Comparison of 1D and 3D Models for the Estimation of Fractional Flow Reserve

Autores
Blanco, Pablo Javier; Bulant, Carlos Alberto; Müller, L. O.; Maso Talou, Gonzalo Daniel; Guedes Bezerra, C.; Lemos, P. L.; Feijóo, Raúl Antonino
Año de publicación
2018
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
In this work we propose to validate the predictive capabilities of one-dimensional (1D) blood flow models with full three-dimensional (3D) models in the context of patient-specific coronary hemodynamics in hyperemic conditions. Such conditions mimic the state of coronary circulation during the acquisition of the Fractional Flow Reserve (FFR) index. Demonstrating that 1D models accurately reproduce FFR estimates obtained with 3D models has implications in the approach to computationally estimate FFR. To this end, a sample of 20 patients was employed from which 29 3D geometries of arterial trees were constructed, 9 obtained from coronary computed tomography angiography (CCTA) and 20 from intra-vascular ultrasound (IVUS). For each 3D arterial model, a 1D counterpart was generated. The same outflow and inlet pressure boundary conditions were applied to both (3D and 1D) models. In the 1D setting, pressure losses at stenoses and bifurcations were accounted for through specific lumped models. Comparisons between 1D models (FFRd{1}) and 3D models (FFRd{3}) were performed in terms of predicted $ext{FFR}$ value. Compared to FFRd{3}, FFRd{1} resulted with a difference of 0.00$pm$0.03 and overall predictive capability AUC, Acc, Spe, Sen, PPV and NPV of 0.97, 0.98, 0.90, 0.99, 0.82, and 0.99, with an FFR threshold of 0.8. We conclude that inexpensive FFRd{1} simulations can be reliably used as a surrogate of demanding FFRd{3} computations.
Fil: Blanco, Pablo Javier. National Laboratory for Scientific Computing; Brasil
Fil: Bulant, Carlos Alberto. National Laboratory for Scientific Computing; Brasil. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil; Argentina
Fil: Müller, L. O.. National Laboratory for Scientific Computing; Brasil
Fil: Maso Talou, Gonzalo Daniel. National Laboratory for Scientific Computing; Brasil
Fil: Guedes Bezerra, C.. Universidade de Sao Paulo; Brasil
Fil: Lemos, P. L.. Universidade de Sao Paulo; Brasil
Fil: Feijóo, Raúl Antonino. National Laboratory for Scientific Computing; Brasil
Materia
BLOOD FLOW
FFR
1D MODEL
3D MODEL
STENOSIS
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/111630
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/111630
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Comparison of 1D and 3D Models for the Estimation of Fractional Flow ReserveBlanco, Pablo JavierBulant, Carlos AlbertoMüller, L. O.Maso Talou, Gonzalo DanielGuedes Bezerra, C.Lemos, P. L.Feijóo, Raúl AntoninoBLOOD FLOWFFR1D MODEL3D MODELSTENOSIShttps://purl.org/becyt/ford/2.6https://purl.org/becyt/ford/2https://purl.org/becyt/ford/1.1https://purl.org/becyt/ford/1In this work we propose to validate the predictive capabilities of one-dimensional (1D) blood flow models with full three-dimensional (3D) models in the context of patient-specific coronary hemodynamics in hyperemic conditions. Such conditions mimic the state of coronary circulation during the acquisition of the Fractional Flow Reserve (FFR) index. Demonstrating that 1D models accurately reproduce FFR estimates obtained with 3D models has implications in the approach to computationally estimate FFR. To this end, a sample of 20 patients