Cardiac CT for myocardial Ischaemia detection and characterization-comparative analysis

British Journal of Radiology

Volumn 87, Issue 1043, 2014, Pages

  Bucher, A M ^a,b   De Cecco, C N ^a,c   Schoepf, U J ^a   Wang, R ^a,d   Meinel, F G ^a,e   Binukrishnan, S R ^f   Spearman, J V ^a   Vogl, T J ^b   Ruzsics, B ^f  

^a MEDICAL UNIVERSITY OF SOUTH CAROLINA   (United States)

^b UNIVERSITY HOSPITAL FRANKFURT   (Germany)

^c SAPIENZA UNIVERSITY OF ROME   (Italy)

^d CAPITAL MEDICAL UNIVERSITY   (China)

^e LUDWIG MAXIMILIANS UNIVERSITY   (Germany)

^f ROYAL LIVERPOOL AND BROADGREEN UNIVERSITY HOSPITALS NHS TRUST   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ANGIOCARDIOGRAPHY; COMPUTER ASSISTED TOMOGRAPHY; CORONARY ARTERY BLOOD FLOW; HEART MUSCLE ISCHEMIA; HUMAN; MYOCARDIAL PERFUSION IMAGING; PATHOPHYSIOLOGY; PROCEDURES; RADIOGRAPHY; REPRODUCIBILITY;

CORONARY ANGIOGRAPHY; CORONARY CIRCULATION; HUMANS; MYOCARDIAL ISCHEMIA; MYOCARDIAL PERFUSION IMAGING; REPRODUCIBILITY OF RESULTS; TOMOGRAPHY, X-RAY COMPUTED;

EID: 84908681934     PISSN: 00071285     EISSN: 1748880X     Source Type: Journal    
DOI: 10.1259/bjr.20140159     Document Type: Review

References (112)

1. WHO. The top 10 causes of death. Geneva, Switzerland: World Health Organization; 2013.
2. Go AS, Mozaffarian D, Roger VL, Benjamin EJ, Berry JD, Borden WB, et al. Executive summary: heart disease and stroke statistics-2013 update: a report from the American Heart Association. Circulation 2013; 127: 143-52.
3. Sones FM Jr, Shirey EK, Proudfit WL, Westcott RN. Cine-coronary arteriography. Circulation 1959; 20: 773.
4. Emond M, Mock MB, Davis KB, Fisher LD, Holmes DR Jr, Chaitman BR, et al. Longterm survival of medically treated patients in the Coronary Artery Surgery Study (CASS) Registry. Circulation 1994; 90: 2645-57.
5. Sanidas E, Dangas G. Evolution of intravascular assessment of coronary anatomy and physiology: from ultrasound imaging to optical and flow assessment. Eur J Clin Invest 2013; 43: 996-1008. doi: 10.1111/eci.12119
6. de Araujo Goncalves P, Jeronimo Sousa P, Cale R, Marques H, Borges dos Santos M, Dias A, et al. Effective radiation dose of three diagnostic tests in cardiology: single photon emission computed tomography, invasive coronary angiography and cardiac computed tomography angiography. Rev Port Cardiol 2013; 32: 981-6.
7. Kuon E, Weitmann K, Hummel A, Dörr M, Reffelmann T, Riad A, et al. Latestgeneration catheterization systems enable invasive submillisievert coronary angiography. Herz December 2013. Epub ahead of print. doi: 10.1007/s00059-013-4015-8
8. Vlodaver Z, Frech R, Van Tassel RA, Edwards JE. Correlation of the antemortem coronary arteriogram and the postmortem specimen. Circulation 1973; 47: 162-9.
9. Sipahi I, Tuzcu EM, Schoenhagen P, Nicholls SJ, Chen MS, Crowe T, et al. Paradoxical increase in lumen size during progression of coronary atherosclerosis: observations from the REVERSAL trial. Atherosclerosis 2006; 189: 229-35.
10. Vranckx P, Cutlip DE, McFadden EP, Kern MJ, Mehran R, Muller O. Coronary pressure-derived fractional flow reserve measurements: recommendations for standardization, recording, and reporting as a core laboratory technique. Proposals for integration in clinical trials. Circ Cardiovasc Interv 2012; 5: 312-17.
