Mathematical liver modeling: hemodynamics and function in hepatectomy. (Modèles mathématiques de l'hémodynamique et de la fonction du foie lors d'une hépatectomie)

Major liver resection is being performed to treat liver lesions or for adult-to-adult living donor liver transplantation. Complications of these surgeries are related to a poor liver function. The links between liver hemodynamics, liver volume and liver function remain unclear and are important to better understand these complications. The surgery increases the resistance to blood flow in the organ, therefore it modifies liver hemodynamics. Large modifications of the portal vein hemodynamics have been associated with poor liver regeneration. Moreover the liver receives 25% of the cardiac outflow, therefore liver surgery may impact the whole blood circulation. In this context, the first goal is to investigate with mathematical models the impact of liver surgery on liver hemodynamics. The second goal is to study the liver perfusion and function with mathematical models. The first part describes the experimental conditions and reports the measurements recorded. Then, the second part focuses on the liver hemodynamics during partial hepatectomy. On one hand, the hemodynamics during several surgeries is quantitatively reproduced and explained by a closed-loop model based on ODE. On the other hand, the change of waveforms observed after different levels of liver resection is reproduced with a model of the global circulation, including 0D and 1D equations. This may contribute to a better understanding of the change of liver architecture induced by hepatectomy. Next, the transport in blood of a compound is studied. And a pharmacokinetics model and its parameter identification are developed to quantitatively analyze indocyanine green fluorescence dynamics in the liver tissue.

[1]  H. Petrowsky,et al.  Strategies for safer liver surgery and partial liver transplantation. , 2007, The New England journal of medicine.

[2]  R. P. Thompson,et al.  Clearance and non-invasive determination of the hepatic extraction of indocyanine green in baboons and man. , 1983, Clinical science.

[3]  T J Pedley,et al.  Prediction of coronary blood flow with a numerical model based on collapsible tube dynamics. , 1990, The American journal of physiology.

[4]  H.F. Durrant-Whyte,et al.  A new approach for filtering nonlinear systems , 1995, Proceedings of 1995 American Control Conference - ACC'95.

[5]  N. Westerhof,et al.  An artificial arterial system for pumping hearts. , 1971, Journal of applied physiology.

[6]  V. Pamecha,et al.  Effect of portal vein embolisation on the growth rate of colorectal liver metastases , 2009, British Journal of Cancer.

[7]  H. Suga,et al.  Instantaneous Pressure‐Volume Relationships and Their Ratio in the Excised, Supported Canine Left Ventricle , 1974, Circulation research.

[8]  H. Rabes Kinetics of hepatocellular proliferation as a function of the microvascular structure and functional state of the liver. , 1977, Ciba Foundation symposium.

[9]  Mette S Olufsen,et al.  Structured tree outflow condition for blood flow in larger systemic arteries. , 1999, American journal of physiology. Heart and circulatory physiology.

[10]  D. Chapelle,et al.  Reduced-order Unscented Kalman Filtering with application to parameter identification in large-dimensional systems , 2011 .

[11]  Lucas O Müller,et al.  A global multiscale mathematical model for the human circulation with emphasis on the venous system , 2014, International journal for numerical methods in biomedical engineering.

[12]  Andrew P. Robinson,et al.  Model validation using equivalence tests , 2004 .

[13]  I. Vignon-Clementel,et al.  Simplified technique for 75% and 90% hepatic resection with hemodynamic monitoring in a large white swine model. , 2017, The Journal of surgical research.

[14]  I. Vignon-Clementel,et al.  Data assimilation and modelling of patient-specific single-ventricle physiology with and without valve regurgitation. , 2016, Journal of biomechanics.

[15]  J. Timmer,et al.  Representative Sinusoids for Hepatic Four-Scale Pharmacokinetics Simulations , 2015, PloS one.

[16]  Ryutaro Himeno,et al.  Multi-scale modeling of the human cardiovascular system with applications to aortic valvular and arterial stenoses , 2009, Medical & Biological Engineering & Computing.

