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Open Access 01-11-2016

Personalised computational cardiology: Patient-specific modelling in cardiac mechanics and biomaterial injection therapies for myocardial infarction

Authors: Kevin L. Sack, Neil H. Davies, Julius M. Guccione, Thomas Franz

Published in: Heart Failure Reviews | Issue 6/2016

Abstract

Predictive computational modelling in biomedical research offers the potential to integrate diverse data, uncover biological mechanisms that are not easily accessible through experimental methods and expose gaps in knowledge requiring further research. Recent developments in computing and diagnostic technologies have initiated the advancement of computational models in terms of complexity and specificity. Consequently, computational modelling can increasingly be utilised as enabling and complementing modality in the clinic—with medical decisions and interventions being personalised. Myocardial infarction and heart failure are amongst the leading causes of death globally despite optimal modern treatment. The development of novel MI therapies is challenging and may be greatly facilitated through predictive modelling. Here, we review the advances in patient-specific modelling of cardiac mechanics, distinguishing specificity in cardiac geometry, myofibre architecture and mechanical tissue properties. Thereafter, the focus narrows to the mechanics of the infarcted heart and treatment of myocardial infarction with particular attention on intramyocardial biomaterial delivery.

WHO (2011) Global status report on noncommunicable diseases 2010: Description of the global burden of NCDs, their risk factors and determinants. World Health Organization, Geneva

Mathers CD, Loncar D (2006) Projections of global mortality and burden of disease from 2002 to 2030. PLoS Med 3(11):e442. doi:10.1371/journal.pmed.0030442 PubMedPubMedCentralCrossRef

Trayanova NA (2011) Whole-heart modeling: applications to cardiac electrophysiology and electromechanics. Circ Res 108(1):113–128. doi:10.1161/circresaha.110.223610 PubMedPubMedCentralCrossRef

Meier G, Besson R, Nanz A, Safai S, Lomax AJ (2015) Independent dose calculations for commissioning, quality assurance and dose reconstruction of PBS proton therapy. Phys Med Biol 60(7):2819–2836. doi:10.1088/0031-9155/60/7/2819 PubMedCrossRef

Balasso A, Bauer JS, Liebig T, Dorn F, Zimmer C, Liepsch D, Prothmann S (2015) Evaluation of intra-aneurysmal hemodynamics after flow diverter placement in a patient-specific aneurysm model. Biorheology 51(6):341–354. doi:10.3233/bir-14019 CrossRef

Goyal N, Stulberg SD (2015) Evaluating the precision of preoperative planning in patient specific instrumentation: can a single MRI yield different preoperative plans? The Journal of arthroplasty 30(7):1250–1253. doi:10.1016/j.arth.2015.02.021 PubMedCrossRef

Arts T, Reneman RS, Veenstra PC (1979) A model of the mechanics of the left ventricle. Ann Biomed Eng 7(3–4):299–318PubMedCrossRef

Streeter DD Jr, Hanna WT (1973) Engineering mechanics for successive states in canine left ventricular myocardium. II. Fiber angle and sarcomere length. Circ Res 33(6):656–664PubMedCrossRef

Janz RF, Grimm AF (1972) Finite-element model for the mechanical behavior of the left ventricle. Prediction of deformation in the potassium-arrested rat heart. Circ Res 30(2):244–252PubMedCrossRef

10.

Okajima M, Fujino T, Kobayashi T, Yamada K (1968) Computer simulation of the propagation process in excitation of the ventricles. Circ Res 23(2):203–211PubMedCrossRef

11.

Wei D (1997) Whole-heart modeling: progress, principles and applications. Prog Biophys Mol Biol 67(1):17–66PubMedCrossRef

12.

Nielsen PM, Le Grice IJ, Smaill BH, Hunter PJ (1991) Mathematical model of geometry and fibrous structure of the heart. Am J Physiol 260(4 Pt 2):H1365–1378PubMed

13.

Stevens C, Remme E, LeGrice I, Hunter P (2003) Ventricular mechanics in diastole: material parameter sensitivity. J Biomech 36(5):737–748PubMedCrossRef

14.

Baillargeon B, Rebelo N, Fox DD, Taylor RL, Kuhl E (2014) The living heart project: a robust and integrative simulator for human heart function. Eur J Mech A Solids 48:38–47. doi:10.1016/j.euromechsol.2014.04.001 PubMedPubMedCentralCrossRef

15.

Young AA, Frangi AF (2009) Computational cardiac atlases: from patient to population and back. Exp Physiol 94(5):578–596. doi:10.1113/expphysiol.2008.044081 PubMedCrossRef

16.

