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2011 Volume 26
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RESEARCH ARTICLE   Open Access    

A Web-accessible distributed data warehouse for brain tumour diagnosis

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    MicroArt

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    Pharma Quality Europe

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  • Corresponding authors: Francesc Estanyol ;  Xavier Rafael ;  Roman Roset ;  Miguel Lurgi ;  Mariola Mier ;  Magi Lluch-Ariet
  • Abstract: Currently, biological databases (DBs) are a common tool to complement the research of a wide range of biomedical disciplines, but there are only a few specialized medical DBs for human brain tumour magnetic resonance spectroscopy (MRS) data; they typically store a limited range of biological data (i.e. clinical information, magnetic resonance imaging and MRS data) and are not offered as open-source Structured Query Language relational DB schemas. We present a novel approach to biological DBs: a distributed Web-accessible DB for storing and managing clinical and biomedical data related to brain tumours from different clinical centres. This tool is designed for multi-platform systems with dissimilar DB management systems. Being the main data repository of the HealthAgents (HA) project, it uses multi-agent technology and allows the centres to share data and obtain diagnosis classifications from other centres distributed around the world in a reliable way.The HA project aims to create an agent-based distributed decision support system (DSS) to assist doctors to provide a brain tumour diagnosis and prognosis. The HA DB enables the DSS to totally integrate with its Graphical User Interface to perform classifications with the stored data and visualize the results using the HA distributed agents framework. This new feature converts the system presented in the first application in the world to combine a storage and management tool for brain tumour data and a complete Web-based DSS to obtain automatic diagnosis.
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  • Cite this article

    Francesc Estanyol, Xavier Rafael, Roman Roset, Miguel Lurgi, Mariola Mier, Magi Lluch-Ariet. 2011. A Web-accessible distributed data warehouse for brain tumour diagnosis. The Knowledge Engineering Review. 26:142 doi: 10.1017/S0269888911000142
    Francesc Estanyol, Xavier Rafael, Roman Roset, Miguel Lurgi, Mariola Mier, Magi Lluch-Ariet. 2011. A Web-accessible distributed data warehouse for brain tumour diagnosis. The Knowledge Engineering Review. 26:142 doi: 10.1017/S0269888911000142
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RESEARCH ARTICLE   Open Access    

A Web-accessible distributed data warehouse for brain tumour diagnosis

  • 1.

    MicroArt

  • 2.

    Pharma Quality Europe

  • Corresponding authors: Francesc Estanyol ;  Xavier Rafael ;  Roman Roset ;  Miguel Lurgi ;  Mariola Mier ;  Magi Lluch-Ariet
  • Published online: 28 July 2011
The Knowledge Engineering Review  26,  Article number: 10.1017/S0269888911000142  (2011)  |  Cite this article

Abstract: Abstract: Currently, biological databases (DBs) are a common tool to complement the research of a wide range of biomedical disciplines, but there are only a few specialized medical DBs for human brain tumour magnetic resonance spectroscopy (MRS) data; they typically store a limited range of biological data (i.e. clinical information, magnetic resonance imaging and MRS data) and are not offered as open-source Structured Query Language relational DB schemas. We present a novel approach to biological DBs: a distributed Web-accessible DB for storing and managing clinical and biomedical data related to brain tumours from different clinical centres. This tool is designed for multi-platform systems with dissimilar DB management systems. Being the main data repository of the HealthAgents (HA) project, it uses multi-agent technology and allows the centres to share data and obtain diagnosis classifications from other centres distributed around the world in a reliable way.The HA project aims to create an agent-based distributed decision support system (DSS) to assist doctors to provide a brain tumour diagnosis and prognosis. The HA DB enables the DSS to totally integrate with its Graphical User Interface to perform classifications with the stored data and visualize the results using the HA distributed agents framework. This new feature converts the system presented in the first application in the world to combine a storage and management tool for brain tumour data and a complete Web-based DSS to obtain automatic diagnosis.

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    Acknowledgments

    • Many people have participated in the research and development of different aspects of the work described in this paper. In particular, the authors thank Dr Bo Hu and Dr Madalina Croitoru for the development of the HADOM ontology; Dr Liang Xiao for the security model in the HA DSS; Dr David Dupplaw for the HA Framework—without whose key contribution, nothing else in the project would have been possible. The authors also thank Juan Miguel García-Gómez and Javier Vicente from ITACA, who are in charge of the development of the Classifier Agents; Carlos Sáez for the DSS GUI development; and Dr Margarida Julià-Sapé and Dr Ana Paula Candiota for their key collaboration on the DB schema design from a radiological and clinical point of view. Raw data conversion modules were kindly provided by the FAST consortium in the framework of the scientific cooperation between both projects; we particularly thank Prof. Danielle Graveron and Dan Stefan for their support on this issue. DMS routines were kindly provided by the University of Sussex, and further adaptations of DMS and also of jMRUI output to DMS format are credited to Guillem Mercadal and Iván Olier. Finally, we would also thank Prof. Paul Lewis for reviewing this article and his key contribution to the project's success by way of global scientific coordination; and to Chris Roland for his exhaustive English revision.

    • This paper reflects only the authors’ views. This has been carried out within the EU FP6 Project HealthAgents: Agent-Based Distributed Decision Support System for Brain Tumour Diagnosis and Prognosis (IST-2004-027214).

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    Francesc Estanyol, Xavier Rafael, Roman Roset, Miguel Lurgi, Mariola Mier, Magi Lluch-Ariet. 2011. A Web-accessible distributed data warehouse for brain tumour diagnosis. The Knowledge Engineering Review. 26:142 doi: 10.1017/S0269888911000142
    Francesc Estanyol, Xavier Rafael, Roman Roset, Miguel Lurgi, Mariola Mier, Magi Lluch-Ariet. 2011. A Web-accessible distributed data warehouse for brain tumour diagnosis. The Knowledge Engineering Review. 26:142 doi: 10.1017/S0269888911000142
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