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MLC parameters from static fields to VMAT plans: an evaluation in a RT-dedicated MC environment (PRIMO)

BACKGROUND: PRIMO is a graphical environment based on PENELOPE Monte Carlo (MC) simulation of radiotherapy beams able to compute dose distribution in patients, from plans with different techniques. The dosimetric characteristics of an HD-120 MLC (Varian), simulated using PRIMO, were here compared wi...

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Autores principales: Paganini, Lucia, Reggiori, Giacomo, Stravato, Antonella, Palumbo, Valentina, Mancosu, Pietro, Lobefalo, Francesca, Gaudino, Anna, Fogliata, Antonella, Scorsetti, Marta, Tomatis, Stefano
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6889207/
https://www.ncbi.nlm.nih.gov/pubmed/31791355
http://dx.doi.org/10.1186/s13014-019-1421-y
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author Paganini, Lucia
Reggiori, Giacomo
Stravato, Antonella
Palumbo, Valentina
Mancosu, Pietro
Lobefalo, Francesca
Gaudino, Anna
Fogliata, Antonella
Scorsetti, Marta
Tomatis, Stefano
author_facet Paganini, Lucia
Reggiori, Giacomo
Stravato, Antonella
Palumbo, Valentina
Mancosu, Pietro
Lobefalo, Francesca
Gaudino, Anna
Fogliata, Antonella
Scorsetti, Marta
Tomatis, Stefano
author_sort Paganini, Lucia
collection PubMed
description BACKGROUND: PRIMO is a graphical environment based on PENELOPE Monte Carlo (MC) simulation of radiotherapy beams able to compute dose distribution in patients, from plans with different techniques. The dosimetric characteristics of an HD-120 MLC (Varian), simulated using PRIMO, were here compared with measurements, and also with Acuros calculations (in the Eclipse treatment planning system, Varian). MATERIALS AND METHODS: A 10 MV FFF beam from a Varian EDGE linac equipped with the HD-120 MLC was used for this work. Initially, the linac head was simulated inside PRIMO, and validated against measurements in a water phantom. Then, a series of different MLC patterns were established to assess the MLC dosimetric characteristics. Those tests included: i) static fields: output factors from MLC shaped fields (2 × 2 to 10 × 10 cm(2)), alternate open and closed leaf pattern, MLC transmitted dose; ii) dynamic fields: dosimetric leaf gap (DLG) evaluated with sweeping gaps, tongue and groove (TG) effect assessed with profiles across alternate open and closed leaves moving across the field. The doses in the different tests were simulated in PRIMO and then compared with EBT3 film measurements in solid water phantom, as well as with Acuros calculations. Finally, MC in PRIMO and Acuros were compared in some clinical cases, summarizing the clinical complexity in view of a possible use of PRIMO as an independent dose calculation check. RESULTS: Static output factor MLC tests showed an agreement between MC calculated and measured OF of 0.5%. The dynamic tests presented DLG values of 0.033 ± 0.003 cm and 0.032 ± 0.006 cm for MC and measurements, respectively. Regarding the TG tests, a general agreement between the dose distributions of 1–2% was achieved, except for the extreme patterns (very small gaps/field sizes and high TG effect) were the agreement was about 4–5%. The analysis of the clinical cases, the Gamma agreement between MC in PRIMO and Acuros dose calculation in Eclipse was of 99.5 ± 0.2% for 3%/2 mm criteria of dose difference/distance to agreement. CONCLUSIONS: MC simulations in the PRIMO environment were in agreement with measurements for the HD-120 MLC in a 10 MV FFF beam from a Varian EDGE linac. This result allowed to consistently compare clinical cases, showing the possible use of PRIMO as an independent dose calculation check tool.
