Abstract
This paper introduces HealthAgents, an EC-funded research project to improve the classification of brain tumours through multi-agent decision support over a secure and distributed network of local databases or Data Marts. HealthAgents will not only develop new pattern recognition methods for distributed classification and analysis of in vivo MRS and ex vivo/in vitro HRMAS and DNA data, but also define a method to assess the quality and usability of a new candidate local database containing a set of new cases, based on a compatibility score. Using its Multi-Agent architecture, HealthAgents intends to apply cutting-edge agent technology to the Biomedical field and develop the HealthAgents network, a globally distributed information and knowledge repository for brain tumour diagnosis and prognosis.
Special thanks from the HealthAgents Consortium to Carla Delgado and Ewen Maclean who put together the contributions from several colleagues in the consortium in order to build this text.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
C. Arús, B. Celda, S. Dasmahapatra, D. Dupplaw, H. González-Vélez, S. van Huffel, P. Lewis, M. Lluch i Ariet, M. Mier, A. Peet, and M. Robles. On the design of a web-based decision support system for brain tumour diagnosis using distributed agents. In C. Butz, N. T. Nguyen, and Y. Takama, editors, 2006 IEEE/WIC/ACM Int Conf on Web Intelligence & Intelligent Agent Technology (WI-IAT 2006 Workshops), pages 208–211, Hong Kong, Dec. 2006. IEEE.
S. Barton, F. Howe, A. Tomlins, S. Cudlip, J. Nicholson, B. Bell, and J. Griffiths. Comparison of in vivo 1H MRS of human brain tumours with 1H HR-MAS spectroscopy of intact biopsy samples in vitro. Magn. Reson. Mat. Phys. Biol. Med., 8(2):121–128, 1999.
F. Bellifemine, A. Poggi, and G. Rimassa. Jade: a fipa2000 compliant agent development environment. In AGENTS’ 01: Proceedings of the fifth international conference on Autonomous agents, pages 216–217, New York, NY, USA, 2001. ACM Press.
C. Bezir. D2rq — http://sites.wiwiss.fu-berlin.de/suhl/bizer/d2rq/. web site, 2006.
F. Bray, R. Sankila, J. Ferlay, and D. M. Parkin. Estimates of cancer incidence and mortality in Europe in 1995. Eur. J. Cancer, 38(1):99–166, 2002.
J. Broekstra, A. Kampman, and F. van Harmelen. Sesame: A generic architecture for storing and querying rdf and rdf schema. In ISWC’ 02: Proceedings of the First International Semantic Web Conference on The Semantic Web, pages 54–68, London, UK, 2002. Springer-Verlag.
D. Brugali and K. Sycara. Towards agent oriented application frameworks. ACM Computing Surv., 32(1):21–27, 2000.
G. R. Bunin, T. S. Surawicz, P. Witman, S. Preston-Martin, and J. M. B. F Davis. The descriptive epidemiology of craniopharyngioma. J Neurosurg., 89(4):547–551, 1998.
eTUMOUR Consortium. eTUMOUR — http://www.etumour.net/. web site, 2005.
H. González-Vélez, M. Mier, M. Julià-Sapé, T. N. Arvanitis, J. M. García-Gómez, M. Robles, P. H. Lewis, S. Dasmahapatra, D. Dupplaw, A. Peet, C. Arús, B. Celda, S. V. Huffel, and M. Lluch i Ariet. Healthagents: Distributed multi-agent brain tumour diagnosis and prognosis. Applied Intelligence, 2007. Accepted for publication.
G. Hagberg. From magnetic resonance spectroscopy to classification of tumors. a review of pattern recognition methods. NMR Biomed., 11(4–5):148–156, 1998.
S. Haque, D. Mital, and S. Srinivasan. Advances in biomedical informatics for the management of cancer. Ann. N.Y. Acad. Sci., 980:287–297, 2002.
F. A. Howe and K. S. Opstad. 1H MR spectroscopy of brain tumours and masses. NMR Biomed., 16(3):123–131, 2003.
M. Julià-Sapé, D. Acosta, C. Majós, A. Moreno-Torres, P. Wesseling, J. J. Acebes, J. R. Griffiths, and C. Arús. Comparison between neuroimaging classifications and histopathological diagnoses using an international multicenter brain tumor magnetic resonance imaging database. J. Neurosurg., 105(1):6–14, 2006.
M. Julià-Sapé, D. Acosta, M. Mier, C. Arús, D. Watson, and The INTERPRET consortium. A multi-centre, web-accessible and quality control-checked database of in vivo MR spectra of brain tumour patients. Magn. Reson. Mat. Phys. Biol. Med., 19(1):22–33, 2006.
M. Julià-Sapé, I. Coronel, C. Majós, M. Serrallonga, A. Candiota, M. Cos, J. Acebes, and C. Arús. A prospective study on the added value of mrs in brain tumor diagnosis. Oral presentation. ESMRMB (European Society for Magnetic Resonance in Medicine and Biology, 22nd Annual Scientific Meeting. Magnetic Resonance Materials in Physics, Biology and Medicine (MAGMA), 2005.
M. Julià-Sapé, I. Coronel, M. Serrallonga, C. Majós, A. Candiota, M. Cos, O. Godino, J. Acebes, C. Aguilera, and C. Arús. The added value of mrs in brain tumor diagnosis. poster in ISMRM, Seattle, USA, 2006.
