International network for pattern recognition of tumours using magnetic resonance (INTERPRET)

We aim to facilitate the use of magnetic resonance spectroscopy (MRS) for improved diagnosis and therapy of patients with brain tumours brain tumours. Spectra, easily acquired alongside commonplace MR imaging (MRI) procedures, uniquely delineate biochemistry of human tissue in situ. Although MRS gives significantly improved brain tumour categorisation, it is not widely used, partly because radiologists have difficulty in interpreting spectral data. We therefore aim to develop a user-friendly computer program for spectral classification. Systems development will be informed by: (a) a large "training set" of data contributed by members of the consortium and (b) new spectra acquired under agreed protocols. Automated pattern recognition techniques will be developed for tumour classification together with an intuitive interface. The program will be freely available and will promote wider use of MRS, hence reducing the need for distressing and dangerous brain biopsies. Objectives: We will develop and test an innovative medical system for diagnosis and grading the malignancy of brain tumours and planning therapy, without a highly unpleasant brain biopsy. This Pattern Recognition program and its innovative, user friendly Graphical User Interface will accept MR spectra from advanced MRI instruments, widely available in Europe. We will also develop a large database of standardised brain tumour spectra and make it available to specialists in European Hospitals. This project will: (1) enable radiologists to categorise brain tumours using MRS; (2) aid planning of treatment and therapy (3) alleviate patient distress; (4) facilitate the uptake of MRS by clinicians; (5) consolidate MRS as a viable alternative to brain biopsy.