Key result
A subject-specific one-dimensional hemodynamic model successfully calibrated arterial stiffness from noninvasive measurements, providing a robust tool for early cardiovascular disease diagnosis.
A novel subject-specific computational model can robustly estimate arterial stiffness distribution from noninvasive measurements, offering a potential tool for early cardiovascular disease diagnosis.
Should not yet change clinical practice; leaves open prospective validation of subject-specific models for arterial stiffness.
Cardiovascular diseases are currently the leading cause of mortality in the population of developed countries, due to the constant increase in cardiovascular risk factors, such as high blood pressure, cholesterol, overweight, tobacco use, lack of physical activity, etc. Numerous prospective and retrospective studies have shown that arterial stiffening is a relevant predictor of these diseases. Unfortunately, the arterial stiffness distribution across the human body is difficult to measure experimentally. We propose a numerical approach to determine the arterial stiffness distribution of an arterial network using a subject-specific one-dimensional model. The proposed approach calibrates the optimal parameters of the reduced-order model, including the arterial stiffness, by solving an inverse problem associated with the noninvasive in vivo measurements. An uncertainty quantification analysis has also been carried out to measure the contribution of the model input parameters variability, alone or by interaction with other inputs, to the variation of clinically relevant hemodynamic indices, here the arterial pulse pressure. The results obtained for a lower limb model, demonstrate that the numerical approach presented here can provide a robust and subject-specific tool to the practitioner, allowing an early and reliable diagnosis of cardiovascular diseases based on a noninvasive clinical examination.
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Dumas et al. (2016) studied Cardiovascular diseases. Subject-specific one-dimensional hemodynamic model was evaluated on Arterial stiffness distribution and arterial pulse pressure. A subject-specific one-dimensional hemodynamic model successfully calibrated arterial stiffness from noninvasive measurements, providing a robust tool for early cardiovascular disease diagnosis.
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