Tachycardia in Post-Infarction Hearts: Insights from 3D Image-Based Ventricular Models

PLoS ONE

Volumn 8, Issue 7, 2013, Pages

  Arevalo, Hermenegild ^a   Plank, Gernot ^b   Helm, Patrick ^c   Halperin, Henry ^d   Trayanova, Natalia ^a  

^a Johns Hopkins University   (United States)

^b MEDICAL UNIVERSITY OF GRAZ   (Austria)

^c MEDTRONIC INC   (United States)

^d JOHNS HOPKINS UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANIMAL EXPERIMENT; ANIMAL MODEL; ANIMAL TISSUE; ARTICLE; CARDIOVASCULAR RISK; CONTROLLED STUDY; DOG; DRESSLER SYNDROME; ELECTROPHYSIOLOGY; HEART ARRHYTHMIA; HEART FUNCTION; HEART INFARCTION SIZE; HEART SURGERY; HEART VENTRICLE TACHYCARDIA; INFARCT GRAY ZONE SIZE; MORPHOLOGY; NECROSIS; NONHUMAN; NUCLEAR MAGNETIC RESONANCE IMAGING; SIMULATION; THREE DIMENSIONAL IMAGING;

ANIMALS; DOGS; ELECTROCARDIOGRAPHY; HEART; HUMANS; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; MODELS, CARDIOVASCULAR; MYOCARDIAL INFARCTION; MYOCARDIUM; REPRODUCIBILITY OF RESULTS; TACHYCARDIA; TACHYCARDIA, VENTRICULAR;

EID: 84879754315     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0068872     Document Type: Article

References (55)

