Functional relevance of coronary artery disease by cardiac magnetic resonance and cardiac computed tomography: Myocardial perfusion and fractional flow reserve

BioMed Research International

Volumn 2015, Issue , 2015, Pages

  Pontone, Gianluca ^a   Andreini, Daniele ^a,b   Baggiano, Andrea ^a   Bertella, Erika ^a   Mushtaq, Saima ^a   Conte, Edoardo ^a   Beltrama, Virginia ^a   Guaricci, Andrea Igoren ^c   Pepi, Mauro ^a  

^a CENTRO CARDIOLOGICO MONZINO   (Italy)

^b UNIVERSITY OF MILAN   (Italy)

^c UNIVERSITY OF FOGGIA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

ANGIOCARDIOGRAPHY; CARDIOVASCULAR MAGNETIC RESONANCE; CLINICAL ASSESSMENT; COMPUTED TOMOGRAPHIC ANGIOGRAPHY; CONTRAST ENHANCEMENT; CORONARY ARTERY DILATATION; CORONARY ARTERY DISEASE; CORONARY FLOW RESERVE; DIAGNOSTIC ACCURACY; EXERCISE TEST; FRACTIONAL FLOW RESERVE; FUNCTIONAL ASSESSMENT; HEART MUSCLE PERFUSION; HUMAN; MYOCARDIAL PERFUSION IMAGING; PROGNOSIS; QUANTITATIVE ANALYSIS; REVIEW; SENSITIVITY AND SPECIFICITY; SINGLE PHOTON EMISSION COMPUTER TOMOGRAPHY; ANIMAL; COMPUTER ASSISTED TOMOGRAPHY; HEART MUSCLE; MAGNETIC RESONANCE ANGIOGRAPHY; PATHOPHYSIOLOGY; PROCEDURES; RADIOGRAPHY;

PYRONIA TITHONUS;

ANIMALS; CORONARY ANGIOGRAPHY; CORONARY ARTERY DISEASE; HUMANS; MAGNETIC RESONANCE ANGIOGRAPHY; MYOCARDIUM; TOMOGRAPHY, X-RAY COMPUTED;

EID: 84933056197     PISSN: 23146133     EISSN: 23146141     Source Type: Journal    
DOI: 10.1155/2015/297696     Document Type: Review

References (88)

1. M. R. Patel,G. J.Dehmer, J. W. Hirshfeld, P. K. Smith, and J. A. Spertus, "ACCF/SCAI/STS/AATS/AHA/ASNC/HFSA/SCCT 2012 Appropriate use criteria for coronary revascularization focused update: a report of the American College of Cardiology Foundation Appropriate Use Criteria Task Force, Society for Cardiovascular Angiography and Interventions, Society of Thoracic Surgeons, American Association for Thoracic Surgery, American Heart Association, American Society of Nuclear Cardiology, and the Society of Cardiovascular Computed Tomography," Journal of the American College of Cardiology, vol. 59, pp. 857-881, 2012.
2. M. R. Patel, E. D. Peterson, D. Dai et al., "Low diagnostic yield of elective coronary angiography," The New England Journal of Medicine, vol. 362, no. 10, pp. 886-895, 2010.
3. W. E. Boden, R. A. O'Rourke,K.K.Teo et al., "Optimal medical therapy with or without PCI for stable coronary disease," The New England Journal of Medicine, vol. 356, no. 15, pp. 1503-1516, 2007.
4. L. J. Shaw, D. S. Berman, D. J. Maron 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, vol. 117, no. 10, pp. 1283-1291, 2008.
5. O. R. Coelho-Filho, C. Rickers, R. Y. Kwong, and M. Jerosch-Herold, "MR myocardial perfusion imaging," Radiology, vol. 266, no. 3, pp. 701-715, 2013.
6. A. So and T.-Y. Lee, "Quantitative myocardial CT perfusion: a pictorial review and the current state of technology development," Journal of Cardiovascular Computed Tomography, vol. 5, no. 6, pp. 467-481, 2011.
