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BioMed Research International
Volume 2015, Article ID 297696, 14 pages
http://dx.doi.org/10.1155/2015/297696
Review Article

Functional Relevance of Coronary Artery Disease by Cardiac Magnetic Resonance and Cardiac Computed Tomography: Myocardial Perfusion and Fractional Flow Reserve

1Centro Cardiologico Monzino, IRCCS, Via C. Parea 4, 20138 Milan, Italy
2Department of Cardiovascular Sciences and Community Health, University of Milan, Italy
3Ospedali Riuniti, Department of Cardiology, University of Foggia, Italy

Received 23 June 2014; Accepted 31 August 2014

Academic Editor: Maria Antonietta Mazzei

Copyright © 2015 Gianluca Pontone et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  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. View at Publisher · View at Google Scholar
  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. View at Publisher · View at Google Scholar · View at Scopus
  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. View at Publisher · View at Google Scholar · View at Scopus
  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. View at Publisher · View at Google Scholar · View at Scopus
  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. View at Publisher · View at Google Scholar · View at Scopus
  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. View at Publisher · View at Google Scholar · View at Scopus
  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. View at Publisher · View at Google Scholar · View at Scopus
  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. View at Publisher · View at Google Scholar · View at Scopus
  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. View at Publisher · View at Google Scholar · View at Scopus
  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. View at Google Scholar · View at Scopus
  11. R. C. Cury, T. M. Kitt, K. Feaheny, J. Akin, and R. T. George, “Regadenoson-stress myocardial CT perfusion and single-photon emission CT: rationale, design, and acquisition methods of a prospective, multicenter, multivendor comparison,” Journal of Cardiovascular Computed Tomography, vol. 8, no. 1, pp. 2–12, 2014. View at Publisher · View at Google Scholar · View at Scopus
  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. View at Publisher · View at Google Scholar · View at Scopus
  13. P. A. L. Tonino, B. de Bruyne, 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. View at Publisher · View at Google Scholar · View at Scopus
  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. View at Publisher · View at Google Scholar · View at Scopus
  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 flow reserve,” Circulation, vol. 94, no. 8, pp. 1842–1849, 1996. View at Publisher · View at Google Scholar · View at Scopus
  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. View at Publisher · View at Google Scholar · View at Scopus
  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. View at Publisher · View at Google Scholar · View at Scopus
  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. View at Publisher · View at Google Scholar · View at Scopus
  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. View at Publisher · View at Google Scholar · View at Scopus
  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. View at Publisher · View at Google Scholar · View at Scopus
  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. View at Publisher · View at Google Scholar · View at Scopus
  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. View at Publisher · View at Google Scholar · View at Scopus
  23. J. Schwitter, C. M. Wacker, A. C. Van Rossum et al., “MR-IMPACT: comparison of perfusion-cardiac magnetic resonance with single-photon emission computed tomography for the detection of coronary artery disease in a multicentre, multivendor, randomized trial,” European Heart Journal, vol. 29, no. 4, pp. 480–489, 2008. View at Publisher · View at Google Scholar · View at Scopus
  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 (CE-MARC): a prospective trial,” The Lancet, vol. 379, no. 9814, pp. 453–460, 2012. View at Publisher · View at Google Scholar · View at Scopus
  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. View at Publisher · View at Google Scholar
  26. J. P. Greenwood, M. Motwani, N. Maredia et al., “Comparison of 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. View at Publisher · View at Google Scholar · View at Scopus
  27. M. J. Lipinski, C. M. McVey, J. S. Berger, C. M. Kramer, and M. 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. View at Publisher · View at Google Scholar · View at Scopus
  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. View at Publisher · View at Google Scholar · View at Scopus
  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. View at Publisher · View at Google Scholar · View at Scopus
  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. View at Publisher · View at Google Scholar · View at Scopus
  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. View at Publisher · View at Google Scholar · View at Scopus
  32. E. L. Wallace, T. M. Morgan, T. F. Walsh et al., “Dobutamine cardiac magnetic resonance results predict cardiac prognosis in women with known or suspected ischemic heart disease,” JACC: Cardiovascular Imaging, vol. 2, no. 3, pp. 299–307, 2009. View at Publisher · View at Google Scholar · View at Scopus
  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. View at Publisher · View at Google Scholar · View at Scopus
  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. View at Publisher · View at Google Scholar · View at Scopus
  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. View at Publisher · View at Google Scholar · View at Scopus
  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. View at Publisher · View at Google Scholar · View at Scopus
  37. R. Jogiya, S. Kozerke, G. Morton et al., “Validation of dynamic 3-dimensional whole heart magnetic resonance myocardial 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. View at Publisher · View at Google Scholar · View at Scopus
  38. S. A. Tsaftaris, X. Zhou, R. Tang, D. Li, and R. Dharmakumar, “Detecting myocardial ischemia at rest with cardiac phase-resolved blood oxygen level-dependent cardiovascular magnetic resonance,” Circulation: Cardiovascular Imaging, vol. 6, no. 2, pp. 311–319, 2013. View at Publisher · View at Google Scholar · View at Scopus
  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. View at Publisher · View at Google Scholar · View at Scopus
