Tailor-made heart simulation predicts the effect of cardiac resynchronization therapy in a canine model of heart failure

Abraham, 2012, Randomized controlled trial comparing simultaneous versus optimized sequential interventricular stimulation during cardiac resynchronization therapy, Am. Heart. J., 164, 735, 10.1016/j.ahj.2012.07.026 Aguado-Sierra, 2011, Patient-specific modeling of dyssynchronous heart failure: a case study, Prog. Biophys. Mol. Biol., 107, 147, 10.1016/j.pbiomolbio.2011.06.014 Asner, 2015, Estimation of passive and active properties in the human heart using 3D tagged MRI, Biomech. Model Mechanobiol Bax, 2005, Cardiac resynchronization therapy: Part 1—Issues before device implantation, J. Am. Coll. Cardiol., 46, 2153, 10.1016/j.jacc.2005.09.019 Benson, 2008, The canine virtual ventricular wall: a platform for dissecting pharmacological effects on propagation and arrhythmogenesis, Prog. Biophys. Mol. Biol., 96, 187, 10.1016/j.pbiomolbio.2007.08.002 Bleeker, 2007, Left ventricular resynchronization is mandatory for response to cardiac resynchronization therapy: analysis in patients with echocardiographic evidence of left ventricular dyssynchrony at baseline, Circulation, 116, 1440, 10.1161/CIRCULATIONAHA.106.677005 Camacho, 1995, A three-dimensional finite element 40 model of human transthoracic defibrillation: paddle placement and size, IEEE Trans. Biomed. Eng., 42, 572, 10.1109/10.387196 Cerqueira, 2002, Standardized myocardial segmentation and nomenclature for tomographic imaging of the heart: A statement for healthcare professionals from the cardiac imaging committee of the Council on Clinical Cardiology of the American Heart Association, Circulation, 105, 539, 10.1161/hc0402.102975 Chen, 2013, The efficacy and safety of cardiac resynchronization therapy combined with implantable cardioverter defibrillator for heart failure: a meta-analysis of 5674 patients, Europace, 15, 992, 10.1093/europace/eus419 Constantino, 2012, A computational approach to understanding the cardiac electromechanical activation sequence in the normal and failing heart, with translation to the clinical practice of CRT, Prog. Biophys. Mol. Biol., 110, 372, 10.1016/j.pbiomolbio.2012.07.009 de Tombe, 1991, Sarcomere dynamics in cat cardiac trabeculae, Circ. Res., 68, 588, 10.1161/01.RES.68.2.588 Dekker, 2004, Epicardial left ventricular lead placement for cardiac resynchronization therapy: optimal pace site selection with pressure-volume loops, J. Thorac. Cardiovasc. Surg., 127, 1641, 10.1016/j.jtcvs.2003.10.052 Delgado, 2008, Assessment of left ventricular dyssynchrony by speckle tracking strain imaging comparison between longitudinal, circumferential, and radial strain in cardiac resynchronization therapy, J. Am. Coll. Cardiol., 51, 1944, 10.1016/j.jacc.2008.02.040 Derval, 2010, Optimizing hemodynamics in heart failure patients by systematic screening of left ventricular pacing sites: The lateral left ventricular wall and the coronary sinus are rarely the best sites, J. Am. Coll. Cardiol., 55, 566, 10.1016/j.jacc.2009.08.045 Detweiler, 1965, The prevalence and types of cardiovascular disease in dogs, Ann. N. Y. Acad. Sci., 127, 481, 10.1111/j.1749-6632.1965.tb49421.x Gorcsan, 2008, Echocardiography for cardiac resynchronization therapy: recommendations for performance and reporting—a report from the American Society of Echocardiography Dyssynchrony Writing Group endorsed by the Heart Rhythm Society, J. Am. Soc. Echocardiogr., 21, 191, 10.1016/j.echo.2008.01.003 Gurev, 2011, Models of cardiac electromechanics based on individual hearts imaging data Image-based electromechanical models of the heart Biomech, Model. Mechanobiol., 10, 295, 10.1007/s10237-010-0235-5 Helm, P., Winslow, R., McVeigh, E., 2004. DTMRI data sets http://gforge.icm.jhu.edu/gf/project/dtmri_data_sets (accessed on 12.01.14). Helm, 2007, Three-dimensional mapping of optimal left ventricular pacing site for cardiac resynchronization, Circulation, 115, 953, 10.1161/CIRCULATIONAHA.106.643718 Humphrey, 1990, Determination of a constitutive relation for passive myocardium: II. parameter estimation, J. Biomech. Eng., 112, 340, 10.1115/1.2891194 Hund, 2004, Rate dependence