C. W. Kleihues P. Pathology and genetics of tumours of the nervous system. International Agency for Cancer Research (IARC), 2 edition, 2000.
J. V. Manjón-Herrera, M. C. Martínez-Bisbal, B. Celda, L. Martí-Bonmatí, and M. Robles. SIView 2.0: A new MR spectroscopy imaging tool. Eur. Radiol. (Suppl.), 14(2):300, 2004.
M. C. Martínez-Bisbal, L. Martí-Bonmatí, J. Piquer, A. Revert, P. Ferrer, J. L. Llácer, M. Piotto, O. Assemat, and B. Celda. 1H and 13C HR-MAS spectroscopy of intact biopsy samples ex vivo and in vivo. NMR Biomed., 17(4):191–205, 2004.
E. Merelli, G. Armano, N. Cannata, F. Corradini, M. d Inverno, A. Doms, P. Lord, A. Martin, L. Milanesi, S. Möller, M. Schroeder, and M. Luck. Agents in bioinformatics, computational and systems biology. Brief. Bioinform., 2006. In press.
E. Merelli and F. Corradini. BioAgent — http://www.bioagent.org. web site, 2005.
P. Mischel, T. Cloughesy, and S. Nelson. DNA-microarray analysis of brain cancer: molecular classification for therapy. Nature Rev. Neuroscience, 5:782–792, 2004.
C. L. Nutt, D. R. Mani, R. A. Betensky, P. Tamayo, J. G. Cairncross, C. Ladd, U. Pohl, C. Hartmann, M. E. McLaughlin, T. T. Batchelor, P. M. Black, A. von Deimling, S. L. Pomeroy, T. R. Golub, and D. N. Louis. Gene expression-based classification of malignant gliomas correlates better with survival than histological classification. Cancer Res., 63:1602–1607, 2003.
J. U. Rosemary. Focussing user studies: Requirements capture for a decision support tool.
J. A. K. Suykens and J. Vandewalle. Least squares support vector machine classifiers. Neural Processing Letters, 9(3):293–300, 1999.
A. R. Tate, Underwood, Acosta, Juli-Sap, Majs, Moreno-Torres, Howe, van der Graaf, Lefournier, Murphy, Loosemore, Ladroue, Wesseling, L. Bosson, Cabaas, Simonetti, Gajewicz, Calvar, Capdevila, Wilkins, Bell, Rmy, Heerschap, Watson, Griffiths, and C. Arús. Development of a decision support system for diagnosis and grading of brain tumours using in vivo magnetic resonance single voxel spectra. NMR Biomed., 19(4):411–434, 2006.
A. R. Tate, J. Underwood, D. M. Acosta, M. Julià-Sapé, C. Majós, A. Moreno-Torres, F. A. Howe, M. van der Graaf, V. Lefournier, M. M. Murphy, A. Loosemore, C. Ladroue, P. Wesseling, J. L. Bosson, M. E. C. nas, A. W. Simonetti, W. Gajewicz, J. Calvar, A. Capdevila, P. R. Wilkins, B. A. Bell, C. Rémy, A. Heerschap, D. Watson, J. R. Griffiths, and C. Arús. Development of a decision support system for diagnosis and grading of brain tumours using in vivo magnetic resonance single voxel spectra. NMR Biomed., 19(4):411–434, 2006.
A. R. Tate, J. Underwood, C. Ladroue, R. Luckin, and J. R. Griffiths. Visualisation of multidimensional data for medical decision support. In AIME’ 01: Proceedings of the 8th Conference on AI in Medicine in Europe, pages 55–58, London, UK, 2001. Springer-Verlag.
The HealthAgents Consortium. HealthAgents — http://www.healthagents.net. web site, 2006–2008. Funded by the IST priority of the EU’s FP6 (Contract no.: IST-2004-27214).
S. Tortajada, J. M. García-Gómez, C. Vidal, C. Arús, M. Julià-Sapé, A. Moreno, and M. Robles. Improved classification by pattern recognition of brain tumours combining long and short echo time 1H-MR spectra. In 23rd Annual ESMRMB Meeting. European Society of Magnetic Resonance for Medicine and Biology, 2006.
Universitat Autònoma de Barcelona. INTERPRET project — http://azizu.uab.es/INTERPRET/. web site, 2005.
University of Southampton. AgentLink — http://www.agentlink.org/. web site, 2005.
V. N. Vapnik. The Nature of Statistical Learning Theory. Statistics for Engineering and Information Science. Springer-Verlag, New York, 2 edition, 1999.
J. T. Yao. Design of web-based support systems. In 8th Int Conf on Computer Science and Informatics, pages 349–352, Salt Lake City, USA, July 2005. CSI.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2007 Birkhäuser Verlag Basel/Switzerland
About this chapter
Cite this chapter
Lluch-Ariet, M. et al. (2007). On the Implementation of HealthAgents: Agent-Based Brain Tumour Diagnosis. In: Annicchiarico, R., Cortés, U., Urdiales, C. (eds) Agent Technology and e-Health. Whitestein Series in Software Agent Technologies and Autonomic Computing. Birkhäuser Basel. https://doi.org/10.1007/978-3-7643-8547-7_2
Download citation
DOI: https://doi.org/10.1007/978-3-7643-8547-7_2
Publisher Name: Birkhäuser Basel
Print ISBN: 978-3-7643-8546-0
Online ISBN: 978-3-7643-8547-7
eBook Packages: Computer ScienceComputer Science (R0)