The Korean Journal of Physiology and Pharmacology

The Korean Society of Pharmacology (대한약리학회)
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In silico evaluation of the acute occlusion effect of coronary artery on cardiac electrophysiology and the body surface potential map

  • Ryu, Ah-Jin (SiliconSapiens Co) ;
  • Lee, Kyung Eun (Department of Mechanical and Biomedical Engineering, Kangwon National University) ;
  • Kwon, Soon-Sung (SiliconSapiens Co) ;
  • Shin, Eun-Seok (Department of Cardiology, University of Ulsan College of Medicine) ;
  • Shim, Eun Bo (Department of Mechanical and Biomedical Engineering, Kangwon National University)
  • Received : 2018.09.18
  • Accepted : 2018.12.01
  • Published : 2019.01.01
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Abstract

Body surface potential map, an electric potential distribution on the body torso surface, enables us to infer the electrical activities of the heart. Therefore, observing electric potential projected to the torso surface can be highly useful for diagnosing heart diseases such as coronary occlusion. The BSPM for the heart of a patient show a higher level of sensitivity than 12-lead ECG. Relevant research has been mostly based on clinical statistics obtained from patients, and, therefore, a simulation for a variety of pathological phenomena of the heart is required. In this study, by using computer simulation, a body surface potential map was implemented according to various occlusion locations (distal, mid, proximal occlusion) in the left anterior descending coronary artery. Electrophysiological characteristics of the body surface during the ST segment period were observed and analyzed based on an ST isointegral map. We developed an integrated system that takes into account the cellular to organ levels, and performed simulation regarding the electrophysiological phenomena of the heart that occur during the first 5 minutes (stage 1) and 10 minutes (stage 2) after commencement of coronary occlusion. Subsequently, we calculated the bipolar angle and amplitude of the ST isointegral map, and observed the correlation between the relevant characteristics and the location of coronary occlusion. In the result, in the ventricle model during the stage 1, a wider area of ischemia led to counterclockwise rotation of the bipolar angle; and, during the stage 2, the amplitude increased when the ischemia area exceeded a certain size.