[17]  K. Hasegawa,et al.  Identification of veno‐occlusive regions in a right liver graft after reconstruction of vein segments 5 and 8: Application of indocyanine green fluorescence imaging , 2013, Liver transplantation : official publication of the American Association for the Study of Liver Diseases and the International Liver Transplantation Society.

[18]  Petri Välisuo,et al.  A Review of Indocyanine Green Fluorescent Imaging in Surgery , 2012, Int. J. Biomed. Imaging.

[19]  R. Troisi,et al.  Lack of a correlation between portal vein flow and pressure: Toward a shared interpretation of hemodynamic stress governing inflow modulation in liver transplantation , 2011, Liver transplantation : official publication of the American Association for the Study of Liver Diseases and the International Liver Transplantation Society.

[20]  J. Scoazec,et al.  Liver regeneration and hemodynamics in pigs with mesocaval shunt. , 2007, The Journal of surgical research.

[21]  E. Hatano,et al.  Hepatoprotective effect by pretreatment with olprinone in a swine partial hepatectomy model , 2014, Liver transplantation : official publication of the American Association for the Study of Liver Diseases and the International Liver Transplantation Society.

[22]  T J Pedley,et al.  Blood pressure and flow rate in the giraffe jugular vein. , 1996, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[23]  Olivier Delestre,et al.  A ‘well‐balanced’ finite volume scheme for blood flow simulation , 2012, ArXiv.

[24]  Jan Böttger,et al.  Protocols for staining of bile canalicular and sinusoidal networks of human, mouse and pig livers, three-dimensional reconstruction and quantification of tissue microarchitecture by image processing and analysis , 2014, Archives of Toxicology.

[25]  Mats O. Karlsson,et al.  Implementation of a transit compartment model for describing drug absorption in pharmacokinetic studies , 2007, Journal of Pharmacokinetics and Pharmacodynamics.

[26]  Xiaohua Xia,et al.  On Identifiability of Nonlinear ODE Models and Applications in Viral Dynamics , 2011, SIAM Rev..

[27]  Rainer Helmig,et al.  Reduced one‐dimensional modelling and numerical simulation for mass transport in fluids , 2013 .

[28]  B. Lantz,et al.  Regional distribution of cardiac output: normal values in man determined by video dilution technique. , 1981, AJR. American journal of roentgenology.

[29]  Matthias Hermes,et al.  Prediction and validation of cell alignment along microvessels as order principle to restore tissue architecture in liver regeneration , 2010, Proceedings of the National Academy of Sciences.

[30]  Marek Kretowski,et al.  SIMULATION OF HEPATOCELLULAR CARCINOMA IN MRI BY COMBINED MACROVASCULAR AND PHARMACOKINETIC MODELS , 2007, 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

[31]  C. D. Murray THE PHYSIOLOGICAL PRINCIPLE OF MINIMUM WORK APPLIED TO THE ANGLE OF BRANCHING OF ARTERIES , 1926, The Journal of general physiology.

[32]  G. Michalopoulos Liver regeneration after partial hepatectomy: critical analysis of mechanistic dilemmas. , 2010, The American journal of pathology.

[33]  B. Vanleer,et al.  Towards the ultimate conservative difference scheme. IV. A new approach to numerical convection , 1977 .

[34]  Vladimír Lukes,et al.  Numerical simulation of liver perfusion: from CT scans to FE model , 2014, ArXiv.

[35]  S. Haykin Kalman Filtering and Neural Networks , 2001 .

[36]  Shun-Feng Tsai,et al.  Simulation of portal hemodynamic changes in a donor after right hepatectomy. , 2010, Journal of biomechanical engineering.

[37]  T. Pedley,et al.  A model for time-dependent flow in (giraffe jugular) veins: uniform tube properties. , 2002, Journal of Biomechanics.

[38]  Christopher Anthony Basciano,et al.  Computational Particle-Hemodynamics Analysis Applied to an Abdominal Aortic Aneurysm with Thrombus and Microsphere-Targeting of Liver Tumors. , 2010 .

[39]  Peter J. Hunter,et al.  Blood Flow Simulation for the Liver after a Virtual Right Lobe Hepatectomy , 2012, MICCAI.

