Cardiac reversible growth & remodeling model: predicting and understanding the chronic effects of bioinjection therapy

Lik Chuan Lee (1) , Martin Genet (2) , Jonathan Wenk (3) , Joakim Sundnes (4) , Samuel Wall (4)

1 Michigan State University [East Lansing]
2 IBT - Institute for Biomedical Engineering [ETH Zürich]
3 UK - University of Kentucky
4 SRL - Simula Research Laboratory [Lysaker]

Computational modeling has increasingly been used to elucidate the effects of heart failure (HF) treatments. Most such models are, however, confined to simulating the acute treatment effects, and do not directly simulate the effects of chronic LV re-modeling (and reverse remodeling). Since left ventricular (LV) remodeling and reverse remodeling are hallmarks of many cardiac diseases and favorable response to HF treatments, the ability to simulate and predict these chronic effects would have significant impact on the use of computational modeling for patient care. Here, we apply a recently proposed reversible cardiac vol-umetric growth model [1] to simulate and predict the chronic effects of an emerging bioinjection therapy that is intended to stiffen the infarct [2].

Domaines: Biomécanique [physics.med-ph]

Lik Chuan Lee, Martin Genet, Jonathan Wenk, Joakim Sundnes, Samuel Wall. Cardiac reversible growth & remodeling model: predicting and understanding the chronic effects of bioinjection therapy. Summer Biomechanics, Bioengineering and Biotransport Conference (SB3C2015), Jun 2015, Snowbird Resort, United States. ⟨hal-01571504⟩