Buckberg G, Mahajan A, Saleh S, Hoffman JI, Coghlan C (2008) Structure and function relationships of the helical ventricular myocardial band. J Thorac Cardiovasc Surg 136(3):578–589. doi:10.1016/j.jtcvs.2007.10.088 (589 e571–511) PubMedCrossRef

17.

Gilbert SH, Benson AP, Li P, Holden AV (2007) Regional localisation of left ventricular sheet structure: integration with current models of cardiac fibre, sheet and band structure. Eur J Cardio-thorac Surg 32(2):231–249. doi:10.1016/j.ejcts.2007.03.032 CrossRef

18.

Pope AJ, Sands GB, Smaill BH, LeGrice IJ (2008) Three-dimensional transmural organization of perimysial collagen in the heart. Am J Physiol Heart Circ Physiol 295(3):H1243–H1252. doi:10.1152/ajpheart.00484.2008 PubMedPubMedCentralCrossRef

19.

LeGrice I, Hunter P, Young A, Small B (2001) The architecture of the heart: a data-based model. Philos Trans R Soc A 359(1783):1217–1232. doi:10.1098/rsta.2001.0827 CrossRef

20.

Lombaert H, Peyrat JM, Croisille P, Rapacchi S, Fanton L, Cheriet F, Clarysse P, Magnin I, Delingette H, Ayache N (2012) Human atlas of the cardiac fiber architecture: study on a healthy population. IEEE Trans Med Imaging 31(7):1436–1447. doi:10.1109/TMI.2012.2192743 PubMedCrossRef

21.

Wang HM, Gao H, Luo XY, Berry C, Griffith BE, Ogden RW, Wang TJ (2013) Structure-based finite strain modelling of the human left ventricle in diastole. Int J Numer Methods Biomed Eng 29(1):83–103. doi:10.1002/cnm.2497 CrossRef

22.

Genet M, Lee LC, Nguyen R, Haraldsson H, Acevedo-Bolton G, Zhang Z, Ge L, Ordovas K, Kozerke S, Guccione JM (2014) Distribution of normal human left ventricular myofiber stress at end-diastole and end-systole-a target for in silico design of heart failure treatments. J Appl Physiol 117(2):142–152. doi:10.1152/japplphysiol.00255.2014 PubMedPubMedCentralCrossRef

23.

Wong J, Kuhl E (2014) Generating fibre orientation maps in human heart models using Poisson interpolation. Comput Methods Biomech Biomed Eng 17(11):1217–1226. doi:10.1080/10255842.2012.739167 CrossRef

24.

Wang VY, Lam HI, Ennis DB, Cowan BR, Young AA, Nash MP (2009) Modelling passive diastolic mechanics with quantitative MRI of cardiac structure and function. Med Image Anal 13(5):773–784. doi:10.1016/j.media.2009.07.006 PubMedCrossRef

25.

Krishnamurthy A, Villongco CT, Chuang J, Frank LR, Nigam V, Belezzuoli E, Stark P, Krummen DE, Narayan S, Omens JH, McCulloch AD, Kerckhoffs RC (2013) Patient-specific models of cardiac biomechanics. J Comput Phys 244:4–21. doi:10.1016/j.jcp.2012.09.015 PubMedCrossRef

26.

Toussaint N, Stoeck CT, Schaeffter T, Kozerke S, Sermesant M, Batchelor PG (2013) In vivo human cardiac fibre architecture estimation using shape-based diffusion tensor processing. Med Image Anal 17(8):1243–1255. doi:10.1016/j.media.2013.02.008 PubMedCrossRef

27.

Bovendeerd PH, Arts T, Huyghe JM, van Campen DH, Reneman RS (1992) Dependence of local left ventricular wall mechanics on myocardial fiber orientation: a model study. J Biomech 25(10):1129–1140. doi:10.1016/0021-9290(92)90069-D PubMedCrossRef

28.

Chen J, Liu W, Zhang H, Lacy L, Yang X, Song SK, Wickline SA, Yu X (2005) Regional ventricular wall thickening reflects changes in cardiac fiber and sheet structure during contraction: quantification with diffusion tensor MRI. Am J Physiol Heart Circ Physiol 289(5):H1898–1907. doi:10.1152/ajpheart.00041.2005 PubMedCrossRef

29.

Sack KL, Skatulla S, Sansour C (2015) Biological tissue mechanics with fibres modelled as one-dimensional Cosserat continua. Applications to cardiac tissue. Int J Solids Struct. doi:10.1016/j.ijsolstr.2015.11.009

30.

Eriksson TS, Prassl AJ, Plank G, Holzapfel GA (2013) Modeling the dispersion in electromechanically coupled myocardium. Int J Numer Methods Biomed Eng 29(11):1267–1284. doi:10.1002/cnm.2575 CrossRef

31.

