Precise dosimetric comparison between GAMOS and the collapsed cone convolution algorithm of 4D DOSE accumulated in lung SBRT treatments

Background: It is widely accepted that Monte Carlo dose calculations offers a higher precision that the commercially available dose calculation algorithms. This advantage may be especially relevant for lung Stereotactic Body Radiation Therapy (SBRT), as this is a precise technique applied to an area...

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Autores: Arce, P. (Pedro)|||/items/125c1b95-7541-497d-9384-eacfb46c35e7, Lagares, J.I. (Juan Ignacio)|||/items/d248ca92-a659-4a43-b9ac-2082420cb7d0, Azcona-Armendariz, J.D. (Juan Diego)|||/items/73c0b191-ef8c-4c05-8917-5e092b523700, Huesa-Berral, C. (Carlos)|||/items/d2c35b31-4cf0-437c-aeff-d47b8a0f6fb6, Burguete-Mas, F.J. (Francisco Javier)|||/items/408b1397-b3d1-4939-a7f3-e673d3a80721
Tipo de recurso: artículo
Fecha de publicación:2023
País:España
Institución:Universidad de Navarra
Repositorio:Dadun. Depósito Académico Digital de la Universidad de Navarra
Idioma:inglés
OAI Identifier:oai:dadun.unav.edu:10171/68067
Acceso en línea:https://hdl.handle.net/10171/68067
Access Level:acceso abierto
Palabra clave:SBRT
Monte Carlo
Geant4
GAMOS
Collapsed cone convolution
Deformable image registration
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spelling Precise dosimetric comparison between GAMOS and the collapsed cone convolution algorithm of 4D DOSE accumulated in lung SBRT treatmentsArce, P. (Pedro)|||/items/125c1b95-7541-497d-9384-eacfb46c35e7Lagares, J.I. (Juan Ignacio)|||/items/d248ca92-a659-4a43-b9ac-2082420cb7d0Azcona-Armendariz, J.D. (Juan Diego)|||/items/73c0b191-ef8c-4c05-8917-5e092b523700Huesa-Berral, C. (Carlos)|||/items/d2c35b31-4cf0-437c-aeff-d47b8a0f6fb6Burguete-Mas, F.J. (Francisco Javier)|||/items/408b1397-b3d1-4939-a7f3-e673d3a80721SBRTMonte CarloGeant4GAMOSCollapsed cone convolutionDeformable image registrationBackground: It is widely accepted that Monte Carlo dose calculations offers a higher precision that the commercially available dose calculation algorithms. This advantage may be especially relevant for lung Stereotactic Body Radiation Therapy (SBRT), as this is a precise technique applied to an area of big inhomogeneity. Purpose: We conducted a comparative study to reveal the differences between the doses calculated using the Collapsed Cone Convolution algorithm and the GAMOS/Geant4 Monte Carlo calculation for lung cancer patients treated with Stereotactic Body Radiation Therapy on an Elekta Versa HD linac. Methods: For this study a set of ten patient treatments carried out at the Clínica Universidad de Navarra was selected. Theanalysis is based on the comparison of several dosimetric quantities for the Gross Tumor Volume (GTV) and several OrgansAt Risk (OARs), and also a gamma index calculation with distance-to-agreement set to 2 mm and dose difference to 3%, as recommended by ICRU to assess clinical impact. In order to guarantee a small uncertainty in the Monte Carlo calculation of the dosimetric quantities, we studied in detail the validity of different methods that may be used to determine this uncertainty. To compensate for lung movements, a 4D-Cone-beam Computed Tomography (CBCT) was acquired before treatment, whichallowed us to identify eight respiratory phases using a temporal binning. Using commercial MIM software®, we performed a deformable image registration between the eight CT respiration phases to construct the 4D doses. The same procedure was applied for the Treatment Planning System (TPS) dose files and for the Monte Carlo dose files. Results: The differences between the two algorithms reveal the known weaknesses of the Collapsed Cone Convolution (CCC) algorithm