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First steps towards a fast-neutron therapy planning program
BACKGROUND: The Monte Carlo code GEANT4 was used to implement first steps towards a treatment planning program for fast-neutron therapy at the FRM II research reactor in Garching, Germany. Depth dose curves were calculated inside a water phantom using measured primary neutron and simulated primary p...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3261826/ https://www.ncbi.nlm.nih.gov/pubmed/22118299 http://dx.doi.org/10.1186/1748-717X-6-163 |
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author | Garny, Sylvia Rühm, Werner Zankl, Maria Wagner, Franz M Paretzke, Herwig G |
author_facet | Garny, Sylvia Rühm, Werner Zankl, Maria Wagner, Franz M Paretzke, Herwig G |
author_sort | Garny, Sylvia |
collection | PubMed |
description | BACKGROUND: The Monte Carlo code GEANT4 was used to implement first steps towards a treatment planning program for fast-neutron therapy at the FRM II research reactor in Garching, Germany. Depth dose curves were calculated inside a water phantom using measured primary neutron and simulated primary photon spectra and compared with depth dose curves measured earlier. The calculations were performed with GEANT4 in two different ways, simulating a simple box geometry and splitting this box into millions of small voxels (this was done to validate the voxelisation procedure that was also used to voxelise the human body). RESULTS: In both cases, the dose distributions were very similar to those measured in the water phantom, up to a depth of 30 cm. In order to model the situation of patients treated at the FRM II MEDAPP therapy beamline for salivary gland tumors, a human voxel phantom was implemented in GEANT4 and irradiated with the implemented MEDAPP neutron and photon spectra. The 3D dose distribution calculated inside the head of the phantom was similar to the depth dose curves in the water phantom, with some differences that are explained by differences in elementary composition. The lateral dose distribution was studied at various depths. The calculated cumulative dose volume histograms for the voxel phantom show the exposure of organs at risk surrounding the tumor. CONCLUSIONS: In order to minimize the dose to healthy tissue, a conformal treatment is necessary. This can only be accomplished with the help of an advanced treatment planning system like the one developed here. Although all calculations were done for absorbed dose only, any biological dose weighting can be implemented easily, to take into account the increased radiobiological effectiveness of neutrons compared to photons. |
format | Online Article Text |
id | pubmed-3261826 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-32618262012-01-20 First steps towards a fast-neutron therapy planning program Garny, Sylvia Rühm, Werner Zankl, Maria Wagner, Franz M Paretzke, Herwig G Radiat Oncol Research BACKGROUND: The Monte Carlo code GEANT4 was used to implement first steps towards a treatment planning program for fast-neutron therapy at the FRM II research reactor in Garching, Germany. Depth dose curves were calculated inside a water phantom using measured primary neutron and simulated primary photon spectra and compared with depth dose curves measured earlier. The calculations were performed with GEANT4 in two different ways, simulating a simple box geometry and splitting this box into millions of small voxels (this was done to validate the voxelisation procedure that was also used to voxelise the human body). RESULTS: In both cases, the dose distributions were very similar to those measured in the water phantom, up to a depth of 30 cm. In order to model the situation of patients treated at the FRM II MEDAPP therapy beamline for salivary gland tumors, a human voxel phantom was implemented in GEANT4 and irradiated with the implemented MEDAPP neutron and photon spectra. The 3D dose distribution calculated inside the head of the phantom was similar to the depth dose curves in the water phantom, with some differences that are explained by differences in elementary composition. The lateral dose distribution was studied at various depths. The calculated cumulative dose volume histograms for the voxel phantom show the exposure of organs at risk surrounding the tumor. CONCLUSIONS: In order to minimize the dose to healthy tissue, a conformal treatment is necessary. This can only be accomplished with the help of an advanced treatment planning system like the one developed here. Although all calculations were done for absorbed dose only, any biological dose weighting can be implemented easily, to take into account the increased radiobiological effectiveness of neutrons compared to photons. BioMed Central 2011-11-25 /pmc/articles/PMC3261826/ /pubmed/22118299 http://dx.doi.org/10.1186/1748-717X-6-163 Text en Copyright ©2011 Garny et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Garny, Sylvia Rühm, Werner Zankl, Maria Wagner, Franz M Paretzke, Herwig G First steps towards a fast-neutron therapy planning program |
title | First steps towards a fast-neutron therapy planning program |
title_full | First steps towards a fast-neutron therapy planning program |
title_fullStr | First steps towards a fast-neutron therapy planning program |
title_full_unstemmed | First steps towards a fast-neutron therapy planning program |
title_short | First steps towards a fast-neutron therapy planning program |
title_sort | first steps towards a fast-neutron therapy planning program |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3261826/ https://www.ncbi.nlm.nih.gov/pubmed/22118299 http://dx.doi.org/10.1186/1748-717X-6-163 |
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