[40]  M Saito,et al.  Comparing different numerical methods for solving arterial 1D flows in networks , 2012, Computer methods in biomechanics and biomedical engineering.

[41]  M. Zamir On fractal properties of arterial trees. , 1999, Journal of theoretical biology.

[42]  E H Wood,et al.  Applications of the Lagged Normal Density Curve as a Model for Arterial Dilution Curves , 1966, Circulation research.

[43]  Chun-Ling Chuang,et al.  A hybrid diagnosis model for determining the types of the liver disease , 2010, Comput. Biol. Medicine.

[44]  T. Bennett,et al.  Hepatic capacitance responses to changes in flow and hepatic venous pressure in dogs. , 1981, The American journal of physiology.

[45]  N. Suwa,et al.  Estimation of intravascular blood pressure gradient by mathematical analysis of arterial casts. , 1963, The Tohoku journal of experimental medicine.

[46]  E. Marchandise,et al.  Accurate modelling of unsteady flows in collapsible tubes , 2010, Computer methods in biomechanics and biomedical engineering.

[47]  A. Shapiro Steady Flow in Collapsible Tubes , 1977 .

[48]  Claudio Cobelli,et al.  Generalized Sensitivity Functions in Physiological System Identification , 1999, Annals of Biomedical Engineering.

[49]  Jordi Alastruey,et al.  A benchmark study of numerical schemes for one‐dimensional arterial blood flow modelling , 2015, International journal for numerical methods in biomedical engineering.

[50]  Diego R. Martín,et al.  Hemodynamics in Normal and Diseased Livers: Application of Image-Based Computational Models , 2015, Cardiovascular engineering and technology.

[51]  Y. Zhao,et al.  How Much Portal Vein Flow Is Too Much for Liver Remnant in a Stable Porcine Model? , 2016, Transplantation proceedings.

[52]  P Segers,et al.  Left ventricular wall stress normalization in chronic pressure-overloaded heart: a mathematical model study. , 2000, American journal of physiology. Heart and circulatory physiology.

[53]  S Bassez,et al.  Modeling of the deformation of flexible tubes using a single law: application to veins of the lower limb in man. , 2001, Journal of biomechanical engineering.

[54]  L. Rikkers,et al.  Estimation of the Functional Reserve of Human Liver , 1974, Annals of surgery.

[55]  Patrick Segers,et al.  From Vascular Corrosion Cast to Electrical Analog Model for the Study of Human Liver Hemodynamics and Perfusion , 2011, IEEE Transactions on Biomedical Engineering.

[56]  F. Clubb,et al.  Swine as Models in Biomedical Research and Toxicology Testing , 2012, Veterinary pathology.

[57]  Emmanuel Audusse,et al.  A Fast and Stable Well-Balanced Scheme with Hydrostatic Reconstruction for Shallow Water Flows , 2004, SIAM J. Sci. Comput..

[58]  Clement Kleinstreuer,et al.  Impact of Fluid–Structure Interaction on Direct Tumor-Targeting in a Representative Hepatic Artery System , 2013, Annals of Biomedical Engineering.

[59]  Alfio Quarteroni,et al.  Cardiovascular mathematics : modeling and simulation of the circulatory system , 2009 .

[60]  E. Toro,et al.  Some issues in modelling venous haemodynamics , 2012 .

[61]  J-F Gerbeau,et al.  A methodological paradigm for patient‐specific multi‐scale CFD simulations: from clinical measurements to parameter estimates for individual analysis , 2014, International journal for numerical methods in biomedical engineering.

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

[63]  W Huberts,et al.  A 1D pulse wave propagation model of the hemodynamics of calf muscle pump function , 2015, International journal for numerical methods in biomedical engineering.

[64]  Robin Hull,et al.  A good practice guide to the administration of substances and removal of blood, including routes and volumes , 2001, Journal of applied toxicology : JAT.

[65]  A. Geerts,et al.  Vascular corrosion casting: analyzing wall shear stress in the portal vein and vascular abnormalities in portal hypertensive and cirrhotic rodents , 2010, Laboratory Investigation.

