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 language | English |
|---|---|
| Title of host publication | International Conference on Computational Science (ICCS) |
| Editors | Petros Koumoutsakos, Michael Lees, Valeria Krzhizhanovskaya, Jack Dongarra, Peter Sloot |
| Place of Publication | United Kingdom |
| Publisher | Pergamon |
| Pages | 1522-1531 |
| Number of pages | 10 |
| DOIs | |
| Publication status | Published - 2017 |
| Event | International Conference on Computational Science (ICCS) - Zurich, Switzerland Duration: 12 Jun 2017 → 14 Jun 2017 |
Publication series
| Name | Procedia Computer Science |
|---|---|
| Publisher | ELSEVIER SCIENCE BV |
| Volume | 108 |
| ISSN (Print) | 1877-0509 |
Conference
| Conference | International Conference on Computational Science (ICCS) |
|---|---|
| Country | Switzerland |
| City | Zurich |
| Period | 12/06/17 → 14/06/17 |
Cite this
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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 paper › Conference 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 -