11. Miszalski-Jamka T, Klimeczek P, Banys̈ R, Krupiński M, Nycz K, Bury K, et al. The composition and extent of coronary artery plaque detected by multislice computed tomographic angiography provides incremental prognostic value in patients with suspected coronary artery disease. Int J Cardiovasc Imaging 2012; 28: 621-31.
12. Gorenoi V, Schönermark MP, Hagen A. CT coronary angiography vs invasive coronary angiography in CHD. GMS Health Technol Assess 2012; 8: Doc02. doi: 10.3205/hta000100
13. Hadamitzky M, Täubert S, Deseive S, Byrne RA, Martinoff S, Schömig A, et al. Prognostic value of coronary computed tomography angiography during 5 years of followup in patients with suspected coronary artery disease. Eur Heart J 2013; 34: 3277-85.
14. Taylor AJ, Cerqueira M, Hodgson JM, Mark D, Min J, O'Gara P, et al. ACCF/SCCT/ACR/AHA/ASE/ASNC/NASCI/SCAI/SCMR 2010 appropriate use criteria for cardiac computed tomography. A report of the American College of Cardiology Foundation Appropriate Use Criteria Task Force, the Society of Cardiovascular Computed Tomography, the American College of Radiology, the American Heart Association, the American Society of Echocardiography, the American Society of Nuclear Cardiology, the North American Society for Cardiovascular Imaging, the Society for Cardiovascular Angiography and Interventions, and the Society for Cardiovascular Magnetic Resonance. Circulation 2010; 122: e525-55.
15. Cook TS, Galperin-Aizenberg M, Litt HI. Coronary and cardiac computed tomography in the emergency room: current status and future directions. J Thorac Imaging 2013; 28: 204-16. doi: 10.1097/RTI.0b013e3182956bbf
16. Maroules CD, Blaha MJ, El-Haddad MA, Ferencik M, Cury RC. Establishing a successful coronary CT angiography program in the emergency department: official writing of the Fellow and Resident Leaders of the Society of Cardiovascular Computed Tomography (FiRST). J Cardiovasc Comput Tomogr 2013; 7: 150-6.
17. Malagó R, Pezzato A, Barbiani C, Tavella D, Vallerio P, Pasini AF, et al. Role of MDCT coronary angiography in the clinical setting: economic implications. Radiol Med 2013; 118: 1294-308.
18. Klocke FJ, Baird MG, Lorell BH, Bateman TM, Messer JV, Berman DS, et al. ACC/AHA/ASNC guidelines for the clinical use of cardiac radionuclide imaging-executive summary: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines (ACC/AHA/ASNC Committee to Revise the 1995 Guidelines for the Clinical Use of Cardiac Radionuclide Imaging). Circulation 2003; 108: 1404-18.
19. Sarno G, Decraemer I, Vanhoenacker PK, De Bruyne B, Hamilos M, Cuisset T, et al. On the inappropriateness of noninvasive multidetector computed tomography coronary angiography to trigger coronary revascularization: a comparison with invasive angiography. JACC Cardiovasc Interv 2009; 2: 550-7.
20. Hachamovitch R, Hayes SW, Friedman JD, Cohen I, Berman DS. Comparison of the short-term survival benefit associated with revascularization compared with medical therapy in patients with no prior coronary artery disease undergoing stress myocardial perfusion single photon emission computed tomography. Circulation 2003; 107: 2900-7.
21. Pijls NH, Fearon WF, Tonino PA, Siebert U, Ikeno F, Bornschein B, et al. Fractional flow reserve versus angiography for guiding percutaneous coronary intervention in patients with multivessel coronary artery disease: 2-year follow-up of the FAME (Fractional Flow Reserve Versus Angiography for Multivessel Evaluation) study. J Am Coll Cardiol 2010; 56: 177-84.
