A Multi-Centre, Web-Accessible and Quality Control-Checked Database of in vivo MR Spectra of Brain Tumour Patients

  • Margarida Julià-Sapé
  • Dionisio Acosta
  • Mariola Mier
  • Carles ArùsEmail author
  • Des Watson
  • The INTERPRET consortium
Research Article


Objective: To describe an Internet-accessible database that contains validated in vivo MR spectra and clinical data of brain tumour patients. Materials and methods: All data from patients entering the INTERPRET project (International Network for Pattern Recognition of Tumours Using Magnetic Resonance, were stored in a web-accessible database (iDB) and selected using its query functionality. Criteria for selection were that the case had a single voxel (SV) short-echo (20–32 ms) 1.5  T spectrum acquired from a nodular region of the tumour, that the voxel had been positioned in the same region as where subsequent biopsy was obtained, that the short-echo spectrum had not been discarded because of acquisition artefacts or other reasons, and that a histopathological diagnosis was agreed among a committee of neuropathologists. When the spectra were obtained from normal volunteers or were of abscesses or clinically proven metastases, biopsy was not required. Results: A subset of 304 cases (22 normal volunteers and 282 tumour patients) was obtained. These cases were migrated to another similar database (validated-DB). Conclusion: The validated-DB complies with ethics regulations and represents the population studied. It is accessible by neuroradiologists willing to use information provided by MRS to help in the non-invasive diagnosis of brain tumours


Cancer Neurology Decision-support systems (DSS) Confidentiality 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Rohringer M, Sutherland GR, Louw DF, Sima AA (1989) Incidence and clinicopathological features of meningioma. J Neurosurg 71(5 Pt 1):665–72PubMedGoogle Scholar
  2. 2.
    Kleihues P, Cavenee WK editors (2000) Pathology and genetics of tumours of the nervous system (World Health Organization Classification of Tumours) 2nd edn. IARC Press, LyonGoogle Scholar
  3. 3.
    Bunin GR, Surawicz TS, Witman PA, Preston-Martin S, Davis F, Bruner JM (1998) The descriptive epidemiology of craniopharyngioma. J Neurosurg 89(4):547–51PubMedCrossRefGoogle Scholar
  4. 4.
    Danielsen ER, Ross B (1999) Magnetic resonance spectroscopy diagnosis of neurological diseases. Marcel Dekker, New YorkGoogle Scholar
  5. 5.
    Alger JR, Frew AJ, Cloughesy TF, del Vecchio W, Villablanca JP, Curran JG (2002) Novel methodology for the archiving and interactive reading of clinical magnetic resonance spectroscopic imaging. Magn Reson Med 48:411–418PubMedCrossRefGoogle Scholar
  6. 6.
    INTERPRET project:
  7. 7.
  8. 8.
    Magnetic resonance spectroscopy protocols:
  9. 9.
    Tate AR, Majos C, Moreno A, Howe FA, Griffiths JR, Arus C (2003) Automated classification of short echo time in in vivo 1H brain tumor spectra: a multicenter study. Magn Reson Med 49 (1): 29–36PubMedCrossRefGoogle Scholar
  10. 10.
  11. 11.
    Candiota AP, Majos C, Bassols A, Cabanas ME, Acebes JJ, Quintero MR, Arus C (2004) Assignment of the 2.03 ppm resonance in in vivo 1H MRS of human brain tumour cystic fluid: contribution of macromolecules. MAGMA, Magn Reson Mater Phy 17 (1): 36–46CrossRefGoogle Scholar
  12. 12.
  13. 13.
    List of signed diagnoses: number: 164
  14. 14.
    Lefournier V, Underwood J, Bosson J, Julià-Sapé M, Van Der Graaf M, Howe F, Majós C, Moreno A, Rémy C, Arús C (2004) The added value of single-voxel proton magnetic resonance. MAGMA, Magn Reson Mater Phy 17(1):49Google Scholar
  15. 15.
    Murphy M, Loosemore A, Ferrer I, Wesseling P, Wilkins PR, Bell BA (2002) Neuropathological diagnostic accuracy. Br J Neurosurg 16(5):461–464PubMedCrossRefGoogle Scholar
  16. 16.
    Tate AR, Griffiths JR, Martinez-Perez I, Moreno A, Barba I, Cabanas ME, Watson D, Alonso J, Bartumeus F, Isamat F, Ferrer I, Vila F, Ferrer E, Capdevila A, Arus C (1998) Towards a method for automated classification of 1H MRS spectra from brain tumours. NMR Biomed 11(4,5):177–191PubMedCrossRefGoogle Scholar
  17. 17.
    European Parliament and Council. Directive 95/46/EC (1995) Official Journal 281:0031–0050
  18. 18.
    Juan Carlos I. Ley Orgánica 15/1999 de Protección de Datos (1999) Boletín Oficial del Estado (BOE), 298:43088–43099
  19. 19.
    Ohgaki H, Kleihues P (2005) Epidemiology and etiology of gliomas. Acta Neuropathol (Berl) 109(1):93–108CrossRefGoogle Scholar
  20. 20.
    Posner JB, Chernik NL (1978) Intracranial metastases from systemic cancer. Adv Neurol 19:579–592PubMedGoogle Scholar
  21. 21.
    Osborn AG (eds). (1994) Diagnostic neuroradiology Mo. Mosby, St LouisGoogle Scholar
  22. 22.
  23. 23.
    Remmelinck M, Lopes MB, Nagy N, Rorive S, Rombaut K, Decaestecker C, Kiss R, Salmon I (2000) How could static telepathology improve diagnosis in neuropathology?. Anal Cell Pathol 21(3,4):177–82PubMedGoogle Scholar
  24. 24.
    Acosta DM, van der Graaf M, Julià-Sapé M, Rijpkema M, Moreno A, Majós C, Howe F, Arús C, Watson D (2002) An automated empirical approach for quality control filtering of single voxel 1H spectra for brain tumour classification. MAGMA, Magn Reson Mater Phy 15(1):140–141Google Scholar
  25. 25.
    Kreis R (2004) Issues of spectral quality in clinical 1H-magnetic resonance spectroscopy and a gallery of artifacts. NMR Biomed 17(6):361–81PubMedCrossRefGoogle Scholar

Copyright information

© ESMRMB 2006

Authors and Affiliations

  • Margarida Julià-Sapé
    • 1
  • Dionisio Acosta
    • 1
    • 2
    • 3
  • Mariola Mier
    • 4
  • Carles Arùs
    • 1
    • 5
    Email author
  • Des Watson
    • 2
  • The INTERPRET consortium
  1. 1.Departament de Bioquímica i Biologia MolecularUniversitat Autònoma de BarcelonaCerdanyola del VallesSpain
  2. 2.Department of InformaticsUniversity of SussexFalmerUK
  3. 3.Departamento de Computación y TIUniversidad Simón BolívarCaracasVenezuela
  4. 4.Microart SL. Parc Científic de BarcelonaBarcelonaSpain
  5. 5.Departament de Bioquímica i Biologia Molecular, Unitat de CiènciesUniversitat Autònoma de Barcelona, Edifici C.Cerdanyola del VallèsSpain

Personalised recommendations