Parameter estimation to study the immediate impact of aortic cross-clamping using reduced order models

Autores
Ventre, Jeanne; Politi, Teresa; Fernández, Juan M.; Ghigo, Arthur R.; Gaudric, Julien; Wray, Sandra; Lagaert, Jean Baptiste; Armentano, Ricardo Luis; Capurro, Claudia Graciela; Fullana, José Maria; Lagrée, Pierre Yves
Año de publicación
2019
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Aortic cross-clamping is a common strategy during vascular surgery, however, its instantaneous impact on hemodynamics is unknown. We, therefore, developed two numerical models to estimate the immediate impact of aortic clamping on the vascular properties. To assess the validity of the models, we recorded continuous invasive pressure signals during abdominal aneurysm repair surgery, immediately before and after clamping. The first model is a zero-dimensional (0D) three-element Windkessel model, which we coupled to a gradient-based parameter estimation algorithm to identify patient-specific parameters such as vascular resistance and compliance. We found a 10% increase in the total resistance and a 20% decrease in the total compliance after clamping. The second model is a nine-artery network corresponding to an average human body in which we solved the one-dimensional (1D) blood flow equations. With a similar parameter estimation method and using the results from the 0D model, we identified the resistance boundary conditions of the 1D network. Determining the patient-specific total resistance and the distribution of peripheral resistances through the parameter estimation process was sufficient for the 1D model to accurately reproduce the impact of clamping on the pressure waveform. Both models gave an accurate description of the pressure wave and had a high correlation (R2 >.95) with experimental blood pressure data.
Fil: Ventre, Jeanne. Centre National de la Recherche Scientifique; Francia
Fil: Politi, Teresa. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Fisiología y Biofísica Bernardo Houssay. Universidad de Buenos Aires. Facultad de Medicina. Instituto de Fisiología y Biofísica Bernardo Houssay; Argentina
Fil: Fernández, Juan M.. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Fisiología y Biofísica Bernardo Houssay. Universidad de Buenos Aires. Facultad de Medicina. Instituto de Fisiología y Biofísica Bernardo Houssay; Argentina
Fil: Ghigo, Arthur R.. Université de Toulouse; Francia
Fil: Gaudric, Julien. Centre National de la Recherche Scientifique; Francia. Université de Toulouse; Francia
Fil: Wray, Sandra. Universidad Favaloro; Argentina
Fil: Lagaert, Jean Baptiste. Université Paris Sud; Francia
Fil: Armentano, Ricardo Luis. Universidad de la República; Uruguay
Fil: Capurro, Claudia Graciela. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Fisiología y Biofísica Bernardo Houssay. Universidad de Buenos Aires. Facultad de Medicina. Instituto de Fisiología y Biofísica Bernardo Houssay; Argentina
Fil: Fullana, José Maria. Centre National de la Recherche Scientifique; Francia
Fil: Lagrée, Pierre Yves. Centre National de la Recherche Scientifique; Francia
Materia
0D MODEL
1D MODEL
CLAMPING
INVERSE PROBLEM
PARAMETER ESTIMATION
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:11336/120716
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/120716
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Parameter estimation to study the immediate impact of aortic cross-clamping using reduced order modelsVentre, JeannePoliti, TeresaFernández, Juan M.Ghigo, Arthur R.Gaudric, JulienWray, SandraLagaert, Jean BaptisteArmentano, Ricardo LuisCapurro, Claudia GracielaFullana, José MariaLagrée, Pierre Yves0D MODEL1D MODELCLAMPINGINVERSE PROBLEMPARAMETER ESTIMATIONhttps://purl.org/becyt/ford/3.1https://purl.org/becyt/ford/3Aortic cross-clamping is a common strategy during vascular surgery, however, its instantaneous impact on hemodynamics is unknown. We, therefore, developed two numerical models to estimate the immediate impact of aortic clamping on the vascular properties. To assess the validity of the models, we recorded continuous invasive pressure signals during abdominal aneurysm repair surgery, immediately before and after clamping. The first model is a zero-dimensional (0D) three-element Windkessel model, which we coupled to a gradient-based parameter estimation algorithm to identify patient-specific parameters