was employed from which 29 3D geometries of arterial trees were constructed, 9 obtained from coronary computed tomography angiography (CCTA) and 20 from intra-vascular ultrasound (IVUS). For each 3D arterial model, a 1D counterpart was generated. The same outflow and inlet pressure boundary conditions were applied to both (3D and 1D) models. In the 1D setting, pressure losses at stenoses and bifurcations were accounted for through specific lumped models. Comparisons between 1D models (FFRd{1}) and 3D models (FFRd{3}) were performed in terms of predicted $ext{FFR}$ value. Compared to FFRd{3}, FFRd{1} resulted with a difference of 0.00$pm$0.03 and overall predictive capability AUC, Acc, Spe, Sen, PPV and NPV of 0.97, 0.98, 0.90, 0.99, 0.82, and 0.99, with an FFR threshold of 0.8. We conclude that inexpensive FFRd{1} simulations can be reliably used as a surrogate of demanding FFRd{3} computations.Fil: Blanco, Pablo Javier. National Laboratory for Scientific Computing; BrasilFil: Bulant, Carlos Alberto. National Laboratory for Scientific Computing; Brasil. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil; ArgentinaFil: Müller, L. O.. National Laboratory for Scientific Computing; BrasilFil: Maso Talou, Gonzalo Daniel. National Laboratory for Scientific Computing; BrasilFil: Guedes Bezerra, C.. Universidade de Sao Paulo; BrasilFil: Lemos, P. L.. Universidade de Sao Paulo; BrasilFil: Feijóo, Raúl Antonino. National Laboratory for Scientific Computing; BrasilNature Publishing Group2018-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/111630Blanco, Pablo Javier; Bulant, Carlos Alberto; Müller, L. O.; Maso Talou, Gonzalo Daniel; Guedes Bezerra, C.; et al.; Comparison of 1D and 3D Models for the Estimation of Fractional Flow Reserve; Nature Publishing Group; Scientific Reports; 8; 1; 11-2018; 1-192045-2322CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://www.nature.com/articles/s41598-018-35344-0info:eu-repo/semantics/altIdentifier/doi/10.1038/s41598-018-35344-0info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:39:26Zoai:ri.conicet.gov.ar:11336/111630instacron: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 09:39:27.215CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Comparison of 1D and 3D Models for the Estimation of Fractional Flow Reserve
title Comparison of 1D and 3D Models for the Estimation of Fractional Flow Reserve
spellingShingle Comparison of 1D and 3D Models for the Estimation of Fractional Flow Reserve
Blanco, Pablo Javier
BLOOD FLOW
FFR
1D MODEL
3D MODEL
STENOSIS
title_short Comparison of 1D and 3D Models for the Estimation of Fractional Flow Reserve
title_full Comparison of 1D and 3D Models for the Estimation of Fractional Flow Reserve
title_fullStr Comparison of 1D and 3D Models for the Estimation of Fractional Flow Reserve
title_full_unstemmed Comparison of 1D and 3D Models for the Estimation of Fractional Flow Reserve
title_sort Comparison of 1D and 3D Models for the Estimation of Fractional Flow Reserve
dc.creator.none.fl_str_mv Blanco, Pablo Javier
Bulant, Carlos Alberto
Müller, L. O.
Maso Talou, Gonzalo Daniel
Guedes Bezerra, C.
Lemos, P. L.
Feijóo, Raúl Antonino
author Blanco, Pablo Javier
author_facet Blanco, Pablo Javier
Bulant, Carlos Alberto
Müller, L. O.
Maso Talou, Gonzalo Daniel
Guedes Bezerra, C.
Lemos, P. L.
Feijóo, Raúl Antonino
author_role author
author2 Bulant, Carlos Alberto
Müller, L. O.
Maso Talou, Gonzalo Daniel
Guedes Bezerra, C.
Lemos, P. L.
