The Role of Biofluid Mechanics in the Assessment of Clinical and Pathological Observations

Biofluid mechanics is increasingly applied in support of diagnosis and decision-making for treatment of clinical pathologies. Exploring the relationship between blood flow phenomena and pathophysiological observations is enhanced by continuing advances in the imaging modalities, measurement techniques, and capabilities of computational models. When combined with underlying physiological models, a powerful set of tools becomes available to address unmet clinical needs, predominantly in the direction of enhanced diagnosis, as well as assessment and prediction of treatment outcomes. This position paper presents an overview of current approaches and future developments along this theme that were discussed at the 5th International Biofluid Symposium and Workshop held at the California Institute of Technology in 2008. The introduction of novel mechanical biomarkers in device design and optimization, and applications in the characterization of more specific and focal conditions such as aneurysms, are at the center of attention. Further advances in integrative modeling, incorporating multiscale and multiphysics techniques are also discussed.

[1]  L. Antiga,et al.  Geometry of the Carotid Bifurcation Predicts Its Exposure to Disturbed Flow , 2008, Stroke.

[2]  Fotis Sotiropoulos,et al.  A numerical method for solving the 3D unsteady incompressible Navier-Stokes equations in curvilinear domains with complex immersed boundaries , 2007, J. Comput. Phys..

[3]  Massimiliano Lucchesi,et al.  The Numerical Method , 2008 .

[4]  O. Ecabert euHeart: integrated cardiace care using patient-specific cardiovascular modeling , 2008 .

[5]  Fotis Sotiropoulos,et al.  Fluid structure interaction (FSI) simulation of bileaflet mechanical heart valve in an anatomic aorta geometry , 2007 .

[6]  Rene ter Wee,et al.  Coronary structure and perfusion in health and disease , 2008, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[7]  B. Rutt,et al.  Reproducibility of Image-Based Computational Fluid Dynamics Models of the Human Carotid Bifurcation , 2003, Annals of Biomedical Engineering.

[8]  L. Nallamshetty,et al.  Prediction of coronary artery plaque progression and potential rupture from 320-detector row prospectively ECG-gated single heart beat CT angiography: Lattice Boltzmann evaluation of endothelial shear stress , 2009, The International Journal of Cardiovascular Imaging.

[9]  Alejandro F. Frangi,et al.  Morphological Characterization of Intracranial Aneurysms Using 3-D Moment Invariants , 2007, IEEE Transactions on Medical Imaging.

[10]  John F LaDisa,et al.  Alterations in regional vascular geometry produced by theoretical stent implantation influence distributions of wall shear stress: analysis of a curved coronary artery using 3D computational fluid dynamics modeling , 2006, Biomedical engineering online.

[11]  C. R. Ethier,et al.  Ocular biomechanics and biotransport. , 2004, Annual review of biomedical engineering.

[12]  Kim H. Parker,et al.  An introduction to wave intensity analysis , 2009, Medical & Biological Engineering & Computing.

[13]  S. Chien Effects of Disturbed Flow on Endothelial Cells , 2008, Annals of Biomedical Engineering.

[14]  Y. Ventikos,et al.  Modelling the growth and stabilization of cerebral aneurysms. , 2009, Mathematical medicine and biology : a journal of the IMA.

[15]  Fotis Sotiropoulos,et al.  A review of state-of-the-art numerical methods for simulating flow through mechanical heart valves , 2009, Medical & Biological Engineering & Computing.

[16]  Linda Cummings,et al.  Flow dynamics in a stented ureter. , 2008, Mathematical medicine and biology : a journal of the IMA.

[17]  G. G. Stokes "J." , 1890, The New Yale Book of Quotations.

[18]  Hélène A. Simon,et al.  Vorticity dynamics of a bileaflet mechanical heart valve in an axisymmetric aorta , 2007 .

[19]  S. Juvela,et al.  Treatment options of unruptured intracranial aneurysms. , 2004, Stroke.

[20]  Fotis Sotiropoulos,et al.  Curvilinear immersed boundary method for simulating fluid structure interaction with complex 3D rigid bodies , 2008, J. Comput. Phys..

[21]  D R Hose,et al.  Modelling the interaction of haemodynamics and the artery wall: current status and future prospects. , 2008, Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie.

[22]  R. Schroter,et al.  Arterial Wall Shear and Distribution of Early Atheroma in Man , 1969, Nature.

[23]  G. Dromart,et al.  A Model , 2009 .

[24]  Denis Noble,et al.  The Cardiac Physiome: perspectives for the future , 2009, Experimental physiology.

[25]  Jacques Ohayon,et al.  Necrotic core thickness and positive arterial remodeling index: emergent biomechanical factors for evaluating the risk of plaque rupture. , 2008, American journal of physiology. Heart and circulatory physiology.

[26]  Anand Prasad,et al.  Candidate biomarkers for the detection of coronary plaque destabilization and rupture , 2008, Current atherosclerosis reports.