such as vascular resistance and compliance. We found a 10% increase in the total resistance and a 20% decrease in the total compliance after clamping. The second model is a nine-artery network corresponding to an average human body in which we solved the one-dimensional (1D) blood flow equations. With a similar parameter estimation method and using the results from the 0D model, we identified the resistance boundary conditions of the 1D network. Determining the patient-specific total resistance and the distribution of peripheral resistances through the parameter estimation process was sufficient for the 1D model to accurately reproduce the impact of clamping on the pressure waveform. Both models gave an accurate description of the pressure wave and had a high correlation (R2 >.95) with experimental blood pressure data.Fil: Ventre, Jeanne. Centre National de la Recherche Scientifique; FranciaFil: Politi, Teresa. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Fisiología y Biofísica Bernardo Houssay. Universidad de Buenos Aires. Facultad de Medicina. Instituto de Fisiología y Biofísica Bernardo Houssay; ArgentinaFil: Fernández, Juan M.. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Fisiología y Biofísica Bernardo Houssay. Universidad de Buenos Aires. Facultad de Medicina. Instituto de Fisiología y Biofísica Bernardo Houssay; ArgentinaFil: Ghigo, Arthur R.. Université de Toulouse; FranciaFil: Gaudric, Julien. Centre National de la Recherche Scientifique; Francia. Université de Toulouse; FranciaFil: Wray, Sandra. Universidad Favaloro; ArgentinaFil: Lagaert, Jean Baptiste. Université Paris Sud; FranciaFil: Armentano, Ricardo Luis. Universidad de la República; UruguayFil: Capurro, Claudia Graciela. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Fisiología y Biofísica Bernardo Houssay. Universidad de Buenos Aires. Facultad de Medicina. Instituto de Fisiología y Biofísica Bernardo Houssay; ArgentinaFil: Fullana, José Maria. Centre National de la Recherche Scientifique; FranciaFil: Lagrée, Pierre Yves. Centre National de la Recherche Scientifique; FranciaWiley Blackwell Publishing, Inc2019-10-16info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/120716Ventre, Jeanne; Politi, Teresa; Fernández, Juan M.; Ghigo, Arthur R.; Gaudric, Julien; et al.; Parameter estimation to study the immediate impact of aortic cross-clamping using reduced order models; Wiley Blackwell Publishing, Inc; International Journal for Numerical Methods in Biomedical Engineering; 16-10-2019; 1-222040-7939CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1002/cnm.3261info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T11:14:16Zoai:ri.conicet.gov.ar:11336/120716instacron: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:34982025-10-22 11:14:16.329CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Parameter estimation to study the immediate impact of aortic cross-clamping using reduced order models
title Parameter estimation to study the immediate impact of aortic cross-clamping using reduced order models
spellingShingle Parameter estimation to study the immediate impact of aortic cross-clamping using reduced order models
Ventre, Jeanne
0D MODEL
1D MODEL
CLAMPING
INVERSE PROBLEM
PARAMETER ESTIMATION
title_short Parameter estimation to study the immediate impact of aortic cross-clamping using reduced order models
title_full Parameter estimation to study the immediate impact of aortic cross-clamping using reduced order models
title_fullStr Parameter estimation to study the immediate impact of aortic cross-clamping using reduced order models
title_full_unstemmed Parameter estimation to study the immediate impact of aortic cross-clamping using reduced order models
title_sort Parameter estimation to study the immediate impact of aortic cross-clamping using reduced order models
dc.creator.none.fl_str_mv Ventre, Jeanne
Politi, Teresa
Fernández, Juan M.
Ghigo, Arthur R.
Gaudric, Julien
Wray, Sandra
Lagaert, Jean Baptiste
Armentano, Ricardo Luis
Capurro, Claudia Graciela
Fullana, José Maria
Lagrée, Pierre Yves
author Ventre, Jeanne
author_facet Ventre, Jeanne
Politi, Teresa
Fernández, Juan M.
Ghigo, Arthur R.
Gaudric, Julien
Wray, Sandra
Lagaert, Jean Baptiste
Armentano, Ricardo Luis
Capurro, Claudia Graciela
Fullana, José Maria
Lagrée, Pierre Yves
author_role author
author2 Politi, Teresa
Fernández, Juan M.
Ghigo, Arthur R.
