Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Demol, Benjamin, Viard, Romain, Reynaert, Nick
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2015
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
_version_ 1783279545960366080
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
work_keys_str_mv AT demolbenjamin montecarlocalculationbasedonhydrogencompositionofthetissueformvphotonradiotherapy
AT viardromain montecarlocalculationbasedonhydrogencompositionofthetissueformvphotonradiotherapy
AT reynaertnick montecarlocalculationbasedonhydrogencompositionofthetissueformvphotonradiotherapy