1. Zipes DP, Wellens HJ, (1998) Sudden cardiac death. Circulation 98: 2334-2351.
2. Zipes DP, Camm AJ, Borggrefe M, Buxton AE, Chaitman B, et al. (2006) ACC/AHA/ESC 2006 guidelines for management of patients with ventricular arrhythmias and the prevention of sudden cardiac death-executive summary: A report of the american college of Cardiology/American heart association task force and the european society of cardiology committee for practice guidelines (writing committee to develop guidelines for management of patients with ventricular arrhythmias and the prevention of sudden cardiac death) developed in collaboration with the european heart rhythm association and the heart rhythm society Eur Heart J. 27: 2099-2140.
3. Curtis JP, (2009) Association of physician certification and outcomes among patients receiving an implantable cardioverter-defibrillator JAMA: The Journal of the American Medical Association. 301: 1661-1670.
4. Brignole M, (2009) Are complications of implantable defibrillators under-estimated and benefits over-estimated? Europace 11: 1129-1133.
5. Epstein AE, DiMarco JP, Ellenbogen KA, Estes NA 3rd, Freedman RA, et al (2008) ACC/AHA/HRS 2008 guidelines for device-based therapy of cardiac rhythm abnormalities: A report of the american college of Cardiology/American heart association task force on practice guidelines (writing committee to revise the ACC/AHA/NASPE 2002 guideline update for implantation of cardiac pacemakers and antiarrhythmia devices): Developed in collaboration with the american association for thoracic surgery and society of thoracic surgeons Circulation. 117: e350-408.
6. Fieno DS, Kim RJ, Chen EL, Lomasney JW, Klocke FJ, et al. (2000) Contrast-enhanced magnetic resonance imaging of myocardium at risk: Distinction between reversible and irreversible injury throughout infarct healing J Am Coll Cardiol. 36: 1985-1991.
7. Kim RJ, Fieno DS, Parrish TB, Harris K, Chen EL, et al. (1999) Relationship of MRI delayed contrast enhancement to irreversible injury, infarct age, and contractile function Circulation. 100: 1992-2002.
8. Wu E, Judd RM, Vargas JD, Klocke FJ, Bonow RO, et al. (2001) Visualisation of presence, location, and transmural extent of healed Q-wave and non-Q-wave myocardial infarction Lancet. 357: 21-28.
9. Simonetti OP, Kim RJ, Fieno DS, Hillenbrand HB, Wu E, et al. (2001) An improved MR imaging technique for the visualization of myocardial infarction Radiology. 218: 215-223.
10. Yan AT, Shayne AJ, Brown KA, Gupta SN, Chan CW, et al. (2006) Characterization of the peri-infarct zone by contrast-enhanced cardiac magnetic resonance imaging is a powerful predictor of post-myocardial infarction mortality. Circulation 114: 32-39.
11. Roes SD, Borleffs CJ, van der Geest RJ, Westenberg JJ, Marsan NA, et al. (2009) Infarct tissue heterogeneity assessed with contrast-enhanced MRI predicts spontaneous ventricular arrhythmia in patients with ischemic cardiomyopathy and implantable cardioverter-defibrillator Circ Cardiovasc Imaging. 2: 183-190.
12. Schmidt A, Azevedo CF, Cheng A, Gupta SN, Bluemke DA, et al. (2007) Infarct tissue heterogeneity by magnetic resonance imaging identifies enhanced cardiac arrhythmia susceptibility in patients with left ventricular dysfunction. Circulation 115: 2006-2014.
13. Arheden H, Saeed M, Higgins CB, Gao DW, Ursell PC, et al. (2000) Reperfused rat myocardium subjected to various durations of ischemia: Estimation of the distribution volume of contrast material with echo-planar MR imaging Radiology. 215: 520-528.
14. Estner HL, Zviman MM, Herzka D, Miller F, Castro V, et al. (2011) The critical isthmus sites of ischemic ventricular tachycardia are in zones of tissue heterogeneity, visualized by magnetic resonance imaging Heart Rhythm. 8: 1942-1949.
15. Ashikaga H, Sasano T, Dong J, Zviman MM, Evers R, et al. (2007) Magnetic resonance-based anatomical analysis of scar-related ventricular tachycardia: Implications for catheter ablation Circ Res. 101: 939-947.
16. Vadakkumpadan F, Arevalo H, Prassl AJ, Chen J, Kickinger F, et al. (2010) Image-based models of cardiac structure in health and disease Wiley Interdisciplinary Reviews: Systems Biology and Medicine. 2: 489-506.
17. Basser PJ, Mattiello J, LeBihan D, (1994) MR diffusion tensor spectroscopy and imaging. Biophys J 66: 259-267.
18. Strijkers GJ, Bouts A, Blankesteijn WM, Peeters TH, Vilanova A, et al. (2009) Diffusion tensor imaging of left ventricular remodeling in response to myocardial infarction in the mouse NMR Biomed. 22: 182-190.
19. Lima JA, Judd RM, Bazille A, Schulman SP, Atalar E, et al. (1995) Regional heterogeneity of human myocardial infarcts demonstrated by contrast-enhanced MRI. potential mechanisms Circulation 92: 1117-1125.
20. Prassl A, Kickinger F, Ahammer H, Grau V, Schneider J, et al. (2009) Automatically generated, anatomically accurate meshes for cardiac electrophysiology problems. IEEE Trans Biomed Eng 56: 1318-1330.
21. Rocha BM, Kickinger F, Prassl AJ, Haase G, Vigmond EJ, et al. (2011) A macro finite-element formulation for cardiac electrophysiology simulations using hybrid unstructured grids IEEE Trans Biomed Eng. 58: 1055-1065.
22. Moreno JD, Zhu ZI, Yang PC, Bankston JR, Jeng MT, et al. (2011) A computational model to predict the effects of class I anti-arrhythmic drugs on ventricular rhythms Sci Transl Med. 3: 98ra83.
23. McDowell KS, Arevalo HJ, Maleckar MM, Trayanova NA, (2011) Susceptibility to arrhythmia in the infarcted heart depends on myofibroblast density Biophys J. 101: 1307-1315.
24. Gurev V, Lee T, Constantino J, Arevalo H, Trayanova NA, (2011) Models of cardiac electromechanics based on individual hearts imaging data: Image-based electromechanical models of the heart Biomech Model Mechanobiol. 10: 295-306.