Holzapfel GA, Gasser TC, Ogden RW (2000) A new constitutive framework for arterial wall mechanics and a comparative study of material models. J Elast 61(1–3):1–48. doi:10.1023/A:1010835316564 CrossRef

32.

Humphrey JD (2003) Review paper: continuum biomechanics of soft biological tissues. Proc R Soc A Math Phys Eng Sci 459(2029):3–46. doi:10.1098/rspa.2002.1060 CrossRef

33.

Sacks MS (2000) Biaxial mechanical evaluation of planar biological materials. J Elast 61(1–3):199–246. doi:10.1023/A:1010917028671 CrossRef

34.

Humphrey JD, Yin FC (1987) A new constitutive formulation for characterizing the mechanical behavior of soft tissues. Biophys J 52(4):563–570. doi:10.1016/S0006-3495(87)83245-9 PubMedPubMedCentralCrossRef

35.

Costa KD, Holmes JW, McCulloch AD (2001) Modelling cardiac mechanical properties in three dimensions. Philos Trans R Soc A 359(1783):1233–1250. doi:10.1098/rsta.2001.0828 CrossRef

36.

Kerckhoffs RC, Faris OP, Bovendeerd PH, Prinzen FW, Smits K, McVeigh ER, Arts T (2003) Timing of depolarization and contraction in the paced canine left ventricle: model and experiment. J Cardiovasc Electrophysiol 14(10 Suppl):S188–195PubMedCrossRef

37.

Usyk T, McCulloch A (2003) Computational methods for soft tissue biomechanics. In: Holzapfel G, Ogden R (eds) Biomechanics of soft tissue in cardiovascular systems, vol 441. International Centre for Mechanical Sciences. Springer Vienna, pp 273–342. doi:10.1007/978-3-7091-2736-0_7

38.

Holzapfel GA, Ogden RW (2009) Constitutive modelling of passive myocardium: a structurally based framework for material characterization. Philos Trans Ser A Math Phys Eng Sci 367(1902):3445–3475. doi:10.1098/rsta.2009.0091 CrossRef

39.

Göktepe S, Acharya SNS, Wong J, Kuhl E (2011) Computational modeling of passive myocardium. Int J Numer Methods Biomed Eng 27(1):1–12. doi:10.1002/cnm.1402 CrossRef

40.

Nikou A, Dorsey SM, McGarvey JR, Gorman JH 3rd, Burdick JA, Pilla JJ, Gorman RC, Wenk JF (2015) Computational modeling of healthy myocardium in diastole. Ann Biomed Eng. doi:10.1007/s10439-015-1403-7 PubMed

41.

Guccione JM, Waldman LK, McCulloch AD (1993) Mechanics of active contraction in cardiac muscle: part II–cylindrical models of the systolic left ventricle. J Biomech Eng 115(1):82–90PubMedCrossRef

42.

Usyk TP, Mazhari R, McCulloch AD (2000) Effect of laminar orthotropic myofiber architecture on regional stress and strain in the canine left ventricle. J Elasticity 61(1–3):143–164. doi:10.1023/A:1010883920374 CrossRef

43.

Lee LC, Ge L, Zhang Z, Pease M, Nikolic SD, Mishra R, Ratcliffe MB, Guccione JM (2014) Patient-specific finite element modeling of the Cardiokinetix Parachute^® device: effects on left ventricular wall stress and function. Med Biol Eng Comput 52(6):557–566. doi:10.1007/s11517-014-1159-5 PubMedPubMedCentralCrossRef

44.

Ambrosi D, Pezzuto S (2012) Active stress vs. active strain in mechanobiology: constitutive issues. J Elast 107(2):199–212. doi:10.1007/s10659-011-9351-4 CrossRef

45.

Rossi S, Ruiz-Baier R, Pavarino LF, Quarteroni A (2012) Orthotropic active strain models for the numerical simulation of cardiac biomechanics. Int J Numer Methods Biomed Eng 28(6–7):761–788. doi:10.1002/cnm.2473 CrossRef

46.

Berberoğlu E, Solmaz HO, Göktepe S (2014) Computational modeling of coupled cardiac electromechanics incorporating cardiac dysfunctions. Eur J Mech A Solids 48:60–73CrossRef

47.

Göktepe S, Kuhl E (2009) Electromechanics of the heart: a unified approach to the strongly coupled excitation–contraction problem. Comput Mech 45(2–3):227–243. doi:10.1007/s00466-009-0434-z

48.

Lafortune P, Aris R, Vazquez M, Houzeaux G (2012) Coupled electromechanical model of the heart: parallel finite element formulation. Int J Numer Methods Biomed Eng 28(1):72–86. doi:10.1002/Cnm.1494 CrossRef

49.