22. Shaw LJ, Berman DS, Maron DJ, Mancini GB, Hayes SW, Hartigan PM, 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 2008; 117: 1283-91. doi: 10.1161/CIRCULATIONAHA.107.743963
23. Kern MJ, Samady H. Current concepts of integrated coronary physiology in the catheterization laboratory. J Am Coll Cardiol 2010; 55: 173-85. doi: 10.1016/j.jacc.2009.06.062
24. Meijboom WB, Van Mieghem CA, van Pelt N, Weustink A, Pugliese F, Mollet NR, 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. J Am Coll Cardiol 2008; 52: 636-43.
25. Lee TH, Boucher CA. Clinical practice. Noninvasive tests in patients with stable coronary artery disease. N Engl J Med 2001; 344: 1840-5. doi: 10.1056/NEJM200106143442406
26. Levine MG, McGill CC, Ahlberg AW, White MP, Giri S, Shareef B, et al. Functional assessment with electrocardiographic gated single-photon emission computed tomography improves the ability of technetium-99m sestamibi myocardial perfusion imaging to predict myocardial viability in patients undergoing revascularization. Am J Cardiol 1999; 83: 1-5.
27. Iskandrian AS, Chae SC, Heo J, Stanberry CD, Wasserleben V, Cave V. Independent and incremental prognostic value of exercise single-photon emission computed tomographic (SPECT) thallium imaging in coronary artery disease. J Am Coll Cardiol 1993; 22: 665-70.
28. Parker MW, Iskandar A, Limone B, Perugini A, Kim H, Jones C, et al. Diagnostic accuracy of cardiac positron emission tomography versus single photon emission computed tomography for coronary artery disease: a bivariate meta-analysis. Circ Cardiovasc Imaging 2012; 5: 700-7.
29. Gibbons RJ, Miller TD, Christian TF. Infarct size measured by single photon emission computed tomographic imaging with (99m)Tc-sestamibi: a measure of the efficacy of therapy in acute myocardial infarction. Circulation 2000; 101: 101-8.
30. Vliegenthart R, Henzler T, Moscariello A, Ruzsics B, Bastarrika G, Oudkerk M, et al. CT of coronary heart disease: part 1, CT of myocardial infarction, ischemia, and viability. AJR Am J Roentgenol 2012; 198: 531-47. doi: 10.2214/AJR.11.7082
31. Ahmed N, Carrick D, Layland J, Oldroyd KG, Berry C. The role of cardiac magnetic resonance imaging (MRI) in acute myocardial infarction (AMI). Heart Lung Circ 2013; 22: 243-55. doi: 10.1016/j.hlc.2012.11.016
32. Schwitter J, Wacker CM, van Rossum AC, Lombardi M, Al-Saadi N, Ahlstrom H, et al. MR-IMPACT: comparison of perfusioncardiac magnetic resonance with singlephoton emission computed tomography for the detection of coronary artery disease in a multicentre, multivendor, randomized trial. Eur Heart J 2008; 29: 480-9.
33. Hamon M, Fau G, Née G, Ehtisham J, Morello R, Hamon M. Meta-analysis of the diagnostic performance of stress perfusion cardiovascular magnetic resonance for detection of coronary artery disease. J Cardiovasc Magn Reson 2010; 12: 29.
34. Lipinski MJ, McVey CM, Berger JS, Kramer CM, Salerno M. Prognostic value of stress cardiac magnetic resonance imaging in patients with known or suspected coronary artery disease: a systematic review and meta-analysis. J Am Coll Cardiol 2013; 62: 826-38.
35. Greenwood JP, Motwani M, Maredia N, Brown JM, Everett CC, Nixon J, 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 2013; 129: 1129-38.
36. Walker S, Girardin F, McKenna C, Ball SG, Nixon J, Plein S, et al. Cost-effectiveness of cardiovascular magnetic resonance in the diagnosis of coronary heart disease: an economic evaluation using data from the CE-MARC study. Heart 2013; 99: 873-81. doi: 10.1136/heartjnl-2013-303624
37. Bluemke DA, Achenbach S, Budoff M, Gerber TC, Gersh B, Hillis LD, et al. Noninvasive coronary artery imaging: magnetic resonance angiography and multidetector computed tomography angiography: a scientific statement from the American Heart Association Committee on Cardiovascular Imaging and Intervention of the Council on Cardiovascular Radiology and Intervention, and the Councils on Clinical Cardiology and Cardiovascular Disease in the Young. Circulation 2008; 118: 586-606.
