Neutron measurements in radiotherapy: A method to correct neutron sensitive devices for parasitic photon response

Irazola, L.; Terrón, J.A.; Bedogni, R.; Pola, A.; Lorenzoli, M.; Jiménez-Ortega, Elisa; Barbeiro, A.R.; Sánchez‐Nieto, B.; Sánchez‐Doblado, F.

doi:10.1016/j.apradiso.2016.12.060

Cited by 3 publications

(2 citation statements)

References 21 publications

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“…2, so a direct comparison is not possible. However, our results are very similar to other published results based on similar conditions 20 . According to the mean energy dependence with distance to the axis, the energy corrections applied to the TLDs were of <3%, in agreement with Kry et al 30 …”

Section: Discussionsupporting

confidence: 93%

“…Average energy of a 6 MV photon beam of an Elekta Axesse linac at 5 cm depth in water as a function of the distance to the central axis for a 10 × 10 cm 2 field. The increase of the energy at the farthest point has also been described in other works, 20,21 and it can be explained by the increase of head leakage and collimator scatter. 22 An SSD = 95 cm setup was simulated.…”

Section: A Algorithms' Performancesupporting

confidence: 75%

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Study of out‐of‐field dose in photon radiotherapy: A commercial treatment planning system versus measurements and Monte Carlo simulations

et al. 2020

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Purpose: An accurate assessment of out-of-field dose is necessary to estimate the risk of second cancer after radiotherapy and the damage to the organs at risk surrounding the planning target volume. Although treatment planning systems (TPSs) calculate dose distributions outside the treatment field, little is known about the accuracy of these calculations. The aim of this work is to thoroughly compare the out-of-field dose distributions given by two algorithms implemented in the Monaco TPS, with measurements and full Monte Carlo simulations. Methods: Out-of-field dose distributions predicted by the collapsed cone convolution (CCC) and Monte Carlo (MC Monaco) algorithms, built into the commercially available Monaco version 5.11 TPS, are compared with measurements carried out on an Elekta Axesse linear accelerator. For the measurements, ion chambers, thermoluminescent dosimeters, and EBT3 film are used. The BEAMnrc code, built on the EGSnrc system, is used to create a model of the Elekta Axesse with the Agility collimation system, and the space phase file generated is scored by DOSXYZnrc to generate the dose distributions (MC EGSnrc). Three different irradiation scenarios are considered: (a) a 10 × 10 cm 2 field, (b) an IMRT prostate plan, and (c) a three-field lung plan. Monaco's calculations, experimental measurements, and Monte Carlo simulations are carried out in water and/or in an ICRP110 phantom. Results: For the 10 × 10 cm 2 field case, CCC underestimated the dose, compared to ion chamber measurements, by 13% (differences relative to the algorithm) on average between the 5% and the ≈2% isodoses. MC Monaco underestimated the dose only from approximately the 2% isodose for this case. Qualitatively similar results were observed for the studied IMRT case when compared to film dosimetry. For the three-field lung plan, dose underestimations of up to ≈90% for MC Monaco and ≈60% for CCC, relative to MC EGSnrc simulations, were observed in mean dose to organs located beyond the 2% isodose. Conclusions: This work shows that Monaco underestimates out-of-field doses in almost all the cases considered. Thus, it does not describe dose distribution beyond the border of the field accurately. This is in agreement with previously published works reporting similar results for other TPSs. Analytical models for out-of-field dose assessment, MC simulations or experimental measurements may be an adequate alternative for this purpose.

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Section: Discussionsupporting

confidence: 93%

Section: A Algorithms' Performancesupporting

confidence: 75%

Study of out‐of‐field dose in photon radiotherapy: A commercial treatment planning system versus measurements and Monte Carlo simulations

et al. 2020

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Quelle énergie de photons pour la modulation d’intensité et l’arcthérapie volumétrique en 2019 ?

Nassef

Saïdi

Pugnaire

et al. 2019

Cancer/Radiothérapie

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A Review of Analytical Models of Stray Radiation Exposures From Photon- And Proton-Beam Radiotherapies

Newhauser

Schneider

Wilson

et al. 2017

Radiation Protection Dosimetry

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External-beam radiation therapy is safe, effective and widely used to treat cancer. With 5-year cancer survival for adults above 70%, increasingly research is focusing on quantifying and reducing treatment-related morbidity. Reducing exposures to healthy tissues is one strategy, which can be accomplished with advanced-technology radiotherapies, such as intensity-modulated photon therapy and proton therapy. Both of these modalities provide good conformation of the therapeutic dose to the tumor volume, but they also deliver stray radiation to the whole body that increases the risk of radiogenic second cancers. To minimize these risks, one needs to create and compare candidate treatment plans that explicitly take into account these risks. Currently, clinical practice does not include routine calculation of stray radiation exposure and, consequently, the assessment of corresponding risks is difficult. In this article, we review recent progress toward stray dose algorithms that are suitable for large-scale clinical use. In particular, we emphasize the current state of physics-based dose algorithms for intensity-modulated photon radiotherapy and proton therapy.

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Neutron measurements in radiotherapy: A method to correct neutron sensitive devices for parasitic photon response

Cited by 3 publications

References 21 publications

Study of out‐of‐field dose in photon radiotherapy: A commercial treatment planning system versus measurements and Monte Carlo simulations

Study of out‐of‐field dose in photon radiotherapy: A commercial treatment planning system versus measurements and Monte Carlo simulations

Quelle énergie de photons pour la modulation d’intensité et l’arcthérapie volumétrique en 2019 ?

A Review of Analytical Models of Stray Radiation Exposures From Photon- And Proton-Beam Radiotherapies

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