and regulation of action potential and calcium transient in a canine cardiac ventricular cell model, Circulation, 110, 3168, 10.1161/01.CIR.0000147231.69595.D3 Huntjens, 2014, Influence of left ventricular lead position relative to scar location on response to cardiac resynchronization therapy: a model study, Europace, 16, iv62, 10.1093/europace/euu231 Kayvanpour, 2015, Towards personalized cardiology: Multi-scale modeling of the failing heart, PLoS ONE, 10, 10.1371/journal.pone.0134869 Keldermann, 2009, A computational study of mother rotor VF in the human ventricles, Am. J. Physiol., 296, H370 Kerckhoffs, 2008, Cardiac resynchronization: Insight from experimental and computational models, Prog. Biophys. Mol. Biol., 97, 543, 10.1016/j.pbiomolbio.2008.02.024 Kerckhoffs, 2007, Coupling of a 3D finite element model of cardiac ventricular mechanics to lumped systems models of the systemic and pulmonic circulation, Ann. Biomed. Eng., 35, 1, 10.1007/s10439-006-9212-7 Kerckhoffs, 2012, Mechanical discoordination increases continuously after the onset of left bundle branch block despite constant electrical dyssynchrony in a computational model of cardiac electromechanics and growth, Europace, 14, v65, 10.1093/europace/eus274 Kerckhoffs, 2010, Ventricular dilation and electrical dyssynchrony synergistically increase regional mechanical nonuniformity but not mechanical dyssynchrony: a computational model, Circ. Heart. Fail., 3, 528, 10.1161/CIRCHEARTFAILURE.109.862144 Kirk, 2013, Electromechanical dyssynchrony and resynchronization of the failing heart, Circ. Res., 113, 765, 10.1161/CIRCRESAHA.113.300270 Klotz, 2007, A computational method of prediction of the enddiastolic pressure–volume relationship by single beat, Nat. Protoc., 2, 2152, 10.1038/nprot.2007.270 León, 2005, Cardiac resynchronization with sequential biventricular pacing for the treatment of moderate-to-severe heart failure, J. Am. Coll. Cardiol., 46, 2298, 10.1016/j.jacc.2005.08.032 Leclercq, 2008, A randomized comparison of triple-site versus dual-site ventricular stimulation in patients with congestive heart failure, J. Am. Coll. Cardiol., 51, 1455, 10.1016/j.jacc.2007.11.074 Lin, 1998, Constitutive law for mammalian left ventricular myocardium in steady-state Barium contracture or tetanus, J. Biomech. Eng., 120, 504, 10.1115/1.2798021 Linde, 2008, J. Am. Coll. Cardiol., 52, 1834, 10.1016/j.jacc.2008.08.027 Marchesseau, 2013, Personalization of a cardiac electromechanical model using reduced order unscented Kalman filtering from regional volumes, Med. Image Anal., 17, 816, 10.1016/j.media.2013.04.012 Moss, 2009, MADIT-CRT Trial Investigators. Cardiacresynchronization therapy for the prevention of heart-failure events, N. Engl. J. Med., 361, 1329, 10.1056/NEJMoa0906431 Nichols, 1980, Vascular load defined by the aortic input impedance spectrum, Fed. Proc., 39, 196 Niederer, 2012, Analyses of the redistribution of work following cardiac resynchronization therapy in a patient specific model, PLoS ONE, 7, e43504, 10.1371/journal.pone.0043504 Niederer, 2011, Length-dependent tension in the failing heart and the efficacy of cardiac resynchronization therapy, Cardiovasc. Res., 89, 336, 10.1093/cvr/cvq318 Niederer, 2012, Biophysical modeling to simulate the response to multisite left ventricular stimulation using a quadripolar pacing lead, Pacing. Clin. Electrophysiol., 35, 204, 10.1111/j.1540-8159.2011.03243.x O'Rourke, 1967, Input impedance of the systemic circulation, Circ Res, 20, 365, 10.1161/01.RES.20.4.365 Okada, 2015, Screening system for drug-induced arrhythmogenic risk combining a patch clamp and heart simulator, Sci. Adv., 1, 10.1126/sciadv.1400142 Okada, 2013, Patient specific simulation of body surface ECG using the finite element method, Pacing. Clin. Electrophysiol., 36, 309, 10.1111/pace.12057 Okada, 2011, Transmural and apicobasal gradients in repolarization contribute to T-wave genesis in human surface ECG, Am. J. Physiol., 301, H200 Padeletti, 2012, Acute hemodynamic effect of left ventricular endocardial pacing in cardiac resynchronization therapy: assessment by pressure-volume loops, Circ. Arrhythm. Electrophysiol., 5, 460, 10.1161/CIRCEP.111.970277 Panescu, 