38. Patel MR, Bailey SR, Bonow RO, Chambers CE, Chan PS, Dehmer GJ, et al. ACCF/SCAI/AATS/AHA/ASE/ASNC/HFSA/HRS/SCCM/SCCT/SCMR/STS 2012 appropriate use criteria for diagnostic catheterization: American College of Cardiology Foundation Appropriate Use Criteria Task Force Society for Cardiovascular Angiography and Interventions American Association for Thoracic Surgery American Heart Association, American Society of Echocardiography American Society of Nuclear Cardiology Heart Failure Society of America Heart Rhythm Society, Society of Critical Care Medicine Society of Cardiovascular Computed Tomography Society for Cardiovascular Magnetic Resonance Society of Thoracic Surgeons. Catheter Cardiovasc Interv 2012; 80: E50-81.
39. Pijls NH, van Son JA, Kirkeeide RL, De Bruyne B, Gould KL. Experimental basis of determining maximum coronary, myocardial, and collateral blood flow by pressure measurements for assessing functional stenosis severity before and after percutaneous transluminal coronary angioplasty. Circulation 1993; 87: 1354-67.
40. van de Hoef TP, Meuwissen M, Escaned J, Davies JE, Siebes M, Spaan JA, et al. Fractional flow reserve as a surrogate for inducible myocardial ischaemia. Nat Rev Cardiol 2013; 10: 439-52. doi: 10.1038/nrcardio.2013.86
41. Tonino PA, De Bruyne B, Pijls NH, Siebert U, Ikeno F, van't Veer M, et al. Fractional flow reserve versus angiography for guiding percutaneous coronary intervention. N Engl J Med 2009; 360: 213-24. doi: 10.1056/NEJMoa0807611
42. Petraco R, Sen S, Nijjer S, Echavarria-Pinto M, Escaned J, Francis DP, et al. Fractional flow reserve-guided revascularization: practical implications of a diagnostic gray zone and measurement variability on clinical decisions. JACC Cardiovasc Interv 2013; 6: 222-5.
43. Christou MA, Siontis GC, Katritsis DG, Ioannidis JP. Meta-analysis of fractional flow reserve versus quantitative coronary angiography and noninvasive imaging for evaluation of myocardial ischemia. Am J Cardiol 2007; 99: 450-6. doi: 10.1016/j.amjcard.2006.09.092
44. Tonino PA, Fearon WF, De Bruyne B, Oldroyd KG, Leesar MA, Ver Lee PN, et al. Angiographic versus functional severity of coronary artery stenoses in the FAME study fractional flow reserve versus angiography in multivessel evaluation. J Am Coll Cardiol 2010; 55: 2816-21.
45. Pijls NH. Fractional flow reserve to guide coronary revascularization. Circ J 2013; 77: 561-9.
46. De Bruyne B, Pijls NH, Kalesan B, Barbato E, Tonino PA, Piroth Z, et al. Fractional flow reserve-guided PCI versus medical therapy in stable coronary disease. N Engl J Med 2012; 367: 991-1001. doi:10.1056/NEJMoa1205361
47. Gould KL, Lipscomb K. Effects of coronary stenoses on coronary flow reserve and resistance. Am J Cardiol 1974; 34: 48-55.
48. Kurata A, Mochizuki T, Koyama Y, Haraikawa T, Suzuki J, Shigematsu Y, et al. Myocardial perfusion imaging using adenosine triphosphate stress multi-slice spiral computed tomography: alternative to stress myocardial perfusion scintigraphy. Circ J 2005; 69: 550-7.
49. Mahmarian JJ, Cerqueira MD, Iskandrian AE, Bateman TM, Thomas GS, Hendel RC, et al. Regadenoson induces comparable left ventricular perfusion defects as adenosine: a quantitative analysis from the ADVANCE MPI 2 trial. JACC Cardiovasc Imaging 2009; 2: 959-68. doi: 10.1016/j.jcmg.2009.04.011
50. Salgado Garcia C, Jimenez Heffernan A, Sanchez de Mora E, Ramos Font C, Lopez Martin J, Rivera de Los Santos F, et al. Comparative study of the safety of regadenoson between patients with mild/moderate chronic obstructive pulmonary disease and asthma. Eur J Nucl Med Mol Imaging 2014; 41: 119-25.
