Key result
Combined in vitro and in vivo optimization outperforms isolated approaches in capturing myocardial mechanical behaviors.
Why the study?
Myocardium passive mechanical response has a major impact on cardiac physiology, motivating a novel modeling methodology to integrate in vivo and in vitro data to estimate tissue mechanical parameters.
A novel combined in vivo and in vitro optimization approach provides a more accurate framework for characterizing myocardial mechanical behavior in porcine models.
May refine preclinical myocardial modeling in porcine studies; leaves open human translation pending prospective validation.
Myocardium passive mechanical response has been a major topic of study for decades due to its major impact on cardiac physiology. Here, we propose a novel modeling methodology that integrates both in vivo and in vitro data to estimate the tissue mechanical parameters for a particular orthotropic hyperelastic model as those proposed by Costa and by Holzapfel & Ogden, although it can be easily extended to any other. In vitro biaxial and triaxial shear extension tests were conducted in biopsied samples and in vivo pressure-volume recordings were obtained. Left ventricle (LV) geometry was reconstructed using magnetic resonance imaging (MRI) and pressure gradients during ventricular inflation were recorded with the Catheter Conductance Method (CCM). Finally, a Finite Element (FE) in vivo LV model was implemented to get the material model parameters using an inverse approach that uses a minimization process combining both the in vivo and in vitro available data. Our results demonstrate that the parameters obtained solely from in vitro testing (IVT), or from in vivo passive inflation (IVV) do not provide satisfactory fits for both responses simultaneously (R2IVTtests=0.977,R2IVTPV=0.697 and R2IVVtests=0.687,R2IVVPV=0.995). On the contrary, the proposed combined in vitro & in vivo optimization process (MIN) converges to a solution that effectively captures both the in vivo and in vitro behaviors (R2MINtests=0.815,R2MINPV=0.992). Thus, this novel combined approach offers a comprehensive framework for accurately characterizing myocardial mechanical behavior. The obtained parameters can serve as a basis for further cardiac simulations and contribute to a better understanding of cardiac mechanics and function.
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Laita et al. (2023) studied Myocardium passive mechanical response. Combined in vitro & in vivo optimization process vs. Isolated in vitro testing or in vivo passive inflation was evaluated on Fit for both in vivo and in vitro responses simultaneously (R2). A combined in vitro and in vivo optimization process effectively captured both in vivo and in vitro myocardial mechanical behaviors (R2MINtests=0.815, R2MINPV=0.992), outperforming isolated approaches.
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