Gaudric, Julien
Wray, Sandra
Lagaert, Jean Baptiste
Armentano, Ricardo Luis
Capurro, Claudia Graciela
Fullana, José Maria
Lagrée, Pierre Yves
author2_role author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv 0D MODEL
1D MODEL
CLAMPING
INVERSE PROBLEM
PARAMETER ESTIMATION
topic 0D MODEL
1D MODEL
CLAMPING
INVERSE PROBLEM
PARAMETER ESTIMATION
purl_subject.fl_str_mv https://purl.org/becyt/ford/3.1
https://purl.org/becyt/ford/3
dc.description.none.fl_txt_mv Aortic cross-clamping is a common strategy during vascular surgery, however, its instantaneous impact on hemodynamics is unknown. We, therefore, developed two numerical models to estimate the immediate impact of aortic clamping on the vascular properties. To assess the validity of the models, we recorded continuous invasive pressure signals during abdominal aneurysm repair surgery, immediately before and after clamping. The first model is a zero-dimensional (0D) three-element Windkessel model, which we coupled to a gradient-based parameter estimation algorithm to identify patient-specific parameters such as vascular resistance and compliance. We found a 10% increase in the total resistance and a 20% decrease in the total compliance after clamping. The second model is a nine-artery network corresponding to an average human body in which we solved the one-dimensional (1D) blood flow equations. With a similar parameter estimation method and using the results from the 0D model, we identified the resistance boundary conditions of the 1D network. Determining the patient-specific total resistance and the distribution of peripheral resistances through the parameter estimation process was sufficient for the 1D model to accurately reproduce the impact of clamping on the pressure waveform. Both models gave an accurate description of the pressure wave and had a high correlation (R2 >.95) with experimental blood pressure data.
Fil: Ventre, Jeanne. Centre National de la Recherche Scientifique; Francia
Fil: Politi, Teresa. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Fisiología y Biofísica Bernardo Houssay. Universidad de Buenos Aires. Facultad de Medicina. Instituto de Fisiología y Biofísica Bernardo Houssay; Argentina
Fil: Fernández, Juan M.. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Fisiología y Biofísica Bernardo Houssay. Universidad de Buenos Aires. Facultad de Medicina. Instituto de Fisiología y Biofísica Bernardo Houssay; Argentina
Fil: Ghigo, Arthur R.. Université de Toulouse; Francia
Fil: Gaudric, Julien. Centre National de la Recherche Scientifique; Francia. Université de Toulouse; Francia
Fil: Wray, Sandra. Universidad Favaloro; Argentina
Fil: Lagaert, Jean Baptiste. Université Paris Sud; Francia
Fil: Armentano, Ricardo Luis. Universidad de la República; Uruguay
Fil: Capurro, Claudia Graciela. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Fisiología y Biofísica Bernardo Houssay. Universidad de Buenos Aires. Facultad de Medicina. Instituto de Fisiología y Biofísica Bernardo Houssay; Argentina
Fil: Fullana, José Maria. Centre National de la Recherche Scientifique; Francia
Fil: Lagrée, Pierre Yves. Centre National de la Recherche Scientifique; Francia
description Aortic cross-clamping is a common strategy during vascular surgery, however, its instantaneous impact on hemodynamics is unknown. We, therefore, developed two numerical models to estimate the immediate impact of aortic clamping on the vascular properties. To assess the validity of the models, we recorded continuous invasive pressure signals during abdominal aneurysm repair surgery, immediately before and after clamping. The first model is a zero-dimensional (0D) three-element Windkessel model, which we coupled to a gradient-based parameter estimation algorithm to identify patient-specific parameters such as vascular resistance and compliance. We found a 10% increase in the total resistance and a 20% decrease in the total compliance after clamping. The second model is a nine-artery network corresponding to an average human body in which we solved the one-dimensional (1D) blood flow equations. With a similar parameter estimation method and using the results from the 0D model, we identified the resistance boundary conditions of the 1D network. Determining the patient-specific total resistance and the distribution of peripheral resistances through the parameter estimation process was sufficient for the 1D model to accurately reproduce the impact of clamping on the pressure waveform. Both models gave an accurate description of the pressure wave and had a high correlation (R2 >.95) with experimental blood pressure data.
publishDate 2019
dc.date.none.fl_str_mv 2019-10-16
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/11336/120716
Ventre, Jeanne; Politi, Teresa; Fernández, Juan M.; Ghigo, Arthur R.; Gaudric, Julien; et al.; Parameter estimation to study the immediate impact of aortic cross-clamping using reduced order models; Wiley Blackwell Publishing, Inc; International Journal for Numerical Methods in Biomedical Engineering; 16-10-2019; 1-22
2040-7939
CONICET Digital
CONICET
url http://hdl.handle.net/11336/120716
identifier_str_mv Ventre, Jeanne; Politi, Teresa; Fernández, Juan M.; Ghigo, Arthur R.; Gaudric, Julien; et al.; Parameter estimation to study the immediate impact of aortic cross-clamping using reduced order models; Wiley Blackwell Publishing, Inc; International Journal for Numerical Methods in Biomedical Engineering; 16-10-2019; 1-22
2040-7939
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1002/cnm.3261
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 Wiley Blackwell Publishing, Inc
publisher.none.fl_str_mv Wiley Blackwell Publishing, Inc
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 12.982451

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