ABC | Volume 113, Nº4, October 2019

Review Article Magalhães et al. Principles of MPCT Arq Bras Cardiol. 2019; 113(4):758-767 computed tomography coronary angiography versus conventional coronary angiography and correlation with fractional flow reserve in patients with stable angina. J Am Coll Cardiol. 2008;52(8):636-43. 7. Sun Z, Ng KH. Multislice CT angiography in cardiac imaging. Part III: radiation risk and dose reduction. Singapore Med J. 2010;51(5):374-80. 8. Budoff MJ, Jollis JG, Dowe D, Min J, Group VCTS. Diagnostic accuracy of coronary artery calcium for obstructive disease: results from the ACCURACY trial. Int J Cardiol. 2013;166(2):505-8. 9. Min JK, Feignoux J, Treutenaere J, Laperche T, Sablayrolles J. The prognostic value of multidetector coronary CT angiography for the prediction of major adverse cardiovascular events: amulticenter observational cohort study. Int J Cardiovasc Imaging. 2010;26(6):721-8. 10. PakkalM,RajV,McCannGP.Non-invasive imaging incoronaryarterydisease including anatomical and functional evaluation of ischaemia and viability assessment. Br J Radiol. 2011;84 (Spec No 3):S280-95. 11. Shreibati JB, Baker LC, Hlatky MA. Association of coronary CT angiography or stress testing with subsequent utilization and spending among Medicare beneficiaries. JAMA. 2011;306(19):2128-36. 12. Hannan EL, Cozzens K, Samadashvili Z, Walford G, Jacobs AK, Holmes DR Jr, et al. Appropriateness of coronary revascularization for patients without acute coronary syndromes. J Am Coll Cardiol. 2012;59(21):1870-6. 13. Summers MR, Patel MR. Appropriateness of percutaneous coronary intervention: a review. Curr Cardiol Rep. 2013;15(7):379. 14. Bradley SM, Spertus JA, Kennedy KF, Nallamothu BK, Chan PS, Patel MR, et al. Patient selection for diagnostic coronary angiography and hospital-level percutaneous coronary intervention appropriateness: insights from the National Cardiovascular Data Registry. JAMA Int Med.2014;14;174(10):1630-9. 15. Iwasaki K. Myocardial ischemia is a key factor in the management of stable coronary artery disease. World J Cardiol. 2014;6(4):130-9. 16. Di Carli MF, Dorbala S, Curillova Z, Kwong RJ, Goldhaber SZ, Rybicki FJ, et al. Relationship betweenCT coronary angiography and stress perfusion imaging in patients with suspected ischemic heart disease assessed by integrated PET-CT imaging. J Nucl Cardiol. 2007;14(6):799-809. 17. Bansal M, Jeffriess L, Leano R, Mundy J, Marwick TH. Assessment of myocardial viability at dobutamine echocardiography by deformation analysisusingtissuevelocityandspeckle-tracking. JACCCardiovasc imaging. 2010;3(2):121-31. 18. Bonow RO, Maurer G, Lee KL, Holly TA, Binkley PF, Desvigne-Nickens P, et al. Myocardial viability and survival in ischemic left ventricular dysfunction. N Engl J Med. 2011;364(17):1617-25. 19. Cury RC, Nieman K, Shapiro MD, Butler J, Nomura CH, Ferencik M, et al. Comprehensive assessment of myocardial perfusion defects, regional wall motion, and left ventricular function by using 64-section multidetector CT. Radiology. 2008;248(2):466-75. 20. Cury RC, Magalhaes TA, Borges AC, Shiozaki AA, Lemos PA, Junior JS, et al. Dipyridamole stress and rest myocardial perfusion by 64-detector row computed tomography in patients with suspected coronary artery disease. Am J Cardiol. 2010;106(3):310-5. 21. Blankstein R, Shturman LD, Rogers IS, Rocha-Filho JA, Okada DR, Sarwar A, et al. Adenosine-induced stress myocardial perfusion imaging using dual-source cardiac computed tomography. J Am Coll Cardiol. 2009;54(12):1072-84. 22. Rocha-Filho JA, Blankstein R, Shturman LD, Bezerra HG, Okada DR, Rogers IS, et al. Incremental value of adenosine-induced stress myocardial perfusion imagingwithdual-sourceCTatcardiacCTangiography.Radiology. 2010;254(2):410-9. 23. UthamalingamS, GurmGS, SidhuMS, Verdini DJ, Vorasettakarnkij Y, Engel LC, et al. Comparison of dual-source 64-slice adenosine stress CT perfusion with stress-gated SPECT-MPI for evaluation of left ventricular function and volumes. J Cardiovasc Comput Tomogr.2012;6(1):24-30. 