Prostate cancer focal brachytherapy: Improving treatment plan robustness using a convolved dose rate model

John M. Betts, Christopher Mears, Hayley M Reynolds, Martin A Ebert, Annette Haworth

    Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

    Abstract

    Low-risk prostate cancer can be treated by focal brachytherapy, in which small radioactive seeds are implanted directly into the prostate at targeted locactions. Treatment planning is complicated by post-operative displacement of the seeds from their intended location. This reduces the actual dose received by the prostate and increases the dose to surrounding tissue such as the urethra and rectum, potentially causing harmful side-effects. Current treatment planning methods do not explicitly incorporate the effect of post-operative seed displacement. To address this, the radiation dose rate function used during planning is modified to reflect displacement using convolution. This new dose rate model enables plans to be produced automatically and efficiently. Simulation experiments show that treatment plans made using the convolved dose rate function are more robust to seed displacement than those using the original unconvolved dose, preserving treatment efficacy but giving increased protection to surrounding tissue.

    Original languageEnglish
    Title of host publicationInternational Conference on Computational Science, ICCS 2017
    Subtitle of host publication12-14 June 2017, Zurich, Switzerland
    EditorsPetros Koumoutsakos, Michael Lees, Valeria Krzhizhanovskaya, Jack Dongarra, Peter Sloot
    Place of PublicationAmsterdam, Netherlands
    PublisherElsevier
    Pages1522-1531
    Number of pages10
    DOIs
    Publication statusPublished - 2017
    EventInternational Conference on Computational Science 2017 - Zurich, Switzerland
    Duration: 12 Jun 201714 Jun 2017

    Conference

    ConferenceInternational Conference on Computational Science 2017
    Abbreviated titleICCS 2017
    CountrySwitzerland
    CityZurich
    Period12/06/1714/06/17

    Keywords

    • brachytherapy
    • optimisation
    • simulation

    Cite this

    Betts, J. M., Mears, C., Reynolds, H. M., Ebert, M. A., & Haworth, A. (2017). Prostate cancer focal brachytherapy: Improving treatment plan robustness using a convolved dose rate model. In P. Koumoutsakos, M. Lees, V. Krzhizhanovskaya, J. Dongarra, & P. Sloot (Eds.), International Conference on Computational Science, ICCS 2017: 12-14 June 2017, Zurich, Switzerland (pp. 1522-1531). Amsterdam, Netherlands: Elsevier. https://doi.org/10.1016/j.procs.2017.05.075
    Betts, John M. ; Mears, Christopher ; Reynolds, Hayley M ; Ebert, Martin A ; Haworth, Annette. / Prostate cancer focal brachytherapy : Improving treatment plan robustness using a convolved dose rate model. International Conference on Computational Science, ICCS 2017: 12-14 June 2017, Zurich, Switzerland. editor / Petros Koumoutsakos ; Michael Lees ; Valeria Krzhizhanovskaya ; Jack Dongarra ; Peter Sloot. Amsterdam, Netherlands : Elsevier, 2017. pp. 1522-1531
    @inproceedings{3ecdc46cfaf742de9ce6b305d8e002c1,
    title = "Prostate cancer focal brachytherapy: Improving treatment plan robustness using a convolved dose rate model",
    abstract = "Low-risk prostate cancer can be treated by focal brachytherapy, in which small radioactive seeds are implanted directly into the prostate at targeted locactions. Treatment planning is complicated by post-operative displacement of the seeds from their intended location. This reduces the actual dose received by the prostate and increases the dose to surrounding tissue such as the urethra and rectum, potentially causing harmful side-effects. Current treatment planning methods do not explicitly incorporate the effect of post-operative seed displacement. To address this, the radiation dose rate function used during planning is modified to reflect displacement using convolution. This new dose rate model enables plans to be produced automatically and efficiently. Simulation experiments show that treatment plans made using the convolved dose rate function are more robust to seed displacement than those using the original unconvolved dose, preserving treatment efficacy but giving increased protection to surrounding tissue.",
    keywords = "brachytherapy, optimisation, simulation",
    author = "Betts, {John M.} and Christopher Mears and Reynolds, {Hayley M} and Ebert, {Martin A} and Annette Haworth",
    year = "2017",
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    language = "English",
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    editor = "Koumoutsakos, {Petros } and Lees, {Michael } and Krzhizhanovskaya, { Valeria } and Dongarra, {Jack } and Sloot, {Peter }",
    booktitle = "International Conference on Computational Science, ICCS 2017",
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    Betts, JM, Mears, C, Reynolds, HM, Ebert, MA & Haworth, A 2017, Prostate cancer focal brachytherapy: Improving treatment plan robustness using a convolved dose rate model. in P Koumoutsakos, M Lees, V Krzhizhanovskaya, J Dongarra & P Sloot (eds), International Conference on Computational Science, ICCS 2017: 12-14 June 2017, Zurich, Switzerland. Elsevier, Amsterdam, Netherlands, pp. 1522-1531, International Conference on Computational Science 2017, Zurich, Switzerland, 12/06/17. https://doi.org/10.1016/j.procs.2017.05.075

