Nanodosimetry-Based Plan Optimization for Particle Therapy
Treatment planning for particle therapy is currently an active field of research due uncertainty in how to modify physical dose in order to create a uniform biological dose response in the target. A novel treatment plan optimization strategy based on measurable nanodosimetric quantities rather than...
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Hindawi Limited
2015-01-01
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Series: | Computational and Mathematical Methods in Medicine |
Online Access: | http://dx.doi.org/10.1155/2015/908971 |
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doaj-6a263f61187b4131b13428be46391c062020-11-24T22:28:19ZengHindawi LimitedComputational and Mathematical Methods in Medicine1748-670X1748-67182015-01-01201510.1155/2015/908971908971Nanodosimetry-Based Plan Optimization for Particle TherapyMargherita Casiraghi0Reinhard W. Schulte1Center for Proton Therapy, Paul Scherrer Institut (PSI), 5232 Villigen, SwitzerlandDivision of Radiation Research, Loma Linda University, Loma Linda, CA 92350, USATreatment planning for particle therapy is currently an active field of research due uncertainty in how to modify physical dose in order to create a uniform biological dose response in the target. A novel treatment plan optimization strategy based on measurable nanodosimetric quantities rather than biophysical models is proposed in this work. Simplified proton and carbon treatment plans were simulated in a water phantom to investigate the optimization feasibility. Track structures of the mixed radiation field produced at different depths in the target volume were simulated with Geant4-DNA and nanodosimetric descriptors were calculated. The fluences of the treatment field pencil beams were optimized in order to create a mixed field with equal nanodosimetric descriptors at each of the multiple positions in spread-out particle Bragg peaks. For both proton and carbon ion plans, a uniform spatial distribution of nanodosimetric descriptors could be obtained by optimizing opposing-field but not single-field plans. The results obtained indicate that uniform nanodosimetrically weighted plans, which may also be radiobiologically uniform, can be obtained with this approach. Future investigations need to demonstrate that this approach is also feasible for more complicated beam arrangements and that it leads to biologically uniform response in tumor cells and tissues.http://dx.doi.org/10.1155/2015/908971 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Margherita Casiraghi Reinhard W. Schulte |
spellingShingle |
Margherita Casiraghi Reinhard W. Schulte Nanodosimetry-Based Plan Optimization for Particle Therapy Computational and Mathematical Methods in Medicine |
author_facet |
Margherita Casiraghi Reinhard W. Schulte |
author_sort |
Margherita Casiraghi |
title |
Nanodosimetry-Based Plan Optimization for Particle Therapy |
title_short |
Nanodosimetry-Based Plan Optimization for Particle Therapy |
title_full |
Nanodosimetry-Based Plan Optimization for Particle Therapy |
title_fullStr |
Nanodosimetry-Based Plan Optimization for Particle Therapy |
title_full_unstemmed |
Nanodosimetry-Based Plan Optimization for Particle Therapy |
title_sort |
nanodosimetry-based plan optimization for particle therapy |
publisher |
Hindawi Limited |
series |
Computational and Mathematical Methods in Medicine |
issn |
1748-670X 1748-6718 |
publishDate |
2015-01-01 |
description |
Treatment planning for particle therapy is currently an active field of research due uncertainty in how to modify physical dose in order to create a uniform biological dose response in the target. A novel treatment plan optimization strategy based on measurable nanodosimetric quantities rather than biophysical models is proposed in this work. Simplified proton and carbon treatment plans were simulated in a water phantom to investigate the optimization feasibility. Track structures of the mixed radiation field produced at different depths in the target volume were simulated with Geant4-DNA and nanodosimetric descriptors were calculated. The fluences of the treatment field pencil beams were optimized in order to create a mixed field with equal nanodosimetric descriptors at each of the multiple positions in spread-out particle Bragg peaks. For both proton and carbon ion plans, a uniform spatial distribution of nanodosimetric descriptors could be obtained by optimizing opposing-field but not single-field plans. The results obtained indicate that uniform nanodosimetrically weighted plans, which may also be radiobiologically uniform, can be obtained with this approach. Future investigations need to demonstrate that this approach is also feasible for more complicated beam arrangements and that it leads to biologically uniform response in tumor cells and tissues. |
url |
http://dx.doi.org/10.1155/2015/908971 |
work_keys_str_mv |
AT margheritacasiraghi nanodosimetrybasedplanoptimizationforparticletherapy AT reinhardwschulte nanodosimetrybasedplanoptimizationforparticletherapy |
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