Objective The diagnosis and treatment of brain tumours is typically based on clinical symptoms, radiological appearance and often a histopathological diagnosis of a biopsy. However, treatment response of histologically or radiologically similar tumours can vary widely, particularly in children. Magnetic Resonance Spectroscopy (MRS) is a non-invasive technique for determining the tissue biochemical composition (metabolomic profile) of a tumour. Additionally, the genomic profile, determined using DNA micro-arrays, facilitates the classification of tumour grades and types not trivially distinguished by morphologic appearance. We argue that this new information for classifying tumours along with clinical data should be securely and easy accessible in order to improve the diagnosis and prognosis of tumours. All data will be stored anonymously, and securely through a network of Data Marts based on all this information acquired and stored at centres throughout Europe.This network will grant bona-fide access to an organisation in return for its contribution of clinical data to a distributed Data Warehouse (d-DWH)/Decision Support System (d-DSS). An ad hoc agent-based architecture will negotiate a distributed diagnostic tool for brain tumours, implement data mining techniques, transfer clinical data and extract information. The distributed nature of our approach will help the users to observe local centre policies for sharing information whilst allowing them to benefit from the use of the d-DWH.Moreover, it will permit the design of local centres targeting a specific patient population. We will form a consortium encompassing a wide range of talent from Universities, SME and Hospitals. The d-DWH/d-DSS, the MRS installed base and the expertise of the consortium will provide the foundations for the first EU grid for brain tumour diagnosis and prognosis. We will profit from a world-class clinical data exchange network to address one of the most pernicious diseases of our time: cancer Fields of science natural sciencesbiological sciencesgeneticsDNAnatural sciencescomputer and information sciencesdata sciencedata miningmedical and health sciencesclinical medicineoncologynatural sciencescomputer and information sciencesdata sciencedata exchangenatural sciencesphysical sciencesopticsspectroscopy Programme(s) FP6-IST - Information Society Technologies: thematic priority under the specific programme "Integrating and strengthening the European research area" (2002-2006). Topic(s) IST-2004-2.4.11 - Integrated biomedical information for better health Call for proposal Data not available Funding Scheme STREP - Specific Targeted Research Project Coordinator MICRO ART SL Address Calle baldiri i reixac 4-6 tr d 08028 Barcelona Spain See on map EU contribution € 0,00 Participants (8) Sort alphabetically Sort by EU Contribution Expand all Collapse all INSTITUTO DE APLICACIONES DE LAS TECNOLOGIAS DE LA INFORMACION Y DE LAS COMUNICACIONES AVANZADAS - ITACA Spain EU contribution € 0,00 Address Camino de vera s/n Valencia See on map KATHOLIEKE UNIVERSITEIT LEUVEN EU contribution € 0,00 Address See on map Links Website Opens in new window PHARMA QUALITY EUROPE SRL Italy EU contribution € 0,00 Address Via poggi 1 52020 Castelfranco di sopra (arezzo) See on map THE UNIVERSITY OF BIRMINGHAM United Kingdom EU contribution € 0,00 Address Edgbaston Birmingham See on map Links Website Opens in new window THE UNIVERSITY OF EDINBURGH EU contribution € 0,00 Address See on map Links Website Opens in new window UNIVERSITAT AUTONOMA DE BARCELONA Spain EU contribution € 0,00 Address Campus universitari s/n 08193 Bellaterra (cerdanyola del valles) See on map UNIVERSITAT DE VALENCIA Spain EU contribution € 0,00 Address Avenida blasco ibanez 13 22085 Valencia See on map Links Website Opens in new window UNIVERSITY OF SOUTHAMPTON United Kingdom EU contribution € 0,00 Address Highfield Southampton See on map Links Website Opens in new window