51. Becker A, Becker C. CT imaging of myocardial perfusion: possibilities and perspectives. J Nucl Cardiol 2013; 20: 289-96.
52. Iwasaki K, Matsumoto T. Myocardial perfusion defect in patients with coronary artery disease demonstrated by 64-multidetector computed tomography at rest. Clin Cardiol 2011; 34: 454-60. doi:10.1002/clc.20908
53. Ruzsics B, Schwarz F, Schoepf UJ, Lee YS, Bastarrika G, Chiaramida SA, et al. Comparison of dual-energy computed tomography of the heart with single photon emission computed tomography for assessment of coronary artery stenosis and of the myocardial blood supply. Am J Cardiol 2009; 104: 318-26.
54. Tatineni S, Kern MJ, Deligonul U, Aguirre F. The effects of ionic and nonionic radiographic contrast media on coronary hyperemia in patients during coronary angiography. Am Heart J 1992; 123: 621-7.
55. Baile EM, Paré PD, D'Yachkova Y, Carere RG. Effect of contrast media on coronary vascular resistance: contrast-induced coronary vasodilation. Chest 1999; 116: 1039-45.
56. Kachenoura N, Lodato JA, Gaspar T, Bardo DM, Newby B, Gips S, et al. Value of multidetector computed tomography evaluation of myocardial perfusion in the assessment of ischemic heart disease: comparison with nuclear perfusion imaging. Eur Radiol 2009; 19: 1897-905.
57. Gerber BL, Belge B, Legros GJ, Lim P, Poncelet A, Pasquet A, et al. Characterization of acute and chronic myocardial infarcts by multidetector computed tomography: comparison with contrastenhanced magnetic resonance. Circulation 2006; 113: 823-33.
58. Habis M, Capderou A, Sigal-Cinqualbre A, Ghostine S, Rahal S, Riou JY, et al. Comparison of delayed enhancement patterns on multislice computed tomography immediately after coronary angiography and cardiac magnetic resonance imaging in acute myocardial infarction. Heart 2009; 95: 624-9.
59. Bischoff B, Bamberg F, Marcus R, Schwarz F, Becker HC, Becker A, et al. Optimal timing for first-pass stress CT myocardial perfusion imaging. Int J Cardiovasc Imaging 2013; 29: 435-42. doi:10.1007/s10554-012-0080-y
60. George RT, Arbab-Zadeh A, Miller JM, Vavere AL, Bengel FM, Lardo AC, et al. Computed tomography myocardial perfusion imaging with 320-row detector computed tomography accurately detects myocardial ischemia in patients with obstructive coronary artery disease. Circ Cardiovasc Imaging 2012; 5: 333-40.
61. Patel AR, Lodato JA, Chandra S, Kachenoura N, Ahmad H, Freed BH, et al. Detection of myocardial perfusion abnormalities using ultra-low radiation dose regadenoson stress multidetector computed tomography. J Cardiovasc Comput Tomogr 2011; 5: 247-54.
62. Cury RC, Magalhães TA, Paladino AT, Shiozaki AA, Perini M, Senra T, et al. Dipyridamole stress and rest transmural myocardial perfusion ratio evaluation by 64 detector-row computed tomography. J Cardiovasc Comput Tomogr 2011; 5: 443-8.
63. Mahnken AH, Lautenschlager S, Fritz D, Koos R, Scheuering M. Perfusion weighted color maps for enhanced visualization of myocardial infarction by MSCT: preliminary experience. Int J Cardiovasc Imaging 2008; 24: 883-90. doi: 10.1007/s10554-008-9318-0
64. George RT, Silva C, Cordeiro MA, DiPaula A, Thompson DR, McCarthy WF, et al. Multidetector computed tomography myocardial perfusion imaging during adenosine stress. J Am Coll Cardiol 2006; 48: 153-60.