Sainte-Marie J, Chapelle D, Cimrman R, Sorine M (2006) Modeling and estimation of the cardiac electromechanical activity. Comput Struct 84(28):1743–1759. doi:10.1016/j.compstruc.2006.05.003 CrossRef

50.

Kerckhoffs RC, Bovendeerd PH, Kotte JC, Prinzen FW, Smits K, Arts T (2003) Homogeneity of cardiac contraction despite physiological asynchrony of depolarization: a model study. Ann Biomed Eng 31(5):536–547. doi:10.1114/1.1566447 PubMedCrossRef

51.

Nordsletten DA, Niederer SA, Nash MP, Hunter PJ, Smith NP (2011) Coupling multi-physics models to cardiac mechanics. Prog Biophys Mol Biol 104(1–3):77–88. doi:10.1016/j.pbiomolbio.2009.11.001 PubMedCrossRef

52.

Niederer SA, Plank G, Chinchapatnam P, Ginks M, Lamata P, Rhode KS, Rinaldi CA, Razavi R, Smith NP (2011) Length-dependent tension in the failing heart and the efficacy of cardiac resynchronization therapy. Cardiovasc Res 89(2):336–343. doi:10.1093/cvr/cvq318 PubMedCrossRef

53.

Rosolen AM, Ordas S, Vazquez M, Frangi AF (2006) Numerical schemes for the simulation of three-dimensional cardiac electrical propagation in patient-specific ventricular geometries. Paper presented at the European conference on computational fluid dynamics ECCOMAS CFD 2006

54.

Sun K, Stander N, Jhun CS, Zhang Z, Suzuki T, Wang GY, Saeed M, Wallace AW, Tseng EE, Baker AJ, Saloner D, Einstein DR, Ratcliffe MB, Guccione JM (2009) A computationally efficient formal optimization of regional myocardial contractility in a sheep with left ventricular aneurysm. J Biomech Eng 131(11):111001. doi:10.1115/1.3148464 PubMedPubMedCentralCrossRef

55.

Demer LL, Yin FC (1983) Passive biaxial mechanical properties of isolated canine myocardium. J Physiol 339:615–630PubMedPubMedCentralCrossRef

56.

Dokos S, Smaill BH, Young AA, LeGrice IJ (2002) Shear properties of passive ventricular myocardium. Am J Physiol Heart Circ Physiol 283(6):H2650–2659. doi:10.1152/ajpheart.00111.2002 PubMedCrossRef

57.

Remme EW, Hunter PJ, Smiseth O, Stevens C, Rabben SI, Skulstad H, Angelsen BB (2004) Development of an in vivo method for determining material properties of passive myocardium. J Biomech 37(5):669–678. doi:10.1016/j.jbiomech.2003.09.023 PubMedCrossRef

58.

Zervantonakis IK, Fung-Kee-Fung SD, Lee WN, Konofagou EE (2007) A novel, view-independent method for strain mapping in myocardial elastography: eliminating angle and centroid dependence. Phys Med Biol 52(14):4063–4080. doi:10.1088/0031-9155/52/14/004 PubMedCrossRef

59.

Xi J, Lamata P, Niederer S, Land S, Shi W, Zhuang X, Ourselin S, Duckett SG, Shetty AK, Rinaldi CA, Rueckert D, Razavi R, Smith NP (2013) The estimation of patient-specific cardiac diastolic functions from clinical measurements. Med Image Anal 17(2):133–146. doi:10.1016/j.media.2012.08.001 PubMedCrossRef

60.

Sermesant M, Moireau P, Camara O, Sainte-Marie J, Andriantsimiavona R, Cimrman R, Hill DLG, Chapelle D, Razavi R (2006) Cardiac function estimation from MRI using a heart model and data assimilation: advances and difficulties. Med Image Anal 10(4):642–656PubMedCrossRef

61.

Lee WN, Ingrassia CM, Fung-Kee-Fung SD, Costa KD, Holmes JW, Konofagou EE (2007) Theoretical quality assessment of myocardial elastography with in vivo validation. IEEE Trans Ultrason Ferroelectr Freq Control 54(11):2233–2245PubMedCrossRef

62.

Mojsejenko D, McGarvey JR, Dorsey SM, Gorman JH 3rd, Burdick JA, Pilla JJ, Gorman RC, Wenk JF (2015) Estimating passive mechanical properties in a myocardial infarction using MRI and finite element simulations. Biomech Model Mechanobiol 14(3):633–647. doi:10.1007/s10237-014-0627-z PubMedCrossRef

63.

McGarvey JR, Mojsejenko D, Dorsey SM, Nikou A, Burdick JA, Gorman JH III, Jackson BM, Pilla JJ, Gorman RC, Wenk JF (2015) Temporal changes in infarct material properties: an in vivo assessment using magnetic resonance imaging and finite element simulations. Ann Thorac Surg 100(2):582–590. doi:10.1016/j.athoracsur.2015.03.015 PubMedCrossRef

64.