Keywords

References

  1. Boe E, Russell K, Eek C, Eriksen M, Remme EW, Smiseth OA, Skulstad H. Non-invasive myocardial work index identifies acute coronary occlusion in patients with non-ST-segment elevation-acute coronary syndrome. Eur Heart J Cardiovasc Imaging. 2015;16:1247-1255. https://doi.org/10.1093/ehjci/jev078
  2. Pursnani A, Lee AM, Mayrhofer T, Ahmed W, Uthamalingam S, Ferencik M, Puchner SB, Bamberg F, Schlett CL, Udelson J, Hoffmann U, Ghoshhajra BB. Early resting myocardial computed tomography perfusion for the detection of acute coronary syndrome in patients with coronary artery disease. Circ Cardiovasc Imaging. 2015;8:e002404.
  3. Soneson H, Engblom H, Hedstrom E, Bouvier F, Sorensson P, Pernow J, Arheden H, Heiberg E. An automatic method for quantification of myocardium at risk from myocardial perfusion SPECT in patients with acute coronary occlusion. J Nucl Cardiol. 2010;17:831-840. https://doi.org/10.1007/s12350-010-9237-z
  4. Kornreich F, Montague TJ, Rautaharju PM. Body surface potential mapping of ST segment changes in acute myocardial infarction. Implications for ECG enrollment criteria for thrombolytic therapy. Circulation . 1993;87:773-782. https://doi.org/10.1161/01.CIR.87.3.773
  5. Mirvis DM. Current status of body surface electrocardiographic mapping. Circulation. 1987;75:684-688. https://doi.org/10.1161/01.CIR.75.4.684
  6. Ambrose JA, Singh M. Pathophysiology of coronary artery disease leading to acute coronary syndromes. F1000Prime Rep. 2015;7:08. https://doi.org/10.12703/p7-08
  7. Lafont A. Basic aspects of plaque vulnerability. Heart. 2003;89:1262-1267. https://doi.org/10.1136/heart.89.10.1262
  8. Lanza GA, Careri G, Crea F. Mechanisms of coronary artery spasm. Circulation . 2011;124:1774-1782. https://doi.org/10.1161/CIRCULATIONAHA.111.037283
  9. Shaw RM, Rudy Y. Electrophysiologic effects of acute myocardial ischemia: a theoretical study of altered cell excitability and action potential duration. Cardiovasc Res. 1997;35:256-272. https://doi.org/10.1016/S0008-6363(97)00093-X
  10. ten Tusscher KH, Noble D, Noble PJ, Panfilov AV. A model for human ventricular tissue. Am J Physiol Heart Circ Physiol. 2004; 286:H1573-15789. https://doi.org/10.1152/ajpheart.00794.2003
  11. Perotti LE, Krishnamoorthi S, Borgstrom NP, Ennis DB, Klug WS. Regional segmentation of ventricular models to achieve repolarization dispersion in cardiac electrophysiology modeling. Int J Numer Method Biomed Eng. 2015;31(8):doi:10.1002/cnm.2718.
  12. Berenfeld O, Jalife J. Purkinje-muscle reentry as a mechanism of polymorphic ventricular arrhythmias in a 3-dimensional model of the ventricles. Circ Res. 1998;82:1063-1077. https://doi.org/10.1161/01.RES.82.10.1063
  13. Im UB, Kwon SS, Kim K, Lee YH, Park YK, Youn CH, Shim EB. Theoretical analysis of the magnetocardiographic pattern for reentry wave propagation in a three-dimensional human heart model. Prog Biophys Mol Biol . 2008;96:339-356. https://doi.org/10.1016/j.pbiomolbio.2007.07.024
  14. Potse M, Dube B, Vinet A. Cardiac anisotropy in boundary-element models for the electrocardiogram. Med Biol Eng Comput. 2009;47:719-729. https://doi.org/10.1007/s11517-009-0472-x
  15. Hanninen H, Takala P, Rantonen J, Makijarvi M, Virtanen K, Nenonen J, Katila T, Toivonen L. ST-T integral and T-wave amplitude in detection of exercise-induced myocardial ischemia evaluated with body surface potential mapping. J Electrocardiol. 2003;36:89-98.
  16. Rude RE, Poole WK, Muller JE, Turi Z, Rutherford J, Parker C, Roberts R, Raabe DS Jr, Gold HK, Stone PH, Willerson JT, Braunwald E. Electrocardiographic and clinical criteria for recognition of acute myocardial infarction based on analysis of 3,697 patients. Am J Cardiol. 1983;52:936-942. https://doi.org/10.1016/0002-9149(83)90508-8
  17. Kania M, Zaczek R, Zavala-Fernandez H, Janusek D, Kobylecka M, Krolicki L, Opolski G, Maniewski R. ST-segment changes in high-resolution body surface potential maps measured during exercise to assess myocardial ischemia: a pilot study. Arch Med Sci. 2014;10:1086-1090.
  18. Przyklenk K, Vivaldi MT, Schoen FJ, Malcolm J, Arnold O, Kloner RA. Salvage of ischaemic myocardium by reperfusion: importance of collateral blood flow and myocardial oxygen demand during occlusion. Cardiovasc Res. 1986;20:403-414. https://doi.org/10.1093/cvr/20.6.403
  19. Saito Y, Yasuno M, Ishida M, Suzuki K, Matoba Y, Emura M, Takahashi M. Importance of coronary collaterals for restoration of left ventricular function after intracoronary thrombolysis. Am J Cardiol. 1985;55:1259-1263. https://doi.org/10.1016/0002-9149(85)90485-0
  20. Guyton AC, Hall JE. Textbook of medical physiology. 11th ed. Philadelphia: Elsevier Saunders; 2006.

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