Prostate cancer Monte Carlo dose model with (177)Lutetium and (125)Iodine treatments

[EN] Radiation Therapy Planning Systems (RTPS) presently operating in hospitals comprise algorithms founded on deterministic simplifications that do not correctly take into account electron lateral transport in the regions where there are variations in density, and as a consequence, erroneous dose e...

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Autores: Juste-Vidal, Belen-Jeanne|||0000-0003-1978-3765, Miró Herrero, Rafael|||0000-0003-1012-0869, Verdú Martín, Gumersindo Jesús|||0000-0001-5098-080X, Morató-Rafet, Sergio, Peris, S.
Tipo de recurso: artículo
Fecha de publicación:2020
País:España
Institución:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/172298
Acceso en línea:https://riunet.upv.es/handle/10251/172298
Access Level:acceso abierto
Palabra clave:Radiotherapy treatment planning
Prostate cancer treatment
MCNP6
Monte Carlo
Brachytherapy
125I seeds
177Lu-PSMA
INGENIERIA NUCLEAR
09.- Desarrollar infraestructuras resilientes, promover la industrialización inclusiva y sostenible, y fomentar la innovación
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network_acronym_str ES
network_name_str España
repository_id_str
spelling Prostate cancer Monte Carlo dose model with (177)Lutetium and (125)Iodine treatmentsJuste-Vidal, Belen-Jeanne|||0000-0003-1978-3765Miró Herrero, Rafael|||0000-0003-1012-0869Verdú Martín, Gumersindo Jesús|||0000-0001-5098-080XMorató-Rafet, SergioPeris, S.Radiotherapy treatment planningProstate cancer treatmentMCNP6Monte CarloBrachytherapy125I seeds177Lu-PSMAINGENIERIA NUCLEAR09.- Desarrollar infraestructuras resilientes, promover la industrialización inclusiva y sostenible, y fomentar la innovación[EN] Radiation Therapy Planning Systems (RTPS) presently operating in hospitals comprise algorithms founded on deterministic simplifications that do not correctly take into account electron lateral transport in the regions where there are variations in density, and as a consequence, erroneous dose estimations could be generated. According to this, the possibility of using the Monte Carlo (MC) method in radiation planning systems is proposed in this work, since this technique could affect positively on the patient treatment. The proposed methodology provides 3D dose results that are more accurate and considers the inhomogeneities density variations. This paper presents a MC simulation of two different prostate cancer treatments using the latest version of MCNP, v.6.1.1; brachytherapy with I-125 seeds and radiolabeled Lu-177-PSMA. To that, a 3D model of the anatomy of a real anonymized patient is created from the segmentation of Computed Tomography (CT) images. Treatments over this 3D model is simulated and the dose given to the prostate and each surrounding organ is obtained for both treatments. Results have been verified with doses calculated by deterministic planning system used in hospital in the case of brachytherapy treatment, demonstrating the efficiency of MC method in the development of radiation cancer treatments, not only because of the results accuracy but also concerning the clinical affordable computing timesElsevierDepartamento de Ingeniería Química y NuclearEscuela Técnica Superior de Ingeniería IndustrialInstituto Universitario de Seguridad Industrial, Radiofísica y MedioambientalGENERALITAT VALENCIANARepositorio Institucional de la Universitat Politècnica de València Riunet20202020-09-01journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfapplication/pdfhttps://riunet.upv.es/handle/10251/172298reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valénciainstname:Universitat Politècnica de València (UPV)InglésengGeneralitat Valenciana https://doi.org/10.13039/501100003359 PROMETEO%2F2018%2F035 BIOINGENIERIA DE LAS RADIACIONES IONIZANTES. BIORAopen accesshttp://purl.org/coar/access_right/c_abf2Reserva de todos los derechoshttp://rightsstatements.org/vocab/InC/1.0/info:eu-repo/semantics/openAccessoai:riunet.upv.es:10251/1722982026-06-13T07:49:27Z
dc.title.none.fl_str_mv Prostate cancer Monte Carlo dose model with (177)Lutetium and (125)Iodine treatments
title Prostate cancer Monte Carlo dose model with (177)Lutetium and (125)Iodine treatments
spellingShingle Prostate cancer Monte Carlo dose model with (177)Lutetium and (125)Iodine treatments
Juste-Vidal, Belen-Jeanne|||0000-0003-1978-3765
Radiotherapy treatment planning
Prostate cancer treatment
MCNP6
Monte Carlo
Brachytherapy
125I seeds
177Lu-PSMA
