Beta-minus emitters dose point kernel estimation model comprising different tissues for nuclear medicine dosimetry applications
- Autores
- Pérez, Pedro Antonio; Geser, Federico Alejandro; Scarinci, Ignacio Emanuel; Malano, Francisco Mauricio; Valente, Mauro Andres
- Año de publicación
- 2016
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- The use of β-emitters for therapy purposes is one of the most extended procedures for tumor treatments in nuclear medicine practices over the last years. The constantly increasing dose delivery to healthy tissues in this practices, due to their high linear energy transfer and their radiobiological characteristics, might lead to complications in radiosensitive organs/tissues. Research efforts should be conducted to the development of tools and methods devoted to perform precise dosimetric calculations to deal with this issue and assess accurately dosimetric estimations on patients treated regions.When performing dosimetry at organ level it is usual to assume some approximations on calculations, like uniformity in activity distribution within source regions, homogeneous media distribution for patient treated regions and uniform delivered dose on target organs. In this work, a formula to obtain Dose Point Kernel for different biological media is presented. Results are collated with Monte Carlo simulations suggesting a behavior that can be splitted in three groups, in accordance to their differences against the stochastic estimations: a) skin, blood and brain present differences within the 5% in comparison with the reference data; b) skeletal muscle, soft tissue, striated muscle and adipose tissue have differences lower than 20%; and c) compact bone, cortical bone and lung tissue differences are found above 50%.This introduction of a medium-specific Dose Point Kernel calculation method could potentially lead to future improvements on dosimetric systems, limiting for now this model to tissues with effective atomic number closed to liquid water.
Fil: Pérez, Pedro Antonio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Física Enrique Gaviola. Universidad Nacional de Córdoba. Instituto de Física Enrique Gaviola; Argentina. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina
Fil: Geser, Federico Alejandro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Física Enrique Gaviola. Universidad Nacional de Córdoba. Instituto de Física Enrique Gaviola; Argentina
Fil: Scarinci, Ignacio Emanuel. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina
Fil: Malano, Francisco Mauricio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Física Enrique Gaviola. Universidad Nacional de Córdoba. Instituto de Física Enrique Gaviola; Argentina. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina
Fil: Valente, Mauro Andres. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Física Enrique Gaviola. Universidad Nacional de Córdoba. Instituto de Física Enrique Gaviola; Argentina. Universidad de La Frontera; Chile - Materia
-
DOSE POINT KERNEL
RADIOISOTOPE
MONTE CARLO SIMULATION
THEORETICAL MODELS
TARGETED RADIONUCLIDE THERAPY - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- Atribución-NoComercial-CompartirIgual 2.5 Argentina (CC BY-NC-SA 2.5 AR)
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/186251
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Beta-minus emitters dose point kernel estimation model comprising different tissues for nuclear medicine dosimetry applicationsPérez, Pedro AntonioGeser, Federico AlejandroScarinci, Ignacio EmanuelMalano, Francisco MauricioValente, Mauro AndresDOSE POINT KERNELRADIOISOTOPEMONTE CARLO SIMULATIONTHEORETICAL MODELSTARGETED RADIONUCLIDE THERAPYhttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1The use of β-emitters for therapy purposes is one of the most extended procedures for tumor treatments in nuclear medicine practices over the last years. The constantly increasing dose delivery to healthy tissues in this practices, due to their high linear energy transfer and their radiobiological characteristics, might lead to complications in radiosensitive organs/tissues. Research efforts should be conducted to the development of tools and methods devoted to perform precise dosimetric calculations to deal with this issue and assess accurately dosimetric estimations on patients treated regions.When performing dosimetry at organ level it is usual to assume some approximations on calculations, like uniformity in activity distribution within source regions, homogeneous media distribution for patient treated regions and uniform delivered dose on target organs. In this work, a formula to obtain Dose Point Kernel for different biological media is presented. Results are collated with Monte Carlo simulations suggesting a behavior that can be splitted in three groups, in accordance to their differences against the stochastic estimations: a) skin, blood and brain present differences within the 5% in comparison with the reference data; b) skeletal muscle, soft tissue, striated muscle and adipose tissue have differences lower than 20%; and c) compact bone, cortical bone and lung tissue differences are found above 50%.This introduction of a medium-specific Dose Point Kernel calculation method could potentially lead to future improvements on dosimetric systems, limiting for now this model to tissues with effective atomic number closed to liquid water.Fil: Pérez, Pedro Antonio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Física Enrique Gaviola. Universidad Nacional de Córdoba. Instituto de Física Enrique Gaviola; Argentina. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; ArgentinaFil: Geser, Federico Alejandro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Física Enrique Gaviola. Universidad Nacional de Córdoba. Instituto de Física Enrique Gaviola; ArgentinaFil: Scarinci, Ignacio Emanuel. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; ArgentinaFil: Malano, Francisco Mauricio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Física Enrique Gaviola. Universidad Nacional de Córdoba. Instituto de Física Enrique Gaviola; Argentina. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; ArgentinaFil: Valente, Mauro Andres. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Física Enrique Gaviola. Universidad Nacional de Córdoba. Instituto de Física Enrique Gaviola; Argentina. Universidad de La Frontera; ChileCosmos Scholars Publishing House2016-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/186251Pérez, Pedro Antonio; Geser, Federico Alejandro; Scarinci, Ignacio Emanuel; Malano, Francisco Mauricio; Valente, Mauro Andres; Beta-minus emitters dose point kernel estimation model comprising different tissues for nuclear medicine dosimetry applications; Cosmos Scholars Publishing House; International Journal of Nuclear Medicine Research; 3; 2; 9-2016; 45-552408-9788CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.cosmosscholars.com/previous-issue-ijnmr/46-abstracts/ijnmr/593-abstract-beta-minus-emitters-dose-point-kernel-estimation-model-comprising-different-tissues-for-nuclear-medicine-dosimetry-applicationsinfo:eu-repo/semantics/altIdentifier/doi/10.15379/2408-9788.2016.03.02.02info:eu-repo/semantics/openAccessAtribución-NoComercial-CompartirIgual 2.5 Argentina (CC BY-NC-SA 2.5 AR)https://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T14:24:07Zoai:ri.conicet.gov.ar:11336/186251instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-15 14:24:08.207CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Beta-minus emitters dose point kernel estimation model comprising different tissues for nuclear medicine dosimetry applications |
title |
Beta-minus emitters dose point kernel estimation model comprising different tissues for nuclear medicine dosimetry applications |
spellingShingle |
Beta-minus emitters dose point kernel estimation model comprising different tissues for nuclear medicine dosimetry applications Pérez, Pedro Antonio DOSE POINT KERNEL RADIOISOTOPE MONTE CARLO SIMULATION THEORETICAL MODELS TARGETED RADIONUCLIDE THERAPY |
title_short |
Beta-minus emitters dose point kernel estimation model comprising different tissues for nuclear medicine dosimetry applications |
title_full |
Beta-minus emitters dose point kernel estimation model comprising different tissues for nuclear medicine dosimetry applications |
title_fullStr |
Beta-minus emitters dose point kernel estimation model comprising different tissues for nuclear medicine dosimetry applications |
title_full_unstemmed |
Beta-minus emitters dose point kernel estimation model comprising different tissues for nuclear medicine dosimetry applications |
title_sort |
Beta-minus emitters dose point kernel estimation model comprising different tissues for nuclear medicine dosimetry applications |
dc.creator.none.fl_str_mv |
Pérez, Pedro Antonio Geser, Federico Alejandro Scarinci, Ignacio Emanuel Malano, Francisco Mauricio Valente, Mauro Andres |
author |
Pérez, Pedro Antonio |
author_facet |
Pérez, Pedro Antonio Geser, Federico Alejandro Scarinci, Ignacio Emanuel Malano, Francisco Mauricio Valente, Mauro Andres |
author_role |
author |
author2 |
Geser, Federico Alejandro Scarinci, Ignacio Emanuel Malano, Francisco Mauricio Valente, Mauro Andres |
author2_role |
author author author author |
dc.subject.none.fl_str_mv |
DOSE POINT KERNEL RADIOISOTOPE MONTE CARLO SIMULATION THEORETICAL MODELS TARGETED RADIONUCLIDE THERAPY |
topic |
DOSE POINT KERNEL RADIOISOTOPE MONTE CARLO SIMULATION THEORETICAL MODELS TARGETED RADIONUCLIDE THERAPY |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.3 https://purl.org/becyt/ford/1 |
dc.description.none.fl_txt_mv |
The use of β-emitters for therapy purposes is one of the most extended procedures for tumor treatments in nuclear medicine practices over the last years. The constantly increasing dose delivery to healthy tissues in this practices, due to their high linear energy transfer and their radiobiological characteristics, might lead to complications in radiosensitive organs/tissues. Research efforts should be conducted to the development of tools and methods devoted to perform precise dosimetric calculations to deal with this issue and assess accurately dosimetric estimations on patients treated regions.When performing dosimetry at organ level it is usual to assume some approximations on calculations, like uniformity in activity distribution within source regions, homogeneous media distribution for patient treated regions and uniform delivered dose on target organs. In this work, a formula to obtain Dose Point Kernel for different biological media is presented. Results are collated with Monte Carlo simulations suggesting a behavior that can be splitted in three groups, in accordance to their differences against the stochastic estimations: a) skin, blood and brain present differences within the 5% in comparison with the reference data; b) skeletal muscle, soft tissue, striated muscle and adipose tissue have differences lower than 20%; and c) compact bone, cortical bone and lung tissue differences are found above 50%.This introduction of a medium-specific Dose Point Kernel calculation method could potentially lead to future improvements on dosimetric systems, limiting for now this model to tissues with effective atomic number closed to liquid water. Fil: Pérez, Pedro Antonio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Física Enrique Gaviola. Universidad Nacional de Córdoba. Instituto de Física Enrique Gaviola; Argentina. