Model of avascular tumor growth and response to low dose exposure

Autores
Rodriguez Aguirre, Juan Manuel; Custidiano, Ernesto Ramon
Año de publicación
2011
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
A single level cellular automata model is described and used to simulate early tumor growth, and the response of the tumor cells under low dose radiation affects. In this model the cell cycle of the population of normal and cancer cells is followed. The invasion mechanism of the tumor is simulated by a local factor that takes into account the microenvironment hardness to cell development, in a picture similar to the AMTIH model. The response of normal and cancer cells to direct effects of radiation is tested for various models and a model of bystander response is implemented.
Fil: Rodriguez Aguirre, Juan Manuel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste. Instituto de Modelado e Innovación Tecnológica. Universidad Nacional del Nordeste. Facultad de Ciencias Exactas Naturales y Agrimensura. Instituto de Modelado e Innovación Tecnologica; Argentina
Fil: Custidiano, Ernesto Ramon. Universidad Nacional del Nordeste. Facultad de Ciencias Exactas Naturales y Agrimensura. Departamento de Física; Argentina
Materia
Radiation
Monte Carlo Simulation
Tumor
Numerical Simulation
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/17256
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/17256
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Model of avascular tumor growth and response to low dose exposureRodriguez Aguirre, Juan ManuelCustidiano, Ernesto RamonRadiationMonte Carlo SimulationTumorNumerical Simulationhttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1A single level cellular automata model is described and used to simulate early tumor growth, and the response of the tumor cells under low dose radiation affects. In this model the cell cycle of the population of normal and cancer cells is followed. The invasion mechanism of the tumor is simulated by a local factor that takes into account the microenvironment hardness to cell development, in a picture similar to the AMTIH model. The response of normal and cancer cells to direct effects of radiation is tested for various models and a model of bystander response is implemented.Fil: Rodriguez Aguirre, Juan Manuel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste. Instituto de Modelado e Innovación Tecnológica. Universidad Nacional del Nordeste. Facultad de Ciencias Exactas Naturales y Agrimensura. Instituto de Modelado e Innovación Tecnologica; ArgentinaFil: Custidiano, Ernesto Ramon. Universidad Nacional del Nordeste. Facultad de Ciencias Exactas Naturales y Agrimensura. Departamento de Física; ArgentinaIOP Publishing2011-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/17256Rodriguez Aguirre, Juan Manuel; Custidiano, Ernesto Ramon; Model of avascular tumor growth and response to low dose exposure; IOP Publishing; Journal of Physics: Conference Series; 332; 1; 12-2011; 1-71742-6588enginfo:eu-repo/semantics/altIdentifier/url/http://iopscience.iop.org/article/10.1088/1742-6596/332/1/012049info:eu-repo/semantics/altIdentifier/doi/10.1088/1742-6596/332/1/012049info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:52:22Zoai:ri.conicet.gov.ar:11336/17256instacron: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:34982025-09-03 09:52:22.937CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Model of avascular tumor growth and response to low dose exposure
title Model of avascular tumor growth and response to low dose exposure
spellingShingle Model of avascular tumor growth and response to low dose exposure
Rodriguez Aguirre, Juan Manuel
Radiation
Monte Carlo Simulation
Tumor
Numerical Simulation
title_short Model of avascular tumor growth and response to low dose exposure
title_full Model of avascular tumor growth and response to low dose exposure
title_fullStr Model of avascular tumor growth and response to low dose exposure
title_full_unstemmed Model of avascular tumor growth and response to low dose exposure
title_sort Model of avascular tumor growth and response to low dose exposure
dc.creator.none.fl_str_mv Rodriguez Aguirre, Juan Manuel
Custidiano, Ernesto Ramon
author Rodriguez Aguirre, Juan Manuel
author_facet Rodriguez Aguirre, Juan Manuel
Custidiano, Ernesto Ramon
author_role author
author2 Custidiano, Ernesto Ramon
author2_role author
dc.subject.none.fl_str_mv Radiation
Monte Carlo Simulation
Tumor
Numerical Simulation
topic Radiation
Monte Carlo Simulation
Tumor
Numerical Simulation
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.3
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv A single level cellular automata model is described and used to simulate early tumor growth, and the response of the tumor cells under low dose radiation affects. In this model the cell cycle of the population of normal and cancer cells is followed. The invasion mechanism of the tumor is simulated by a local factor that takes into account the microenvironment hardness to cell development, in a picture similar to the AMTIH model. The response of normal and cancer cells to direct effects of radiation is tested for various models and a model of bystander response is implemented.
Fil: Rodriguez Aguirre, Juan Manuel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste. Instituto de Modelado e Innovación Tecnológica. Universidad Nacional del Nordeste. Facultad de Ciencias Exactas Naturales y Agrimensura. Instituto de Modelado e Innovación Tecnologica; Argentina
Fil: Custidiano, Ernesto Ramon. Universidad Nacional del Nordeste. Facultad de Ciencias Exactas Naturales y Agrimensura. Departamento de Física; Argentina
description A single level cellular automata model is described and used to simulate early tumor growth, and the response of the tumor cells under low dose radiation affects. In this model the cell cycle of the population of normal and cancer cells is followed. The invasion mechanism of the tumor is simulated by a local factor that takes into account the microenvironment hardness to cell development, in a picture similar to the AMTIH model. The response of normal and cancer cells to direct effects of radiation is tested for various models and a model of bystander response is implemented.
publishDate 2011
dc.date.none.fl_str_mv 2011-12
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/11336/17256
Rodriguez Aguirre, Juan Manuel; Custidiano, Ernesto Ramon; Model of avascular tumor growth and response to low dose exposure; IOP Publishing; Journal of Physics: Conference Series; 332; 1; 12-2011; 1-7
1742-6588
url http://hdl.handle.net/11336/17256
identifier_str_mv Rodriguez Aguirre, Juan Manuel; Custidiano, Ernesto Ramon; Model of avascular tumor growth and response to low dose exposure; IOP Publishing; Journal of Physics: Conference Series; 332; 1; 12-2011; 1-7
1742-6588
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://iopscience.iop.org/article/10.1088/1742-6596/332/1/012049
info:eu-repo/semantics/altIdentifier/doi/10.1088/1742-6596/332/1/012049
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv IOP Publishing
publisher.none.fl_str_mv IOP Publishing
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 13.13397

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