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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/120716
Ver los metadatos del registro completo
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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 Técnicas2025-09-29T09:45:26Zoai: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:34982025-09-29 09:45:26.405CONICET 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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1844613424962600960 |
score |
13.070432 |