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/Conference paperConference paper

1 Citation (Scopus)

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. (C) 2017 The Authors. Published by Elsevier B.V. Peer-review under responsibility of the scientific committee of the International Conference on Computational Science

Original languageEnglish
Title of host publicationInternational Conference on Computational Science (ICCS)
EditorsPetros Koumoutsakos, Michael Lees, Valeria Krzhizhanovskaya, Jack Dongarra, Peter Sloot
Place of PublicationUnited Kingdom
PublisherPergamon
Pages1522-1531
Number of pages10
DOIs
Publication statusPublished - 2017
EventInternational Conference on Computational Science (ICCS) - Zurich, Switzerland
Duration: 12 Jun 201714 Jun 2017

Publication series

NameProcedia Computer Science
PublisherELSEVIER SCIENCE BV
Volume108
ISSN (Print)1877-0509

Conference

ConferenceInternational Conference on Computational Science (ICCS)
CountrySwitzerland
CityZurich
Period12/06/1714/06/17

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) (pp. 1522-1531). (Procedia Computer Science; Vol. 108). United Kingdom: Pergamon. 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). editor / Petros Koumoutsakos ; Michael Lees ; Valeria Krzhizhanovskaya ; Jack Dongarra ; Peter Sloot. United Kingdom : Pergamon, 2017. pp. 1522-1531 (Procedia Computer Science).
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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. (C) 2017 The Authors. Published by Elsevier B.V. Peer-review under responsibility of the scientific committee of the International Conference on Computational Science",
keywords = "optimisation, brachytherapy, simulation, IMPLANTS, MIGRATION, DOSIMETRY",
author = "Betts, {John M.} and Christopher Mears and Reynolds, {Hayley M.} and Ebert, {Martin A.} and Annette Haworth",
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language = "English",
series = "Procedia Computer Science",
publisher = "Pergamon",
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editor = "Koumoutsakos, {Petros } and Lees, {Michael } and Krzhizhanovskaya, {Valeria } and Dongarra, {Jack } and Sloot, {Peter }",
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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). Procedia Computer Science, vol. 108, Pergamon, United Kingdom, pp. 1522-1531, International Conference on Computational Science (ICCS), 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). ed. / Petros Koumoutsakos; Michael Lees; Valeria Krzhizhanovskaya; Jack Dongarra; Peter Sloot. United Kingdom : Pergamon, 2017. p. 1522-1531 (Procedia Computer Science; Vol. 108).

Research output: Chapter in Book/Conference paperConference paper

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. (C) 2017 The Authors. Published by Elsevier B.V. Peer-review under responsibility of the scientific committee of the International Conference on Computational Science

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. (C) 2017 The Authors. Published by Elsevier B.V. Peer-review under responsibility of the scientific committee of the International Conference on Computational Science

KW - optimisation

KW - brachytherapy

KW - simulation

KW - IMPLANTS

KW - MIGRATION

KW - DOSIMETRY

U2 - 10.1016/j.procs.2017.05.075

DO - 10.1016/j.procs.2017.05.075

M3 - Conference paper

T3 - Procedia Computer Science

SP - 1522

EP - 1531

BT - International Conference on Computational Science (ICCS)

A2 - Koumoutsakos, Petros

A2 - Lees, Michael

A2 - Krzhizhanovskaya, Valeria

A2 - Dongarra, Jack

A2 - Sloot, Peter

PB - Pergamon

CY - United Kingdom

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). United Kingdom: Pergamon. 2017. p. 1522-1531. (Procedia Computer Science). https://doi.org/10.1016/j.procs.2017.05.075