ABC | Volume 113, Nº4, October 2019

Review Article Magalhães et al. Principles of MPCT Arq Bras Cardiol. 2019; 113(4):758-767 42. TruongQA, Knaapen P, PontoneG, Andreini D, Leipsic J, Carrascosa P 6 , et al. Rationale and design of the dual-energy computed tomography for ischemia determination compared to “gold standard” non-invasive and invasive techniques (DECIDE-Gold): Amulticenter international efficacy diagnostic study of rest-stress dual-energy computed tomography angiography with perfusion. J Nucl Cardiol. 2015; 22(5):1031-40. 43. George RT, Arbab-Zadeh A, Miller JM, Kitagawa K, Chang HJ, Bluemke DA, et al. Adenosine stress 64- and 256-row detector computed tomography angiography and perfusion imaging: a pilot study evaluating the transmural extent of perfusion abnormalities to predict atherosclerosis causing myocardial ischemia. Circ Cardiovasc Imaging. 2009; 2(3):174-82. 44. Bettencourt N 1 , Chiribiri A, Schuster A, Ferreira N, Sampaio F, Pires-Morais G, et al. Direct comparison of cardiacmagnetic resonance andmultidetector computed tomography stress-rest perfusion imaging for detection of coronary artery disease. J Am Coll Cardiol. 2013; 61(10):1099-107. 45. Cury RC, Kitt TM, Feaheny K, Blankstein R, Ghoshhajra BB, Budoff MJ, et al. A randomized, multicenter, multivendor study of myocardial perfusion imaging with regadenoson CT perfusion vs single photon emission CT. J Cardiovasc Comput Tomogr. 2015; 9(2):103-12.e1-2. 46. Sørgaard MH, Kofoed KF, Linde JJ, George RT, Rochitte CE, Feuchtner G et al. Diagnostic accuracy of static CT perfusion for the detection of myocardial ischemia. A systematic review and meta-analysis. J Cardiovasc Comput Tomogr. 2016;10(6):450-7. 47. PontoneG, Andreini D, Guaricci AI, Baggiano A, Fazzari F, GuglielmoMet al. Incremental Diagnostic Value of Stress Computed TomographyMyocardial Perfusion With Whole-Heart Coverage CT Scanner in Intermediate- to High-Risk Symptomatic Patients Suspected of Coronary Artery Disease. JACC Cardiovasc Imaging. 2018; pii: S1936-878X(17)31149-X. 48. Kitagawa K, George RT, Arbab-ZadehA, Lima JA, LardoAC. Characterization and correction of beam-hardening artifacts during dynamic volume CT assessment of myocardial perfusion. Radiology. 2010;256(1):111-8. 49. So A, Hsieh J, Imai Y, Narayanan S, Kramer J, ProcknowK, et al. Prospectively ECG-triggered rapid kV-switching dual-energy CT for quantitative imaging of myocardial perfusion. JACC Cardiovasc Imaging. 2012;5(8):829-36. 50. Pelberg R, Budoff M, Goraya T, Keevil J, Lesser J, Litwin S, et al. Training, competency, and certification in cardiac CT: a summary statement from the Society of Cardiovascular Computed Tomography. J Cardiovasc Comput Tomogr. 2011;5(5):279-85. 51. 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Combined coronary angiography and myocardial perfusion by computed tomography in the identification of flow-limiting stenosis - The CORE320 study: An integrated analysis of CT coronary angiography and myocardial perfusion. J Cardiovasc Comput Tomogr. 2015; 9(5):438-45. 58. Rief M, Zimmermann E, Stenzel F, Martus P, Stangl K, Greupner J, et al. Computedtomographyangiographyandmyocardialcomputedtomography perfusion in patients with coronary stents: prospective intraindividual comparison with conventional coronary angiography. J Am Coll Cardiol. 2013;62(16):1476-85. 59. CerqueiraMD,WeissmanNJ, DilsizianV, Jacobs AK, Kaul S, LaskeyWK, et al. Standardizedmyocardial 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;105(4):539-42. 60. 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