Dorri F, Niederer PF, Lunkenheimer PP (2006) A finite element model of the human left ventricular systole. Comput Methods Biomech Biomed Eng 9(5):319–341. doi:10.1080/10255840600960546 CrossRef

65.

Zhang Z, Tendulkar A, Sun K, Saloner DA, Wallace AW, Ge L, Guccione JM, Ratcliffe MB (2011) Comparison of the Young-Laplace law and finite element based calculation of ventricular wall stress: implications for postinfarct and surgical ventricular remodeling. Ann Thorac Surg 91(1):150–156. doi:10.1016/j.athoracsur.2010.06.132 PubMedPubMedCentralCrossRef

66.

Shimkunas R, Zhang Z, Wenk JF, Soleimani M, Khazalpour M, Acevedo-Bolton G, Wang G, Saloner D, Mishra R, Wallace AW (2013) Left ventricular myocardial contractility is depressed in the borderzone after posterolateral myocardial infarction. Ann Thorac Surg 95(5):1619–1625PubMedPubMedCentralCrossRef

67.

Wenk JF, Eslami P, Zhang Z, Xu C, Kuhl E, Gorman JH 3rd, Robb JD, Ratcliffe MB, Gorman RC, Guccione JM (2011) A novel method for quantifying the in vivo mechanical effect of material injected into a myocardial infarction. Ann Thorac Surg 92(3):935–941. doi:10.1016/j.athoracsur.2011.04.089 PubMedPubMedCentralCrossRef

68.

Bogen DK, Rabinowitz SA, Needleman A, McMahon TA, Abelmann WH (1980) An analysis of the mechanical disadvantage of myocardial infarction in the canine left ventricle. Circ Res 47(5):728–741PubMedCrossRef

69.

Mazhari R, Omens JH, Covell JW, McCulloch AD (2000) Structural basis of regional dysfunction in acutely ischemic myocardium. Cardiovasc Res 47(2):284–293. doi:10.1016/S0008-6363(00)00089-4 PubMedCrossRef

70.

Guccione JM, Moonly SM, Moustakidis P, Costa KD, Moulton MJ, Ratcliffe MB, Pasque MK (2001) Mechanism underlying mechanical dysfunction in the border zone of left ventricular aneurysm: a finite element model study. Ann Thorac Surg 71(2):654–662PubMedCrossRef

71.

Kerckhoffs RC, Neal ML, Gu Q, Bassingthwaighte JB, Omens JH, McCulloch AD (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):1–18. doi:10.1007/s10439-006-9212-7 PubMedCrossRef

72.

Aikawa Y, Rohde L, Plehn J, Greaves SC, Menapace F, Arnold MO, Rouleau JL, Pfeffer MA, Lee RT, Solomon SD (2001) Regional wall stress predicts ventricular remodeling after anteroseptal myocardial infarction in the Healing and Early Afterload Reducing Trial (HEART): an echocardiography-based structural analysis. Am Heart J 141(2):234–242PubMedCrossRef

73.

Ratcliffe MB, Hong J, Salahieh A, Ruch S, Wallace AW (1998) The effect of ventricular volume reduction surgery in the dilated, poorly contractile left ventricle: a simple finite element analysis. J Thorac Cardiovasc Surg 116(4):566–577PubMedCrossRef

74.

Dang AB, Guccione JM, Zhang P, Wallace AW, Gorman RC, Gorman JH 3rd, Ratcliffe MB (2005) Effect of ventricular size and patch stiffness in surgical anterior ventricular restoration: a finite element model study. Ann Thorac Surg 79(1):185–193. doi:10.1016/j.athoracsur.2004.06.007 PubMedCrossRef

75.

Lee LC, Wenk JF, Zhong L, Klepach D, Zhang Z, Ge L, Ratcliffe MB, Zohdi TI, Hsu E, Navia JL, Kassab GS, Guccione JM (2013) Analysis of patient-specific surgical ventricular restoration: importance of an ellipsoidal left ventricular geometry for diastolic and systolic function. J Appl Physiol 115(1):136–144. doi:10.1152/japplphysiol.00662.2012 (1985) PubMedPubMedCentralCrossRef

76.

Zhong L, Su Y, Gobeawan L, Sola S, Tan RS, Navia JL, Ghista DN, Chua T, Guccione J, Kassab GS (2011) Impact of surgical ventricular restoration on ventricular shape, wall stress, and function in heart failure patients. Am J Physiol Heart Circ Physiol 300(5):H1653–H1660. doi:10.1152/ajpheart.00021.2011 PubMedPubMedCentralCrossRef

77.