for the calculation of lateral doses and in regions of large density change. The comparison between the two algorithms for individual phase doses shows differences up to 5% of the GTV D95 or 3–4 Gy in some OARs, which may have a clinical impact. Nevertheless these differences are reduced for the 4D dose in most quantities under study. Conclusions: Comparing the dose calculated with a Collapsed Cone Convolution algorithm with GAMOS/Geant4 for ten patients and eight respiratory phases, we found some differences that could have a clinical impact. When combining the eight temporal phases into a 4D dose using the MIM Deformable Image Registration software, the differences diminished substantially. Our statistical analysis concludes that dose uncertainty in the voxels with a maximum dose below a given percentage guarantees uncertainty in the dosimetric quantities below that figure.ElsevierDadun. Depósito Académico Digital Universidad de Navarra20232023-12-1520232023-01-0120232023-01-01journal articlehttp://purl.org/coar/resource_type/c_6501info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/10171/68067reponame:Dadun. Depósito Académico Digital de la Universidad de Navarrainstname:Universidad de NavarraInglésengopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:dadun.unav.edu:10171/680672026-06-21T12:47:57Z
dc.title.none.fl_str_mv Precise dosimetric comparison between GAMOS and the collapsed cone convolution algorithm of 4D DOSE accumulated in lung SBRT treatments
title Precise dosimetric comparison between GAMOS and the collapsed cone convolution algorithm of 4D DOSE accumulated in lung SBRT treatments
spellingShingle Precise dosimetric comparison between GAMOS and the collapsed cone convolution algorithm of 4D DOSE accumulated in lung SBRT treatments
Arce, P. (Pedro)|||/items/125c1b95-7541-497d-9384-eacfb46c35e7
SBRT
Monte Carlo
Geant4
GAMOS
Collapsed cone convolution
Deformable image registration
title_short Precise dosimetric comparison between GAMOS and the collapsed cone convolution algorithm of 4D DOSE accumulated in lung SBRT treatments
title_full Precise dosimetric comparison between GAMOS and the collapsed cone convolution algorithm of 4D DOSE accumulated in lung SBRT treatments
title_fullStr Precise dosimetric comparison between GAMOS and the collapsed cone convolution algorithm of 4D DOSE accumulated in lung SBRT treatments
title_full_unstemmed Precise dosimetric comparison between GAMOS and the collapsed cone convolution algorithm of 4D DOSE accumulated in lung SBRT treatments
title_sort Precise dosimetric comparison between GAMOS and the collapsed cone convolution algorithm of 4D DOSE accumulated in lung SBRT treatments
dc.creator.none.fl_str_mv Arce, P. (Pedro)|||/items/125c1b95-7541-497d-9384-eacfb46c35e7
Lagares, J.I. (Juan Ignacio)|||/items/d248ca92-a659-4a43-b9ac-2082420cb7d0
Azcona-Armendariz, J.D. (Juan Diego)|||/items/73c0b191-ef8c-4c05-8917-5e092b523700
Huesa-Berral, C. (Carlos)|||/items/d2c35b31-4cf0-437c-aeff-d47b8a0f6fb6
Burguete-Mas, F.J. (Francisco Javier)|||/items/408b1397-b3d1-4939-a7f3-e673d3a80721
author Arce, P. (Pedro)|||/items/125c1b95-7541-497d-9384-eacfb46c35e7
author_facet Arce, P. (Pedro)|||/items/125c1b95-7541-497d-9384-eacfb46c35e7
Lagares, J.I. (Juan Ignacio)|||/items/d248ca92-a659-4a43-b9ac-2082420cb7d0
Azcona-Armendariz, J.D. (Juan Diego)|||/items/73c0b191-ef8c-4c05-8917-5e092b523700
Huesa-Berral, C. (Carlos)|||/items/d2c35b31-4cf0-437c-aeff-d47b8a0f6fb6
Burguete-Mas, F.J. (Francisco Javier)|||/items/408b1397-b3d1-4939-a7f3-e673d3a80721
author_role author
author2 Lagares, J.I. (Juan Ignacio)|||/items/d248ca92-a659-4a43-b9ac-2082420cb7d0
Azcona-Armendariz, J.D. (Juan Diego)|||/items/73c0b191-ef8c-4c05-8917-5e092b523700
