Abstract
To select the best revascularization strategy a correct understanding of the ischemic territory and the coronary anatomy is crucial. Stress myocardial perfusion single photon emission computed tomography (SPECT) is the gold standard to assess ischemia, however, SPECT has important limitations such as lack of coronary anatomical information or false negative results due to balanced ischemia in multi-vessel disease. Angiographic scores are based on anatomical characteristics of coronary arteries but they lack information on the extent of jeopardized myocardium. Cardiac computed tomography (CCT) has the ability to evaluate the coronary anatomy and myocardium in one sequence, which is theoretically the ideal method to assess the myocardial mass at risk (MMAR) for any target lesion located at any point in the coronary tree. In this study we analyzed MMAR of the three main coronary arteries and three major side branches; diagonal (Dx), obtuse marginal (OM), and posterior descending artery (PDA) in 42 patients with normal coronary arteries using an algorithm based on the Voronoi method. The distribution of MMAR among the three main coronary arteries was 44.3 ± 5.6 % for the left anterior descending artery, 28.2 ± 7.3 % for the left circumflex artery, and 26.8 ± 8.6 % for the right coronary artery. MMAR of the three major side branches was 11.3 ± 3.9 % for the Dx, 12.6 ± 5.2 % for the OM and 10.2 ± 3.4 % for the PDA. Intra- and inter-observer analysis showed excellent correlation (r = 0.97; p < 0.0001 and r = 0.95; p < 0.0001, respectively). In conclusion, CCT-based MMAR assessment is reliable and may offer important information for selection of the optimal revascularization procedure.
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Hachamovitch R, Berman DS, Shaw LJ, Kiat H, Cohen I, Cabico JA, et al. Incremental prognostic value of myocardial perfusion single photon emission computed tomography for the prediction of cardiac death: differential stratification for risk of cardiac death and myocardial infarction. Circulation. 1998;97(6):535–43.
Shaw LJ, Berman DS, Maron DJ, Mancini GB, Hayes SW, Hartigan PM, et al. Optimal medical therapy with or without percutaneous coronary intervention to reduce ischemic burden: results from the clinical outcomes utilizing revascularization and aggressive drug evaluation (COURAGE) trial nuclear substudy. Circulation. 2008;117(10):1283–91.
Zellweger MJ, Hachamovitch R, Kang X, Hayes SW, Friedman JD, Germano G, et al. Threshold, incidence, and predictors of prognostically high-risk silent ischemia in asymptomatic patients without prior diagnosis of coronary artery disease. J Nucl Cardiol. 2009;16(2):193–200.
Pereztol-Valdes O, Candell-Riera J, Oller-Martinez G, Aguade-Bruix S, Dastell-Conesa J, Angel J, et al. Localization and quantification of myocardium at risk by myocardial perfusion SPECT during coronary artery occlusion. Rev Esp Cardiol. 2004;57:635–43.
Wincw WB, Kim RJ. Molecular imaging: T2-weighted CMR of the area at risk-a risky business? Nat Rev Cardiol. 2010;7:547–9.
Lafitte S, Higashiyama A, Masugata H, Peters B, Strachan M, Kwan OL, et al. Contrast echocardiography can assess risk area and infarct size during coronary occlusion and reperfusion: experimental validation. J Am Coll Cardiol. 2002;39(9):1546–54.
Alderman EL, Stadius M. The angiographic definitions of the bypass angioplasty revascularization investigation. Coron Artery Dis. 1992;3:1189–207.
Graham MM, Faris PD, Ghali WZ, Galbraith PD, Norris CM, Badry JT, et al. Validation of three myocardial jeopardy scores in a population-based cardiac catheterization cohort a population-based cardiac catheterization cohort. Am Heart J. 2001;142(2):254–61.
Seiler C, Kirkeeide RL, Gould L. Measurement from arteriograms of regional myocardial bed size distal to any point in the coronary vascular tree for assessing anatomic area at risk. J Am Coll Cardiol. 1993;21(3):783–97.
Saito S, Yamanaka J, Miura K, Nakao N, Nagao T, Sugimoto T, et al. A novel 3D hepatectomy simulation based on liver circulation: application to liver resection and transplantation. Hepatology. 2005;41(6):1297–304.
Kalbfleisch H, Hort W. Quantitative study on the size of coronary artery supplying areas postmortem. Am Heart J. 1977;94(2):183–8.
Cho YJ, Choe YH, Lee MS. Comparison of image quality of 64-slice multidetector CT coronary CT angiography using automated and manual multiphase methods for the determination of optimal phases for image reconstruction in patients with various mean heart rates. Int J Cardiovasc Imaging. 2010;26:41–52.
Guibas L, Stolfi J. Primitives for the manipulation of general subdivisions and the computations of Voronoi diagrams. ACM Trans Graph. 1985;4:74–123.
Austen WG, Edwards JE, Frye RL, Gensini GG, Gott VL, Griffith LS, et al. A reporting system on patients evaluated for coronary artery disease. Report of the Ad Hoc Committee for Grading of Coronary Artery Disease, Council on Cardiovascular Surgery, American Heart Association. Circulation. 1975;51:5–40.
Lewis BS, Gotsman MS. Relation between coronary artery size and left ventricular wall mass. Br Heart J. 1973;35(11):1150–3.
Koiwa Y, Bahn RC, Ritman EL. Regional myocardial volume perfused by the coronary artery branch: estimation in vivo. Circulation. 1986;74(1):157–63.
Lorenz CH, Walker ES, Morgan VL, Klein SS, Graham TP. Normal human right and left ventricular mass, systolic function, and gender difference by cine magnetic resonance imaging. J Cardiovasc Magn Reson. 1999;1:7–21.
Leone AM, De Caterina AR, Basile E, Gardi A, Laezza D, Mazzari MA, et al. Influence of the amount of myocardium subtended by a stenosis on fractional flow reserve. Circ Cardiovasc Interv. 2013;6(1):29–36.
Lee JT, Ideker RE, Reimer KA. Myocardial infarct size and location in relation to the coronary vascular bed at risk in man. Circulation. 1981;64(3):526–34.
Kurata A, Kono A, Sakamoto T, Kido T, Mochizuki T, Higashino H, et al. Quantification of the myocardial area at risk using coronary CT angiography and Voronoi algorithm-based myocardial segmentation. Eur Radiol. 2015;25(1):49–57.
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Satoru Sumitsuji and Yasushi Sakata receive financial support from Toshiba Medical Systems. The remaining authors reported no conflict of interest.
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This study protocol was approved by the ethics committee at Osaka University and conducted with standard policy of human rights. Written informed consent was waived by the ethics committee.
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S. Sumitsuji and S. Ide contributed equally to this work.
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Sumitsuji, S., Ide, S., Siegrist, P.T. et al. Reproducibility and clinical potential of myocardial mass at risk calculated by a novel software utilizing cardiac computed tomography information. Cardiovasc Interv and Ther 31, 218–225 (2016). https://doi.org/10.1007/s12928-015-0370-0
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DOI: https://doi.org/10.1007/s12928-015-0370-0