Three-Dimensional Hemodynamics in the Human Pulmonary Arteries Under Resting and Exercise Conditions

The biomechanical forces associated with blood flow have been shown to play a role in pulmonary vascular cell health and disease. Therefore, the quantification of human pulmonary artery hemodynamic conditions under resting and exercise states can be useful in investigating the physiology of disease development and treatment outcomes. In this study, a combined magnetic resonance imaging and computational fluid dynamics approach was used to quantify pulsatile flow fields, wall shear stress (WSS), oscillations in WSS (OSI), and energy efficiency in six subject-specific models of the human pulmonary vasculature with high spatial and temporal resolution. Averaging over all subjects, WSS was found to increase from 19.8 ± 4.0 to 51.8 ± 6.7 dynes/cm2, and OSI was found to decrease from 0.094 ± 0.016 to 0.081 ± 0.015 in the proximal pulmonary arteries between rest and exercise conditions (p < 0.05). These findings demonstrate the localized, biomechanical effects of exercise. Furthermore, an average decrease of 10% in energy efficiency was noted between rest and exercise. These data indicate the amount of energy dissipation that typically occurs with exercise and may be useful in future surgical planning applications.

[1]  K. Birukov,et al.  Differential effects of shear stress and cyclic stretch on focal adhesion remodeling, site-specific FAK phosphorylation, and small GTPases in human lung endothelial cells. , 2005, Experimental cell research.

[2]  R.W. Dutton,et al.  Improving geometric model construction for blood flow modeling , 1999, IEEE Engineering in Medicine and Biology Magazine.

[3]  Thomas J. R. Hughes,et al.  Finite element modeling of blood flow in arteries , 1998 .

[4]  R. Johns,et al.  Effects of chronic hypoxia and altered hemodynamics on endothelial nitric oxide synthase expression in the adult rat lung. , 1998, The Journal of clinical investigation.

[5]  M. Botney,et al.  Role of hemodynamics in pulmonary vascular remodeling: implications for primary pulmonary hypertension. , 1999, American journal of respiratory and critical care medicine.

[6]  R Pietrabissa,et al.  Use of computational fluid dynamics in the design of surgical procedures: application to the study of competitive flows in cavo-pulmonary connections. , 1996, The Journal of thoracic and cardiovascular surgery.

[7]  Charles A. Taylor,et al.  In Vivo Validation of Numerical Prediction of Blood Flow in Arterial Bypass Grafts , 2002, Annals of Biomedical Engineering.

[8]  W. Milnor,et al.  Pulmonary Vascular Response to Exercise in the Dog , 1971, Circulation research.

[9]  Robert W. Dutton,et al.  A Software Framework for Creating Patient Specific Geometric Models from Medical Imaging Data for Simulation Based Medical Planning of Vascular Surgery , 2001, MICCAI.

[10]  Christopher P. Cheng,et al.  Blood flow conditions in the proximal pulmonary arteries and vena cavae: healthy children during upright cycling exercise. , 2004, American journal of physiology. Heart and circulatory physiology.

[11]  Christopher P. Cheng,et al.  In Vivo Quantification of Blood Flow and Wall Shear Stress in the Human Abdominal Aorta During Lower Limb Exercise , 2002, Annals of Biomedical Engineering.

[12]  Kenneth E. Jansen,et al.  A stabilized finite element method for the incompressible Navier–Stokes equations using a hierarchical basis , 2001 .

[13]  Robin Shandas,et al.  Comparison of In Vitro Velocity Measurements in a Scaled Total Cavopulmonary Connection with Computational Predictions , 2003, Annals of Biomedical Engineering.

[14]  J. Womersley Method for the calculation of velocity, rate of flow and viscous drag in arteries when the pressure gradient is known , 1955, The Journal of physiology.

[15]  G. Hulbert,et al.  A generalized-α method for integrating the filtered Navier–Stokes equations with a stabilized finite element method , 2000 .

[16]  Thomas J. R. Hughes,et al.  Finite Element Modeling of Three-Dimensional Pulsatile Flow in the Abdominal Aorta: Relevance to Atherosclerosis , 2004, Annals of Biomedical Engineering.

