Acknowledgement
This study was supoorted by National Natural Science Foundation of China (Grant No.: 81671678, 81671673), Shanghai Municipal Education Commission-Gaofeng Clinical Medicine Grant Support (Grant No.: 20161428), Shanghai Key Discipline of Medical Imaging (No.: 2017ZZ02005), The National Key Research and Development Program of China (Grant No.: 2016YFC1300400, 2016YFC1300402), 2017 People's Livelihood Project Of PuDong Committee On Science And Technology In Shanghai (Grant No.: PKJ2017-Y39), Key And weak Specialty Construction Program of Pudong Health Bureau of Shanghai (Grant No.: PWZbr2017-11) and Shanghai Health Medical College Innovative collaborative project funding (Grant No.: SPCI-18-17-001).
References
- Yeh RW, Sidney S, Chandra M, Sorel M, Selby JV, Go AS. Population trends in the incidence and outcomes of acute myocardial infarction. N Engl J Med 2010;362:2155-2165 https://doi.org/10.1056/NEJMoa0908610
- French JK, White H. Clinical implications of the new definition of myocardial infarction. Heart 2004;90:99-106 https://doi.org/10.1136/heart.90.1.99
- Hassan AK, Bergheanu SC, Hasan-Ali H, Liem SS, van der Laarse A, Wolterbeek R, et al. Usefulness of peak troponin-T to predict infarct size and long-term outcome in patients with first acute myocardial infarction after primary percutaneous coronary intervention. Am J Cardiol 2009;103:779-784 https://doi.org/10.1016/j.amjcard.2008.11.031
- Chia S, Senatore F, Raffel OC, Lee H, Wackers FJ, Jang IK. Utility of cardiac biomarkers in predicting infarct size, left ventricular function, and clinical outcome after primary percutaneous coronary intervention for ST-segment elevation myocardial infarction. JACC Cardiovasc Interv 2008;1:415-423 https://doi.org/10.1016/j.jcin.2008.04.010
- Ohlmann P, Jaquemin L, Morel O, El Behlgiti R, Faure A, Michotey MO, et al. Prognostic value of C-reactive protein and cardiac troponin I in primary percutaneous interventions for ST-elevation myocardial infarction. Am Heart J 2006;152:1161-1167 https://doi.org/10.1016/j.ahj.2006.07.016
- Min JY, Ko SM, Song IY, Yi JG, Hwang HK, Shin JK. Comparison of the diagnostic accuracies of 1.5T and 3T stress myocardial perfusion cardiovascular magnetic resonance for detecting significant coronary artery disease. Korean J Radiol 2018;19:1007-1020 https://doi.org/10.3348/kjr.2018.19.6.1007
- Yan AT, Gibson CM, Larose E, Anavekar NS, Tsang S, Solomon SD, et al. Characterization of microvascular dysfunction after acute myocardial infarction by cardiovascular magnetic resonance first-pass perfusion and late gadolinium enhancement imaging. J Cardiovasc Magn Reson 2006;8:831-837 https://doi.org/10.1080/10976640600778049
- Mather AN, Lockie T, Nagel E, Marber M, Perera D, Redwood S, et al. Appearance of microvascular obstruction on high resolution first-pass perfusion, early and late gadolinium enhancement CMR in patients with acute myocardial infarction. J Cardiovasc Magn Reson 2009;11:33
- Nguyen TL, French JK, Hogan J, Hee L, Moses D, Mussap CJ, et al. Prognostic value of high sensitivity troponin T after ST-segment elevation myocardial infarction in the era of cardiac magnetic resonance imaging. Eur Heart J Qual Care Clin Outcomes 2016;2:164-171 https://doi.org/10.1093/ehjqcco/qcv033
- Chung HW, Ko SM, Hwang HK, So Y, Yi JG, Lee EJ. Diagnostic performance of coronary CT angiography, stress dual-energy CT perfusion, and stress perfusion single-photon emission computed tomography for coronary artery disease: comparison with combined invasive coronary angiography and stress perfusion cardiac MRI. Korean J Radiol 2017;18:476-486 https://doi.org/10.3348/kjr.2017.18.3.476
- Rossi A, Merkus D, Klotz E, Mollet N, de Feyter PJ, Krestin GP. Stress myocardial perfusion: imaging with multidetector CT. Radiology 2014;270:25-46 https://doi.org/10.1148/radiol.13112739
- Danad I, Szymonifka J, Schulman-Marcus J, Min JK. Static and dynamic assessment of myocardial perfusion by computed tomography. Eur Heart J Cardiovasc Imaging 2016;17:836-844 https://doi.org/10.1093/ehjci/jew044