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spelling pubmed-68892072019-12-11 MLC parameters from static fields to VMAT plans: an evaluation in a RT-dedicated MC environment (PRIMO) Paganini, Lucia Reggiori, Giacomo Stravato, Antonella Palumbo, Valentina Mancosu, Pietro Lobefalo, Francesca Gaudino, Anna Fogliata, Antonella Scorsetti, Marta Tomatis, Stefano Radiat Oncol Research BACKGROUND: PRIMO is a graphical environment based on PENELOPE Monte Carlo (MC) simulation of radiotherapy beams able to compute dose distribution in patients, from plans with different techniques. The dosimetric characteristics of an HD-120 MLC (Varian), simulated using PRIMO, were here compared with measurements, and also with Acuros calculations (in the Eclipse treatment planning system, Varian). MATERIALS AND METHODS: A 10 MV FFF beam from a Varian EDGE linac equipped with the HD-120 MLC was used for this work. Initially, the linac head was simulated inside PRIMO, and validated against measurements in a water phantom. Then, a series of different MLC patterns were established to assess the MLC dosimetric characteristics. Those tests included: i) static fields: output factors from MLC shaped fields (2 × 2 to 10 × 10 cm(2)), alternate open and closed leaf pattern, MLC transmitted dose; ii) dynamic fields: dosimetric leaf gap (DLG) evaluated with sweeping gaps, tongue and groove (TG) effect assessed with profiles across alternate open and closed leaves moving across the field. The doses in the different tests were simulated in PRIMO and then compared with EBT3 film measurements in solid water phantom, as well as with Acuros calculations. Finally, MC in PRIMO and Acuros were compared in some clinical cases, summarizing the clinical complexity in view of a possible use of PRIMO as an independent dose calculation check. RESULTS: Static output factor MLC tests showed an agreement between MC calculated and measured OF of 0.5%. The dynamic tests presented DLG values of 0.033 ± 0.003 cm and 0.032 ± 0.006 cm for MC and measurements, respectively. Regarding the TG tests, a general agreement between the dose distributions of 1–2% was achieved, except for the extreme patterns (very small gaps/field sizes and high TG effect) were the agreement was about 4–5%. The analysis of the clinical cases, the Gamma agreement between MC in PRIMO and Acuros dose calculation in Eclipse was of 99.5 ± 0.2% for 3%/2 mm criteria of dose difference/distance to agreement. CONCLUSIONS: MC simulations in the PRIMO environment were in agreement with measurements for the HD-120 MLC in a 10 MV FFF beam from a Varian EDGE linac. This result allowed to consistently compare clinical cases, showing the possible use of PRIMO as an independent dose calculation check tool. BioMed Central 2019-12-02 /pmc/articles/PMC6889207/ /pubmed/31791355 http://dx.doi.org/10.1186/s13014-019-1421-y Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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.
spellingShingle Research
Paganini, Lucia
Reggiori, Giacomo
Stravato, Antonella
Palumbo, Valentina
Mancosu, Pietro
Lobefalo, Francesca
Gaudino, Anna
Fogliata, Antonella
Scorsetti, Marta
Tomatis, Stefano
MLC parameters from static fields to VMAT plans: an evaluation in a RT-dedicated MC environment (PRIMO)
title MLC parameters from static fields to VMAT plans: an evaluation in a RT-dedicated MC environment (PRIMO)
title_full MLC parameters from static fields to VMAT plans: an evaluation in a RT-dedicated MC environment (PRIMO)
title_fullStr MLC parameters from static fields to VMAT plans: an evaluation in a RT-dedicated MC environment (PRIMO)
title_full_unstemmed MLC parameters from static fields to VMAT plans: an evaluation in a RT-dedicated MC environment (PRIMO)
title_short MLC parameters from static fields to VMAT plans: an evaluation in a RT-dedicated MC environment (PRIMO)
title_sort mlc parameters from static fields to vmat plans: an evaluation in a rt-dedicated mc environment (primo)
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6889207/
https://www.ncbi.nlm.nih.gov/pubmed/31791355
http://dx.doi.org/10.1186/s13014-019-1421-y
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