25. Plank G, Zhou L, Greenstein JL, Cortassa S, Winslow RL, et al. (2008) From mitochondrial ion channels to arrhythmias in the heart: Computational techniques to bridge the spatio-temporal scales Philos Transact A Math Phys Eng Sci. 366: 3381-3409.
26. Bishop M, Plank G, (2011) Representing cardiac bidomain bath-loading effects by an augmented monodomain approach: Application to complex ventricular models IEEE Trans Biomed Eng. 58: 1066-1075.
27. Roberts DE, Hersh LT, Scher AM, (1979) Influence of cardiac fiber orientation on wavefront voltage, conduction velocity, and tissue resistivity in the dog. Circ Res 44: 701-712.
28. Yao J, Hussain W, Patel P, Peters N, Boyden P, et al. (2003) Remodeling of gap junctional channel function in epicardial border zone of healing canine infarcts. Circ Res 92: 437-443.
29. Luo C, Rudy Y, (1994) A dynamic model of the cardiac ventricular action potential. II. afterdepolarizations, triggered activity, and potentiation. Circ Res 74: 1097-1113.
30. Arevalo H, Rodriguez B, Trayanova N, (2007) Arrhythmogenesis in the heart: Multiscale modeling of the effects of defibrillation shocks and the role of electrophysiological heterogeneity. Chaos 17: 015103.
31. Kleber AG, Rudy Y, (2004) Basic mechanisms of cardiac impulse propagation and associated arrhythmias Physiol Rev. 84: 431-488.
32. Qu Z, Weiss JN, Garfinkel A, (1999) Cardiac electrical restitution properties and stability of reentrant spiral waves: A simulation study Am J Physiol. 276: H269-83.
33. Rodriguez B, Tice BM, Eason JC, Aguel F, Ferrero Jr JM, et al. (2004) Effect of acute global ischemia on the upper limit of vulnerability: A simulation study. Am J Physiol 286: H2078-H2088.
34. Pu J, Boyden P, (1997) Alterations of Na+ currents in myocytes from epicardial border zone of the infarcted heart. A possible ionic mechanism for reduced excitability and postrepolarization refractoriness. Circ Res 81: 110-119.
35. Dun W, Baba S, Yagi T, Boyden PA, (2004) Dynamic remodeling of K+ and Ca2+ currents in cells that survived in the epicardial border zone of canine healed infarcted heart. Am J Physiol Heart Circ Physiol 287: H1046-54.
36. Jiang M, Cabo C, Yao J, Boyden P, Tseng G, (2000) Delayed rectifier K currents have reduced amplitudes and altered kinetics in myocytes from infarcted canine ventricle. Cardiovasc Res 48: 34-43.
37. Decker KF, Rudy Y, (2010) Ionic mechanisms of electrophysiological heterogeneity and conduction block in the infarct border zone Am J Physiol Heart Circ Physiol. 299: H1588-97.
38. Ursell P, Gardner P, Albala A, Wit A, (1985) Structural and electrophysiological changes in the epicardial border zone of myocardial infarcts during infarct healing. Circ Res 56: 436-452.
39. Haralick RM, Sternberg SR, Zhuang X, (1987) Image analysis using mathematical morphology IEEE Trans Pattern Anal Mach Intell. 9: 532-550.
40. Vigmond E, Hughes M, Plank G, Leon LJ, (2003) Computational tools for modeling electrical activity in cardiac tissue. J Electrocardiol 36: 69-74.
41. Vigmond EJ, Weber dos Santos R, Prassl AJ, Deo M, Plank G, (2008) Solvers for the cardiac bidomain equations Prog Biophys Mol Biol. 96: 3-18.
42. Sasano T, McDonald AD, Kikuchi K, Donahue JK, (2006) Molecular ablation of ventricular tachycardia after myocardial infarction. 12: 1256-1258.
43. Gima K, Rudy Y, (2002) Ionic current basis of electrocardiographic waveforms: A model study. Circ Res 90: 889-896.
44. Winfree AT (1987) When time breaks down: The three-dimensional dynamics of electrochemical waves and cardiac arrhythmias Princeton, N.J.: Princeton University Press. 339 p.
45. Larson C, Dragnev L, Trayanova N, (2003) Analysis of electrically-induced reentrant circuits in a sheet of myocardium. Ann Biomed Eng 31: 768-780.
46. Engelman ZJ, Trew ML, Smaill BH, (2010) Structural heterogeneity alone is a sufficient substrate for dynamic instability and altered restitution Circ Arrhythm Electrophysiol. 3: 195-203.
47. Ng J, Jacobson JT, Ng JK, Gordon D, Lee DC, et al. (2012) Virtual electrophysiological study in a 3-dimensional cardiac magnetic resonance imaging model of porcine myocardial infarction J Am Coll Cardiol. 60: 423-430.
48. Greener ID, Sasano T, Wan X, Igarashi T, Strom M, et al. (2012) Connexin43 gene transfer reduces ventricular tachycardia susceptibility after myocardial infarction J Am Coll Cardiol. 60: 1103-1110.
49. Igarashi T, Finet JE, Takeuchi A, Fujino Y, Strom M, et al. (2012) Connexin gene transfer preserves conduction velocity and prevents atrial fibrillation Circulation. 125: 216-225.
50. Smith J, Green C, Peters N, Rothery S, Severs N, (1991) Altered patters of gap junction distribution in ischemic heart disease. an immunohistochemical study of human myocardium using laser scanning confocal microscopy. Am J Pathol 139: 801-821.
51. de Bakker JM, van Rijen HM, (2006) Continuous and discontinuous propagation in heart muscle. J Cardiovasc Electrophysiol 17: 567-573.
52. de Bakker JM, van Capelle FJ, Janse MJ, Tasseron S, Vermeulen JT, et al. (1993) Slow conduction in the infarcted human heart. 'zigzag' course of activation. Circulation 88: 915-926.
53. Rutherford SL, Trew ML, Sands GB, LeGrice IJ, Smaill BH, (2012) High-resolution 3-dimensional reconstruction of the infarct border zone: Impact of structural remodeling on electrical activation [integrative physiology] Circ Res. 111: 301-311.
54. Peters N, Severs N, Coromilas J, Wit A, (1997) Disturbed connexin43 gap junctional distribution correlates with the location of reentrant circuits in the epicardial border zone of healing canine infarcts that cause ventricular tachycardia. Circulation 95: 988-996.
55. Cabo C, Yao J, Boyden PA, Chen S, Hussain W, et al. (2006) Heterogeneous gap junction remodeling in reentrant circuits in the epicardial border zone of the healing canine infarct. 72: 241-249.