INTERPRET Consortium, ;
A multi-centre, web-accessible and quality control-checked database of in vivo MR spectra of brain tumour patients.
MAGN RESON MATER PHY
22 - 33.
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 (013) 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 neuro radiologists willing to use information provided by MRS to help in the non-invasive diagnosis of brain tumours.
|Title:||A multi-centre, web-accessible and quality control-checked database of in vivo MR spectra of brain tumour patients|
|Keywords:||cancer, neurology, decision-support systems (DSS), confidentiality, AUTOMATED CLASSIFICATION, H-1 MRS, RESONANCE, EPIDEMIOLOGY|
|UCL classification:||UCL > School of Life and Medical Sciences
UCL > School of Life and Medical Sciences > Faculty of Population Health Sciences
UCL > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Epidemiology and Health Care > CHIME
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