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The impact of mass density variations on an electron Monte Carlo algorithm for radiotherapy dose calculations

BACKGROUND AND PURPOSE: A key step in electron Monte Carlo dose calculation requires converting Computed Tomography (CT) numbers from a tomographic acquisition to a mass density. This study investigates the dosimetric consequences of perturbations applied to a calibration table between CT number and...

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Autores principales: Fang, Raymond, Mazur, Thomas, Mutic, Sasa, Khan, Rao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7807677/
https://www.ncbi.nlm.nih.gov/pubmed/33458409
http://dx.doi.org/10.1016/j.phro.2018.10.002
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author Fang, Raymond
Mazur, Thomas
Mutic, Sasa
Khan, Rao
author_facet Fang, Raymond
Mazur, Thomas
Mutic, Sasa
Khan, Rao
author_sort Fang, Raymond
collection PubMed
description BACKGROUND AND PURPOSE: A key step in electron Monte Carlo dose calculation requires converting Computed Tomography (CT) numbers from a tomographic acquisition to a mass density. This study investigates the dosimetric consequences of perturbations applied to a calibration table between CT number and mass density. MATERIALS AND METHODS: A literature search was performed to define lower and upper bounds for physically reasonable perturbations to a reference CT number to mass density calibration table. Electron beam dose was calculated for ten patients using these variations and the results were compared to clinical plans originally derived with a reference calibration table. Dose differences both globally and in the Planning Target Volume (PTV) were assessed using dose- and volume-based metrics and 3- dimensional gamma analysis for each patient. RESULTS: Small but statistically significant differences were observed between perturbations and reference data for certain metrics including volume of the 50% prescription isodose. Upper and lower variations in CT number to mass density calibration yielded mean values of V50% that were 4.4% larger and 2.1% smaller than reference values respectively. Gamma analysis using 3%/3mm criteria indicated >99% passing rate for the PTV for all patients. Global gamma analysis for some patients showed larger discrepancies possibly due to large electron path lengths through inhomogeneities. CONCLUSIONS: In most patients, physically reasonable perturbations in CT number to mass density curves will not induce clinically significant impact on calculated target dose distributions. Strong dependence of electron transport on voxel material may produce dose speckle throughout the volume. Care should be taken in evaluating critical structures at depths beyond the target volume in highly heterogeneous regions.
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spelling pubmed-78076772021-01-14 The impact of mass density variations on an electron Monte Carlo algorithm for radiotherapy dose calculations Fang, Raymond Mazur, Thomas Mutic, Sasa Khan, Rao Phys Imaging Radiat Oncol Original Research Article BACKGROUND AND PURPOSE: A key step in electron Monte Carlo dose calculation requires converting Computed Tomography (CT) numbers from a tomographic acquisition to a mass density. This study investigates the dosimetric consequences of perturbations applied to a calibration table between CT number and mass density. MATERIALS AND METHODS: A literature search was performed to define lower and upper bounds for physically reasonable perturbations to a reference CT number to mass density calibration table. Electron beam dose was calculated for ten patients using these variations and the results were compared to clinical plans originally derived with a reference calibration table. Dose differences both globally and in the Planning Target Volume (PTV) were assessed using dose- and volume-based metrics and 3- dimensional gamma analysis for each patient. RESULTS: Small but statistically significant differences were observed between perturbations and reference data for certain metrics including volume of the 50% prescription isodose. Upper and lower variations in CT number to mass density calibration yielded mean values of V50% that were 4.4% larger and 2.1% smaller than reference values respectively. Gamma analysis using 3%/3mm criteria indicated >99% passing rate for the PTV for all patients. Global gamma analysis for some patients showed larger discrepancies possibly due to large electron path lengths through inhomogeneities. CONCLUSIONS: In most patients, physically reasonable perturbations in CT number to mass density curves will not induce clinically significant impact on calculated target dose distributions. Strong dependence of electron transport on voxel material may produce dose speckle throughout the volume. Care should be taken in evaluating critical structures at depths beyond the target volume in highly heterogeneous regions. Elsevier 2018-11-02 /pmc/articles/PMC7807677/ /pubmed/33458409 http://dx.doi.org/10.1016/j.phro.2018.10.002 Text en © 2018 The Author http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Original Research Article
Fang, Raymond
Mazur, Thomas
Mutic, Sasa
Khan, Rao
The impact of mass density variations on an electron Monte Carlo algorithm for radiotherapy dose calculations
title The impact of mass density variations on an electron Monte Carlo algorithm for radiotherapy dose calculations
title_full The impact of mass density variations on an electron Monte Carlo algorithm for radiotherapy dose calculations
title_fullStr The impact of mass density variations on an electron Monte Carlo algorithm for radiotherapy dose calculations
title_full_unstemmed The impact of mass density variations on an electron Monte Carlo algorithm for radiotherapy dose calculations
title_short The impact of mass density variations on an electron Monte Carlo algorithm for radiotherapy dose calculations
title_sort impact of mass density variations on an electron monte carlo algorithm for radiotherapy dose calculations
topic Original Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7807677/
https://www.ncbi.nlm.nih.gov/pubmed/33458409
http://dx.doi.org/10.1016/j.phro.2018.10.002
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