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Benchmark of the PenRed Monte Carlo framework for HDR brachytherapy

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Benchmark of the PenRed Monte Carlo framework for HDR brachytherapy

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dc.contributor.author Oliver-Gil, Sandra es_ES
dc.contributor.author Giménez-Alventosa, V. es_ES
dc.contributor.author Berumen, F. es_ES
dc.contributor.author Giménez, V. es_ES
dc.contributor.author Beaulieu, L. es_ES
dc.contributor.author Ballester, F. es_ES
dc.contributor.author Vijande, J. es_ES
dc.date.accessioned 2024-01-04T19:01:00Z
dc.date.available 2024-01-04T19:01:00Z
dc.date.issued 2023-11 es_ES
dc.identifier.issn 0939-3889 es_ES
dc.identifier.uri http://hdl.handle.net/10251/201514
dc.description.abstract [EN] Purpose: The purpose of this study is to validate the PenRed Monte Carlo framework for clinical applications in brachytherapy. PenRed is a C++ version of Penelope Monte Carlo code with additional tallies and utilities. Methods and materials: Six benchmarking scenarios are explored to validate the use of PenRed and its improved bachytherapy-oriented capabilities for HDR brachytherapy. A new tally allowing the evaluation of collisional kerma for any material using the track length kerma estimator and the possibility to obtain the seed positions, weights and directions processing directly the DICOM file are now implemented in the PenRed distribution. The four non-clinical test cases developed by the Joint AAPM-ESTRO-ABG-ABS WG-DCAB were evaluated by comparing local and global absorbed dose differences with respect to established reference datasets. A prostate and a palliative lung cases, were also studied. For them, absorbed dose ratios, global absorbed dose differences, and cumulative dose-volume histograms were obtained and discussed. Results: The air-kerma strength and the dose rate constant corresponding to the two sources agree with the reference datatests within 0.3% (Sk) and 0.1% (¿). With respect to the first three WG-DCAB test cases, more than 99.8% of the voxels present local (global) differences within ±1%(±0.1%) of the reference datasets. For test Case 4 reference dataset, more than 94.9%(97.5%) of voxels show an agreement within ±1%(±0.1%), better than similar benchmarking calculations in the literature. The track length kerma estimator scorer implemented increases the numerical efficiency of brachytherapy calculations two orders of magnitude, while the specific brachytherapy source allows the user to avoid the use of error-prone intermediate steps to translate the DICOM information into the simulation. In both clinical cases, only minor absorbed dose differences arise in the low-dose isodoses. 99.8% and 100% of the voxels have a global absorbed dose difference ratio within ±0.2% for the prostate and lung cases, respectively. The role played by the different segmentation and composition material in the bone structures was discussed, obtaining negligible absorbed dose differences. Dose-volume histograms were in agreement with the reference data. Conclusions: PenRed incorporates new tallies and utilities and has been validated for its use for detailed and precise high-dose-rate brachytherapy simulations. es_ES
dc.description.sponsorship This work is partially supported by the Ministerio de Ciencia e Innovación of Spain (MCIN) grants PID2020- 113126RB-I00 and PID2021-125096NB-I00 funded by MCIN/AEI/10.13039/501100011033. V. G. acknowledges partial support from AEI-MICINN under grant PID2020-1 13334GB-I00/AEI/10.13039/501100011033 and by Generalitat Valenciana through the project PROMETEO/2019/087. The work has also been supported by the Natural Sciences and Engineering Research Council of Canada (NSERC) grant RGPIN-2019-05038. Francisco Berumen acknowledges support by the Fonds de Recherche du Québec ¿ Nature et Technologies (FRQNT). J.V. and F.B. would like to acknowledge funding by MCIN/ AEI/10.13039 and the Generalitat Valenciana (GVA) grant PROMETEO/2021/064. Our colleague Prof. Vicent Giménez Gómez passed away on November 16, 2022, during the proofs of this study. We dedicate it to his memory. The Universitat de València lost a dedicated and accomplished physicist. es_ES
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation.ispartof Zeitschrift für Medizinische Physik es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Monte Carlo es_ES
dc.subject PenRed es_ES
dc.subject Brachytherapy es_ES
dc.subject DICOM es_ES
dc.subject Medical physics es_ES
dc.subject.classification FISICA APLICADA es_ES
dc.title Benchmark of the PenRed Monte Carlo framework for HDR brachytherapy es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.zemedi.2022.11.002 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-113126RB-I00/ES/COMPUTACION CIENTIFICA SERVERLESS A TRAVES DEL HIBRIDO CONTINUO CLOUD/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-113334GB-I00/ES/PARTICULAS ELEMENTALES: EL MODELO ESTANDAR Y SUS EXTENSIONES/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/NSERC//RGPIN-2019-05038/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/GVA//PROMETEO%2F2019%2F087/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/GVA//PROMETEO%2F2021%2F064/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MICINN//PID2021-125096NB-I00/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros Industriales - Escola Tècnica Superior d'Enginyers Industrials es_ES
dc.description.bibliographicCitation Oliver-Gil, S.; Giménez-Alventosa, V.; Berumen, F.; Giménez, V.; Beaulieu, L.; Ballester, F.; Vijande, J. (2023). Benchmark of the PenRed Monte Carlo framework for HDR brachytherapy. Zeitschrift für Medizinische Physik. 33(4):511-528. https://doi.org/10.1016/j.zemedi.2022.11.002 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1016/j.zemedi.2022.11.002 es_ES
dc.description.upvformatpinicio 511 es_ES
dc.description.upvformatpfin 528 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 33 es_ES
dc.description.issue 4 es_ES
dc.identifier.pmid 36509574 es_ES
dc.identifier.pmcid PMC10751717 es_ES
dc.relation.pasarela S\486400 es_ES
dc.contributor.funder Generalitat Valenciana es_ES
dc.contributor.funder Agencia Estatal de Investigación es_ES
dc.contributor.funder Ministerio de Ciencia e Innovación es_ES
dc.contributor.funder Fonds de Recherche du Québec - Nature et Technologies es_ES
dc.contributor.funder Natural Sciences and Engineering Research Council of Canada es_ES


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