7. F. J. Klocke, "Measurements of coronary flow reserve: defining pathophysiology versus making decisions about patient care," Circulation, vol. 76, no. 6, pp. 1183-1189, 1987.
8. K. L. Gould, K. Lipscomb, and G. W. Hamilton, "Physiologic basis for assessing critical coronary stenosis. Instantaneous flow response and regional distribution during coronary hyperemia as measures of coronary flow reserve," The American Journal of Cardiology, vol. 33, no. 1, pp. 87-94, 1974.
9. K. L. Gould, R. L. Kirkeeide, and M. Buchi, "Coronary flow reserve as a physiologic measure of stenosis severity," Journal of the American College of Cardiology, vol. 15, no. 2, pp. 459-474, 1990.
10. L. Belardinelli, J. C. Shryock, S. Snowdy et al., "The A2A adenosine receptor mediates coronary vasodilation," Journal of Pharmacology and Experimental Therapeutics, vol. 284, no. 3, pp. 1066-1073, 1998.
11. R. C. Cury, T. M. Kitt, K. Feaheny, J. Akin, and R. T. George, "Regadenoson-stress myocardial CT perfusion and singlephoton emissionCT: rationale, design, and acquisition methods of a prospective,multicenter,multivendor comparison," Journal of Cardiovascular Computed Tomography, vol. 8, no. 1, pp. 2-12, 2014.
12. N. H. J. Pijls and J.-W. E. M. Sels, "Functional measurement of coronary stenosis," Journal of the American College of Cardiology, vol. 59, no. 12, pp. 1045-1057, 2012.
13. P. A. L. Tonino,B. deBruyne, N. H. J. Pijls et al., "Fractional flow reserve versus angiography for guiding percutaneous coronary intervention," The New England Journal of Medicine, vol. 360, no. 3, pp. 213-224, 2009.
14. B. de Bruyne, N. H. J. Pijls, B. Kalesan et al., "Fractional flow reserve-guided PCI versus medical therapy in stable coronary disease," The New England Journal of Medicine, vol. 367, no. 11, pp. 991-1001, 2012.
15. B. De Bruyne, J. Bartunek, S. U. Sys, N. H. J. Pijls, G. R. Heyndrickx, and W. Wijns, "Simultaneous coronary pressure and flow velocity measurements in humans: feasibility, reproducibility, and hemodynamic dependence of coronary flow velocity reserve, hyperemic flow versus pressure slope index, and fractional flowreserve," Circulation, vol. 94,no. 8, pp. 1842-1849, 1996.
16. G. J. W. Bech, B. de Bruyne, N. H. J. Pijls et al., "Fractional flow reserve to determine the appropriateness of angioplasty in moderate coronary stenosis: a randomized trial," Circulation, vol. 103, no. 24, pp. 2928-2934, 2001.
17. N. H. J. Pijls, P. van Schaardenburgh, G.Manoharan et al., "Percutaneous coronary intervention of functionally non significant stenosis: 5-year follow-up of the DEFER Study," Journal of the American College of Cardiology, vol. 49, no. 21, pp. 2105-2111, 2007.
18. N. H. J. Pijls, B. Van Gelder, P. Van der Voort et al., "Fractional flow reserve: a useful index to evaluate the influence of an epicardial coronary stenosis on myocardial blood flow," Circulation, vol. 92, no. 11, pp. 3183-3193, 1995.
19. M. B. Iqbal, N. Shah, M. Khan, and W. Wallis, "Reduction in myocardial perfusion territory and its effect on the physiological severity of a coronary stenosis," Circulation: Cardiovascular Interventions, vol. 3, no. 1, pp. 89-90, 2010.
20. C. M. Kramer, J. Barkhausen, S. D. Flamm, R. J. Kim, and E. Nagel, "Standardized cardiovascular magnetic resonance imaging (CMR) protocols, society for cardiovascular magnetic resonance: board of trustees task force on standardized protocols," Journal of Cardiovascular Magnetic Resonance, vol. 10, no. 1, article 35, 2008.
