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The impact of scanning data measurements on the Acuros dose calculation algorithm configuration

BACKGROUND: Many dose calculation algorithms for radiotherapy planning need to be configured for each clinical beam using pre-defined measurements. An optimization process adjusts the physical parameters able to estimate the energy released in the medium in any geometrical condition. This work inves...

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Autores principales: Fogliata, A., Esposito, E., Paganini, L., Reggiori, G., Tomatis, S., Scorsetti, M., Cozzi, L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7350585/
https://www.ncbi.nlm.nih.gov/pubmed/32650815
http://dx.doi.org/10.1186/s13014-020-01610-7
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author Fogliata, A.
Esposito, E.
Paganini, L.
Reggiori, G.
Tomatis, S.
Scorsetti, M.
Cozzi, L.
author_facet Fogliata, A.
Esposito, E.
Paganini, L.
Reggiori, G.
Tomatis, S.
Scorsetti, M.
Cozzi, L.
author_sort Fogliata, A.
collection PubMed
description BACKGROUND: Many dose calculation algorithms for radiotherapy planning need to be configured for each clinical beam using pre-defined measurements. An optimization process adjusts the physical parameters able to estimate the energy released in the medium in any geometrical condition. This work investigates the impact of measured input data quality on the configuration of the type “c” Acuros-XB dose calculation algorithm in the Eclipse (Varian Medical Systems) treatment planning system. METHODS: Different datasets were acquired with the BeamScan water phantom (PTW) to configure 6 MV beams, for both flattened (6X) and flattening filter free mode (6FFF) for a Varian TrueBeam: (i) a correct dataset measured using a Semiflex-3D ion chamber, (ii) a set in missing lateral scatter conditions (MLS), (iii) a set with incorrect effective point of measurement (EPoM), (iv) sets acquired with PinPoint-3D chamber, DiodeP, microDiamond detectors. The Acuros-XB dose calculation algorithm (version 15.6) was configured using the reference dataset, the sets measured with the different detectors, with intentional errors, and using the representative beam data (RBD) made available by the vendor. The physical parameters obtained from each optimization process (spectrum, mean radial energy, electron contamination), were analyzed and compared. Calculated data were finally compared against the input and reference measurements. RESULTS: Concerning the physical parameters, the configurations presenting the largest differences were the MLS conditions (mean radial energy) and the incorrect EPoM (electron contamination). The calculation doses relative to the input data present low accuracy, with mean differences > 2% in some conditions. The PinPoint-3D ion chamber presented lower accuracy for the 6FFF beam. Regarding the RBD, calculations compared well with the input data used for the configuration, but not with the reference data. CONCLUSION: The MLS conditions and the incorrect setting of the EPoM lead to erroneous configurations and should be avoided. The choice of an appropriate detector is important. Whenever the representative beam data is used, a careful check under more clinical geometrical conditions is advised.
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spelling pubmed-73505852020-07-14 The impact of scanning data measurements on the Acuros dose calculation algorithm configuration Fogliata, A. Esposito, E. Paganini, L. Reggiori, G. Tomatis, S. Scorsetti, M. Cozzi, L. Radiat Oncol Research BACKGROUND: Many dose calculation algorithms for radiotherapy planning need to be configured for each clinical beam using pre-defined measurements. An optimization process adjusts the physical parameters able to estimate the energy released in the medium in any geometrical condition. This work investigates the impact of measured input data quality on the configuration of the type “c” Acuros-XB dose calculation algorithm in the Eclipse (Varian Medical Systems) treatment planning system. METHODS: Different datasets were acquired with the BeamScan water phantom (PTW) to configure 6 MV beams, for both flattened (6X) and flattening filter free mode (6FFF) for a Varian TrueBeam: (i) a correct dataset measured using a Semiflex-3D ion chamber, (ii) a set in missing lateral scatter conditions (MLS), (iii) a set with incorrect effective point of measurement (EPoM), (iv) sets acquired with PinPoint-3D chamber, DiodeP, microDiamond detectors. The Acuros-XB dose calculation algorithm (version 15.6) was configured using the reference dataset, the sets measured with the different detectors, with intentional errors, and using the representative beam data (RBD) made available by the vendor. The physical parameters obtained from each optimization process (spectrum, mean radial energy, electron contamination), were analyzed and compared. Calculated data were finally compared against the input and reference measurements. RESULTS: Concerning the physical parameters, the configurations presenting the largest differences were the MLS conditions (mean radial energy) and the incorrect EPoM (electron contamination). The calculation doses relative to the input data present low accuracy, with mean differences > 2% in some conditions. The PinPoint-3D ion chamber presented lower accuracy for the 6FFF beam. Regarding the RBD, calculations compared well with the input data used for the configuration, but not with the reference data. CONCLUSION: The MLS conditions and the incorrect setting of the EPoM lead to erroneous configurations and should be avoided. The choice of an appropriate detector is important. Whenever the representative beam data is used, a careful check under more clinical geometrical conditions is advised. BioMed Central 2020-07-10 /pmc/articles/PMC7350585/ /pubmed/32650815 http://dx.doi.org/10.1186/s13014-020-01610-7 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Fogliata, A.
Esposito, E.
Paganini, L.
Reggiori, G.
Tomatis, S.
Scorsetti, M.
Cozzi, L.
The impact of scanning data measurements on the Acuros dose calculation algorithm configuration
title The impact of scanning data measurements on the Acuros dose calculation algorithm configuration
title_full The impact of scanning data measurements on the Acuros dose calculation algorithm configuration
title_fullStr The impact of scanning data measurements on the Acuros dose calculation algorithm configuration
title_full_unstemmed The impact of scanning data measurements on the Acuros dose calculation algorithm configuration
title_short The impact of scanning data measurements on the Acuros dose calculation algorithm configuration
title_sort impact of scanning data measurements on the acuros dose calculation algorithm configuration
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7350585/
https://www.ncbi.nlm.nih.gov/pubmed/32650815
http://dx.doi.org/10.1186/s13014-020-01610-7
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