4.5 Article

A computational model that predicts reverse growth in response to mechanical unloading

Journal

BIOMECHANICS AND MODELING IN MECHANOBIOLOGY
Volume 14, Issue 2, Pages 217-229

Publisher

SPRINGER HEIDELBERG
DOI: 10.1007/s10237-014-0598-0

Keywords

Remodeling; Reverse remodeling; Growth; End-diastolic pressure-volume relationship; Finite element method; Magnetic resonance imaging

Funding

  1. NIH [R01-HL-077921, R01-HL-118627, K25-NS058573-05]
  2. NSF [0952021, 1233054]
  3. Marie Curie international outgoing fellowship within the 7th European Community Framework Program
  4. Div Of Civil, Mechanical, & Manufact Inn
  5. Directorate For Engineering [1233054, 0952021] Funding Source: National Science Foundation

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Ventricular growth is widely considered to be an important feature in the adverse progression of heart diseases, whereas reverse ventricular growth (or reverse remodeling) is often considered to be a favorable response to clinical intervention. In recent years, a number of theoretical models have been proposed to model the process of ventricular growth while little has been done to model its reverse. Based on the framework of volumetric strain-driven finite growth with a homeostatic equilibrium range for the elastic myofiber stretch, we propose here a reversible growth model capable of describing both ventricular growth and its reversal. We used this model to construct a semi-analytical solution based on an idealized cylindrical tube model, as well as numerical solutions based on a truncated ellipsoidal model and a human left ventricular model that was reconstructed from magnetic resonance images. We show that our model is able to predict key features in the end-diastolic pressure-volume relationship that were observed experimentally and clinically during ventricular growth and reverse growth. We also show that the residual stress fields generated as a result of differential growth in the cylindrical tube model are similar to those in other nonidentical models utilizing the same geometry.

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