Huesa-Berral, C. (Carlos)|||/items/d2c35b31-4cf0-437c-aeff-d47b8a0f6fb6
Burguete-Mas, F.J. (Francisco Javier)|||/items/408b1397-b3d1-4939-a7f3-e673d3a80721
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Dadun. Depósito Académico Digital Universidad de Navarra
dc.subject.none.fl_str_mv SBRT
Monte Carlo
Geant4
GAMOS
Collapsed cone convolution
Deformable image registration
topic SBRT
Monte Carlo
Geant4
GAMOS
Collapsed cone convolution
Deformable image registration
description Background: It is widely accepted that Monte Carlo dose calculations offers a higher precision that the commercially available dose calculation algorithms. This advantage may be especially relevant for lung Stereotactic Body Radiation Therapy (SBRT), as this is a precise technique applied to an area of big inhomogeneity. Purpose: We conducted a comparative study to reveal the differences between the doses calculated using the Collapsed Cone Convolution algorithm and the GAMOS/Geant4 Monte Carlo calculation for lung cancer patients treated with Stereotactic Body Radiation Therapy on an Elekta Versa HD linac. Methods: For this study a set of ten patient treatments carried out at the Clínica Universidad de Navarra was selected. Theanalysis is based on the comparison of several dosimetric quantities for the Gross Tumor Volume (GTV) and several OrgansAt Risk (OARs), and also a gamma index calculation with distance-to-agreement set to 2 mm and dose difference to 3%, as recommended by ICRU to assess clinical impact. In order to guarantee a small uncertainty in the Monte Carlo calculation of the dosimetric quantities, we studied in detail the validity of different methods that may be used to determine this uncertainty. To compensate for lung movements, a 4D-Cone-beam Computed Tomography (CBCT) was acquired before treatment, whichallowed us to identify eight respiratory phases using a temporal binning. Using commercial MIM software®, we performed a deformable image registration between the eight CT respiration phases to construct the 4D doses. The same procedure was applied for the Treatment Planning System (TPS) dose files and for the Monte Carlo dose files. Results: The differences between the two algorithms reveal the known weaknesses of the Collapsed Cone Convolution (CCC) algorithm for the calculation of lateral doses and in regions of large density change. The comparison between the two algorithms for individual phase doses shows differences up to 5% of the GTV D95 or 3–4 Gy in some OARs, which may have a clinical impact. Nevertheless these differences are reduced for the 4D dose in most quantities under study. Conclusions: Comparing the dose calculated with a Collapsed Cone Convolution algorithm with GAMOS/Geant4 for ten patients and eight respiratory phases, we found some differences that could have a clinical impact. When combining the eight temporal phases into a 4D dose using the MIM Deformable Image Registration software, the differences diminished substantially. Our statistical analysis concludes that dose uncertainty in the voxels with a maximum dose below a given percentage guarantees uncertainty in the dosimetric quantities below that figure.
publishDate 2023
dc.date.none.fl_str_mv 2023
2023-12-15
2023
2023-01-01
2023
2023-01-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/10171/68067
url https://hdl.handle.net/10171/68067
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Dadun. Depósito Académico Digital de la Universidad de Navarra
instname:Universidad de Navarra
instname_str Universidad de Navarra
reponame_str Dadun. Depósito Académico Digital de la Universidad de Navarra
collection Dadun. Depósito Académico Digital de la Universidad de Navarra
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