Athanasuleas CL, Stanley AW Jr, Buckberg GD, Dor V, DiDonato M, Blackstone EH (2001) Surgical anterior ventricular endocardial restoration (SAVER) in the dilated remodeled ventricle after anterior myocardial infarction. RESTORE group. reconstructive endoventricular surgery, returning torsion original radius elliptical shape to the LV. J Am Coll Cardiol 37(5):1199–1209PubMedCrossRef

78.

Guccione JM, Salahieh A, Moonly SM, Kortsmit J, Wallace AW, Ratcliffe MB (2003) Myosplint decreases wall stress without depressing function in the failing heart: a finite element model study. Ann Thorac Surg 76(4):1171–1180 (discussion 1180) PubMedCrossRef

79.

Wenk JF, Ge L, Zhang Z, Mojsejenko D, Potter DD, Tseng EE, Guccione JM, Ratcliffe MB (2013) Biventricular finite element modeling of the Acorn CorCap Cardiac Support Device on a failing heart. Ann Thorac Surg 95(6):2022–2027. doi:10.1016/j.athoracsur.2013.02.032 PubMedPubMedCentralCrossRef

80.

Mazzaferri EL Jr, Gradinac S, Sagic D, Otasevic P, Hasan AK, Goff TL, Sievert H, Wunderlich N, Nikolic SD, Abraham WT (2012) Percutaneous left ventricular partitioning in patients with chronic heart failure and a prior anterior myocardial infarction: results of the percutaneous ventricular restoration in chronic heart failure patients trial. Am Heart J 163(5):812–820. doi:10.1016/j.ahj.2012.02.013 (e811) PubMedCrossRef

81.

Rim Y, McPherson DD, Kim H (2014) Mitral valve function following ischemic cardiomyopathy: a biomechanical perspective. Bio-Med Mater Eng 24(1):7–13. doi:10.3233/bme-130777

82.

Wong VM, Wenk JF, Zhang Z, Cheng G, Acevedo-Bolton G, Burger M, Saloner DA, Wallace AW, Guccione JM, Ratcliffe MB, Ge L (2012) The effect of mitral annuloplasty shape in ischemic mitral regurgitation: a finite element simulation. Ann Thorac Surg 93(3):776–782. doi:10.1016/j.athoracsur.2011.08.080 PubMedPubMedCentralCrossRef

83.

Carrick R, Ge L, Lee LC, Zhang Z, Mishra R, Axel L, Guccione JM, Grossi EA, Ratcliffe MB (2012) Patient-specific finite element-based analysis of ventricular myofiber stress after Coapsys: importance of residual stress. Ann Thorac Surg 93(6):1964–1971. doi:10.1016/j.athoracsur.2012.03.001 PubMedPubMedCentralCrossRef

84.

Wenk JF, Zhang Z, Cheng G, Malhotra D, Acevedo-Bolton G, Burger M, Suzuki T, Saloner DA, Wallace AW, Guccione JM, Ratcliffe MB (2010) First finite element model of the left ventricle with mitral valve: insights into ischemic mitral regurgitation. Ann Thorac Surg 89(5):1546–1553. doi:10.1016/j.athoracsur.2010.02.036 PubMedPubMedCentralCrossRef

85.

Atkins BZ, Hueman MT, Meuchel J, Hutcheson KA, Glower DD, Taylor DA (1999) Cellular cardiomyoplasty improves diastolic properties of injured heart. J Surg Res 85(2):234–242. doi:10.1006/jsre.1999.5681 PubMedCrossRef

86.

Christman KL, Fok HH, Sievers RE, Fang Q, Lee RJ (2004) Fibrin glue alone and skeletal myoblasts in a fibrin scaffold preserve cardiac function after myocardial infarction. Tissue Eng 10(3–4):403–409. doi:10.1089/107632704323061762 PubMedCrossRef

87.

Landa N, Miller L, Feinberg MS, Holbova R, Shachar M, Freeman I, Cohen S, Leor J (2008) Effect of injectable alginate implant on cardiac remodeling and function after recent and old infarcts in rat. Circulation 117(11):1388–1396. doi:10.1161/CIRCULATIONAHA.107.727420 PubMedCrossRef

88.

Plotkin M, Vaibavi SR, Rufaihah AJ, Nithya V, Wang J, Shachaf Y, Kofidis T, Seliktar D (2014) The effect of matrix stiffness of injectable hydrogels on the preservation of cardiac function after a heart attack. Biomaterials 35(5):1429–1438. doi:10.1016/j.biomaterials.2013.10.058 PubMedCrossRef

89.

Kadner K, Dobner S, Franz T, Bezuidenhout D, Sirry MS, Zilla P, Davies NH (2012) The beneficial effects of deferred delivery on the efficiency of hydrogel therapy post myocardial infarction. Biomaterials 33(7):2060–2066. doi:10.1016/j.biomaterials.2011.11.031 PubMedCrossRef

90.

