A multi-centre, web-accessible and quality control-checked database of in vivo MR spectra of brain tumour patients

MAGMA. 2006 Feb;19(1):22-33. doi: 10.1007/s10334-005-0023-x. Epub 2006 Feb 14.

Abstract

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, <http://azizu.uab.es/INTERPRET>) 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.

Publication types

  • Multicenter Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Biomarkers, Tumor / analysis*
  • Brain Neoplasms / classification
  • Brain Neoplasms / metabolism*
  • Database Management Systems*
  • Databases, Factual*
  • Humans
  • Information Dissemination / methods
  • Information Storage and Retrieval / methods
  • Internet*
  • Magnetic Resonance Spectroscopy*
  • Neoplasm Proteins / analysis*
  • Online Systems
  • Quality Assurance, Health Care / methods
  • User-Computer Interface

Substances

  • Biomarkers, Tumor
  • Neoplasm Proteins