65. Kachenoura N, Gaspar T, Lodato JA, Bardo DM, Newby B, Gips S, et al. Combined assessment of coronary anatomy and myocardial perfusion using multidetector computed tomography for the evaluation of coronary artery disease. Am J Cardiol 2009; 103: 1487-94.
66. Liew G, Ali N, Do S, Petranovic M, Cury R, Brady T, et al. A novel analysis algorithm for potential quantitative assessment of myocardial computed tomography perfusion. Acad Radiol 2013; 20: 1301-5.
67. Nikolaou K, Sanz J, Poon M, Wintersperger BJ, Ohnesorge B, Rius T, et al. Assessment of myocardial perfusion and viability from routine contrast-enhanced 16-detector-row computed tomography of the heart: preliminary results. Eur Radiol 2005; 15: 864-71. doi:10.1007/s00330-005-2672-6
68. Gupta M, Kadakia J, Jug B, Mao SS, Budoff MJ. Detection and quantification of myocardial perfusion defects by resting single-phase 64-slice cardiac computed tomography angiography compared with SPECT myocardial perfusion imaging. Coron Artery Dis 2013; 24: 290-7.
69. Nagao M, Matsuoka H, Kawakami H, Higashino H, Mochizuki T, Ohshita A, et al. Detection of myocardial ischemia using 64-slice MDCT. Circ J 2009; 73: 905-11.
70. Rocha-Filho JA, Blankstein R, Shturman LD, Bezerra HG, Okada DR, Rogers IS, et al. Incremental value of adenosineinduced stress myocardial perfusion imaging with dual-source CT at cardiac CT angiography. Radiology 2010; 254: 410-19. doi: 10.1148/radiol.09091014
71. Ko BS, Cameron JD, Leung M, Meredith IT, Leong DP, Antonis PR, et al. Combined CT coronary angiography and stress myocardial perfusion imaging for hemodynamically significant stenoses in patients with suspected coronary artery disease: a comparison with fractional flow reserve. JACC Cardiovasc Imaging 2012; 5: 1097-111.
72. Ko BS, Cameron JD, Meredith IT, Leung M, Antonis PR, Nasis A, et al. Computed tomography stress myocardial perfusion imaging in patients considered for revascularization: a comparison with fractional flow reserve. Eur Heart J 2012; 33: 67-77.
73. 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: 1072-84. doi: 10.1016/j.jacc.2009.06.014
74. Bettencourt N, Ferreira ND, Leite D, Carvalho M, Ferreira Wda S, Schuster A, et al. CAD detection in patients with intermediate-high pre-test probability: low-dose CT delayed enhancement detects ischemic myocardial scar with moderate accuracy but does not improve performance of a stress-rest CT perfusion protocol. J Am Coll Cardiol 2013; 6: 1062-71.
75. Busch JL, Alessio AM, Caldwell JH, Gupta M, Mao S, Kadakia J, et al. Myocardial hypo-enhancement on resting computed tomography angiography images accurately identifies myocardial hypoperfusion. J Cardiovasc Comput Tomogr 2011; 5: 412-20.
76. Stenner P, Schmidt B, Bruder H, Allmendinger T, Haberland U, Flohr T, et al. Partial scan artifact reduction (PSAR) for the assessment of cardiac perfusion in dynamic phase-correlated CT. Med Phys 2009; 36: 5683-94.
77. Coursey CA, Nelson RC, Boll DT, Paulson EK, Ho LM, Neville AM, et al. Dual-energy multidetector CT: how does it work, what can it tell us, and when can we use it in abdominopelvic imaging? Radiographics 2010; 30: 1037-55. doi: 10.1148/rg.304095175
78. Koonce JD, Vliegenthart R, Schoepf UJ, Schmidt B, Wahlquist AE, Nietert PJ, et al. Accuracy of dual-energy computed tomography for the measurement of iodine concentration using cardiac CT protocols: validation in a phantom model. Eur Radiol 2014; 24: 512-18.