  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. View at Publisher · View at Google Scholar · View at Scopus
  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. View at Publisher · View at Google Scholar · View at Scopus
  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. View at Google Scholar
  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. View at Publisher · View at Google Scholar · View at Scopus
  44. W. B. Meijboom, C. A. G. van Mieghem, 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. View at Publisher · View at Google Scholar · View at Scopus
  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. View at Publisher · View at Google Scholar · View at Scopus
  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. View at Publisher · View at Google Scholar · View at Scopus
  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. View at Publisher · View at Google Scholar · View at Scopus
  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. View at Google Scholar · View at Scopus
  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. View at Publisher · View at Google Scholar · View at Scopus
  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. View at Publisher · View at Google Scholar · View at Scopus
  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. View at Publisher · View at Google Scholar · View at Scopus
  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. View at Publisher · View at Google Scholar · View at Scopus
  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. View at Publisher · View at Google Scholar · View at Scopus
  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. View at Publisher · View at Google Scholar · View at Scopus
  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. View at Publisher · View at Google Scholar · View at Scopus
  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. View at Publisher · View at Google Scholar · View at Scopus
  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. View at Publisher · View at Google Scholar · View at Scopus
  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 the American College of Cardiology, vol. 9, no. 1, pp. 59–69, 1987. View at Publisher · View at Google Scholar · View at Scopus
  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. View at Publisher · View at Google Scholar · View at Scopus
  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. View at Publisher · View at Google Scholar · View at Scopus
  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. View at Publisher · View at Google Scholar · View at Scopus
  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. View at Publisher · View at Google Scholar · View at Scopus
  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. View at Publisher · View at Google Scholar · View at Scopus
  64. T. A. Fuchs, J. Stehli, S. Dougoud et al., “Impact of a new motion-correction 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. View at Publisher · View at Google Scholar · View at Scopus
  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. View at Publisher · View at Google Scholar · View at Scopus
  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. View at Publisher · View at Google Scholar · View at Scopus
  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. View at Publisher · View at Google Scholar · View at Scopus
  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. View at Publisher · View at Google Scholar · View at Scopus
  69. B. B. Ertl-Wagner, R.-T. Hoffmann, R. Bruning et al., “Multi-detector row CT angiography of the brain at various kilovoltage settings,” Radiology, vol. 231, no. 2, pp. 528–535, 2004. View at Publisher · View at Google Scholar · View at Scopus
  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. View at Publisher · View at Google Scholar · View at Scopus
  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. View at Publisher · View at Google Scholar · View at Scopus
  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. View at Publisher · View at Google Scholar · View at Scopus
  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. View at Publisher · View at Google Scholar · View at Scopus
  74. R. Blankstein, L. D. Shturman, I. S. Rogers et al., “Adenosine-induced stress myocardial perfusion imaging using dual-source cardiac computed tomography,” Journal of the American College of Cardiology, vol. 54, no. 12, pp. 1072–1084, 2009. View at Publisher · View at Google Scholar · View at Scopus
  75. J. A. Rocha-Filho, R. Blankstein, L. D. Shturman et al., “Incremental value of adenosine-induced stress myocardial perfusion imaging with dual-source CT at cardiac CT angiography,” Radiology, vol. 254, no. 2, pp. 410–419, 2010. View at Publisher · View at Google Scholar · View at Scopus
  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. View at Publisher · View at Google Scholar · View at Scopus
  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. View at Publisher · View at Google Scholar · View at Scopus
  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. View at Publisher · View at Google Scholar · View at Scopus
  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. View at Publisher · View at Google Scholar · View at Scopus
  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. View at Publisher · View at Google Scholar · View at Scopus
  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. View at Publisher · View at Google Scholar · View at Scopus
  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. View at Publisher · View at Google Scholar · View at Scopus
  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. View at Publisher · View at Google Scholar · View at Scopus
  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. View at Publisher · View at Google Scholar · View at Scopus
  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. View at Publisher · View at Google Scholar · View at Scopus
  86. B.-K. Koo, A. Erglis, J.-H. Doh et al., “Diagnosis of ischemia-causing 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. View at Publisher · View at Google Scholar · View at Scopus
  87. J. K. Min, J. Leipsic, M. J. Pencina et al., “Diagnostic accuracy of fractional flow reserve from anatomic CT angiography,” Journal of the American Medical Association, vol. 308, no. 12, pp. 1237–1245, 2012. View at Publisher · View at Google Scholar · View at Scopus
  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. View at Publisher · View at Google Scholar · View at Scopus