1995, Optimization of cardiac defibrillation by three-dimensional finite element modeling of the human thorax, IEEE Trans. Biomed. Eng., 42, 185, 10.1109/10.341831 Pitzalis, 2002, Cardiac resynchronization therapy tailored by echocardiographic evaluation of ventricular asynchrony, J. Am. Coll. Cardiol., 40, 1615, 10.1016/S0735-1097(02)02337-9 Prinzen, 2013, Cardiac resynchronization therapy state-of-the-art of current applications, guidelines, ongoing trials, and areas of controversy, Circulation, 128, 2407, 10.1161/CIRCULATIONAHA.112.000112 Rice, 2003, Ising model of cardiac thin filament activation with nearest-neighbor cooperative interactions, Biophys. J., 84, 897, 10.1016/S0006-3495(03)74907-8 Sermesant, 2012, Patient-specific electromechanical models of the heart for the prediction of pacing acute effects in CRT: a preliminary clinical validation, Med. Image. Anal., 16, 201, 10.1016/j.media.2011.07.003 Stewart, 2009, Mathematical models of the electrical action potential of Purkinje fibre cells, Philos. Trans. A. Math. Phys. Eng. Sci., 367, 2225, 10.1098/rsta.2008.0283 Strik, 2012, Endocardial left ventricular pacing improves cardiac resynchronization therapy in chronic asynchronous infarction and heart failure models, Circ. Arrhythm. Electrophysiol., 5, 191, 10.1161/CIRCEP.111.965814 Suga, 1974, Instantaneous pressure-volume relationships and their ratio in the excised, supported canine left ventricle, Circ. Res., 35, 117, 10.1161/01.RES.35.1.117 Sugiura, 2012, Multi-scale simulations of cardiac electrophysiology and mechanics using the University of Tokyo heart simulator, Prog. Biophys. Mol. Biol., 110, 380, 10.1016/j.pbiomolbio.2012.07.001 Sunagawa, 1983, Left ventricular interaction with arterial load studies in isolated canine ventricle, Am. J. Phyisol., 245, H773 Tang, 2010, Cardiac resynchronization therapy for mild-to-moderate heart failure, N. Engl. J. Med., 363, 2385, 10.1056/NEJMoa1009540 Tobon-Gomez, 2013, Understanding the mechanisms amenable to CRT response: from pre-operative multimodal image data to patient-specific computational models, Med. Biol. Eng. Comput., 51, 1235, 10.1007/s11517-013-1044-7 Washio, 2010, A parallel multilevel technique for solving the bidomain equation on a human heart with Purkinje fibers and a torso model, SIAM Rev. Soc. Ind. Appl. Math., 52, 717 Washio, 2012, Approximation for cooperative interactions of a spatially-detailed cardiac sarcomere model, Cell. Mol. Bioeng, 5, 113, 10.1007/s12195-011-0219-2 Washio, 2013, Multiscale heart simulation with cooperative stochastic cross-bridge dynamics and cellular structures, Multiscale. Model. Simul., 11, 965, 10.1137/120892866 Watanabe, 2004, Finite element analysis of ventricular wall motion and intra-ventricular blood flow in heart with myocardial infarction, JSME Int. J. C., 47, 1019, 10.1299/jsmec.47.1019 Watanabe, 2008, The looped heart does not save energy by maintaining the momentum of blood flowing in the ventricle, Am. J. Physiol., 294, H2191 Watanabe, 2004, Multiphysics simulation of left ventricular filling dynamics using fluid-structure interaction finite element method, Biophys. J., 87, 2074, 10.1529/biophysj.103.035840 Westerhof, 1971, An artificial arterial system for pumping hearts, J. Appl. Physiol., 36, 123 Williams, 2009, Short-term hemodynamic effects of cardiac resynchronization therapy in patients with heart failure, a narrow QRS duration, and no dyssynchrony, Circulation, 120, 1687, 10.1161/CIRCULATIONAHA.108.799395 Young, 2003, Combined cardiac resynchronization and implantable cardioversion defibrillation in advanced chronic heart failure: the MIRACLE ICD Trial, JAMA, 289, 2685, 10.1001/jama.289.20.2685 Yu, 2013, Cardiac resynchronization therapy: state of the art 2013, Eur. Heart J., 34, 1396, 10.1093/eurheartj/ehs454 Yu, 2010, Echocardiography, dyssynchrony, and the response to cardiac resynchronization therapy, Eur. Heart J., 31, 2326, 10.1093/eurheartj/ehq263 Zareba, 2011, Effectiveness of cardiac resynchronization therapy by QRS morphology in the multicenter automatic defibrillator implantation trial-cardiac resynchronization therapy (MADIT-CRT), Circulation, 123, 1061, 10.1161/CIRCULATIONAHA.110.960898