- Coenen A, Rossi A, Lubbers MM, Kurata A, Kono AK, Chelu RG, et al. Integrating CT myocardial perfusion and CT-FFR in the work-up of coronary artery disease. JACC Cardiovasc Imaging 2017;10:760-770 https://doi.org/10.1016/j.jcmg.2016.09.028
- Rossi A, Wragg A, Klotz E, Pirro F, Moon JC, Nieman K, et al. Dynamic computed tomography myocardial perfusion imaging: comparison of clinical analysis methods for the detection of vessel-specific ischemia. Circ Cardiovasc Imaging 2017;10. pii:e005505
- Pelgrim GJ, Duguay TM, Stijnen JM, Varga-Szemes A, Van Tuijl S, Schoepf UJ, et al. Analysis of myocardial perfusion parameters in an ex-vivo porcine heart model using third generation dual-source CT. J Cardiovasc Comput Tomogr 2017;11:141-147 https://doi.org/10.1016/j.jcct.2017.01.012
- Bamberg F, Klotz E, Flohr T, Becker A, Becker CR, Schmidt B, et al. Dynamic myocardial stress perfusion imaging using fast dual-source CT with alternating table positions: initial experience. Eur Radiol 2010;20:1168-1173 https://doi.org/10.1007/s00330-010-1715-9
- 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. Circulation 2002;18:539-542
- Kono AK, Coenen A, Lubbers M, Kurata A, Rossi A, Dharampal A, et al. Relative myocardial blood flow by dynamic computed tomographic perfusion imaging predicts hemodynamic significance of coronary stenosis better than absolute blood flow. Invest Radiol 2014;49:801-807 https://doi.org/10.1097/RLI.0000000000000087
- Lang RM, Bierig M, Devereux RB, Flachskampf FA, Foster E, Pellikka PA, et al. Recommendations for chamber quantification: a report from the American Society of Echocardiography's guidelines and standards committee and the chamber quantification writing group, developed in conjunction with the European Association of Echocardiography, a branch of the European Society of Cardiology. J Am Soc Echocardiogr 2005;18:1440-1463 https://doi.org/10.1016/j.echo.2005.10.005
- Nakamura S, Kitagawa K, Goto Y, Omori T, Kurita T, Yamada A, et al. Incremental prognostic value of myocardial blood flow quantified with stress dynamic computed tomography perfusion imaging. JACC Cardiovasc Imaging 2018 Jul 13 [Epub ahead of print]. https://doi.org/10.1016/j.jcmg.2018.05.021
- Meinel FG, Wichmann JL, Schoepf UJ, Pugliese F, Ebersberger U, Lo GG, et al. Global quantification of left ventricular myocardial perfusion at dynamic CT imaging: prognostic value. J Cardiovasc Comput Tomogr 2017;11:16-24 https://doi.org/10.1016/j.jcct.2016.12.003
- Niccoli G, Scalone G, Lerman A, Crea F. Coronary microvascular obstruction in acute myocardial infarction. Eur Heart J 2016;37:1024-1033 https://doi.org/10.1093/eurheartj/ehv484
- So A, Hsieh J, Li JY, Hadway J, Kong HF, Lee TY. Quantitative myocardial perfusion measurement using CT perfusion: a validation study in a porcine model of reperfused acute myocardial infarction. Int J Cardiovasc Imaging 2012;28:1237-1248 https://doi.org/10.1007/s10554-011-9927-x
- van Kranenburg M, Magro M, Thiele H, de Waha S, Eitel I, Cochet A, et al. Prognostic value of microvascular obstruction and infarct size, as measured by CMR in STEMI patients. JACC Cardiovasc Imaging 2014;7:930-939 https://doi.org/10.1161/CIRCIMAGING.114.002184
- Hamirani YS, Wong A, Kramer CM, Salerno M. Effect of microvascular obstruction and intramyocardial hemorrhage by CMR on LV remodeling and outcomes after myocardial infarction: a systematic review and meta-analysis. JACC Cardiovasc Imaging 2014;7:940-952
- Pernet K, Ecarnot F, Chopard R, Seronde MF, Plastaras P, Schiele F, et al. Microvascular obstruction assessed by 3-tesla magnetic resonance imaging in acute myocardial infarction is correlated with plasma troponin I levels. BMC Cardiovasc Disord 2014;14:57
- Bamberg F, Marcus RP, Becker A, Hildebrandt K, Bauner K, Schwarz F, et al. Dynamic myocardial CT perfusion imaging for evaluation of myocardial ischemia as determined by MR imaging. JACC Cardiovasc Imaging 2014;7:267-277 https://doi.org/10.1016/j.jcmg.2013.06.008
- Mahnken AH, Klotz E, Pietsch H, Schmidt B, Allmendinger T, Haberland U, et al. Quantitative whole heart stress perfusion CT imaging as noninvasive assessment of hemodynamics in coronary artery stenosis: preliminary animal experience. Invest Radiol 2010;45:298-305 https://doi.org/10.1097/RLI.0b013e3181dfa3cf