[27]  D Poulikakos,et al.  Haemodynamics and wall remodelling of a growing cerebral aneurysm: a computational model. , 2007, Journal of biomechanics.

[28]  G. Schmid-Schönbein,et al.  A model for mechanics of primary lymphatic valves. , 2003, Journal of biomechanical engineering.

[29]  H. K. Moffatt,et al.  Helicity in Laminar and Turbulent Flow , 1992 .

[30]  Peter F. Davies,et al.  Shear Stress Biology of the Endothelium , 2005, Annals of Biomedical Engineering.

[31]  M. Cadioli,et al.  In Vivo Quantification of Helical Blood Flow in Human Aorta by Time-Resolved Three-Dimensional Cine Phase Contrast Magnetic Resonance Imaging , 2009, Annals of Biomedical Engineering.

[32]  Jacques Ohayon,et al.  Influence of residual stress/strain on the biomechanical stability of vulnerable coronary plaques: potential impact for evaluating the risk of plaque rupture. , 2007, American journal of physiology. Heart and circulatory physiology.

[33]  Lilit Axner,et al.  Simulating time harmonic flows with the lattice Boltzmann method. , 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.

[34]  Shmuel Einav,et al.  Cardiovascular disease management: the need for better diagnostics , 2008, Medical & Biological Engineering & Computing.

[35]  Georgia Kourlaba,et al.  Anatomic characteristics of culprit sites in acute coronary syndromes. , 2008, Journal of interventional cardiology.

[36]  Alejandro F Frangi,et al.  Reproducibility of haemodynamical simulations in a subject-specific stented aneurysm model--a report on the Virtual Intracranial Stenting Challenge 2007. , 2008, Journal of biomechanics.

[37]  W Wilson,et al.  A fibril-reinforced poroviscoelastic swelling model for articular cartilage. , 2005, Journal of biomechanics.

[38]  S. Sherwin,et al.  Convective instability and transient growth in steady and pulsatile stenotic flows , 2008, Journal of Fluid Mechanics.

[39]  P N Watton,et al.  A mathematical model for the growth of the abdominal aortic aneurysm , 2004, Biomechanics and modeling in mechanobiology.

[40]  Yiannis Ventikos,et al.  The Haemodynamics of Endovascular Aneurysm Treatment: A Computational Modelling Approach for Estimating the Influence of Multiple Coil Deployment , 2008, IEEE Transactions on Medical Imaging.

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

[42]  A. Hoekstra,et al.  Mesoscopic simulations of systolic flow in the human abdominal aorta. , 2006, Journal of biomechanics.

[43]  Liang Ge,et al.  Computational fluid dynamics simulation of transcatheter aortic valve degeneration. , 2009, Interactive cardiovascular and thoracic surgery.

[44]  Maria Siebes,et al.  Correlation of Hemodynamic Events with Clinical and Pathological Observations , 2005, Annals of Biomedical Engineering.

[45]  Jan Vierendeels,et al.  Comparison of the hemodynamic and thrombogenic performance of two bileaflet mechanical heart valves using a CFD/FSI model. , 2007, Journal of biomechanical engineering.

[46]  David A. Steinman,et al.  Flow Imaging and Computing: Large Artery Hemodynamics , 2005, Annals of Biomedical Engineering.

[47]  Alejandro F Frangi,et al.  The @neurIST project: towards understanding cerebral aneurysms , 2007 .

[48]  D. Giddens,et al.  Blood flow patterns in the proximal human coronary arteries: relationship to atherosclerotic plaque occurrence. , 2008, Molecular & cellular biomechanics : MCB.

[49]  S. Niederer,et al.  An improved numerical method for strong coupling of excitation and contraction models in the heart. , 2008, Progress in biophysics and molecular biology.

[50]  Masaya Hirano,et al.  Visualization of hemodynamics in intracranial arteries using time‐resolved three‐dimensional phase‐contrast MRI , 2007, Journal of magnetic resonance imaging : JMRI.

[51]  M. Grigioni,et al.  Helical flow as fluid dynamic signature for atherogenesis risk in aortocoronary bypass. A numeric study. , 2007, Journal of biomechanics.

[52]  Vartan Kurtcuoglu,et al.  Computational investigation of subject-specific cerebrospinal fluid flow in the third ventricle and aqueduct of Sylvius. , 2007, Journal of biomechanics.

[53]  Pankaj Garg,et al.  Arithmetic of vulnerable plaques for noninvasive imaging , 2008, Nature Clinical Practice Cardiovascular Medicine.

[54]  B. Weir Unruptured intracranial aneurysms: a review. , 2002, Journal of neurosurgery.

[55]  Donald P. Gaver,et al.  Biofluid Mechanics of the Pulmonary System , 2005, Annals of Biomedical Engineering.

[56]  M. Grigioni,et al.  A mathematical description of blood spiral flow in vessels: application to a numerical study of flow in arterial bending. , 2005, Journal of biomechanics.