79. So A, Hsieh J, Imai Y, Narayanan S, Kramer J, Procknow K, et al. Prospectively ECGtriggered rapid kV-switching dual-energy CT for quantitative imaging of myocardial perfusion. JACC Cardiovasc Imaging 2012; 5: 829-36. doi: 10.1016/j.jcmg.2011.12.026
80. Nance JW Jr, Bastarrika G, Kang DK, Ruzsics B, Vogt S, Schmidt B, et al. Hightemporal resolution dual-energy computed tomography of the heart using a novel hybrid image reconstruction algorithm: initial experience. J Comput Assist Tomogr 2011; 35: 119-25.
81. Arnoldi E, Lee YS, Ruzsics B, Weininger M, Spears JR, Rowley CP, et al. CT detection of myocardial blood volume deficits: dualenergy CT compared with single-energy CT spectra. J Cardiovasc Comput Tomogr 2011; 5: 421-9.
82. Vliegenthart R, Pelgrim GJ, Ebersberger U, Rowe GW, Oudkerk M, Schoepf UJ. Dualenergy CTof the heart. AJR Am J Roentgenol 2012; 199(Suppl. 5): S54-63. doi: 10.2214/AJR.12.9208
83. Feuchtner G, Goetti R, Plass A, Wieser M, Scheffel H, Wyss C, 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. Circ Cardiovasc Imaging 2011; 4: 540-9.
84. Feuchtner GM, Plank F, Pena C, Battle J, Min J, Leipsic J, et al. Evaluation of myocardial CT perfusion in patients presenting with acute chest pain to the emergency department: comparison with SPECT-myocardial perfusion imaging. Heart 2012; 98: 1510-17.
85. Weininger M, Schoepf UJ, Ramachandra A, Fink C, Rowe GW, Costello P, et al. Adenosine-stress dynamic real-time myocardial perfusion CT and adenosine-stress first-pass dual-energy myocardial perfusion CT for the assessment of acute chest pain: initial results. Eur J Radiol 2012; 81: 3703-10. doi: 10.1016/j.ejrad.2010.11.022
86. Wang Y, Qin L, Shi X, Zeng Y, Jing H, Schoepf UJ, et al. Adenosine-stress dynamic myocardial perfusion imaging with secondgeneration dual-source CT: comparison with conventional catheter coronary angiography and SPECT nuclear myocardial perfusion imaging. AJR Am J Roentgenol 2012; 198: 521-9.
87. 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: 1004-11. doi: 10.1136/heartjnl-2013-303794
88. Wang R, Yu W, Wang Y, He Y, Yang L, Bi T, et al. Incremental value of dual-energy CT to coronary CT angiography for the detection of significant coronary stenosis: comparison with quantitative coronary angiography and single photon emission computed tomography. Int J Cardiovasc Imaging 2011; 27: 647-56.
89. Meyer M, Nance JW Jr, Schoepf UJ, Moscariello A, Weininger M, Rowe GW, et al. Cost-effectiveness of substituting dualenergy CT for SPECT in the assessment of myocardial perfusion for the workup of coronary artery disease. Eur J Radiol 2012; 81: 3719-25. doi:10.1016/j.ejrad.2010.12.055
90. Delgado C, Vazquez M, Oca R, Vilar M, Trinidad C, Sanmartin M. Myocardial ischemia evaluation with dual-source computed tomography: comparison with magnetic resonance imaging. Rev Esp Cardiol (Engl Ed) 2013; 66: 864-70.
91. Kang DK, Schoepf UJ, Bastarrika G, Nance JW Jr, Abro JA, Ruzsics B. Dual-energy computed tomography for integrative imaging of coronary artery disease: principles and clinical applications. Semin Ultrasound CT MR 2010; 31: 276-91.
92. Ko SM, Choi JW, Song MG, Shin JK, Chee HK, Chung HW, 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. Eur Radiol 2011; 21: 26-35.
93. Ko SM, Choi JW, Hwang HK, Song MG, Shin JK, Chee HK. Diagnostic performance of combined noninvasive anatomic and functional assessment with dual-source CT and adenosine-induced stress dual-energy CT for detection of significant coronary stenosis. AJR Am J Roentgenol 2012; 198: 512-20.
