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 paperpeer-review

3 Citations (Scopus)


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
Number of pages10
Publication statusPublished - 2017
EventInternational Conference on Computational Science (ICCS) - Zurich, Switzerland
Duration: 12 Jun 201714 Jun 2017

Publication series

NameProcedia Computer Science


ConferenceInternational Conference on Computational Science (ICCS)


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