    Prostate cancer focal brachytherapy : Improving treatment plan robustness using a convolved dose rate model. / Betts, John M.; Mears, Christopher; Reynolds, Hayley M; Ebert, Martin A; Haworth, Annette.

    International Conference on Computational Science, ICCS 2017: 12-14 June 2017, Zurich, Switzerland. ed. / Petros Koumoutsakos; Michael Lees; Valeria Krzhizhanovskaya; Jack Dongarra; Peter Sloot. Amsterdam, Netherlands : Elsevier, 2017. p. 1522-1531.

    Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

    TY - GEN

    T1 - Prostate cancer focal brachytherapy

    T2 - Improving treatment plan robustness using a convolved dose rate model

    AU - Betts, John M.

    AU - Mears, Christopher

    AU - Reynolds, Hayley M

    AU - Ebert, Martin A

    AU - Haworth, Annette

    PY - 2017

    Y1 - 2017

    N2 - Low-risk prostate cancer can be treated by focal brachytherapy, in which small radioactive seeds are implanted directly into the prostate at targeted locactions. Treatment planning is complicated by post-operative displacement of the seeds from their intended location. This reduces the actual dose received by the prostate and increases the dose to surrounding tissue such as the urethra and rectum, potentially causing harmful side-effects. Current treatment planning methods do not explicitly incorporate the effect of post-operative seed displacement. To address this, the radiation dose rate function used during planning is modified to reflect displacement using convolution. This new dose rate model enables plans to be produced automatically and efficiently. Simulation experiments show that treatment plans made using the convolved dose rate function are more robust to seed displacement than those using the original unconvolved dose, preserving treatment efficacy but giving increased protection to surrounding tissue.

    AB - Low-risk prostate cancer can be treated by focal brachytherapy, in which small radioactive seeds are implanted directly into the prostate at targeted locactions. Treatment planning is complicated by post-operative displacement of the seeds from their intended location. This reduces the actual dose received by the prostate and increases the dose to surrounding tissue such as the urethra and rectum, potentially causing harmful side-effects. Current treatment planning methods do not explicitly incorporate the effect of post-operative seed displacement. To address this, the radiation dose rate function used during planning is modified to reflect displacement using convolution. This new dose rate model enables plans to be produced automatically and efficiently. Simulation experiments show that treatment plans made using the convolved dose rate function are more robust to seed displacement than those using the original unconvolved dose, preserving treatment efficacy but giving increased protection to surrounding tissue.

    KW - brachytherapy

    KW - optimisation

    KW - simulation

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    U2 - 10.1016/j.procs.2017.05.075

    DO - 10.1016/j.procs.2017.05.075

    M3 - Conference Paper

    SP - 1522

    EP - 1531

    BT - International Conference on Computational Science, ICCS 2017

    A2 - Koumoutsakos, Petros

    A2 - Lees, Michael

    A2 - Krzhizhanovskaya, Valeria

    A2 - Dongarra, Jack

    A2 - Sloot, Peter

    PB - Elsevier

    CY - Amsterdam, Netherlands

    ER -

    Betts JM, Mears C, Reynolds HM, Ebert MA, Haworth A. Prostate cancer focal brachytherapy: Improving treatment plan robustness using a convolved dose rate model. In Koumoutsakos P, Lees M, Krzhizhanovskaya V, Dongarra J, Sloot P, editors, International Conference on Computational Science, ICCS 2017: 12-14 June 2017, Zurich, Switzerland. Amsterdam, Netherlands: Elsevier. 2017. p. 1522-1531 https://doi.org/10.1016/j.procs.2017.05.075