94. Meinel FG, De Cecco CN, Schoepf UJ, Nance JW Jr, Silverman JR, Flowers BA, et al. First arterial-pass dual-energy CT for the assessment of the myocardial blood supply: do we need rest, stress, and delayed acquisition? Comparison with SPECT. Radiology 2014; 270: 708-16.
95. 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: 1086-91.
96. 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: 689-98.
97. 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: 811-20. doi: 10.1016/j.jcmg.2010.05.009
98. 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 significant coronary lesions? Eur Heart J Cardiovasc Imaging 2014; 15: 85-94.
99. Bastarrika G, Ramos-Duran L, Rosenblum MA, Kang DK, Rowe GW, Schoepf UJ. Adenosine-stress dynamic myocardial CT perfusion imaging: initial clinical experience. Invest Radiol 2010; 45: 306-13.
100. 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. doi: 10.1148/radiol.13112739
101. Futamatsu H, Wilke N, Klassen C, Angiolillo DJ, Suzuki N, Kawaguchi R, et al. Usefulness of cardiac magnetic resonance imaging for coronary artery disease detection. Minerva Cardioangiol 2007; 55: 105-14.
102. So A, Wisenberg G, Islam A, Amann J, Romano W, Brown J, et al. Non-invasive assessment of functionally relevant coronary artery stenoses with quantitative CT perfusion: preliminary clinical experiences. Eur Radiol 2012; 22: 39-50.
103. Patlak CS, Blasberg RG, Fenstermacher JD. Graphical evaluation of blood-to-brain transfer constants from multiple-time uptake data. J Cereb Blood Flow Metab 1983; 3: 1-7. doi: 10.1038/jcbfm.1983.1
104. Daghini E, Primak AN, Chade AR, Zhu X, Ritman EL, McCollough CH, et al. Evaluation of porcine myocardial microvascular permeability and fractional vascular volume using 64-slice helical computed tomography (CT). Invest Radiol 2007; 42: 274-82.
105. Mehra VC, Ambrose M, Valdiviezo-Schlomp C, Schuleri KH, Lardo AC, Lima JA, et al. CT-based myocardial perfusion imagingpractical considerations: acquisition, image analysis, interpretation, and challenges. J Cardiovasc Transl Res 2011; 4: 437-48.
106. Lauzier PT, Tang J, Speidel MA, Chen GH. Noise spatial nonuniformity and the impact of statistical image reconstruction in CT myocardial perfusion imaging. Med Phys 2012; 39: 4079-92. doi:10.1118/1.4722983
107. Stenner P, Schmidt B, Allmendinger T, Flohr T, Kachelrie M. Dynamic iterative beam hardening correction (DIBHC) in myocardial perfusion imaging using contrast-enhanced computed tomography. Invest Radiol 2010; 45: 314-23.
108. Muenzel D, Kabus S, Gramer B, Leber V, Vembar M, Schmitt H, et al. Dynamic CT perfusion imaging of the myocardium: a technical note on improvement of image quality. PloS One 2013; 8: e75263. doi:10.1371/journal.pone.0075263
109. Ebersberger U, Marcus RP, Schoepf UJ, Lo GG, Wang Y, Blanke P, et al. Dynamic CT myocardial perfusion imaging: performance of 3D semi-automated evaluation software. Eur Radiol 2014; 24: 191-9. doi: 10.1007/s00330-013-2997-5
110. Schwarz F, Hinkel R, Baloch E, Marcus RP, Hildebrandt K, Sandner TA, et al. Myocardial CT perfusion imaging in a large animal model: comparison of dynamic versus single-phase acquisitions. JACC Cardiovasc Imaging 2013; 6: 1229-38. doi: 10.1016/j.jcmg.2013.05.018
111. Huber AM, Leber V, Gramer BM, Muenzel D, Leber A, Rieber J, et al. Myocardium: dynamic versus single-shot CT perfusion imaging. Radiology 2013; 269: 378-86. doi: 10.1148/radiol.13121441
112. Kim SM, Kim YN, Choe YH. Adenosinestress dynamic myocardial perfusion imaging using 128-slice dual-source CT: optimization of the CT protocol to reduce the radiation dose. Int J Cardiovasc Imaging 2013; 29: 875-84. doi: 10.1007/s10554-012-0138-x