Feijóo, Raúl Antonino
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv BLOOD FLOW
FFR
1D MODEL
3D MODEL
STENOSIS
topic BLOOD FLOW
FFR
1D MODEL
3D MODEL
STENOSIS
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.6
https://purl.org/becyt/ford/2
https://purl.org/becyt/ford/1.1
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv In this work we propose to validate the predictive capabilities of one-dimensional (1D) blood flow models with full three-dimensional (3D) models in the context of patient-specific coronary hemodynamics in hyperemic conditions. Such conditions mimic the state of coronary circulation during the acquisition of the Fractional Flow Reserve (FFR) index. Demonstrating that 1D models accurately reproduce FFR estimates obtained with 3D models has implications in the approach to computationally estimate FFR. To this end, a sample of 20 patients was employed from which 29 3D geometries of arterial trees were constructed, 9 obtained from coronary computed tomography angiography (CCTA) and 20 from intra-vascular ultrasound (IVUS). For each 3D arterial model, a 1D counterpart was generated. The same outflow and inlet pressure boundary conditions were applied to both (3D and 1D) models. In the 1D setting, pressure losses at stenoses and bifurcations were accounted for through specific lumped models. Comparisons between 1D models (FFRd{1}) and 3D models (FFRd{3}) were performed in terms of predicted $ext{FFR}$ value. Compared to FFRd{3}, FFRd{1} resulted with a difference of 0.00$pm$0.03 and overall predictive capability AUC, Acc, Spe, Sen, PPV and NPV of 0.97, 0.98, 0.90, 0.99, 0.82, and 0.99, with an FFR threshold of 0.8. We conclude that inexpensive FFRd{1} simulations can be reliably used as a surrogate of demanding FFRd{3} computations.
Fil: Blanco, Pablo Javier. National Laboratory for Scientific Computing; Brasil
Fil: Bulant, Carlos Alberto. National Laboratory for Scientific Computing; Brasil. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil; Argentina
Fil: Müller, L. O.. National Laboratory for Scientific Computing; Brasil
Fil: Maso Talou, Gonzalo Daniel. National Laboratory for Scientific Computing; Brasil
Fil: Guedes Bezerra, C.. Universidade de Sao Paulo; Brasil
Fil: Lemos, P. L.. Universidade de Sao Paulo; Brasil
Fil: Feijóo, Raúl Antonino. National Laboratory for Scientific Computing; Brasil
description In this work we propose to validate the predictive capabilities of one-dimensional (1D) blood flow models with full three-dimensional (3D) models in the context of patient-specific coronary hemodynamics in hyperemic conditions. Such conditions mimic the state of coronary circulation during the acquisition of the Fractional Flow Reserve (FFR) index. Demonstrating that 1D models accurately reproduce FFR estimates obtained with 3D models has implications in the approach to computationally estimate FFR. To this end, a sample of 20 patients was employed from which 29 3D geometries of arterial trees were constructed, 9 obtained from coronary computed tomography angiography (CCTA) and 20 from intra-vascular ultrasound (IVUS). For each 3D arterial model, a 1D counterpart was generated. The same outflow and inlet pressure boundary conditions were applied to both (3D and 1D) models. In the 1D setting, pressure losses at stenoses and bifurcations were accounted for through specific lumped models. Comparisons between 1D models (FFRd{1}) and 3D models (FFRd{3}) were performed in terms of predicted $ext{FFR}$ value. Compared to FFRd{3}, FFRd{1} resulted with a difference of 0.00$pm$0.03 and overall predictive capability AUC, Acc, Spe, Sen, PPV and NPV of 0.97, 0.98, 0.90, 0.99, 0.82, and 0.99, with an FFR threshold of 0.8. We conclude that inexpensive FFRd{1} simulations can be reliably used as a surrogate of demanding FFRd{3} computations.
publishDate 2018
dc.date.none.fl_str_mv 2018-11
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/11336/111630
Blanco, Pablo Javier; Bulant, Carlos Alberto; Müller, L. O.; Maso Talou, Gonzalo Daniel; Guedes Bezerra, C.; et al.; Comparison of 1D and 3D Models for the Estimation of Fractional Flow Reserve; Nature Publishing Group; Scientific Reports; 8; 1; 11-2018; 1-19
2045-2322
CONICET Digital
CONICET
url http://hdl.handle.net/11336/111630
identifier_str_mv Blanco, Pablo Javier; Bulant, Carlos Alberto; Müller, L. O.; Maso Talou, Gonzalo Daniel; Guedes Bezerra, C.; et al.; Comparison of 1D and 3D Models for the Estimation of Fractional Flow Reserve; Nature Publishing Group; Scientific Reports; 8; 1; 11-2018; 1-19
2045-2322
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.nature.com/articles/s41598-018-35344-0
info:eu-repo/semantics/altIdentifier/doi/10.1038/s41598-018-35344-0
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Nature Publishing Group
publisher.none.fl_str_mv Nature Publishing Group
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 13.070432

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