21. A. R. Patel, P. F. Antkowiak, K. R. Nandalur et al., "Assessment of advanced coronary artery disease: advantages of quantitative cardiac magnetic resonance perfusion analysis," Journal of the American College of Cardiology, vol. 56, no. 7, pp. 561-569, 2010.
22. K. R. Nandalur, B. A. Dwamena, A. F. Choudhri, M. R. Nandalur, and R. C. Carlos, "Diagnostic performance of stress cardiac magnetic resonance imaging in the detection of coronary artery disease: a meta-analysis," Journal of the American College of Cardiology, vol. 50, no. 14, pp. 1343-1353, 2007.
23. J. Schwitter, C. M. Wacker, A. C. Van Rossum et al., "MRIMPACT: comparison of perfusion-cardiacmagnetic resonance with single-photon emission computed tomography for the detection of coronary artery disease in amulticentre,multivendor, randomized trial," European Heart Journal, vol. 29, no. 4, pp. 480-489, 2008.
24. J.P.Greenwood,N.Maredia, J. F. Younger et al., "Cardiovascular magnetic resonance and single-photon emission computed tomography for diagnosis of coronary heart disease (CEMARC): a prospective trial," The Lancet, vol. 379, no. 9814, pp. 453-460, 2012.
25. J. Schwitter, C. M.Wacker, N.Wilke et al., "MR-IMPACT Investigators. MR-IMPACT II: magnetic Resonance Imaging for Myocardial Perfusion Assessment in Coronary artery disease trial: perfusion-cardiac magnetic resonance vs. single-photon emission computed tomography for the detection of coronary artery disease: a comparative multicentre, multivendor trial," European Heart Journal, vol. 34, pp. 775-781, 2013.
26. J.P.Greenwood,M.Motwani, N.Maredia et al., "Comparisonof cardiovascular magnetic resonance and single-photon emission computed tomography in women with suspected coronary artery disease from the clinical evaluation of magnetic resonance imaging in coronary heart disease (CE-MARC) trial," Circulation, vol. 129, no. 10, pp. 1129-1138, 2014.
27. M. J. Lipinski, C. M. McVey, J. S. Berger, C.M. Kramer, andM. Salerno, "Prognostic value of stress cardiac magnetic resonance imaging in patients with known or suspected coronary artery disease: a systematic review and meta-analysis," Journal of the American College of Cardiology, vol. 62,no. 9, pp. 826-838, 2013.
28. R. R. Macwar, B. A.Williams, and J. Shirani, "Prognostic value of adenosine cardiac magnetic resonance imaging in patients presenting with chest pain,"American Journal of Cardiology, vol. 112, no. 1, pp. 46-50, 2013.
29. D. Buckert, P. Dewes, T. Walcher, W. Rottbauer, and P. Bernhardt, "Intermediate-term prognostic value of reversible perfusion deficit diagnosed by adenosine CMR: a prospective follow-up study in a consecutive patient population," JACC: Cardiovascular Imaging, vol. 6, no. 1, pp. 56-63, 2013.
30. O. R. Coelho-Filho, L. F. Seabra, F.-P. Mongeon et al., "Stress myocardial perfusion imaging by CMR provides strong prognostic value to cardiac events regardless of patient's sex," JACC: Cardiovascular Imaging, vol. 4, no. 8, pp. 850-861, 2011.
31. S. Kelle, A. Chiribiri, J. Vierecke et al., "Long-term prognostic value of dobutamine stress CMR," JACC: Cardiovascular Imaging, vol. 4, no. 2, pp. 161-172, 2011.
32. E. L. Wallace, T. M. Morgan, T. F. Walsh et al., "Dobutamine cardiacmagnetic resonance results predict cardiac prognosis in womenwith known or suspected ischemic heart disease," JACC: Cardiovascular Imaging, vol. 2, no. 3, pp. 299-307, 2009.
33. V. Bodi, J. Sanchis, M. P. Lopez-Lereu et al., "Prognostic value of dipyridamole stress cardiovascular magnetic resonance imaging in patients with known or suspected coronary artery disease," Journal of the American College of Cardiology, vol. 50, no. 12, pp. 1174-1179, 2007.
