Literature DB >> 15550528

Adaptation to mechanical load determines shape and properties of heart and circulation: the CircAdapt model.

Theo Arts1, Tammo Delhaas, Peter Bovendeerd, Xander Verbeek, Frits W Prinzen.   

Abstract

With circulatory pathology, patient-specific simulation of hemodynamics is required to minimize invasiveness for diagnosis, treatment planning, and followup. We investigated the advantages of a smart combination of often already known hemodynamic principles. The CircAdapt model was designed to simulate beat-to-beat dynamics of the four-chamber heart with systemic and pulmonary circulation while incorporating a realistic relation between pressure-volume load and tissue mechanics and adaptation of tissues to mechanical load. Adaptation was modeled by rules, where a locally sensed signal results in a local action of the tissue. The applied rules were as follows: For blood vessel walls, 1) flow shear stress dilates the wall and 2) tensile stress thickens the wall; for myocardial tissue, 3) strain dilates the wall material, 4) larger maximum sarcomere length increases contractility, and 5) contractility increases wall mass. The circulation was composed of active and passive compliances and inertias. A realistic circulation developed by self-structuring through adaptation provided mean levels of systemic pressure and flow. Ability to simulate a wide variety of patient-specific circumstances was demonstrated by application of the same adaptation rules to the conditions of fetal circulation followed by a switch to the newborn circulation around birth. It was concluded that a few adaptation rules, directed to normalize mechanical load of the tissue, were sufficient to develop and maintain a realistic circulation automatically. Adaptation rules appear to be the key to reduce dramatically the number of input parameters for simulating circulation dynamics. The model may be used to simulate circulation pathology and to predict effects of treatment.

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Year:  2004        PMID: 15550528     DOI: 10.1152/ajpheart.00444.2004

Source DB:  PubMed          Journal:  Am J Physiol Heart Circ Physiol        ISSN: 0363-6135            Impact factor:   4.733


  65 in total

1.  Computational modeling of cardiac growth in the post-natal rat with a strain-based growth law.

Authors:  Roy C P Kerckhoffs
Journal:  J Biomech       Date:  2011-12-12       Impact factor: 2.712

2.  Advances in semantic representation for multiscale biosimulation: a case study in merging models.

Authors:  Maxwell Lewis Neal; John H Gennari; Theo Arts; Daniel L Cook
Journal:  Pac Symp Biocomput       Date:  2009

Review 3.  Cardiac resynchronization: insight from experimental and computational models.

Authors:  R C P Kerckhoffs; J Lumens; K Vernooy; J H Omens; L J Mulligan; T Delhaas; T Arts; A D McCulloch; F W Prinzen
Journal:  Prog Biophys Mol Biol       Date:  2008-03-05       Impact factor: 3.667

4.  Mechanical discoordination increases continuously after the onset of left bundle branch block despite constant electrical dyssynchrony in a computational model of cardiac electromechanics and growth.

Authors:  Roy C P Kerckhoffs; Jeffrey H Omens; Andrew D McCulloch
Journal:  Europace       Date:  2012-11       Impact factor: 5.214

5.  A framework for biomechanics simulations using four-chamber cardiac models.

Authors:  Arian Jafari; Edward Pszczolkowski; Adarsh Krishnamurthy
Journal:  J Biomech       Date:  2019-05-21       Impact factor: 2.712

6.  Comparative electromechanical and hemodynamic effects of left ventricular and biventricular pacing in dyssynchronous heart failure: electrical resynchronization versus left-right ventricular interaction.

Authors:  Joost Lumens; Sylvain Ploux; Marc Strik; John Gorcsan; Hubert Cochet; Nicolas Derval; Maria Strom; Charu Ramanathan; Philippe Ritter; Michel Haïssaguerre; Pierre Jaïs; Theo Arts; Tammo Delhaas; Frits W Prinzen; Pierre Bordachar
Journal:  J Am Coll Cardiol       Date:  2013-09-04       Impact factor: 24.094

7.  Optimization Framework for Patient-Specific Cardiac Modeling.

Authors:  Joshua Mineroff; Andrew D McCulloch; David Krummen; Baskar Ganapathysubramanian; Adarsh Krishnamurthy
Journal:  Cardiovasc Eng Technol       Date:  2019-09-17       Impact factor: 2.495

8.  Current computational models do not reveal the importance of the nervous system in long-term control of arterial pressure.

Authors:  John W Osborn; Viktoria A Averina; Gregory D Fink
Journal:  Exp Physiol       Date:  2009-04       Impact factor: 2.969

9.  Three-wall segment (TriSeg) model describing mechanics and hemodynamics of ventricular interaction.

Authors:  Joost Lumens; Tammo Delhaas; Borut Kirn; Theo Arts
Journal:  Ann Biomed Eng       Date:  2009-08-29       Impact factor: 3.934

Review 10.  Clinical Applications of Patient-Specific Models: The Case for a Simple Approach.

Authors:  Jeffrey W Holmes; Joost Lumens
Journal:  J Cardiovasc Transl Res       Date:  2018-02-16       Impact factor: 4.132

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