INGENIERIA NUCLEAR
09.- Desarrollar infraestructuras resilientes, promover la industrialización inclusiva y sostenible, y fomentar la innovación
title_short Prostate cancer Monte Carlo dose model with (177)Lutetium and (125)Iodine treatments
title_full Prostate cancer Monte Carlo dose model with (177)Lutetium and (125)Iodine treatments
title_fullStr Prostate cancer Monte Carlo dose model with (177)Lutetium and (125)Iodine treatments
title_full_unstemmed Prostate cancer Monte Carlo dose model with (177)Lutetium and (125)Iodine treatments
title_sort Prostate cancer Monte Carlo dose model with (177)Lutetium and (125)Iodine treatments
dc.creator.none.fl_str_mv Juste-Vidal, Belen-Jeanne|||0000-0003-1978-3765
Miró Herrero, Rafael|||0000-0003-1012-0869
Verdú Martín, Gumersindo Jesús|||0000-0001-5098-080X
Morató-Rafet, Sergio
Peris, S.
author Juste-Vidal, Belen-Jeanne|||0000-0003-1978-3765
author_facet Juste-Vidal, Belen-Jeanne|||0000-0003-1978-3765
Miró Herrero, Rafael|||0000-0003-1012-0869
Verdú Martín, Gumersindo Jesús|||0000-0001-5098-080X
Morató-Rafet, Sergio
Peris, S.
author_role author
author2 Miró Herrero, Rafael|||0000-0003-1012-0869
Verdú Martín, Gumersindo Jesús|||0000-0001-5098-080X
Morató-Rafet, Sergio
Peris, S.
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Departamento de Ingeniería Química y Nuclear
Escuela Técnica Superior de Ingeniería Industrial
Instituto Universitario de Seguridad Industrial, Radiofísica y Medioambiental
GENERALITAT VALENCIANA
Repositorio Institucional de la Universitat Politècnica de València Riunet
dc.subject.none.fl_str_mv Radiotherapy treatment planning
Prostate cancer treatment
MCNP6
Monte Carlo
Brachytherapy
125I seeds
177Lu-PSMA
INGENIERIA NUCLEAR
09.- Desarrollar infraestructuras resilientes, promover la industrialización inclusiva y sostenible, y fomentar la innovación
topic Radiotherapy treatment planning
Prostate cancer treatment
MCNP6
Monte Carlo
Brachytherapy
125I seeds
177Lu-PSMA
INGENIERIA NUCLEAR
09.- Desarrollar infraestructuras resilientes, promover la industrialización inclusiva y sostenible, y fomentar la innovación
description [EN] Radiation Therapy Planning Systems (RTPS) presently operating in hospitals comprise algorithms founded on deterministic simplifications that do not correctly take into account electron lateral transport in the regions where there are variations in density, and as a consequence, erroneous dose estimations could be generated. According to this, the possibility of using the Monte Carlo (MC) method in radiation planning systems is proposed in this work, since this technique could affect positively on the patient treatment. The proposed methodology provides 3D dose results that are more accurate and considers the inhomogeneities density variations. This paper presents a MC simulation of two different prostate cancer treatments using the latest version of MCNP, v.6.1.1; brachytherapy with I-125 seeds and radiolabeled Lu-177-PSMA. To that, a 3D model of the anatomy of a real anonymized patient is created from the segmentation of Computed Tomography (CT) images. Treatments over this 3D model is simulated and the dose given to the prostate and each surrounding organ is obtained for both treatments. Results have been verified with doses calculated by deterministic planning system used in hospital in the case of brachytherapy treatment, demonstrating the efficiency of MC method in the development of radiation cancer treatments, not only because of the results accuracy but also concerning the clinical affordable computing times
publishDate 2020
dc.date.none.fl_str_mv 2020
2020-09-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://riunet.upv.es/handle/10251/172298
url https://riunet.upv.es/handle/10251/172298
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv Generalitat Valenciana https://doi.org/10.13039/501100003359 PROMETEO%2F2018%2F035 BIOINGENIERIA DE LAS RADIACIONES IONIZANTES. BIORA
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reserva de todos los derechos
http://rightsstatements.org/vocab/InC/1.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reserva de todos los derechos
http://rightsstatements.org/vocab/InC/1.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname:Universitat Politècnica de València (UPV)
instname_str Universitat Politècnica de València (UPV)
reponame_str RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
collection RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.300719

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