24. RochitteCE,GeorgeRT,ChenMY,Arbab-ZadehA,DeweyM,MillerJM,etal. Computed tomography angiography and perfusion to assess coronary artery stenosis causing perfusion defects by single photon emission computed tomography: the CORE320 study. Eur Heart J. 2014;35(17):1120-30. 25. StewartGN.ResearchesontheCirculationTimeandonthe Influenceswhich affect it. J Physiol. 1897;22(3):159-83. 26. George RT, Jerosch-Herold M, Silva C, Kitagawa K, Bluemke DA, Lima JA, et al. Quantification of myocardial perfusion using dynamic 64-detector computed tomography. Invest Radiol. 2007;42(12):815-22. 27. Rumberger JA, Bell MR. Measurement of myocardial perfusion and cardiac output using intravenous injection methods by ultrafast (cine) computed tomography. Invest Radiol. 1992;27 (Suppl 2):S40-6. 28. NewhouseJH,MurphyRX,Jr.Tissuedistributionofsolublecontrast:effectofdose variationandchangeswithtime.AJRAmJRoentegenology.1981;136(3):463-7. 29. George RT, Ichihara T, Lima JA, Lardo AC. A method for reconstructing the arterial input function during helical CT: implications for myocardial perfusion distribution imaging. Radiology. 2010;255(2):396-404. 30. George RT, Arbab-Zadeh A, Miller JM, Vavere AL, Bengel FM, Lardo AC, et al. Computed tomography myocardial perfusion imaging with 320-row detector computedtomographyaccuratelydetectsmyocardialischemiainpatientswith obstructivecoronaryarterydisease.CircCardiovascimaging.2012;5(3):333-40. 31. George RT 1 , Silva C, CordeiroMA, DiPaula A, ThompsonDR, McCarthyWF, et al. Multidetector computed tomography myocardial perfusion imaging during adenosine stress. J Am Coll Cardiol. 2006; 48(1):153-60. 32. George RT 1 , Mehra VC, ChenMY, Kitagawa K, Arbab-Zadeh A, Miller JMet al. Myocardial CT perfusion imaging and SPECT for the diagnosis of coronary artery disease: a head-to-head comparison from the CORE320multicenter diagnostic performance study. Radiology. 2014; 272(2):407-16. 33. Takx RA, Blomberg BA, El Aidi H, Habets J, de Jong PA, Nagel E, et al. Diagnostic accuracy of stress myocardial perfusion imaging compared to invasive coronary angiography with fractional flow reserve meta-analysis. Circ Cardiovasc Imaging. 2015 Jan;8(1). 34. Ho KT, Chua KC, Klotz E, Panknin C. Stress and rest dynamic myocardial perfusion imaging by evaluation of complete time-attenuation curves with dual-source CT. JACC Cardiovasc Imaging. 2010;3(8):811-20. 35. Kido T, Kurata A, Higashino H, Inoue Y, Kanza RE, Okayama H, et al. Quantification of regional myocardial blood flow using first-pass multidetector-row computed tomography and adenosine triphosphate in coronary artery disease. Circ J. 2008;72(7):1086-91. 36. BastarrikaG, Ramos-Duran L, RosenblumMA, KangDK, RoweGW, Schoepf UJ. Adenosine-stress dynamic myocardial CT perfusion imaging: initial clinical experience. Invest Radiol. 2010;45(6):306-13. 37. Bamberg F, Becker A, Schwarz F, Marcus RP, Greif M, von Ziegler F, et al. Detection of hemodynamically significant coronary artery stenosis: incremental diagnostic value of dynamic CT-based myocardial perfusion imaging. Radiology. 2011;260(3):689-98. 38. Greif M, von Ziegler F, Bamberg F, Tittus J, Schwarz F, D’Anastasi M, et al. CT stress perfusion imaging for detection of haemodynamically relevant coronary stenosis as defined by FFR. Heart. 2013;99(14):1004-11. 39. Rossi A, Dharampal A, Wragg A, Davies LC, van Geuns RJ, Anagnostopoulos C, et al. Diagnostic performance of hyperaemic myocardial blood flow index obtained by dynamic computed tomography: does it predict functionally significantcoronarylesions?EurHeartJCardiovascImaging.2014;15(1):85-94. 40. Ko SM, Choi JW, Song MG, Shin JK, Chee HK, Chung HW, et al. Myocardial perfusion imaging using adenosine-induced stress dual-energy computed tomographyoftheheart:comparisonwithcardiacmagneticresonanceimaging and conventional coronary angiography. Eur Radiol. 2011;21(1):26-35. 41. Ko SM, Choi JW, Hwang HK, Song MG, Shin JK, Chee HK. Diagnostic performanceofcombinednoninvasiveanatomicandfunctionalassessmentwith dual-source CT and adenosine-induced stress dual-energy CT for detection of significant coronary stenosis. AJR Am J Roentgenology. 2012;198(3):512-20. 765