Key result
The proposed hydro-mechanical mathematical model successfully simulated myocardial edema formation, yielding an area of 1.728 cm2 that matched the patient's clinical MRI measurement of 1.755 cm2 with a 1.56% relative error.
Why the study?
Edema formation in myocarditis may result from the complex interaction between interstitial fluid dynamics and immune response, motivating the development of a computational model to simulate this process.
A novel hydro-mechanical mathematical model successfully simulated edema formation in myocarditis using patient-specific MRI data, offering a promising tool to understand the interaction between immune response and fluid dynamics.
Answers are grounded in this paper and cite their sources.
Mathematical model of myocarditis edema extends fluid-immune interaction insights; leaves open clinical validation before practice impact.
BACKGROUND: Myocarditis is defined as the inflammation of the myocardium, i.e. the cardiac muscle. Among the reasons that lead to this disease, we may include infections caused by a virus, bacteria, protozoa, fungus, and others. One of the signs of the inflammation is the formation of edema, which may be a consequence of the interaction between interstitial fluid dynamics and immune response. This complex physiological process was mathematically modeled using a nonlinear system of partial differential equations (PDE) based on porous media approach. By combing a model based on Biot's poroelasticity theory with a model for the immune response we developed a new hydro-mechanical model for inflammatory edema. To verify this new computational model, T2 parametric mapping obtained by Magnetic Resonance (MR) imaging was used to identify the region of edema in a patient diagnosed with unspecific myocarditis. RESULTS: A patient-specific geometrical model was created using MRI images from the patient with myocarditis. With this model, edema formation was simulated using the proposed hydro-mechanical mathematical model in a two-dimensional domain. The computer simulations allowed us to correlate spatiotemporal dynamics of representative cells of the immune systems, such as leucocytes and the pathogen, with fluid accumulation and cardiac tissue deformation. CONCLUSIONS: This study demonstrates that the proposed mathematical model is a very promising tool to better understand edema formation in myocarditis. Simulations obtained from a patient-specific model reproduced important aspects related to the formation of cardiac edema, its area, position, and shape, and how these features are related to immune response.
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Reis et al. (2019) studied Myocarditis (n=1). Hydro-mechanical mathematical model of inflammatory edema vs. Clinical T2 parametric mapping (MRI) was evaluated on Edema area (1.56% relative error). The proposed hydro-mechanical mathematical model successfully simulated myocardial edema formation, yielding an area of 1.728 cm2 that matched the patient's clinical MRI measurement of 1.755 cm2 with a 1.56% relative error.
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