[17]  Charles A. Taylor,et al.  Effects of Exercise and Respiration on Hemodynamic Efficiency in CFD Simulations of the Total Cavopulmonary Connection , 2007, Annals of Biomedical Engineering.

[18]  Gilwoo Choi,et al.  Circumferential and longitudinal cyclic strain of the human thoracic aorta: age-related changes. , 2009, Journal of vascular surgery.

[19]  Charles A. Taylor,et al.  Efficient anisotropic adaptive discretization of the cardiovascular system , 2006 .

[20]  D. Ku,et al.  Pulsatile flow in the human left coronary artery bifurcation: average conditions. , 1996, Journal of biomechanical engineering.

[21]  Wendell Orlando,et al.  Efficiency differences in computational simulations of the total cavo-pulmonary circulation with and without compliant vessel walls , 2006, Comput. Methods Programs Biomed..

[22]  J. Moller,et al.  Exercise induced pulmonary vasoconstriction. , 1983, British heart journal.

[23]  Robin Shandas,et al.  Influence of connection geometry and SVC-IVC flow rate ratio on flow structures within the total cavopulmonary connection: a numerical study. , 2002, Journal of biomechanical engineering.

[24]  Charles A. Taylor,et al.  Outflow boundary conditions for three-dimensional finite element modeling of blood flow and pressure in arteries , 2006 .

[25]  Michael M. Resch,et al.  Pulsatile non-Newtonian blood flow in three-dimensional carotid bifurcation models: a numerical study of flow phenomena under different bifurcation angles. , 1991, Journal of biomedical engineering.

[26]  C. Lorenz,et al.  Normal Three-Dimensional Pulmonary Artery Flow Determined by Phase Contrast Magnetic Resonance Imaging , 1998, Annals of Biomedical Engineering.

[27]  Charles A. Taylor,et al.  A coupled momentum method for modeling blood flow in three-dimensional deformable arteries , 2006 .

[28]  Nico Westerhof,et al.  Noninvasively assessed pulmonary artery stiffness predicts mortality in pulmonary arterial hypertension. , 2007, Chest.

[29]  Christopher P. Cheng,et al.  Abdominal aortic hemodynamics in young healthy adults at rest and during lower limb exercise: quantification using image-based computer modeling. , 2006, American journal of physiology. Heart and circulatory physiology.

[30]  T. Hughes,et al.  Streamline upwind/Petrov-Galerkin formulations for convection dominated flows with particular emphasis on the incompressible Navier-Stokes equations , 1990 .

[31]  Christopher P. Cheng,et al.  Proximal pulmonary artery blood flow characteristics in healthy subjects measured in an upright posture using MRI: The effects of exercise and age , 2005, Journal of magnetic resonance imaging : JMRI.

[32]  Gerald M. Saidel,et al.  Role of O2 in Regulation of Lactate Dynamics during Hypoxia: Mathematical Model and Analysis , 2004, Annals of Biomedical Engineering.

[33]  K. Perktold,et al.  Computer simulation of local blood flow and vessel mechanics in a compliant carotid artery bifurcation model. , 1995, Journal of biomechanics.

[34]  A. de Roos,et al.  Measurement of aortic and pulmonary flow with MRI at rest and during physical exercise. , 1998, Journal of computer assisted tomography.

[35]  F. Migliavacca,et al.  Computational fluid dynamics simulations in realistic 3-D geometries of the total cavopulmonary anastomosis: the influence of the inferior caval anastomosis. , 2003, Journal of biomechanical engineering.

[36]  Xiangrong Li,et al.  Anisotropic adaptive finite element method for modelling blood flow , 2005, Computer methods in biomechanics and biomedical engineering.

[37]  D. J. Economou,et al.  Dynamics of ion-ion plasmas under radio frequency bias , 2001 .

[38]  M. Laughlin,et al.  Short-term exercise training increases ACh-induced relaxation and eNOS protein in porcine pulmonary arteries. , 2001, Journal of applied physiology.