34. V. Bodi, J. Sanchis, M. P. Lopez-Lereu et al., "Prognostic and therapeutic implications of dipyridamole stress cardiovascular magnetic resonance on the basis of the ischaemic cascade," Heart, vol. 95, no. 1, pp. 49-55, 2009.
35. I. Paetsch, C. Jahnke, A. Wahl et al., "Comparison of dobutamine stress magnetic resonance, adenosine stress magnetic resonance, and adenosine stress magnetic resonance perfusion," Circulation, vol. 110, no. 7, pp. 835-842, 2004.
36. R. Manka, I. Paetsch, S. Kozerke et al., "Whole-heart dynamic three-dimensional magnetic resonance perfusion imaging for the detection of coronary artery disease defined by fractional flow reserve: determination of volumetric myocardial ischaemic burden and coronary lesion location," European Heart Journal, vol. 33, no. 16, pp. 2016-2024, 2012.
37. R. Jogiya, S. Kozerke, G. Morton et al., "Validation of dynamic 3-dimensionalwhole heart magnetic resonancemyocardial perfusion imaging against fractional flow reserve for the detection of significant coronary artery disease," Journal of the American College of Cardiology, vol. 60, no. 8, pp. 756-765, 2012.
38. S. A. Tsaftaris, X. Zhou, R. Tang, D. Li, and R. Dharmakumar, "Detecting myocardial ischemia at rest with cardiac phaseresolved blood oxygen level-dependent cardiovascular magnetic resonance," Circulation: Cardiovascular Imaging, vol. 6, no. 2, pp. 311-319, 2013.
39. W. J. Manning, W. Li, and R. R. Edelman, "A preliminary report comparing magnetic resonance coronary angiography with conventional angiography," The New England Journal of Medicine, vol. 328, no. 12, pp. 828-832, 1993.
40. L. Cheng, Y. Gao, A. I. Guaricci et al., "Breath-hold 3D steady-state free precession coronary MRA compared with conventional X-ray coronary angiography," Journal of Magnetic Resonance Imaging, vol. 23, no. 5, pp. 669-673, 2006.
41. J. R. Kanwar, X. Sun, V. Punj et al., "Nanoparticles in the treatment and diagnosis of neurological disorders: Untamed dragon with fire power to heal," Nanomedicine, vol. 8, no. 4, pp. 399-414, 2012.
42. F. Perez-Balderas, B. G. Davis, S. I. van Kasteren et al., "New biodegradable multimeric MR contrast agent shows rapid in vitro and in vivo degradation and high sensitivity contrast," Proceedings of the International Society for Magnetic Resonance in Medicine, vol. 19, p. 1689, 2011.
43. S. Kato, K. Kitagawa, N. Ishida et al., "Assessment of coronary artery disease using magnetic resonance coronary angiography: a national multicenter trial," Journal of the American College of Cardiology, vol. 56, no. 12, pp. 983-991, 2010.
44. W. B.Meijboom, C. A. G. vanMieghem, N. R.Mollet et al., "64-slice computed tomography coronary angiography in patients with high, intermediate, or low pretest probability of significant coronary artery disease," Journal of the American College of Cardiology, vol. 50, no. 15, pp. 1469-1475, 2007.
45. R. Blankstein, W. Ahmed, F. Bamberg et al., "Comparison of exercise treadmill testing with cardiac computed tomography angiography among patients presenting to the emergency room with chest pain: the rule out myocardial infarction using computer-assisted tomography (ROMICAT) study," Circulation: Cardiovascular Imaging, vol. 5, no. 2, pp. 233-242, 2012.
46. D. Andreini, G. Pontone,M. Pepi et al., "Diagnostic accuracy of multidetector computed tomography coronary angiography in patients with dilated cardiomyopathy," Journal of the American College of Cardiology, vol. 49, no. 20, pp. 2044-2050, 2007.
47. G. Pontone, D. Andreini, A. L. Bartorelli et al., "Feasibility and accuracy of a comprehensive multidetector computed tomography acquisition for patients referred for balloon-expandable transcatheter aortic valve implantation," American Heart Journal, vol. 161, no. 6, pp. 1106-1113, 2011.
