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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 |