Diferencias regionales en viscosidad, elasticidad y amortiguamiento parietal de arterias sistémicas: análisis isopulsátil de la relación presión-diámetro arterial

Bia, Daniel; Aguirre, Ismael; Devera, Lucía; Fischer, Edmundo Cabrera; Armentano, Ricardo L.

doi:10.1157/13071891

Cited by 47 publications

(7 citation statements)

References 20 publications

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“…While smooth-muscle content may not differ between the experimental conditions, both the arrangement of the smooth muscle cells as well as their degree of activation may differ, thus leading to the observed differences. Our results agree with those of Boutouyrie, namely that viscosity is higher ex vivo than in vivo , but disagree with those predicted by Armentano et al On the other hand, our results agree with results by Bia et al [6], which showed that viscosity is higher in the carotid artery than in the thoracic descending aorta. It should be noted that modeling approaches in our studies differ from those mentioned above.…”

Section: Discussionsupporting

confidence: 74%

“…Elastin gives rise to elastic and viscoelastic deformation, while collagen contributes to the nonlinear stiffening with increased pressure [1,11]. Smooth muscle cells are the most important contributor to viscoelastic deformation [3,5,6,8,12,13,47]. It is widely known that the amount and distribution of fibrils and cells are altered in cardiovascular disease, for example, in patients with aneurysms [29], atherosclerosis [29], hypertension [2], implanted arteries [9], after pharmacological interventions [3], and in circulations with ventricular mechanical assist devices [7].…”

Section: Introductionmentioning

confidence: 99%

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Linear and Nonlinear Viscoelastic Modeling of Aorta and Carotid Pressure–Area Dynamics Under In Vivo and Ex Vivo Conditions

et al. 2011

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A better understanding of the biomechanical properties of the arterial wall provides important insight into arterial vascular biology under normal (healthy) and pathological conditions. This insight has potential to improve tracking of disease progression and to aid in vascular graft design and implementation. In this study, we use linear and nonlinear viscoelastic models to predict biomechanical properties of the thoracic descending aorta and the carotid artery under ex vivo and in vivo conditions in ovine and human arteries. Models analyzed include a four-parameter (linear) Kelvin viscoelastic model and two five-parameter nonlinear viscoelastic models (an arctangent and a sigmoid model) that relate changes in arterial blood pressure to the vessel cross-sectional area (via estimation of vessel strain). These models were developed using the framework of Quasilinear Viscoelasticity (QLV) theory and were validated using measurements from the thoracic descending aorta and the carotid artery obtained from human and ovine arteries. In vivo measurements were obtained from ten ovine aortas and ten human carotid arteries. Ex vivo measurements (from both locations) were made in eleven male Merino sheep. Biomechanical properties were obtained through constrained estimation of model parameters. To further investigate the parameter estimates we computed standard errors and confidence intervals and we used analysis of variance to compare results within and between groups. Overall, our results indicate that optimal model selection depends on the arterial type. Results showed that for the thoracic descending aorta (under both experimental conditions) the best predictions were obtained with the nonlinear sigmoid model, while under healthy physiological pressure loading the carotid arteries nonlinear stiffening with increasing pressure is negligible, and consequently, the linear (Kelvin) viscoelastic model better describes the pressure-area dynamics in this vessel. Results comparing biomechanical properties show that the Kelvin and sigmoid models were able to predict the zero-pressure vessel radius; that under ex vivo conditions vessels are more rigid, and comparatively, that the carotid artery is stiffer than the thoracic descending aorta; and that the viscoelastic gain and relaxation parameters do not differ significantly between vessels or experimental conditions. In conclusion, our study demonstrates that the proposed models can predict pressure-area dynamics and that model parameters can be extracted for further interpretation of biomechanical properties.

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Section: Discussionsupporting

confidence: 74%

Section: Introductionmentioning

confidence: 99%

Linear and Nonlinear Viscoelastic Modeling of Aorta and Carotid Pressure–Area Dynamics Under In Vivo and Ex Vivo Conditions

et al. 2011

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“…Por último, se resume a continuación brevemente el modelo viscoelástico más elemental, denominado de Kelvin-Voigt, también empleado por los autores en el artículo al que hace referencia este editorial 1 . La viscoelasticidad proporciona una respuesta retardada en el tiempo frente a la respuesta elástica que sería teóricamente instantánea.…”

Section: Viscoelasticidadunclassified

“…Como es bien conocido, la función cardiovascular se caracteriza, entre otros factores, por diversos índices y parámetros biomecánicos, y a su vez depende de los fenómenos que éstos describen. El artículo de Bia et al 1 publicado en este número de REVISTA ESPAÑOLA DE CARDIOLOGÍA estudia estos parámetros mediante técnicas in vitro, y establece conclusiones que pueden servir para la caracterización precoz de la enfermedad arterial degenerativa. Existen numerosos trabajos que estudian la influencia cardiovascular de parámetros mecánicos en distintos niveles [2][3][4][5][6][7] .…”

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Factores biomecánicos y su influencia en la función cardiovascular

Ruigómez

2005

Revista Española de Cardiología

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“…Accuracy in these measurements depends on how still and how long the subject lies in the scanner, the choice of image segmentation technique, and the geometric approximations used in reconstructing the vessel and network connectivity from the imaging data [32,33]. This study compares numerical simulations with experimental data where high precision measurements of vessel 1 length (via caliper) and diameter (via ultrasonic crystals) were made directly on single vessels during experimentation, both in vivo before excision and ex vivo after [34,35]. Vessels in this study are assumed to be nontapered (i.e., effects of bends and changes in vessel diameter along vessels are ignored).…”

Section: Introductionmentioning

confidence: 99%

Uncertainty Quantification in a Patient-Specific One-Dimensional Arterial Network Model: EnKF-Based Inflow Estimator

Arnold

Battista

Bia

et al. 2017

Journal of Verification, Validation and Uncertainty Quantification

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Successful clinical use of patient-specific models for cardiovascular dynamics depends on the reliability of the model output in the presence of input uncertainties. For 1D fluid dynamics models of arterial networks, input uncertainties associated with the model output are related to the specification of vessel and network geometry, parameters within the fluid and wall equations, and parameters used to specify inlet and outlet boundary conditions. This study investigates how uncertainty in the flow profile applied at the inlet boundary of a 1D model affects area and pressure predictions at the center of a single vessel. More specifically, this study develops an iterative scheme based on the ensemble Kalman filter (EnKF) to estimate the temporal inflow profile from a prior distribution of curves. The EnKF-based inflow estimator provides a measure of uncertainty in the size and shape of the estimated inflow, which is propagated through the model to determine the corresponding uncertainty in model predictions of area and pressure. Model predictions are compared to ex vivo area and blood pressure measurements in the ascending aorta, the carotid artery, and the femoral artery of a healthy male Merino sheep. Results discuss dynamics obtained using a linear and a nonlinear viscoelastic wall model.

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Diferencias regionales en viscosidad, elasticidad y amortiguamiento parietal de arterias sistémicas: análisis isopulsátil de la relación presión-diámetro arterial

Cited by 47 publications

References 20 publications

Linear and Nonlinear Viscoelastic Modeling of Aorta and Carotid Pressure–Area Dynamics Under In Vivo and Ex Vivo Conditions

Linear and Nonlinear Viscoelastic Modeling of Aorta and Carotid Pressure–Area Dynamics Under In Vivo and Ex Vivo Conditions

Factores biomecánicos y su influencia en la función cardiovascular

Uncertainty Quantification in a Patient-Specific One-Dimensional Arterial Network Model: EnKF-Based Inflow Estimator

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