A multiscale model of the cardiovascular system that regulates arterial pressure via closed loop baroreflex control of chronotropism, cell-level contractility, and vascular tone

Mirzaei, Hossein; Mann, Charles K.; Wenk, Jonathan F.; Campbell, Kenneth S.

doi:10.1007/s10237-022-01628-8

Cited by 3 publications

(2 citation statements)

References 39 publications

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“…Although multiple cardiac mechanics models used are already multiscale, there are still several relevant processes that are not being routinely included in these studies, namely, the link to other organs, perfusion, and energetics. In this regard, the recent work by Sharifi et al [ 225 ] is notable, where the authors were able to mimic important features of the physiological baroreflex, one of the body’s homeostatic mechanisms that helps to maintain blood pressure at nearly constant levels. Regarding perfusion, the process linking the circulatory system with the myocardium, Zingaro et al [ 226 ] recently presented a mechanics model linking cardiac mechanics with perfusion.…”

Section: Discussionmentioning

confidence: 99%

“…Multiple datasets of CT and MRI have been used to create biventricular [216][217][218], LA [81], biatrial [219], and whole heart atlases [198]. Statistical shape models have been used to investigate the LV shape induced by preterm birth in adults [220], obesity in adults [221] and children [222]; to identify potentially favourable remodelling as a response to CRT in patients with HF [223] and to quantify LA anatomical remodelling in patients with AF [224]. Although complex and computationally demanding, accounting for shape variability in cardiac mechanics models would make in silico mechanics models more relevant for clinical applications.…”

Section: Future Directionsmentioning

confidence: 99%

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Advancing clinical translation of cardiac biomechanics models: a comprehensive review, applications and future pathways

Rodero,

Baptiste,

Barrows

et al. 2023

Front. Phys.

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Cardiac mechanics models are developed to represent a high level of detail, including refined anatomies, accurate cell mechanics models, and platforms to link microscale physiology to whole-organ function. However, cardiac biomechanics models still have limited clinical translation. In this review, we provide a picture of cardiac mechanics models, focusing on their clinical translation. We review the main experimental and clinical data used in cardiac models, as well as the steps followed in the literature to generate anatomical meshes ready for simulations. We describe the main models in active and passive mechanics and the different lumped parameter models to represent the circulatory system. Lastly, we provide a summary of the state-of-the-art in terms of ventricular, atrial, and four-chamber cardiac biomechanics models. We discuss the steps that may facilitate clinical translation of the biomechanics models we describe. A well-established software to simulate cardiac biomechanics is lacking, with all available platforms involving different levels of documentation, learning curves, accessibility, and cost. Furthermore, there is no regulatory framework that clearly outlines the verification and validation requirements a model has to satisfy in order to be reliably used in applications. Finally, better integration with increasingly rich clinical and/or experimental datasets as well as machine learning techniques to reduce computational costs might increase model reliability at feasible resources. Cardiac biomechanics models provide excellent opportunities to be integrated into clinical workflows, but more refinement and careful validation against clinical data are needed to improve their credibility. In addition, in each context of use, model complexity must be balanced with the associated high computational cost of running these models.

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Section: Discussionmentioning

confidence: 99%