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

dc.contributor.authorSánchez Nieto, Beatriz
dc.contributor.authorMedina Ascanio, Karem Nathalie
dc.contributor.authorRodríguez Mongua, José Luis
dc.contributor.authorDoerner, Edgardo
dc.contributor.authorEspinoza Bornscheuer, Ignacio Guillermo
dc.date.accessioned2023-01-16T20:27:43Z
dc.date.available2023-01-16T20:27:43Z
dc.date.issued2020
dc.description.abstractPurpose: 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 (MCMonaco) 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 (MCEGSnrc). Three different irradiation scenarios are considered: (a) a 10 x 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 x 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 approximate to 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 approximate to 90% for MC(Monaco)and approximate to 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.
dc.fechaingreso.objetodigital2023-01-16
dc.fuente.origenConveris
dc.identifier.converisid1
dc.identifier.doi10.1002/mp.14356
dc.identifier.issn0094-2405
dc.identifier.pubmedidMEDLINE:32583441
dc.identifier.scopusid2-s2.0-85088016264
dc.identifier.urihttps://aapm.onlinelibrary.wiley.com/doi/full/10.1002/mp.14356
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/66357
dc.identifier.wosidWOS:000548685800001
dc.information.autorucInstituto de física ; Sánchez Nieto, Beatriz ; 0000-0003-0713-3108 ; 192291
dc.information.autorucInstituto de física ; Medina Ascanio, Karem Nathalie ; S/I ; 1031013
dc.information.autorucInstituto de física ; Rodríguez Mongua, José Luis ; S/I ; 1031012
dc.information.autorucInstituto de física ; Espinoza Bornscheuer, Ignacio Guillermo ; S/I ; 131177
dc.issue.numero9
dc.language.isoen
dc.nota.accesoContenido completo
dc.pagina.final4625
dc.pagina.inicio4616
dc.revistaMedical Physics
dc.rightsacceso abierto
dc.subject.ods03 Good Health and Well-being
dc.subject.odspa03 Salud y bienestar
dc.titleStudy of out-of-field dose in photon radiotherapy: A commercial treatment planning system versus measurements and Monte Carlo simulations
dc.typeartículo
dc.volumen47
sipa.codpersvinculados192291
sipa.codpersvinculados1031013
sipa.codpersvinculados1031012
sipa.codpersvinculados131177
sipa.indexWoS
sipa.indexPubmed
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