[57]  K B Chandran,et al.  Numerical study on the effect of secondary flow in the human aorta on local shear stresses in abdominal aortic branches. , 2000, Journal of biomechanics.

[58]  Aichi Chien,et al.  Patient-specific flow analysis of brain aneurysms at a single location: comparison of hemodynamic characteristics in small aneurysms , 2008, Medical & Biological Engineering & Computing.

[59]  G E Karniadakis,et al.  LARGE‐SCALE SIMULATION OF THE HUMAN ARTERIAL TREE , 2009, Clinical and experimental pharmacology & physiology.

[60]  Maria Siebes,et al.  Physiological Basis of Clinically Used Coronary Hemodynamic Indices , 2006, Circulation.

[61]  C M Putman,et al.  Computational fluid dynamics modeling of intracranial aneurysms: effects of parent artery segmentation on intra-aneurysmal hemodynamics. , 2006, AJNR. American journal of neuroradiology.

[62]  Takashi Okada,et al.  Clinical usefulness of wave intensity analysis , 2009, Medical & Biological Engineering & Computing.

[63]  Rafik Ouared,et al.  A lattice Boltzmann simulation of clotting in stented aneursysms and comparison with velocity or shear rate reductions , 2006, Math. Comput. Simul..

[64]  Pascal Verdonck,et al.  Comparison of the hemodynamics in 6mm and 4-7 mm hemodialysis grafts by means of CFD. , 2006, Journal of biomechanics.

[65]  Sarah L. Waters,et al.  Flow dynamics in a stented ureter , 2006 .

[66]  D Poulikakos,et al.  On the influence of variation in haemodynamic conditions on the generation and growth of cerebral aneurysms and atherogenesis: a computational model. , 2007, Journal of biomechanics.

[67]  Jianfeng Li,et al.  Numerical flow simulation in the post-endoscopic sinus surgery nasal cavity , 2008, Medical & Biological Engineering & Computing.

[68]  I. Borazjani,et al.  High-Resolution Fluid–Structure Interaction Simulations of Flow Through a Bi-Leaflet Mechanical Heart Valve in an Anatomic Aorta , 2010, Annals of Biomedical Engineering.

[69]  A. Yoganathan,et al.  Optimum fuzzy filters for phase‐contrast magnetic resonance imaging segmentation , 2009, Journal of magnetic resonance imaging : JMRI.

[70]  Yiannis Ventikos,et al.  CFD and PTV steady flow investigation in an anatomically accurate abdominal aortic aneurysm. , 2009, Journal of biomechanical engineering.

[71]  T David,et al.  Modeling perfusion in the cerebral vasculature. , 2008, Medical engineering & physics.

[72]  M. Fenech,et al.  Investigations into the relationship between hemodynamics and vascular alterations in an established arteriovenous fistula. , 2007, Medical engineering & physics.

[73]  S. Madala,et al.  Unfashionable but important new concepts in arterial wave travel , 2003 .

[74]  Robert A Bleasdale,et al.  Chasing the wave. Unfashionable but important new concepts in arterial wave travel. , 2003, American journal of physiology. Heart and circulatory physiology.

[75]  Patricia V. Lawford,et al.  A lattice Boltzmann framework for simulation of thrombogenesis , 2008 .

[76]  S. Franklin,et al.  Beyond blood pressure: Arterial stiffness as a new biomarker of cardiovascular disease. , 2008, Journal of the American Society of Hypertension : JASH.

[77]  K Grosh,et al.  Three-dimensional numerical modeling for global cochlear dynamics. , 2000, The Journal of the Acoustical Society of America.

[78]  David Freed,et al.  Simulation of blood flow using extended Boltzmann kinetic approach , 2006 .

[79]  D. J. Taylor,et al.  Nasal architecture: form and flow , 2008, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[80]  Iman Borazjani,et al.  Numerical Simulations of Fluid-Structure Interaction Problems in Biological Flows , 2008 .

[81]  Fotis Sotiropoulos,et al.  Characterization of Hemodynamic Forces Induced by Mechanical Heart Valves: Reynolds vs. Viscous Stresses , 2008, Annals of Biomedical Engineering.

[82]  A. Hughes,et al.  Differences in cardiac microcirculatory wave patterns between the proximal left mainstem and proximal right coronary artery. , 2008, American journal of physiology. Heart and circulatory physiology.

[83]  Alun D. Hughes,et al.  Evidence of a Dominant Backward-Propagating “Suction” Wave Responsible for Diastolic Coronary Filling in Humans, Attenuated in Left Ventricular Hypertrophy , 2006, Circulation.

[84]  D. Holdsworth,et al.  Image-based computational simulation of flow dynamics in a giant intracranial aneurysm. , 2003, AJNR. American journal of neuroradiology.

[85]  David A. Steinman,et al.  An image-based modeling framework for patient-specific computational hemodynamics , 2008, Medical & Biological Engineering & Computing.

[86]  M. Yacoub,et al.  Asymmetric redirection of flow through the heart , 2000, Nature.