[66]  Tobias Preußer,et al.  Spatio-Temporal Simulation of First Pass Drug Perfusion in the Liver , 2014, PLoS Comput. Biol..

[67]  O. Dirsch,et al.  A biphasic model for sinusoidal liver perfusion remodeling after outflow obstruction , 2010, Biomechanics and modeling in mechanobiology.

[68]  S. Gelman,et al.  Catecholamine-induced changes in the splanchnic circulation affecting systemic hemodynamics. , 2004, Anesthesiology.

[69]  H. Seckei Blood volume and circulation time in children , 1936, Archives of disease in childhood.

[70]  Patrick Segers,et al.  A 1D model of the arterial circulation in mice. , 2015, ALTEX.

[71]  Jacques Sainte-Marie,et al.  Kinetic entropy inequality and hydrostatic reconstruction scheme for the Saint-Venant system , 2014, Math. Comput..

[72]  Spencer J. Sherwin,et al.  Computational modelling of 1D blood flow with variable mechanical properties and its application to the simulation of wave propagation in the human arterial system , 2003 .

[73]  C. Kleinstreuer,et al.  Computer Modeling of Controlled Microsphere Release and Targeting in a Representative Hepatic Artery System , 2010, Annals of Biomedical Engineering.

[74]  Marc Lavielle,et al.  Maximum likelihood estimation in nonlinear mixed effects models , 2005, Comput. Stat. Data Anal..

[75]  P. Segers,et al.  A 3D porous media liver lobule model: the importance of vascular septa and anisotropic permeability for homogeneous perfusion , 2014, Computer methods in biomechanics and biomedical engineering.

[76]  A. Guarino,et al.  Pharmacokinetic modeling of the dogfish shark (Squalus acanthias): Distribution and urinary and biliary excretion of phenol red and its glucuronide , 1976, Journal of Pharmacokinetics and Biopharmaceutics.

[77]  Charles A. Taylor,et al.  Computational simulations for aortic coarctation: representative results from a sampling of patients. , 2011, Journal of biomechanical engineering.

[78]  Charles A. Taylor,et al.  Fractal network model for simulating abdominal and lower extremity blood flow during resting and exercise conditions , 2007, Computer methods in biomechanics and biomedical engineering.

[79]  Hao Liu,et al.  A Closed-Loop Lumped Parameter Computational Model for Human Cardiovascular System , 2005 .

[80]  É. Moulines,et al.  Convergence of a stochastic approximation version of the EM algorithm , 1999 .

[81]  A R Dennison,et al.  Segmental nature of the porcine liver and its potential as a model for experimental partial hepatectomy , 2003, The British journal of surgery.

[82]  Chao-Long Chen,et al.  Portal flow is the main predictor of early graft dysfunction regardless of the GRWR status in living donor liver transplantation - a retrospective analysis of 134 patients. , 2014, International journal of surgery.

[83]  Patrick Segers,et al.  Validation and Calibration of an Electrical Analog Model of Human Liver Perfusion Based on Hypothermic Machine Perfusion Experiments , 2014, The International journal of artificial organs.

[84]  M. Pinzani,et al.  Anatomy and Vascular Biology of the Cells in the Portal Circulation , 2005 .

[85]  Lucas O. Müller,et al.  Hyperbolic reformulation of a 1D viscoelastic blood flow model and ADER finite volume schemes , 2014, J. Comput. Phys..

[86]  P Ott,et al.  Hepatic removal of two fractions of indocyanine green after bolus injection in anesthetized pigs. , 1994, The American journal of physiology.

[87]  Jean S. Campbell,et al.  Liver regeneration. , 2012, Journal of hepatology.

[88]  Massimo Mischi,et al.  Mathematical Models of Contrast Transport Kinetics for Cancer Diagnostic Imaging: A Review , 2016, IEEE Reviews in Biomedical Engineering.

[89]  A. R. Cooke,et al.  Use of indocyanine green as a test of liver function , 1963, The American Journal of Digestive Diseases.

[90]  A. Quarteroni,et al.  On the coupling of 1D and 3D diffusion-reaction equations. Applications to tissue perfusion problems , 2008 .

