Towards personalized patient 3D Monte Carlo dosimetry for Lu-177-psma prostate treatments

[EN] Prostate-Specific Membrane Antigen (PSMA)-labeled Lu-177 therapy is a novel nuclear medicine therapy for metastatic prostate cancer, increasingly adopted worldwide due to the benefits observed in different patient studies. Administered in several cycles, each with a single injection and with a...

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Authors: Ribes, V., Oliver-Gil, Sandra|||0000-0001-8258-3972, Juste-Vidal, Belen-Jeanne|||0000-0003-1978-3765, Miró Herrero, Rafael|||0000-0003-1012-0869, Verdú Martín, Gumersindo Jesús|||0000-0001-5098-080X
Format: article
Publication Date:2024
Country:España
Institution:Universitat Politècnica de València (UPV)
Repository:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Language:English
OAI Identifier:oai:riunet.upv.es:10251/214922
Online Access:https://riunet.upv.es/handle/10251/214922
Access Level:Open access
Keyword:Monte Carlo simulation
MCNP6
Dosimetry
Nuclear medicine
LU-177-PSMA-617
FISICA APLICADA
INGENIERIA NUCLEAR
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spelling Towards personalized patient 3D Monte Carlo dosimetry for Lu-177-psma prostate treatmentsRibes, V.Oliver-Gil, Sandra|||0000-0001-8258-3972Juste-Vidal, Belen-Jeanne|||0000-0003-1978-3765Miró Herrero, Rafael|||0000-0003-1012-0869Verdú Martín, Gumersindo Jesús|||0000-0001-5098-080XMonte Carlo simulationMCNP6DosimetryNuclear medicineLU-177-PSMA-617FISICA APLICADAINGENIERIA NUCLEAR[EN] Prostate-Specific Membrane Antigen (PSMA)-labeled Lu-177 therapy is a novel nuclear medicine therapy for metastatic prostate cancer, increasingly adopted worldwide due to the benefits observed in different patient studies. Administered in several cycles, each with a single injection and with a standard activity, the therapy requires customized dosimetry to evaluate efficacy and toxicity. The uptake of Lu-177-PSMA-617 in different organs strongly depends on the patient 's anatomy, metastasis distribution, and the activity injected, underscoring the need for personalized dosimetry. This study aims to conduct dosimetry research on patients after several cycles of Lu-177-PSMA administration by Monte Carlo simulation using MCNP6.2. In order to make this study as realistic as possible, a high-resolution anthropomorphic computational phantom is used, the "Mesh-type Reference Computational Phantom " (MRCP) described in ICRP publication 145. This methodology is applied to different distributions of metastatic tissue, based on SPECT images where activity distribution within the patient 's body is localized. Since Lu-177-PSMA-617 is deposited in those regions where prostate cancer metastasis has occurred, in Monte Carlo simulations these organs are considered as a source of irradiation with different emission activities probabilities depending on the patient. Once the organ activity distribution is determined, the simulation is performed in MCNP6.2 and the 3D dose distribution in the phantom is evaluated. Based on Monte Carlo results, doses at organs at risk are evaluated, estimating the total absorbed doses until the complete disintegration of Lu-177. Simulation results enable personalized adjustment of injected Lu-177 according to the needs of the clinical case. This approach has proven to be a valuable tool for assessing individual patient doses, treatment effectiveness, and healthy organ irradiation levels.This study was partially supported by IRAMED (CIPROM/2022/38) from "Conselleria d'Innovaci, Universitats, Cincia i Societat Digital" funded by "Generalitat Valenciana", under the program PROMETEO 2023.ElsevierDepartamento de Física AplicadaDepartamento de Ingeniería Química y NuclearEscuela Técnica Superior de Ingeniería IndustrialInstituto Universitario de Seguridad Industrial, Radiofísica y MedioambientalGENERALITAT VALENCIANAUniversitat Politècnica de ValènciaRepositorio Institucional de la Universitat Politècnica de València Riunet20242024-10-01journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://riunet.upv.es/handle/10251/214922reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valénciainstname:Universitat Politècnica de València (UPV)InglésengGeneralitat Valenciana https://doi.org/10.13039/501100003359 CIPROM%2F2022%2F38 IONIZING RADIATION DOSE REDUCTION IN MEDICAL APPLICATIONSopen accesshttp://purl.org/coar/access_right/c_abf2Reconocimiento (by)http://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:riunet.upv.es:10251/2149222026-06-13T07:49:27Z
dc.title.none.fl_str_mv Towards personalized patient 3D Monte Carlo dosimetry for Lu-177-psma prostate treatments
title Towards personalized patient 3D Monte Carlo dosimetry for Lu-177-psma prostate treatments
spellingShingle Towards personalized patient 3D Monte Carlo dosimetry for Lu-177-psma prostate treatments
Ribes, V.
