsy samplesex vivo andin vivo1H MRS study of human high grade gliomas, NMR in Biomedicine, vol.17, issue.4, pp.191-205, 2004.
DOI : 10.1002/nbm.888

C. Majos, A. J. Aguilera, C. Serrallonga, M. Perez-martin, J. Acebes 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, vol.13, pp.582-591, 2003.

I. Mader, W. Roser, G. Hagberg, M. Schneider, R. Sauter et al., Proton chemical shift imaging, metabolic maps, and single voxel spectroscopy of glial brain tumors, MAGMA Magnetic Resonance Materials in Physics, Biology, and Medicine, vol.17, issue.Suppl, pp.139-150, 1996.
DOI : 10.1007/BF01772521

M. Rijpkema, J. Schuuring, Y. Van-der-meulen, M. Van-der-graaf, H. Bernsen et al., Characterization of oligodendrogliomas using short echo time1H MR spectroscopic imaging, NMR in Biomedicine, vol.24, issue.1, pp.12-18, 2003.
DOI : 10.1002/nbm.807

B. Guthrie, M. Ebersold, B. Scheithauer, and E. Shaw, Meningeal Hemangiopericytoma: Histopathological Features, Treatment, and Long-Term Follow-up of 44 Cases, Neurosurgery, vol.25, issue.4, pp.514-522, 1989.
DOI : 10.1227/00006123-198910000-00003

P. Kleihues and W. Cavanee, Pathology and Genetics of Tumours of the Nervous System. International Agency for Research on Cancer, 1997.

C. Segebarth, D. Balériaux, P. Luyten, and J. Hollander, Detection of metabolic heterogeneity of human intracranial tumors in vivo by1h nmr spectroscopic imaging, Magnetic Resonance in Medicine, vol.142, issue.1, pp.62-76, 1990.
DOI : 10.1002/mrm.1910130108

C. Majos, M. Julia-sape, J. Alonso, M. Serrallonga, C. Aguilera et al., Brain tumor classification by proton MR spectroscopy: comparison of diagnostic accuracy at short and long TE, Am. J. Neuroradiol, vol.25, pp.1696-1704, 2004.

M. Law, S. Yang, H. Wang, J. Babb, G. Johnson et al., Glioma grading: sensitivity, specificity, and predictive values of perfusion MR imaging and proton MR spectroscopic imaging compared with conventional MR imaging, Am. J. Neuroradiol, vol.24, pp.1989-1998, 2003.

S. Price, A. Pena, N. Burnet, J. R. Green, H. Carpenter et al., Tissue signature characterisation of diffusion tensor abnormalities in cerebral gliomas, European Radiology, vol.14, issue.10, pp.1909-1917, 2004.
DOI : 10.1007/s00330-004-2381-6

J. Provenzale, P. Mcgraw, P. Mhatre, A. Guo, and D. Delong, Peritumoral Brain Regions in Gliomas and Meningiomas: Investigation with Isotropic Diffusion-weighted MR Imaging and Diffusion-Tensor MR Imaging, Radiology, vol.232, issue.2, pp.451-460, 2004.
DOI : 10.1148/radiol.2322030959

V. Callot, D. Galanaud, F. Nicoli, L. Fur, Y. Figarella-branger et al., Perfusion MRI may play a role in the early diagnosis of aggressive glial tumours, Magn. Reson. Mater. PhyS, vol.18, pp.16-17, 2005.

J. Calvar, F. Meli, C. Romero, M. Calcagno, P. Yanez et al., Characterization of brain tumors by MRS, DWI and Ki-67 labeling index, Journal of Neuro-Oncology, vol.46, issue.3, pp.273-280, 2005.
DOI : 10.1007/s11060-004-3342-2