[91]  A M Seifalian,et al.  Experimental study of liver dysfunction evaluated by direct indocyanine green clearance using near infrared spectroscopy , 1999, The British journal of surgery.

[92]  C. Kleinstreuer,et al.  Computer modeling of yttrium-90-microsphere transport in the hepatic arterial tree to improve clinical outcomes. , 2010, International journal of radiation oncology, biology, physics.

[93]  Will Cousins,et al.  A New Physiological Boundary Condition for Hemodynamics , 2013, SIAM J. Appl. Math..

[94]  Emmanuel Audusse,et al.  Kinetic Schemes for Saint-Venant Equations with Source Terms on Unstructured Grids , 2000 .

[95]  M S Pollanen,et al.  Dimensional optimization at different levels of the arterial hierarchy. , 1992, Journal of theoretical biology.

[96]  E. Vibert,et al.  Computerized tomography-based anatomic description of the porcine liver. , 2017, The Journal of surgical research.

[97]  A. Quarteroni,et al.  One-dimensional models for blood flow in arteries , 2003 .

[98]  Benoît Perthame,et al.  Kinetic formulation of conservation laws , 2002 .

[99]  J K Raines,et al.  A computer simulation of arterial dynamics in the human leg. , 1974, Journal of biomechanics.

[100]  P. Moireau,et al.  Sequential parameter estimation for fluid–structure problems: Application to hemodynamics , 2012, International journal for numerical methods in biomedical engineering.

[101]  Peter J. Hunter,et al.  Hemodynamic Simulation for an Anatomically Realistic Portal System , 2011, MICCAI.

[102]  B. Stieger,et al.  Physiological and Biochemical Basis of Clinical Liver Function Tests: A Review , 2013, Annals of surgery.

[103]  A. Jackson,et al.  Experimentally‐derived functional form for a population‐averaged high‐temporal‐resolution arterial input function for dynamic contrast‐enhanced MRI , 2006, Magnetic resonance in medicine.

[104]  A. Bonfiglio,et al.  Mathematical modeling of the circulation in the liver lobule. , 2010, Journal of biomechanical engineering.

[105]  P Ott,et al.  Hepatic elimination of indocyanine green with special reference to distribution kinetics and the influence of plasma protein binding. , 1998, Pharmacology & toxicology.

[106]  Charles A. Taylor,et al.  Outflow boundary conditions for one-dimensional finite element modeling of blood flow and pressure waves in arteries , 2004 .

[107]  M. Krishna Role of special stains in diagnostic liver pathology , 2013, Clinical liver disease.

[108]  J. Marshall,et al.  A regression-based equivalence test for model validation: shifting the burden of proof. , 2005, Tree physiology.

[109]  Patrick Segers,et al.  Modeling the Impact of Partial Hepatectomy on the Hepatic Hemodynamics Using a Rat Model , 2012, IEEE Transactions on Biomedical Engineering.

[110]  J. Vaquero,et al.  "Small-for-flow" syndrome: shifting the "size" paradigm. , 2013, Medical hypotheses.

[111]  Olivier Ernst,et al.  Remnant liver volume to body weight ratio > or =0.5%: A new cut-off to estimate postoperative risks after extended resection in noncirrhotic liver. , 2007, Journal of the American College of Surgeons.

[112]  D. Simon Kalman filtering with state constraints: a survey of linear and nonlinear algorithms , 2010 .

[113]  H. Bismuth,et al.  Posthepatectomy Portal Vein Pressure Predicts Liver Failure and Mortality after Major Liver Resection on Noncirrhotic Liver , 2013, Annals of surgery.

[114]  Javier Murillo,et al.  A Roe type energy balanced solver for 1D arterial blood flow and transport , 2015 .

[115]  Marek Kretowski,et al.  In Silico Modeling of Magnetic Resonance Flow Imaging in Complex Vascular Networks , 2014, IEEE Transactions on Medical Imaging.

[116]  O Dirsch,et al.  Regulation of hepatic microcirculation in stepwise liver resection. , 2007, Acta gastro-enterologica Belgica.