Monte Carlo simulation
MCNP6
Dosimetry
Nuclear medicine
LU-177-PSMA-617
FISICA APLICADA
INGENIERIA NUCLEAR
title_short Towards personalized patient 3D Monte Carlo dosimetry for Lu-177-psma prostate treatments
title_full Towards personalized patient 3D Monte Carlo dosimetry for Lu-177-psma prostate treatments
title_fullStr Towards personalized patient 3D Monte Carlo dosimetry for Lu-177-psma prostate treatments
title_full_unstemmed Towards personalized patient 3D Monte Carlo dosimetry for Lu-177-psma prostate treatments
title_sort Towards personalized patient 3D Monte Carlo dosimetry for Lu-177-psma prostate treatments
dc.creator.none.fl_str_mv Ribes, V.
Oliver-Gil, Sandra|||0000-0001-8258-3972
Juste-Vidal, Belen-Jeanne|||0000-0003-1978-3765
Miró Herrero, Rafael|||0000-0003-1012-0869
Verdú Martín, Gumersindo Jesús|||0000-0001-5098-080X
author Ribes, V.
author_facet Ribes, V.
Oliver-Gil, Sandra|||0000-0001-8258-3972
Juste-Vidal, Belen-Jeanne|||0000-0003-1978-3765
Miró Herrero, Rafael|||0000-0003-1012-0869
Verdú Martín, Gumersindo Jesús|||0000-0001-5098-080X
author_role author
author2 Oliver-Gil, Sandra|||0000-0001-8258-3972
Juste-Vidal, Belen-Jeanne|||0000-0003-1978-3765
Miró Herrero, Rafael|||0000-0003-1012-0869
Verdú Martín, Gumersindo Jesús|||0000-0001-5098-080X
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Departamento de Física Aplicada
Departamento de Ingeniería Química y Nuclear
Escuela Técnica Superior de Ingeniería Industrial
Instituto Universitario de Seguridad Industrial, Radiofísica y Medioambiental
GENERALITAT VALENCIANA
Universitat Politècnica de València
Repositorio Institucional de la Universitat Politècnica de València Riunet
dc.subject.none.fl_str_mv Monte Carlo simulation
MCNP6
Dosimetry
Nuclear medicine
LU-177-PSMA-617
FISICA APLICADA
INGENIERIA NUCLEAR
topic Monte Carlo simulation
MCNP6
Dosimetry
Nuclear medicine
LU-177-PSMA-617
FISICA APLICADA
INGENIERIA NUCLEAR
description [EN] Prostate-Specific Membrane Antigen (PSMA)-labeled Lu-177 therapy is a novel nuclear medicine therapy for metastatic prostate cancer, increasingly adopted worldwide due to the benefits observed in different patient studies. Administered in several cycles, each with a single injection and with a standard activity, the therapy requires customized dosimetry to evaluate efficacy and toxicity. The uptake of Lu-177-PSMA-617 in different organs strongly depends on the patient 's anatomy, metastasis distribution, and the activity injected, underscoring the need for personalized dosimetry. This study aims to conduct dosimetry research on patients after several cycles of Lu-177-PSMA administration by Monte Carlo simulation using MCNP6.2. In order to make this study as realistic as possible, a high-resolution anthropomorphic computational phantom is used, the "Mesh-type Reference Computational Phantom " (MRCP) described in ICRP publication 145. This methodology is applied to different distributions of metastatic tissue, based on SPECT images where activity distribution within the patient 's body is localized. Since Lu-177-PSMA-617 is deposited in those regions where prostate cancer metastasis has occurred, in Monte Carlo simulations these organs are considered as a source of irradiation with different emission activities probabilities depending on the patient. Once the organ activity distribution is determined, the simulation is performed in MCNP6.2 and the 3D dose distribution in the phantom is evaluated. Based on Monte Carlo results, doses at organs at risk are evaluated, estimating the total absorbed doses until the complete disintegration of Lu-177. Simulation results enable personalized adjustment of injected Lu-177 according to the needs of the clinical case. This approach has proven to be a valuable tool for assessing individual patient doses, treatment effectiveness, and healthy organ irradiation levels.
publishDate 2024
dc.date.none.fl_str_mv 2024
2024-10-01
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/10251/214922
url https://riunet.upv.es/handle/10251/214922
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 CIPROM%2F2022%2F38 IONIZING RADIATION DOSE REDUCTION IN MEDICAL APPLICATIONS
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento (by)
http://creativecommons.org/licenses/by/4.0/
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
Reconocimiento (by)
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 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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