Dobner S, Bezuidenhout D, Govender P, Zilla P, Davies N (2009) A synthetic non-degradable polyethylene glycol hydrogel retards adverse post-infarct left ventricular remodeling. J Cardiac Fail 15(7):629–636CrossRef

91.

Sabbah HN, Wang M, Gupta RC, Rastogi S, Ilsar I, Sabbah MS, Kohli S, Helgerson S, Lee RJ (2013) Augmentation of left ventricular wall thickness with alginate hydrogel implants improves left ventricular function and prevents progressive remodeling in dogs with chronic heart failure. JACC Heart Fail 1(3):252–258PubMedPubMedCentralCrossRef

92.

Dorsey SM, McGarvey JR, Wang H, Nikou A, Arama L, Koomalsingh KJ, Kondo N, Gorman JH III, Pilla JJ, Gorman RC, Wenk JF, Burdick JA (2015) MRI evaluation of injectable hyaluronic acid-based hydrogel therapy to limit ventricular remodeling after myocardial infarction. Biomaterials 69:65–75. doi:10.1016/j.biomaterials.2015.08.011 PubMedCrossRef

93.

Nelson DM, Ma Z, Fujimoto KL, Hashizume R, Wagner WR (2011) Intra-myocardial biomaterial injection therapy in the treatment of heart failure: materials, outcomes and challenges. Acta Biomater 7(1):1–15. doi:10.1016/j.actbio.2010.06.039 PubMedCrossRef

94.

Johnson TD, Christman KL (2013) Injectable hydrogel therapies and their delivery strategies for treating myocardial infarction. Expert Opin Drug Deliv 10(1):59–72. doi:10.1517/17425247.2013.739156 PubMedCrossRef

95.

Wall ST, Walker JC, Healy KE, Ratcliffe MB, Guccione JM (2006) Theoretical impact of the injection of material into the myocardium—a finite element model simulation. Circulation 114(24):2627–2635. doi:10.1161/Circulationaha.106.657270 PubMedCrossRef

96.

Legner D, Skatulla S, Mbew J, Rama RR, Reddy BD, Sansour C, Davies NH, Franz T (2014) Studying the influence of hydrogel injections into the infarcted left ventricle using the element-free Galerkin method. Int J Numer Methods Biomed Eng 30(3):416–429. doi:10.1002/cnm.2610 CrossRef

97.

Ifkovits JL, Tous E, Minakawa M, Morita M, Robb JD, Koomalsingh KJ, Gorman JH, Gorman RC, Burdick JA (2010) Injectable hydrogel properties influence infarct expansion and extent of postinfarction left ventricular remodeling in an ovine model. Proc Natl Acad Sci USA 107(25):11507–11512PubMedPubMedCentralCrossRef

98.

Kichula ET, Wang H, Dorsey SM, Szczesny SE, Elliott DM, Burdick JA, Wenk JF (2014) Experimental and computational investigation of altered mechanical properties in myocardium after hydrogel injection. Ann Biomed Eng 42(7):1546–1556. doi:10.1007/s10439-013-0937-9 PubMedCrossRef

99.

Wenk JF, Wall ST, Peterson RC, Helgerson SL, Sabbah HN, Burger M, Stander N, Ratcliffe MB, Guccione JM (2009) A method for automatically optimizing medical devices for treating heart failure: designing polymeric injection patterns. J Biomech Eng 131(12):121011. doi:10.1115/1.4000165 PubMedCrossRef

100.

Miller R, Davies NH, Kortsmit J, Zilla P, Franz T (2013) Outcomes of myocardial infarction hydrogel injection therapy in the human left ventricle dependent on injectate distribution. Int J Numer Methods Biomed Eng 29(8):870–884. doi:10.1002/cnm.2551 CrossRef

101.

Kortsmit J, Davies NH, Miller R, Zilla P, Franz T (2013) Computational predictions of improved of wall mechanics and function of the infarcted left ventricle at early and late remodelling stages: comparison of layered and bulk hydrogel injectates. Adv Biomech Appl 1(1):41–55CrossRef

102.

Kortsmit J, Davies NH, Miller R, Macadangdang JR, Zilla P, Franz T (2013) The effect of hydrogel injection on cardiac function and myocardial mechanics in a computational post-infarction model. Comput Methods Biomech Biomed Eng 16(11):1185–1195. doi:10.1080/10255842.2012.656611 CrossRef

103.

Sirry MS, Davies NH, Kadner K, Dubuis L, Saleh MG, Meintjes EM, Spottiswoode BS, Zilla P, Franz T (2015) Micro-structurally detailed model of a therapeutic hydrogel injectate in a rat biventricular cardiac geometry for computational simulations. Comput Methods Biomech Biomed Eng 18(3):325–331. doi:10.1080/10255842.2013.793765 CrossRef

104.

