Abstract
Purpose
This study quantified the contraction synchronicity (CS; with 100% representing full synchrony and −100% dyssynchrony) and contraction work (CW, millijoules per centimeter squared; representing myocardial area) in patients with reduced left ventricular ejection fraction (LVEF) associated with coronary artery disease (CAD).
Methods
CS, CW and LVEF in 104 subjects (54 CAD patients and 50 control subjects without CAD) were measured using rest electrocardiography-gated single-photon emission computed tomography (ECG SPECT). Contraction amplitude (CA), synchronous contraction index (SCI), and CW were evaluated using the program Quantification of Segmental Function by Solving the Poisson Equation (QSFP) developed in-house.
Results
The mean CA, SCI and CW of 17 segments in the control subjects were 33.8 ± 4.1% (±SD), 96.6 ± 1.4%, and 6.9 ± 1.0 mJ/cm2, respectively. In the patients with CAD, the respective values were 26.1 ± 7.3%, 82.1 ± 16.8%, and 5.4 ± 1.6 mJ/cm2. In the CAD patients with LVEF <40% (n = 14), the mean CA, SCI,and CW were 17.9 ± 4.0%, 63.0 ± 18.4%, and 3.5 ± 1.1 mJ/cm2, respectively. These values were significantly lower than in the control subjects (p < 0.005). Using receiver operating characteristic analysis, values for the area under the curve showing the performance of CA, CS, CW and LVEF in the diagnosis of CAD were 0.81, 0.86, 0.78, and 0.84, respectively.
Conclusion
Asynchrony shown using the QSFP is useful for CAD detection.
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References
Wang VY, Ennis DB, Cowan BR, Young AA, Nash MP. Myocardial contractility and regional work throughout the cardiac cycle using FEM and MRI. In: Camara O, Konukoglu E, Pop M, Rhode K, Sermesant M, Young A (editors) Statistical atlasesand computational modelsof the heart:imaging and modelling challenges. Lecture Notes in Computer Science, vol. 7085. Berlin: Springer; 2012. p. 149–159.
Germano G, Kiat H, Kavanagh PB, Moriel M, Mazzanti M, Su HT, et al. Automatic quantification of ejection fraction from gated myocardial perfusion SPECT. J Nucl Med. 1995;36:2138–2147.
Hammermeister KE, Derouen TA, Dodge HT. Variables predictive of survival in patients with coronary disease. Circulation. 1979;59:421–430.
Hurrell DG, Milavevetz J, Hodge DO, Gibbonds RJ. Infarct size determination by technetium 99m sestamibi single-photon emission computed tomography predicts survival in patients with chronic coronary artery disease. Am Heart J. 2000;140:61–66.
Zeiher AM, Wollschlaeger H, Bonzel T, Kasper W, Just H. Hierarchy of levels of ischemia-induced impairment in regional left ventricular systolic function in man. Circulation. 1987;76:768–776.
Prinzen FW, Hunter WC, Wyman BT, McVeigh ER. Mapping of regional myocardial strain and work during ventricular pacing. experimental study using magnetic resonance imaging tagging. J Am Coll Cardiol. 1999;33:1735–1742.
Urheim S, Rabben SL, Skulstad H, Lyseggen E, Ihlen H, Smiseth OA. Regional myocardial work by strain Doppler echocardiography and LV pressure: a new method for quantifying myocardial function. Am J Physiol. 2005;288:H2375–H2380.
Maeda H, Koyama S, Tuchiya S. Segmental cardiac function computed from ECG-gated SPECT images through solution of equations of continuity for fluids. Phys Med Biol. 2001;46:347–367.
Maeda H. Quantification of synchronous contraction of left ventricle in normal subjects using ECG-gated SPECT images. Physiol Meas. 2004;25:71–84.
Maeda H. Evaluation of regional work from ECG-gated SPECT images through solution of equations of continuity for fluids: mechanical cardiac work calculated using thin wall model. Physiol Meas. 2012;33:445–464.
Nishimura T, Nakajima K, Kusuoka H, Yamashina A, Nishimura S. Prognostic study of risk stratification among Japanese patients with ischemic heart disease using gated myocardial perfusion SPECT: J-ACCESS study. Eur J Nucl Med Mol Imaging. 2008;35:319–328.
Cerqueira MD, Weissman NJ, Dilsizian V, Jacobs AK, Kaul S, Laskey WK, et al. 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. J Nucl Cardiol. 2002;9:240–245.
Silvestry SC, Taylor DA, Lilly RE, Atkins BZ, Marathe US, Davis JW, et al. The in vivo quantification of myocardial performance in rabbits: a model for evaluation of cardiac gene therapy. J Mol Cell Cardiol. 1996;28:815–823.
Herman MV, Heinle RA, Klein MD, Gorlin R. Localized disorders in myocardial contraction. Asynergy and its role in congestive heart failure. N Engl J Med. 1967;277:222–232.
Delhaas T, Arts T, Prinzen FW, Reneman RS. Estimates of regional work in the canine left ventricle. Prog Biophys Mol Biol. 1998;69:273–287.
Nakano K, Sugawara M, Kato T, Sasayama S, Carabello BA, Asanoi H, et al. Regional work of the human left ventricle calculated by wall stress and the natural logarithm of reciprocal of wall thickness. J Am Coll Cardiol. 1988;12:1442–1448.
Matsunari I, Fujino S, Taki J, Senma J, Aoyama T, Wakasugi T, et al. Quantitative rest technetium-99m tetrofosmin imaging in predicting functional recovery after revascularization: comparison with rest-redistribution thallium-201. J Am Coll Cardiol. 1997;29:1226–1233.
Bax JJ, Poldermans D, Elhendy A, Cornel JH, Boersma E, Rambaldi R, et al. Improvement of left ventricular ejection fraction, heart failure symptoms and prognosis after revascularization in patients with chronic coronary artery disease and viable myocardium detected by dobutamine stress echocardiography. J Am Coll Cardiol. 1999;34:163–169.
Romero-Farina G, Candell-Riera J, Aguade-Bruix S, Castell-Conesa J, de Leon G, Igual A. Predictors of improved left ventricular systolic function after surgical revascularization in patients with ischemic cardiomyopathy. Rev Esp Cardiol. 2007;60:943–651.
Nakajima K, Tamaki N, Kuwabara Y, Kawano M, Matsunari I, Taki J, et al. Prediction of functional recovery after revascularization using quantitative gated myocardial perfusion SPECT: a multi-center cohort study in Japan. Eur J Nucl Med Mol Imaging. 2008;35:2038–2048.
Abraham TP, Nishimura RA. Myocardial strain: can we finally measure contractility? J Am Coll Cardiol. 2001;37:731–734.
Witkowski TG, Thomas JD, Debonnaire PJ, Delgado V, Hoke U, Ewe SH, et al. Global longitudinal strain predicts left ventricular dysfunction after mitral valve repair. Eur Heart J Cardiovasc Imaging. 2013;14:69–76.
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Takanaga Niimi, Mamoru Nanasato and Hisatoshi Maeda declare that they have no conflict of interest associated with this study.
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The study was approved by an institutional review board and was performed in accordance with the ethical standards laid down in the Helsinki Declaration of 1964 and later revisions. All subjects in the study gave written informed consent or the institutional review board waived the need to obtain informed consent.
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Niimi, T., Nanasato, M. & Maeda, H. Quantification of Contraction Synchronicity and Contraction Work in Coronary Artery Disease. Nucl Med Mol Imaging 51, 227–232 (2017). https://doi.org/10.1007/s13139-017-0472-y
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DOI: https://doi.org/10.1007/s13139-017-0472-y