Linear discriminant analysis of brain tumour 1H MR spectra: A comparison of classification using whole spectra versus metabolite quantification

NMR in Biomedicine

Volumn 20, Issue 8, 2007, Pages 763-770

  Opstad, K S ^a   Ladroue, C ^a   Bell, B A ^a   Griffiths, J R ^a   Howe, F A ^a  

^a ST GEORGE'S UNIVERSITY OF LONDON   (United Kingdom)

Author keywords

1H MRS; Brain tumour; LCModel; Linear discriminant analysis (LDA); Pattern recognition

Indexed keywords

BRAIN; DECISION SUPPORT SYSTEMS; DIAGNOSIS; DISCRIMINANT ANALYSIS; IMAGE ACQUISITION; LIPIDS; MACROMOLECULES; METABOLITES; NONINVASIVE MEDICAL PROCEDURES; PATTERN RECOGNITION; TUMORS;

BRAIN TUMOUR; LINEAR DISCRIMINANT ANALYSIS;

MAGNETIC RESONANCE SPECTROSCOPY;

DEXAMETHASONE; PROTON;

ARTICLE; ASTROCYTOMA; BRAIN METASTASIS; BRAIN SURGERY; BRAIN TUMOR; CANCER CLASSIFICATION; CANCER GRADING; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DISCRIMINANT ANALYSIS; GLIOBLASTOMA; HISTOPATHOLOGY; HUMAN; HUMAN TISSUE; MAJOR CLINICAL STUDY; MENINGIOMA; METABOLITE; PATTERN RECOGNITION; PRIORITY JOURNAL; PROTON NUCLEAR MAGNETIC RESONANCE; QUANTITATIVE ANALYSIS; SPECTROSCOPY;

BRAIN NEOPLASMS; DISCRIMINANT ANALYSIS; HUMANS; MAGNETIC RESONANCE SPECTROSCOPY; REPRODUCIBILITY OF RESULTS;

EID: 37349122127     PISSN: 09523480     EISSN: 10991492     Source Type: Journal    
DOI: 10.1002/nbm.1147     Document Type: Article

References (26)

1. 1H MRS) to clinical brain tumor diagnosis. Br J Neurosurg. 2002; 16: 329-334.
2. Wilken B, Dechent P, Herms J, Maxton C, Markakis E, Hanefeld F, Frahm J. Quantitative proton magnetic resonance spectroscopy of focal brain lesions. Pediatr Neurol. 2000; 23: 22-31.
3. Confort-Gouny S, Vion-Dury J, Nicoli F, Dano P, Donnet A, Grazziani N, Gastaut JL, Grisoli F, Cozzone PJ. A multiparametric data analysis showing the potential of localized proton MR spectroscopy of the brain in the metabolic characterization of neurological diseases. J Neurol Sci. 1993; 118: 123-133.
4. Hagberg G, Burlina AP, Mader I, Roser W, Radue EW, Seelig J. In vivo proton MR spectroscopy of human gliomas: definition of metabolic coordinates for multi-dimensional classification. Magn Reson Med. 1995; 34: 242-252.
5. 1H magnetic resonance spectroscopic metabolite phenotypes. Neuroreport 1996; 7: 1597-1600.
6. Preul MC, Caramanos Z, Collins DL, Villemure JG, Leblanc R, Olivier A, Pokrupa R, Arnold DL. Accurate, noninvasive diagnosis of human brain tumors by using proton magnetic resonance spectroscopy. Nat Med. 1996; 2: 323-325.
7. 1H brain tumor spectra: a multicenter study. Magn Reson Med. 2003; 49: 29-36.
8. Herminghaus S, Dierks T, Pilatus U, Moller-Hartmann W, Wittsack J, Marquardt G, Labisch C, Lanfermann H, Schlote W, Zanella FE. Determination of histopathological tumor grade in neuroepithelial brain tumors by using spectral pattern analysis of in vivo spectroscopic data. J Neurosurg. 2003; 98: 74-81.
9. Majos C, Julia-Sape M, Alonso J, Serrallonga M, Aguilera C, Acebes JJ, Arus C, Gili J. Brain tumor classification by proton MR spectroscopy: comparison of diagnostic accuracy at short and long TE. AJNR Am J Neuroradiol. 2004; 25: 1696-1704.
10. De Edelenyi FS, Rubin C, Esteve F, Grand S, Decorps M, Lefournier V, Le Bas JF, Remy C. A new approach for analyzing proton magnetic resonance spectroscopic images of brain tumors: nosologic images. Nat Med. 2000; 6: 1287-1289.
11. Simonetti AW, Melssen WJ, Szabo de Edelenyi F, van Asten JJ, Heerschap A, Buydens LM. Combination of feature-reduced MR spectroscopic and MR imaging data for improved brain tumor classification. NMR Biomed 2005; 18: 34-43.
12. Lukas L, Devos A, Suykens JA, Vanharnme L, Howe FA, Majos C, Moreno-Torres A, Van der Graaf M, Tate AR, Arus C, Van Huffel S. Brain tumor classification based on long echo proton MRS signals. Artif Intell Med 2004; 31: 73-89.
13. 1H MR spectra. J Magn Reson. 2004; 170: 164-175.
14. Provencher SW. Estimation of metabolite concentrations from localized in vivo proton NMR spectra. Magn Reson Med 1993; 30: 672-679.
15. 1H spectra with LCModel. NMR Biomed 2001; 14: 260-264.
16. 1H MR spectra: a comparison of classification using complete spectra versus quantification. Proc ISMRM 2004; 12: 609.
17. Kleihues P, Burger PC, Scheithauer BW. The new WHO classification of brain tumors. Brain Pathol. 1993; 3: 255-268.
18. Webb PG, Sailasma N, Kohler SJ, Raidy T, Moats RA, Hurd RE. Automated single-voxel proton MRS: technical development and multisite verification. Magn Reson Med. 1994; 31: 365-373.
19. 1H-MR spectra in the presence of mobile lipids. Magn Reson Med. 2001; 46: 615-618.
20. 1H-MR spectra of human brain. Magn Reson Med. 2001; 46: 855-863.
21. 1H NMR spectra of the human brain. Magn Reson Med. 2001; 45: 948-954.
22. Seeger U, Klose U, Mader I, Grodd W, Nagele T. Parameterized evaluation of macromolecules and lipids in proton MR spectroscopy of brain diseases. Magn Reson Med. 2003; 49: 19-28.
23. Shino A, Nakasu S, Matsuda M, Handa J, Morikawa S, Inubushi T. Noninvasive evaluation of the malignant potential of intracranial meningiomas performed using proton magnetic resonance spectroscopy. J. Neurosurg 1999; 91: 928-934.
24. Majos C, Alonso J, Aguilera C, Serrallonga M, Coll S, Acebes JJ, Arus C, Gili J. Utility of proton MR spectroscopy in the diagnosis of radiologically atypical intracranial meningiomas. Neuroradiology 2003; 45: 129-136.
25. 2 relaxation time measurements in high-grade tumors: differentiation of glioblastomas and metastases. Proc ISMRM 2003; 11: 754.
26. 1H spectroscopy. J Magn Reson Imaging 2004; 20: 187-192.