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Computational modelling of the cardiovascular system for the non-invasive diagnosis of portal hypertension

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dc.contributor.author Villanueva, M. Inmaculada
dc.contributor.author García Cañadilla, Patricia, 1985-
dc.contributor.author Camara, Oscar
dc.contributor.author Garcia-Criado, Angeles
dc.contributor.author Campreciós, Genís
dc.contributor.author Perez-Campuzano, Valeria
dc.contributor.author Hernandez-Gea, Virgina
dc.contributor.author Turon, Fanny
dc.contributor.author Baiges Aznar, Anna
dc.contributor.author Lopez Sainz, Angela
dc.contributor.author García-Pagan, Juan Carlos
dc.contributor.author Bijnens, Bart
dc.contributor.author Bernardino Perez, Gabriel
dc.date.accessioned 2024-03-01T07:32:41Z
dc.date.issued 2023
dc.identifier.citation Villanueva MI, García Cañadilla P, Camara O, Garcia-Criado A, Camprecios G, Perez-Campuzano V, et al. Computational modelling of the cardiovascular system for the non-invasive diagnosis of portal hypertension. In: Bernard O, Clarysse P, Duchateau N, Ohayon J, Viallon M, eds. 12th International Conference, Functional Imaging and Modeling of the Heart, FIMH 2023; 2023 June 19-22; Lyon, France. Cham: Springer; 2023. p. 465-74. DOI: 10.1007/978-3-031-35302-4_48
dc.identifier.issn 0302-9743
dc.identifier.uri http://hdl.handle.net/10230/59302
dc.description Comunicació presentada a 12th International Conference, FIMH 2023, celebrada del 19 al 22 de juny de 2023 a Lió, França.
dc.description.abstract Cirrhosis is a prevalent chronic liver disease that causes scarring of the liver, leading to altered mechanics and impaired function. One of its most severe complications is portal hypertension, characterised by an increase in portal vein pressure, associated with abnormal blood flow dynamics. Portal hypertension is usually diagnosed by measuring the hepatic venous pressure gradient (HVPG) through invasive catheterisation. Computational models can help to understand the causes of observed phenomena and assess certain variables that are challenging to measure without invasive procedures. Therefore, the aim of this study was to use a 0D model of the cardiovascular system to study portal hypertension and its haemodynamic effects in the circulation. A sensitivity analysis was conducted to assess the impact of different variables on the model. In addition, the model was personalised based on hepatic Doppler waveforms from two patients, one with elevated HVPG (and cirrhosis) and the other with normal HVPG (and hepatitis). The model-based haemodynamic parameters were compared to the invasive haemodynamic measurements. This study provides insight into how cirrhosis alters haemodynamics and demonstrates the potential of employing computational models of the cardiovascular system to understand haemodynamic changes in individual patients.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher Springer
dc.relation.ispartof Bernard O, Clarysse P, Duchateau N, Ohayon J, Viallon M, eds. 12th International Conference, Functional Imaging and Modeling of the Heart, FIMH 2023; 2023 June 19-22; Lyon, France. Cham: Springer; 2023. p. 465-74.
dc.rights © Springer This is a author's accepted manuscript of: Villanueva MI, García Cañadilla P, Camara O, Garcia-Criado A, Camprecios G; Perez-Campuzano, V, et al. Computational Modelling of the Cardiovascular System for the Non-invasive Diagnosis of Portal Hypertension. In: 12th International Conference, Functional Imaging and Modeling of the Heart, FIMH 2023; 2023 June 19-22; Lyon, France. Cham: Springer; 2023. p. 465-74. DOI: 10.1007/978-3-031-35302-4_48
dc.title Computational modelling of the cardiovascular system for the non-invasive diagnosis of portal hypertension
dc.type info:eu-repo/semantics/conferenceObject
dc.identifier.doi http://dx.doi.org/10.1007/978-3-031-35302-4_48
dc.subject.keyword 0D cardiovascular model
dc.subject.keyword Adult cardiology
dc.subject.keyword Cirrhosis
dc.subject.keyword Doppler ultrasound
dc.subject.keyword Optimisation
dc.subject.keyword Portal hypertension
dc.rights.accessRights info:eu-repo/semantics/embargoedAccess
dc.type.version info:eu-repo/semantics/acceptedVersion
dc.embargo.liftdate 2024-06-30
dc.date.embargoEnd info:eu-repo/date/embargoEnd/2024-06-30


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