Lee LC, Wall ST, Genet M, Hinson A, Guccione JM (2014) Bioinjection treatment: effects of post-injection residual stress on left ventricular wall stress. J Biomech 47(12):3115–3119. doi:10.1016/j.jbiomech.2014.06.026 PubMedPubMedCentralCrossRef

105.

Lee RJ, Hinson A, Helgerson S, Bauernschmitt R, Sabbah HN (2013) Polymer-based restoration of left ventricular mechanics. Cell Transplant 22(3):529–533. doi:10.3727/096368911X637461 PubMedCrossRef

106.

Lee LC, Wall ST, Klepach D, Ge L, Zhang Z, Lee RJ, Hinson A, Gorman JH 3rd, Gorman RC, Guccione JM (2013) Algisyl-LVR with coronary artery bypass grafting reduces left ventricular wall stress and improves function in the failing human heart. Int J Cardiol 168(3):2022–2028. doi:10.1016/j.ijcard.2013.01.003 PubMedPubMedCentralCrossRef

107.

Göktepe S, Abilez OJ, Kuhl E (2010) A generic approach towards finite growth with examples of athlete’s heart, cardiac dilation, and cardiac wall thickening. J Mech Phys Solids 58(10):1661–1680. doi:10.1016/j.jmps.2010.07.003 CrossRef

108.

Lee LC, Genet M, Acevedo-Bolton G, Ordovas K, Guccione JM, Kuhl E (2014) A computational model that predicts reverse growth in response to mechanical unloading. Biomech Model Mechanobiol. doi:10.1007/s10237-014-0598-0

109.

Genet M, Lee LC, Baillargeon B, Guccione JM, Kuhl E (2015) Modeling pathologies of diastolic and systolic heart failure. Ann Biomed Eng. doi:10.1007/s10439-015-1351-2 PubMedPubMedCentral

110.

Rouillard AD, Holmes JW (2014) Coupled agent-based and finite-element models for predicting scar structure following myocardial infarction. Prog Biophys Mol Biol 115(2–3):235–243. doi:10.1016/j.pbiomolbio.2014.06.010 PubMedCrossRef

111.

Nam Y-J, Song K, Luo X, Daniel E, Lambeth K, West K, Hill JA, DiMaio JM, Baker LA, Bassel-Duby R (2013) Reprogramming of human fibroblasts toward a cardiac fate. Proc Natl Acad Sci USA 110(14):5588–5593PubMedPubMedCentralCrossRef

112.

Song K, Nam Y-J, Luo X, Qi X, Tan W, Huang GN, Acharya A, Smith CL, Tallquist MD, Neilson EG (2012) Heart repair by reprogramming non-myocytes with cardiac transcription factors. Nature 485(7400):599–604PubMedPubMedCentralCrossRef

113.

Miyahara Y, Nagaya N, Kataoka M, Yanagawa B, Tanaka K, Hao H, Ishino K, Ishida H, Shimizu T, Kangawa K (2006) Monolayered mesenchymal stem cells repair scarred myocardium after myocardial infarction. Nat Med 12(4):459–465PubMedCrossRef

114.

Amado LC, Saliaris AP, Schuleri KH, John MS, Xie J-S, Cattaneo S, Durand DJ, Fitton T, Kuang JQ, Stewart G (2005) Cardiac repair with intramyocardial injection of allogeneic mesenchymal stem cells after myocardial infarction. Proc Natl Acad Sci USA 102(32):11474–11479PubMedPubMedCentralCrossRef

115.

Baillargeon B, Costa I, Leach J, Lee L, Genet M, Toutain A, Wenk J, Rausch M, Rebelo N, Acevedo-Bolton G, Kuhl E, Navia J, Guccione J (2015) Human cardiac function simulator for the optimal design of a novel annuloplasty ring with a sub-valvular element for correction of ischemic mitral regurgitation. Cardiovasc Eng Tech 6(2):105–116. doi:10.1007/s13239-015-0216-z CrossRef

Title: Personalised computational cardiology: Patient-specific modelling in cardiac mechanics and biomaterial injection therapies for myocardial infarction
Authors: Kevin L. Sack
Neil H. Davies
Julius M. Guccione
Thomas Franz
Publication date: 01-11-2016
Publisher: Springer US
Published in: Heart Failure Reviews / Issue 6/2016
Print ISSN: 1382-4147
Electronic ISSN: 1573-7322
DOI: https://doi.org/10.1007/s10741-016-9528-9

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Personalised computational cardiology: Patient-specific modelling in cardiac mechanics and biomaterial injection therapies for myocardial infarction

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