[117]  R. LeVeque Finite Volume Methods for Hyperbolic Problems: Characteristics and Riemann Problems for Linear Hyperbolic Equations , 2002 .

[118]  R Core Team,et al.  R: A language and environment for statistical computing. , 2014 .

[119]  W. Lautt,et al.  Regulatory processes interacting to maintain hepatic blood flow constancy: Vascular compliance, hepatic arterial buffer response, hepatorenal reflex, liver regeneration, escape from vasoconstriction , 2007, Hepatology research : the official journal of the Japan Society of Hepatology.

[120]  G. Maddern,et al.  Subtotal hepatectomy: a porcine model for the study of liver regeneration. , 2004, The Journal of surgical research.

[121]  C. Debbaut Multi-level modelling of hepatic perfusion in support of liver transplantation strategies , 2014 .

[122]  A. De Gasperi,et al.  Indocyanine green kinetics to assess liver function: Ready for a clinical dynamic assessment in major liver surgery? , 2016, World journal of hepatology.

[123]  J. Mynard,et al.  One-Dimensional Haemodynamic Modeling and Wave Dynamics in the Entire Adult Circulation , 2015, Annals of Biomedical Engineering.

[124]  Svetla Petkova,et al.  CFD modelling of blood flow in portal vein hypertension with and without thrombosis , 2003 .

[125]  J. Dong,et al.  The safe minimally ischemic liver remnant for small-for-size syndrome in porcine hepatectomy. , 2013, Transplantation proceedings.

[126]  E. Kuhn,et al.  Coupling a stochastic approximation version of EM with an MCMC procedure , 2004 .

[127]  S. I. Rubinow,et al.  Post Buckling Behavior of Elastic Tubes and Rings with Opposite Sides in Contact , 1972 .

[128]  P. Kolh,et al.  Systemic and pulmonary hemodynamics assessed with a lumped-parameter heart-arterial interaction model , 2003 .

[129]  Thomas J. R. Hughes,et al.  On the one-dimensional theory of blood flow in the larger vessels , 1973 .

[130]  S. H. Webster,et al.  Organ; body weight ratios for liver, kidneys and spleen of laboratory animals; albino rat. , 1947, The American journal of anatomy.

[131]  Radu Badea,et al.  CFD Simulation of the Portal Vein Blood Flow , 2009 .

[132]  C. Dangelo,et al.  Multiscale modelling of metabolism and transport phenomena in living tissues , 2007 .

[133]  Neil Kaplowitz,et al.  Liver biology and pathobiology , 2006, Hepatology.

[134]  R Pietrabissa,et al.  A mathematical model of circulation in the presence of the bidirectional cavopulmonary anastomosis in children with a univentricular heart. , 1997, Medical engineering & physics.

[135]  M. Kusano,et al.  Immediate increase of portal pressure, reflecting sinusoidal shear stress, induced liver regeneration after partial hepatectomy. , 1999, Journal of hepato-biliary-pancreatic surgery.

[136]  G. Tucker,et al.  Indocyanine green elimination in patients with liver disease and in normal subjects. , 1991, Clinical science.

[137]  T. Başar,et al.  A New Approach to Linear Filtering and Prediction Problems , 2001 .

[138]  T. V. van Gulik,et al.  Enhanced tumor growth after portal vein embolization in a rabbit tumor model. , 2013, The Journal of surgical research.

[139]  E B Rypins,et al.  Computer analysis of portal hemodynamics after small-diameter portacaval H-grafts: the theoretical basis for partial shunting. , 1987, The Journal of surgical research.

[140]  H. Holzhütter,et al.  Modeling function–perfusion behavior in liver lobules including tissue, blood, glucose, lactate and glycogen by use of a coupled two-scale PDE–ODE approach , 2014, Biomechanics and Modeling in Mechanobiology.

[141]  Hugh F. Durrant-Whyte,et al.  A new method for the nonlinear transformation of means and covariances in filters and estimators , 2000, IEEE Trans. Autom. Control..

[142]  J. Crawford,et al.  Microanatomy of the human liver—exploring the hidden interfaces , 1999, Hepatology.

