Literature DB >> 30188608

Kinematic boundary conditions substantially impact in silico ventricular function.

Mathias Peirlinck1, Kevin L Sack2,3, Pieter De Backer4, Pedro Morais5, Patrick Segers1, Thomas Franz3,6, Matthieu De Beule1,7.   

Abstract

Computational cardiac mechanical models, individualized to the patient, have the potential to elucidate the fundamentals of cardiac (patho-)physiology, enable non-invasive quantification of clinically significant metrics (eg, stiffness, active contraction, work), and anticipate the potential efficacy of therapeutic cardiovascular intervention. In a clinical setting, however, the available imaging resolution is often limited, which limits cardiac models to focus on the ventricles, without including the atria, valves, and proximal arteries and veins. In such models, the absence of surrounding structures needs to be accounted for by imposing realistic kinematic boundary conditions, which, for prognostic purposes, are preferably generic and thus non-image derived. Unfortunately, the literature on cardiac models shows no consistent approach to kinematically constrain the myocardium. The impact of different approaches (eg, fully constrained base, constrained epi-ring) on the predictive capacity of cardiac mechanical models has not been thoroughly studied. For that reason, this study first gives an overview of current approaches to kinematically constrain (bi) ventricular models. Next, we developed a patient-specific in silico biventricular model that compares well with literature and in vivo recorded strains. Alternative constraints were introduced to assess the influence of commonly used mechanical boundary conditions on both the predicted global functional behavior of the in-silico heart (cavity volumes, stroke volume, ejection fraction) and local strain distributions. Meaningful differences in global functioning were found between different kinematic anchoring strategies, which brought forward the importance of selecting appropriate boundary conditions for biventricular models that, in the near future, may inform clinical intervention. However, whilst statistically significant differences were also found in local strain distributions, these differences were minor and mostly confined to the region close to the applied boundary conditions.
© 2018 John Wiley & Sons, Ltd.

Entities:  

Keywords:  boundary conditions; cardiac mechanics; finite element analysis; in vivo strains; patient specific; ventricular modeling

Year:  2018        PMID: 30188608     DOI: 10.1002/cnm.3151

Source DB:  PubMed          Journal:  Int J Numer Method Biomed Eng        ISSN: 2040-7939            Impact factor:   2.747


  3 in total

1.  A Poroelastic Approach for Modelling Myocardial Oedema in Acute Myocarditis.

Authors:  Wesley de Jesus Lourenço; Ruy Freitas Reis; Ricardo Ruiz-Baier; Bernardo Martins Rocha; Rodrigo Weber Dos Santos; Marcelo Lobosco
Journal:  Front Physiol       Date:  2022-07-04       Impact factor: 4.755

2.  Simulating ventricular systolic motion in a four-chamber heart model with spatially varying robin boundary conditions to model the effect of the pericardium.

Authors:  Marina Strocchi; Matthias A F Gsell; Christoph M Augustin; Orod Razeghi; Caroline H Roney; Anton J Prassl; Edward J Vigmond; Jonathan M Behar; Justin S Gould; Christopher A Rinaldi; Martin J Bishop; Gernot Plank; Steven A Niederer
Journal:  J Biomech       Date:  2020-01-21       Impact factor: 2.712

Review 3.  Precision medicine in human heart modeling : Perspectives, challenges, and opportunities.

Authors:  M Peirlinck; F Sahli Costabal; J Yao; J M Guccione; S Tripathy; Y Wang; D Ozturk; P Segars; T M Morrison; S Levine; E Kuhl
Journal:  Biomech Model Mechanobiol       Date:  2021-02-12
  3 in total

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