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Case-based reasoning in radiotherapy planning

Published: 26 October 2011 Publication History

Abstract

This paper is concerned with the development of case-based reasoning approaches to radiotherapy planning. One of the main advantages of case-based reasoning is that it enabled us to capturing of clinicians' knowledge and experience in radiotherapy planning. We investigate different issues that arise in the treatment for two cancer sites: (a) prostate cancer, (2) brain tumour and head and neck cancer. The main issue in prostate cancer treatment is determination of radiation dose to be administered in two phases. We developed a case-based reasoning system for dose recommendation in collaboration with an oncologist from the Nottingham University Hospitals NHS Trust, City Hospital Campus. A validation of the developed system is also discussed. The treatment for brain tumour and head and neck cancer addresses different issues compared to the previous one, namely the dose to be delivered is usually the same for all patients, but a variety of parameters have to be determined to achieve the prescribed dose distribution, such as the number of beams, the angles between the beams, the wedges that are used to control the distribution of radiation, etc. A case-based reasoning system for radiotherapy treatment planning of brain tumours is under development in collaboration with the medical physicists from the hospital.

References

[1]
H. E. Romeijn, R. K. Ahuja, J. F. Dempsey, and A. Kumar, "New linear programming approach to radiation therapy treatment planning problems," Operations Research, vol. 54, no. 2, pp. 201--216, 2006.
[2]
D. M. Shephard, M. C. Ferris, G. H. Olivera, and T. Rockwell Mackie, "Optimizing the delivery of radiation therapy to cancer patients", SIAM Review, vol. 41, no. 4, pp. 721--744, 1999.
[3]
X. Wu, Y. Zhu, J. Dai, and Z. Wang, "Selection and determination of beam weights based on genetic algorithms for conformal radiotherapy treatment planning," Physics in Medicine and Biology, vol. 45, pp. 2547--2558, 2000.
[4]
H. W. Hamacher and K. H. Kufer. "Inverse radiation therapy planning -- a multiple objective optimization approach," Discrete Applied Mathematics, vol. 118, pp. 145--161, 2002.
[5]
I. Kalet and W. Paluszynski, "Knowledge-based computer systems for radiotherapy planning", American Journal of Clinical Oncology, vol. 13, no. 4, pp. 344--351, 1990.
[6]
J. L. Kolodner, Case-Based Reasoning. Morgan Kaufmann, 1993.
[7]
I. Bichindaritz and S. Montani, "Advances in case-based reasoning in the health sciences," Artificial Intelligence in Medicine, vol. 51, no. 2, pp. 75--79, 2011.
[8]
A. Schlaefer and S. Dieterich, "Feasibility of case-based beam generation for robotic radiosurgery", Artificial Intelligence in Medicine, vol. 52, no. 2, pp. 67--75, 2011.
[9]
J. Berger, "Roentgen: radiation therapy and case-based reasoning", in Proceedings of the 10th Conference on Artificial Intelligence Applications, pp. 171--177, 1994.
[10]
G. Shafer, A Mathematical Theory of Evidence. Princeton, NJ: Princeton University Press, 1976.
[11]
N. Mishra, S. Petrovic, and S. Sundar, "A novel case based reasoning approach to radiotherapy planning," Expert Systems with Applications, vol. 38, pp. 10759--10769, 2011.
[12]
N. McDonnell and P. Cunningham, "A knowledge-light approach to regression using case-based reasoning," Lecture Notes in Computer Science, vol. 4106, pp.91--105, 2006.
[13]
N. Mishra, S. Petrovic, and S. Sundar, "A knowledge-light nonlinear case-based reasoning approach to radiotherapy planning,", in Proceedings of the 21st International Conference on Tools with Artificial Intelligence (ICTAI) USA, pp. 776--783, 2009.
[14]
A. Cox, N. Mishra, I. Sayers, S. Petrovic, and S. Sundar, "A decision aid for radiotherapy dose selection in prostate cancer based on non-linear Case Based Reasoning," Clinical Oncology (Abstracts), vol. 23, issue 3, pp. S19--S20, 2011.
[15]
R. Jagannathan, S. Petrovic, A., McKenna, and L. Newton, "A fuzzy non-linear similarity measure for case-based reasoning systems for radiotherapy treatment planning", in Proceedings of the 6th IFIP Conference on Artificial Intelligence, Applications and Innovations (AIAI), pp.112119, 2010.
[16]
R. Wang and Y. Zeng, "Nonlinear nearest-neighbour matching and its application in legal precedent retrieval," in Proceedings of the Third International Conference on Information Technology and Applications (ICITA), vol. 1, pp 341--346, 2005.

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  • (2016)'Choose a Game'Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems10.1145/2858036.2858258(2038-2049)Online publication date: 7-May-2016

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    cover image ACM Other conferences
    ISABEL '11: Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies
    October 2011
    949 pages
    ISBN:9781450309134
    DOI:10.1145/2093698
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    • Universitat Pompeu Fabra
    • IEEE
    • Technical University of Catalonia Spain: Technical University of Catalonia (UPC), Spain
    • River Publishers: River Publishers
    • CTTC: Technological Center for Telecommunications of Catalonia
    • CTIF: Kyranova Ltd, Center for TeleInFrastruktur

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    Publication History

    Published: 26 October 2011

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    Author Tags

    1. brain
    2. case-based reasoning
    3. head and neck cancer
    4. prostate cancer
    5. radiotherapy planning

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    • River Publishers
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    • CTIF

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    • (2016)'Choose a Game'Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems10.1145/2858036.2858258(2038-2049)Online publication date: 7-May-2016

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