[143]  M. Weiss,et al.  A physiologically based model of hepatic ICG clearance: interplay between sinusoidal uptake and biliary excretion. , 2011, European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences.

[144]  H T Banks,et al.  Stochastic and deterministic models for agricultural production networks. , 2007, Mathematical biosciences and engineering : MBE.

[145]  B. Vollmar,et al.  Hyperperfusion Syndrome in Small-for-Size Livers , 2005, European Surgical Research.

[146]  D. Lombardi Inverse problems in 1D hemodynamics on systemic networks: A sequential approach , 2014, International journal for numerical methods in biomedical engineering.

[147]  Yubing Shi,et al.  Review of Zero-D and 1-D Models of Blood Flow in the Cardiovascular System , 2011, Biomedical engineering online.

[148]  Z. Li,et al.  Computational hemodynamics of portal vein hypertension in hepatic cirrhosis patients. , 2015, Bio-medical materials and engineering.

[149]  E. Vibert,et al.  The reference values for hepatic oxygen consumption and net lactate production, blood gasses, hemogram, major electrolytes, and kidney and liver profiles in anesthetized large white swine model , 2016 .

[150]  S. Yagi,et al.  Improvement of morphological changes after 70% hepatectomy with portocaval shunt: preclinical study in porcine model. , 2007, The Journal of surgical research.

[151]  K. Hirao,et al.  Direct measurement of hepatic indocyanine green clearance with near‐infrared spectroscopy: Separate evaluation of uptake and removal , 1996, Hepatology.

[152]  S. Sherwin,et al.  Pulse wave propagation in a model human arterial network: Assessment of 1-D visco-elastic simulations against in vitro measurements , 2011, Journal of biomechanics.

[153]  H. Boxenbaum Interspecies variation in liver weight, hepatic blood flow, and antipyrine intrinsic clearance: Extrapolation of data to benzodiazepines and phenytoin , 1980, Journal of Pharmacokinetics and Biopharmaceutics.

[154]  Marek Kretowski,et al.  Multiscale Model of Liver DCE-MRI Towards a Better Understanding of Tumor Complexity , 2010, IEEE Transactions on Medical Imaging.

[155]  P. Segers,et al.  A multilevel modeling framework to study hepatic perfusion characteristics in case of liver cirrhosis. , 2015, Journal of biomechanical engineering.

[156]  Eduard Rohan,et al.  COMPLEX HIERARCHICAL MODELING OF THE DYNAMIC PERFUSION TEST : APPLICATION TO LIVER , 2013 .

[157]  C A Taylor,et al.  Outflow boundary conditions for 3D simulations of non-periodic blood flow and pressure fields in deformable arteries , 2010, Computer methods in biomechanics and biomedical engineering.

[158]  S. Sherwin,et al.  Pulse wave propagation in a model human arterial network: assessment of 1-D numerical simulations against in vitro measurements. , 2007, Journal of biomechanics.

[159]  C. Bendixen,et al.  Advances in porcine genomics and proteomics--a toolbox for developing the pig as a model organism for molecular biomedical research. , 2010, Briefings in functional genomics.

[160]  Harvey Ho,et al.  Modeling the hepatic arterial buffer response in the liver. , 2013, Medical engineering & physics.

[161]  Pierrick Coupé,et al.  Simulation of Biphasic CT Findings in Hepatic Cellular Carcinoma by a Two-Level Physiological Model , 2007, IEEE Transactions on Biomedical Engineering.

[162]  Pablo J. Blanco,et al.  A dimensionally-heterogeneous closed-loop model for the cardiovascular system and its applications. , 2013, Medical engineering & physics.

[163]  Violaine Louvet,et al.  Parameter estimation in non-linear mixed effects models with SAEM algorithm: extension from ODE to PDE , 2014 .

[164]  C. Eipel,et al.  A critical appraisal of the hemodynamic signal driving liver regeneration , 2012, Langenbeck's Archives of Surgery.

[165]  Britton Chance,et al.  Extended Kalman Filtering for the Modeling and Analysis of ICG Pharmacokinetics in Cancerous Tumors Using NIR Optical Methods , 2006, IEEE Transactions on Biomedical Engineering.