48. P. Nardi, A. Pellegrino, A. Romagnoli et al., "Multidetector computed tomographic coronary angiography as an alternative to conventional coronary angiography in non-coronary surgical patients," Journal of Cardiovascular Surgery, vol. 52, no. 3, pp. 429-435, 2011.
49. G. Pontone, D. Andreini, A. L. Bartorelli et al., "Diagnostic accuracy of coronary CT angiography: comparison between prospective and retrospective ECG triggering," Journal of the American College of Cardiology, vol. 54,no. 4, pp. 346-355, 2009.
50. J. Leipsic, T. M. LaBounty, B. Heilbron et al., "Estimated radiation dose reduction using adaptive statistical iterative reconstruction in coronary CT angiography: the ERASIR study," American Journal of Roentgenology, vol. 195, no. 3, pp. 655-660, 2010.
51. G. Pontone, D. Andreini, A. L. Bartorelli et al., "Comparison between low-dose multidetector computed coronary angiography and myocardial perfusion imaging test in patients with intermediate pre-test likelihood of coronary artery disease," International Journal of Cardiology, vol. 147, no. 3, pp. 454-457, 2011.
52. G. L. Raff, M. J. Gallagher, W. W. O'Neill, and J. A. Goldstein, "Diagnostic accuracy of noninvasive coronary angiography using 64-slice spiral computed tomography," Journal of the American College of Cardiology, vol. 46,no. 3, pp. 552-557, 2005.
53. M. Dewey, A. L. Vavere, A. Arbab-Zadeh et al., "Patient characteristics as predictors of image quality and diagnostic accuracy of MDCT compared with conventional coronary angiography for detecting coronary artery stenoses: CORE-64 multicenter international trial," The American Journal of Roentgenology, vol. 194, no. 1, pp. 93-102, 2010.
54. J. M. van Werkhoven, J. D. Schuijf, O. Gaemperli et al., "Prognostic value of multislice computed tomography and gated single-photon emission computed tomography in patients with suspected coronary artery disease," Journal of the American College of Cardiology, vol. 53, no. 7, pp. 623-632, 2009.
55. G. Mowatt, J. A. Cook, G. S. Hillis et al., "64-Slice computed tomography angiography in the diagnosis and assessment of coronary artery disease: systematic review and meta-analysis," Heart, vol. 94, no. 11, pp. 1386-1393, 2008.
56. W. B. Meijboom, C. A. G. van Mieghem, N. van Pelt et al., "Comprehensive assessment of coronary artery stenoses: computed tomography coronary angiography versus conventional coronary angiography and correlation with fractional flow reserve in patients with stable angina," Journal of the American College of Cardiology, vol. 52, no. 8, pp. 636-643, 2008.
57. C. J.Wolfkiel, J. L. Ferguson, E. V. Chomka et al., "Measurement of myocardial blood flow by ultrafast computed tomography," Circulation, vol. 76, no. 6, pp. 1262-1273, 1987.
58. J. A. Rumberger, A. J. Feiring,M. J. Lipton, C. B. Higgins, S. R. Ell, and M. L. Marcus, "Use of ultrafast computed tomography to quantitate regional myocardial perfusion: a preliminary report," Journal of theAmericanCollege of Cardiology, vol. 9, no. 1, pp. 59-69, 1987.
59. J. H. Newhouse and R. X. Murphy Jr., "Tissue distribution of soluble contrast: effect of dose variation and changes with time," The American Journal of Roentgenology, vol. 136, no. 3, pp. 463-467, 1981.
60. T. G. Flohr, R. Raupach, and H. Bruder, "Cardiac CT: how much can temporal resolution, spatial resolution, and volume coverage be improved?" Journal of Cardiovascular Computed Tomography, vol. 3, no. 3, pp. 143-152, 2009.
61. J. Tang, J. Hsieh, and G.-H. Chen, "Temporal resolution improvement in cardiac CT using PICCS (TRI-PICCS): performance studies," Medical Physics, vol. 37, no. 8, pp. 4377-4388, 2010.