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina Fil: Geser, Federico Alejandro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Física Enrique Gaviola. Universidad Nacional de Córdoba. Instituto de Física Enrique Gaviola; Argentina Fil: Scarinci, Ignacio Emanuel. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina Fil: Malano, Francisco Mauricio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Física Enrique Gaviola. Universidad Nacional de Córdoba. Instituto de Física Enrique Gaviola; Argentina. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina Fil: Valente, Mauro Andres. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Física Enrique Gaviola. Universidad Nacional de Córdoba. Instituto de Física Enrique Gaviola; Argentina. Universidad de La Frontera; Chile |
description |
The use of β-emitters for therapy purposes is one of the most extended procedures for tumor treatments in nuclear medicine practices over the last years. The constantly increasing dose delivery to healthy tissues in this practices, due to their high linear energy transfer and their radiobiological characteristics, might lead to complications in radiosensitive organs/tissues. Research efforts should be conducted to the development of tools and methods devoted to perform precise dosimetric calculations to deal with this issue and assess accurately dosimetric estimations on patients treated regions.When performing dosimetry at organ level it is usual to assume some approximations on calculations, like uniformity in activity distribution within source regions, homogeneous media distribution for patient treated regions and uniform delivered dose on target organs. In this work, a formula to obtain Dose Point Kernel for different biological media is presented. Results are collated with Monte Carlo simulations suggesting a behavior that can be splitted in three groups, in accordance to their differences against the stochastic estimations: a) skin, blood and brain present differences within the 5% in comparison with the reference data; b) skeletal muscle, soft tissue, striated muscle and adipose tissue have differences lower than 20%; and c) compact bone, cortical bone and lung tissue differences are found above 50%.This introduction of a medium-specific Dose Point Kernel calculation method could potentially lead to future improvements on dosimetric systems, limiting for now this model to tissues with effective atomic number closed to liquid water. |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016-09 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/186251 Pérez, Pedro Antonio; Geser, Federico Alejandro; Scarinci, Ignacio Emanuel; Malano, Francisco Mauricio; Valente, Mauro Andres; Beta-minus emitters dose point kernel estimation model comprising different tissues for nuclear medicine dosimetry applications; Cosmos Scholars Publishing House; International Journal of Nuclear Medicine Research; 3; 2; 9-2016; 45-55 2408-9788 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/186251 |
identifier_str_mv |
Pérez, Pedro Antonio; Geser, Federico Alejandro; Scarinci, Ignacio Emanuel; Malano, Francisco Mauricio; Valente, Mauro Andres; Beta-minus emitters dose point kernel estimation model comprising different tissues for nuclear medicine dosimetry applications; Cosmos Scholars Publishing House; International Journal of Nuclear Medicine Research; 3; 2; 9-2016; 45-55 2408-9788 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/https://www.cosmosscholars.com/previous-issue-ijnmr/46-abstracts/ijnmr/593-abstract-beta-minus-emitters-dose-point-kernel-estimation-model-comprising-different-tissues-for-nuclear-medicine-dosimetry-applications info:eu-repo/semantics/altIdentifier/doi/10.15379/2408-9788.2016.03.02.02 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess Atribución-NoComercial-CompartirIgual 2.5 Argentina (CC BY-NC-SA 2.5 AR) https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
Atribución-NoComercial-CompartirIgual 2.5 Argentina (CC BY-NC-SA 2.5 AR) https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf application/pdf application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Cosmos Scholars Publishing House |
publisher.none.fl_str_mv |
Cosmos Scholars Publishing House |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
reponame_str |
CONICET Digital (CONICET) |
collection |
CONICET Digital (CONICET) |
instname_str |
Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.name.fl_str_mv |
CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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score |
13.22299 |