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Monte Carlo calculation based on hydrogen composition of the tissue for MV photon radiotherapy
The purpose of this study was to demonstrate that Monte Carlo treatment planning systems require tissue characterization (density and composition) as a function of CT number. A discrete set of tissue classes with a specific composition is introduced. In the current work we demonstrate that, for mega...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5690166/ https://www.ncbi.nlm.nih.gov/pubmed/26699320 http://dx.doi.org/10.1120/jacmp.v16i5.5586 |
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author | Demol, Benjamin Viard, Romain Reynaert, Nick |
author_facet | Demol, Benjamin Viard, Romain Reynaert, Nick |
author_sort | Demol, Benjamin |
collection | PubMed |
description | The purpose of this study was to demonstrate that Monte Carlo treatment planning systems require tissue characterization (density and composition) as a function of CT number. A discrete set of tissue classes with a specific composition is introduced. In the current work we demonstrate that, for megavoltage photon radiotherapy, only the hydrogen content of the different tissues is of interest. This conclusion might have an impact on MRI‐based dose calculations and on MVCT calibration using tissue substitutes. A stoichiometric calibration was performed, grouping tissues with similar atomic composition into 15 dosimetrically equivalent subsets. To demonstrate the importance of hydrogen, a new scheme was derived, with correct hydrogen content, complemented by oxygen (all elements differing from hydrogen are replaced by oxygen). Mass attenuation coefficients and mass stopping powers for this scheme were calculated and compared to the original scheme. Twenty‐five CyberKnife treatment plans were recalculated by an in‐house developed Monte Carlo system using tissue density and hydrogen content derived from the CT images. The results were compared to Monte Carlo simulations using the original stoichiometric calibration. Between 300 keV and 3 MeV, the relative difference of mass attenuation coefficients is under 1% within all subsets. Between 10 keV and 20 MeV, the relative difference of mass stopping powers goes up to 5% in hard bone and remains below 2% for all other tissue subsets. Dose‐volume histograms (DVHs) of the treatment plans present no visual difference between the two schemes. Relative differences of dose indexes [Formula: see text] , and [Formula: see text] were analyzed and a distribution centered around zero and of standard deviation below 2% ([Formula: see text]) was established. On the other hand, once the hydrogen content is slightly modified, important dose differences are obtained. Monte Carlo dose planning in the field of megavoltage photon radiotherapy is fully achievable using only hydrogen content of tissues, a conclusion that might impact MRI dose calculation, but can also help selecting the optimal tissue substitutes when calibrating MVCT devices. PACS numbers: 87.55.D‐, 87.55.dk, 87.55.K‐, 87.57.Q‐ |
format | Online Article Text |
id | pubmed-5690166 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-56901662018-04-02 Monte Carlo calculation based on hydrogen composition of the tissue for MV photon radiotherapy Demol, Benjamin Viard, Romain Reynaert, Nick J Appl Clin Med Phys Radiation Oncology Physics The purpose of this study was to demonstrate that Monte Carlo treatment planning systems require tissue characterization (density and composition) as a function of CT number. A discrete set of tissue classes with a specific composition is introduced. In the current work we demonstrate that, for megavoltage photon radiotherapy, only the hydrogen content of the different tissues is of interest. This conclusion might have an impact on MRI‐based dose calculations and on MVCT calibration using tissue substitutes. A stoichiometric calibration was performed, grouping tissues with similar atomic composition into 15 dosimetrically equivalent subsets. To demonstrate the importance of hydrogen, a new scheme was derived, with correct hydrogen content, complemented by oxygen (all elements differing from hydrogen are replaced by oxygen). Mass attenuation coefficients and mass stopping powers for this scheme were calculated and compared to the original scheme. Twenty‐five CyberKnife treatment plans were recalculated by an in‐house developed Monte Carlo system using tissue density and hydrogen content derived from the CT images. The results were compared to Monte Carlo simulations using the original stoichiometric calibration. Between 300 keV and 3 MeV, the relative difference of mass attenuation coefficients is under 1% within all subsets. Between 10 keV and 20 MeV, the relative difference of mass stopping powers goes up to 5% in hard bone and remains below 2% for all other tissue subsets. Dose‐volume histograms (DVHs) of the treatment plans present no visual difference between the two schemes. Relative differences of dose indexes [Formula: see text] , and [Formula: see text] were analyzed and a distribution centered around zero and of standard deviation below 2% ([Formula: see text]) was established. On the other hand, once the hydrogen content is slightly modified, important dose differences are obtained. Monte Carlo dose planning in the field of megavoltage photon radiotherapy is fully achievable using only hydrogen content of tissues, a conclusion that might impact MRI dose calculation, but can also help selecting the optimal tissue substitutes when calibrating MVCT devices. PACS numbers: 87.55.D‐, 87.55.dk, 87.55.K‐, 87.57.Q‐ John Wiley and Sons Inc. 2015-09-08 /pmc/articles/PMC5690166/ /pubmed/26699320 http://dx.doi.org/10.1120/jacmp.v16i5.5586 Text en © 2015 The Authors. This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/3.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Radiation Oncology Physics Demol, Benjamin Viard, Romain Reynaert, Nick Monte Carlo calculation based on hydrogen composition of the tissue for MV photon radiotherapy |
title | Monte Carlo calculation based on hydrogen composition of the tissue for MV photon radiotherapy |
title_full | Monte Carlo calculation based on hydrogen composition of the tissue for MV photon radiotherapy |
title_fullStr | Monte Carlo calculation based on hydrogen composition of the tissue for MV photon radiotherapy |
title_full_unstemmed | Monte Carlo calculation based on hydrogen composition of the tissue for MV photon radiotherapy |
title_short | Monte Carlo calculation based on hydrogen composition of the tissue for MV photon radiotherapy |
title_sort | monte carlo calculation based on hydrogen composition of the tissue for mv photon radiotherapy |
topic | Radiation Oncology Physics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5690166/ https://www.ncbi.nlm.nih.gov/pubmed/26699320 http://dx.doi.org/10.1120/jacmp.v16i5.5586 |
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