62. S. Achenbach, U. Ropers, A. Kuettner et al., "Randomized comparison of 64-slice single-and dual-source computed tomography coronary angiography for the detection of coronary artery disease," JACC: Cardiovascular Imaging, vol. 1, no. 2,pp. 177-186, 2008.
63. J. Leipsic, T. M. Labounty, C. J. Hague et al., "Effect of a novel vendor-specific motion-correction algorithm on image quality and diagnostic accuracy in persons undergoing coronary CT angiography without rate-control medications," Journal of Cardiovascular Computed Tomography, vol. 6, no. 3, pp. 164-171, 2012.
64. T. A. Fuchs, J. Stehli, S.Dougoud et al., "Impact of a newmotioncorrection algorithm on image quality of low-dose coronary CT angiography in patients with insufficient heart rate control," Academic Radiology, vol. 21, no. 3, pp. 312-317, 2014.
65. F. J. Rybicki, H. J. Otero, M. L. Steigner et al., "Initial evaluation of coronary images from 320-detector row computed tomography," International Journal of Cardiovascular Imaging, vol. 24, no. 5, pp. 535-546, 2008.
66. S. Mori, K. Nishizawa, C. Kondo, M. Ohno, K. Akahane, and M. Endo, "Effective doses in subjects undergoing computed tomography cardiac imaging with the 256-multislice CT scanner," European Journal of Radiology, vol. 65, no. 3, pp. 442-448, 2008.
67. S. Achenbach, M. Marwan, T. Schepis et al., "High-pitch spiral acquisition: a new scan mode for coronary CT angiography," Journal of Cardiovascular Computed Tomography, vol. 3, no. 2, pp. 117-121, 2009.
68. R. T. George, A. Arbab-Zadeh, R. J. Cerci et al., "Diagnostic performance of combined noninvasive coronary angiography and myocardial perfusion imaging using 320-MDCT: the CT angiography and perfusion methods of the CORE320 multicenter multinational diagnostic study," American Journal of Roentgenology, vol. 197, no. 4, pp. 829-837, 2011.
69. B. B. Ertl-Wagner, R.-T. Hoffmann, R. Bruning et al., "Multidetector row CT angiography of the brain at various kilovoltage settings," Radiology, vol. 231, no. 2, pp. 528-535, 2004.
70. A. So, J. Hsieh, Y. Imai et al., "Prospectively ECG-triggered rapid kV-switching dual-energy CT for quantitative imaging of myocardial perfusion," JACC: Cardiovascular Imaging, vol. 5, no. 8, pp. 829-836, 2012.
71. A. So, J. Hsieh, J.-Y. Li, J. Hadway, H.-F. Kong, and T.-Y. Lee, "Quantitative myocardial perfusion measurement using CT perfusion: a validation study in a porcine model of reperfused acute myocardial infarction," International Journal of Cardiovascular Imaging, vol. 28, no. 5, pp. 1237-1248, 2012.
72. G. Pontone, L. Grancini, D. Andreini, M. Pepi, and A. L. Bartorelli, "Myocardial perfusion imaging using dual-energy computed tomography: a clinical case.," European heart journal cardiovascular Imaging, vol. 14, no. 8, p. 835, 2013.
73. R. T. George, A. Arbab-Zadeh, J. M. Miller 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," Circulation: Cardiovascular Imaging, vol. 2, no. 3, pp. 174-182, 2009.
74. R. Blankstein, L. D. Shturman, I. S. Rogers et al., "Adenosineinduced stressmyocardial perfusion imaging using dual-source cardiac computed tomography," Journal of the American College of Cardiology, vol. 54, no. 12, pp. 1072-1084, 2009.
75. J. A. Rocha-Filho, R. Blankstein, L. D. Shturman et al., "Incremental value of adenosine-induced stressmyocardial perfusion imaging with dual-source CT at cardiac CT angiography," Radiology, vol. 254, no. 2, pp. 410-419, 2010.
76. D. R. Okada, B. B. Ghoshhajra, R. Blankstein et al., "Direct comparison of rest and adenosine stress myocardial perfusion CT with rest and stress SPECT," Journal of Nuclear Cardiology, vol. 17, no. 1, pp. 27-37, 2010.
77. R. C. Cury, T. A. Magalhães, A. C. Borges et al., "Dipyridamole stress and rest myocardial perfusion by 64-detector row computed tomography in patients with suspected coronary artery disease,"The American Journal of Cardiology, vol. 106, no. 3, pp. 310-315, 2010.
78. K.-T. Ho, K.-C. Chua, E. Klotz, and C. Panknin, "Stress and rest dynamic myocardial perfusion imaging by evaluation of complete time-attenuation curves with dual-source CT," JACC: Cardiovascular Imaging, vol. 3, no. 8, pp. 811-820, 2010.
79. S. M. Ko, J. W. Choi, M. G. Song et al., "Myocardial perfusion imaging using adenosine-induced stress dual-energy computed tomography of the heart: comparison with cardiac magnetic resonance imaging and conventional coronary angiography," European Radiology, vol. 21, no. 1, pp. 26-35, 2011.
80. B. K. Tamarappoo, D. Dey, R. Nakazato et al., "Comparison of the extent and severity of myocardial perfusion defects measured by CT coronary angiography and SPECT myocardial perfusion imaging," JACC: Cardiovascular Imaging, vol. 3, no. 10, pp. 1010-1019, 2010.
81. F. Bamberg, A. Becker, F. Schwarz et al., "Detection of hemodynamically significant coronary artery stenosis: incremental diagnostic value of dynamic CT-based myocardial perfusion imaging," Radiology, vol. 260, no. 3, pp. 689-698, 2011.
82. G. Feuchtner, R. Goetti, A. Plass et al., "Adenosine stress high-pitch 128-slice dual-source myocardial computed tomography perfusion for imaging of reversible myocardial ischemia comparison with magnetic resonance imaging," Circulation: Cardiovascular Imaging, vol. 4, no. 5, pp. 540-549, 2011.
83. B. S. Ko, J. D. Cameron, I. T. Meredith et al., "Computed tomography stress myocardial perfusion imaging in patients considered for revascularization: a comparison with fractional flow reserve," European Heart Journal, vol. 33, no. 1, pp. 67-77, 2012.
84. C. E. Rochitte, R. T. George, M. Y. Chen et al., "Computed tomography angiography and perfusion to assess coronary artery stenosis causing perfusion defects by single photon emission computed tomography: the CORE320 study," European Heart Journal, vol. 35, no. 17, pp. 1120-1130, 2014.
85. C. A. Taylor, T. A. Fonte, and J. K. Min, "Computational fluid dynamics applied to cardiac computed tomography for noninvasive quantification of fractional flow reserve: scientific basis," Journal of the American College of Cardiology, vol. 61, no. 22, pp. 2233-2241, 2013.
86. B.-K. Koo, A. Erglis, J.-H. Doh et al., "Diagnosis of ischemiacausing coronary stenoses by noninvasive fractional flow reserve computed from coronary computed tomographic angiograms. Results from the prospective multicenter DISCOVER-FLOW (Diagnosis of Ischemia-Causing Stenoses Obtained Via Noninvasive Fractional Flow Reserve) study," Journal of the American College of Cardiology, vol. 58, no. 19, pp. 1989-1997, 2011.
87. J. K.Min, J. Leipsic, M. J. Pencina et al., "Diagnostic accuracy of fractional flow reserve fromanatomic CT angiography," Journal of the American Medical Association, vol. 308, no. 12, pp. 1237-1245, 2012.
88. B. L. Nørgaard, J. Leipsic, S. Gaur et al., "Diagnostic performance of noninvasive fractional flow reserve derived from coronary computed tomography angiography in suspected coronary artery disease: the NXT trial (Analysis of Coronary Blood Flow Using CT Angiography: Next Steps)," Journal of the American College of Cardiology, vol. 63, no. 12, pp. 1145-1155, 2014.