Abstract
Coronary CT angiography (CCTA) in a reliable non-invasive tool for the assessment of coronary artery disease (CAD) in patients with low to intermediate risk of CAD, with a high diagnostic accuracy and an excellent negative predictive value. When a coronary stenosis is present, it’s hemodynamical relevance needs to be determined in order to facilitate the appropriate therapeutic decision. CCTA per se is a poor predictor of the physiologic relevance of a given stenotic lesion
For that reason, both anatomic and functional testing is usually required to correctly identify patients who will benefit from coronary intervention. The evaluation of functional imaging has been done with modalities such as single photon emission computed tomography, Magnetic Resonance Imaging, stress echocardiography, and Positron Emission Tomography.
In recent years multidetector computed tomography (MDCT) started to perform a comprehensive evaluation (anatomical and functional) in a single study, offering a complete evaluation of patient’s ischemic heart disease. To date, there have been several single-center studies showing good results. Recently, two multicenter trials have confirmed earlier findings in a larger scale. However challenges of myocardial CT Perfusion is beam hardening artifacts that produce non-uniform changes in CT densitometry generating inadequate assessment of myocardial perfusion. With the recent developments of dual-energy CT (DECT), the beam hardening effect on myocardial perfusion measurement could be reduced by the generation of monochromatic images and material decomposition ones.
The chapter will focus on the utility of DECT in myocardial perfusion and will explain:
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Platforms for Dual-energy CTP, Scanning techniques, Types of analysis and postprocessing
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Scientific Evidence, Cases and Radiation dose
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References
Klepzig H. Diagnostic accuracy of dual-source multi-slice CT-coronary angiography in patients with an intermediate pretest likelihood for coronary artery disease. Eur Heart J. 2008;29(5):680.
Leber AW, Johnson T, Becker A, et al. Diagnostic accuracy of dual-source multi-slice CT-coronary angiography in patients with an intermediate pretest likelihood for coronary artery disease. Eur Heart J. 2007;28(19):2354–60.
Miller JM, Rochitte CE, Dewey M, et al. Diagnostic performance of coronary angiography by 64-row CT. N Engl J Med. 2008;359:2324–36.
Budoff MJ, Dowe D, Jollis JG, et al. Diagnostic performance of 64-multidetector row coronary computed tomographic angiography for evaluation of coronary artery stenosis in individuals without known coronary artery disease: results from the prospective multicenter ACCURACY (Assessment by Coronary Computed Tomographic Angiography of Individuals Undergoing Invasive Coronary Angiography) trial. J Am Coll Cardiol. 2008;52:1724–32.
Vanhoenacker PK, Heijenbrok-Kal MH, Van Heste R, et al. Diagnostic performance of multidetector CT angiography for assessment of coronary artery disease: meta-analysis. Radiology. 2007;244:419–28.
Carrascosa P, Capunay C, Deviggiano A, et al. Accuracy of low-dose prospectively gated axial coronary CT angiography for the assessment of coronary artery stenosis in patients with stable heart rate. J Cardiovasc Comput Tomogr. 2010;4(3):197–205.
Meijboom WB, Meijs MF, Schuijf JD, et al. Diagnostic accuracy of 64- slice computed tomography coronary angiography: a prospective, multicenter, multivendor study. J Am Coll Cardiol. 2008;52:2135–44.
Lloyd-Jones D, Adams R, Carnethon M, et al. Heart disease and stroke statistics: 2009 update—a report from the American Heart Association Statistics Committee and Stroke Statistics subcommittee. Circulation. 2009;119:480–6.
Stolzmann P, Donati OF, Scheffel H. Low-dose CT coronary angiography for the prediction of myocardial ischaemia. Eur Radiol. 2010;20:56–64.
Gaemperli O, Schepis T, Valenta I, et al. Functionally relevant coronary artery disease: comparison of 64-section CT angiography with myocardial perfusion SPECT. Radiology. 2008;248:414–23.
Hachamovitch R, Berman DS, Kiat H, et al. Exermental prognostic value and use in risk stratification. Circulation. 1996;93:905–14.
Schwitter J, Nanz D, Kneifel S, et al. Assessment of myocardial perfusion in coronary artery disease by magnetic resonance: a comparison with positron emission tomography and coronary angiography. Circulation. 2001;103:2230–5.
Santana CA, Garcia EV, Faber TL, et al. Diagnostic performance of fusion of myocardial perfusion imaging (MPI) and computed tomography coronary angiography. J Nucl Cardiol. 2009;16:201–11.
Gaemperli O, Schepis T, Valenta I, et al. Cardiac image fusion from stand-alone SPECT and CT: clinical experience. J Nucl Med. 2007;48:696–703.
Strauss HW, Harrison K, Langan JK, Lebowitz E, Pitt B. Thallium-201 for myocardial imaging. Relation of thallium-201 to regional myocardial perfusion. Circulation. 1975;51(4):641–5.
Berman DS, Kiat HS, Van Train KF, Germano G, Maddahi J, Friedman JD. Myocardial perfusion imaging with technetium-99m-sestamibi: comparative analysis fOR available imaging protocols. J Nucl Med. 1994;35(4):681–8.
Hung GU, Lee KW, Chen CP, Lin WY, Yang KT. Relationship of transient ischemic dilation in dipyridamole myocardial perfusion imaging and stress-induced changes of functional parameters evaluated by Tl-201 gated SPECT. J Nucl Cardiol. 2005;12(3):268–75.
Abidov A, Bax JJ, Hayes SW, et al. Transient ischemic dilation ratio of the left ventricle is a significant predictor of future cardiac events in patients with otherwise normal myocardial perfusion SPECT. J Am Coll Cardiol. 2003;42(10):1818–25.
Lima RS, Watson DD, Goode AR, et al. Incremental value of combined perfusion and function over perfusion alone by gated SPECT myocardial perfusion imaging for detection of severe three-vessel coronary artery disease. J Am Coll Cardiol. 2003;42(1):64–70.
Baer FM, Voth E, Theissen P, Schneider CA, Schicha H, Sechtem U. Coronary artery disease: findings with GRE MR imaging and Tc-99mmethoxyisobutyl- isonitrile SPECT during simultaneous dobutamine stress. Radiology. 1994;193(1):203–9.
Heijenbrok-Kal MH, Fleischmann KE, Hunink MG. Stress echocardiography, stress single-photon-emission computed tomography and electron beam computed tomography for the assessment of coronary artery disease: a metaanalysis of diagnostic performance. Am Heart J. 2007;154(3):415–23.
Boden WE, O’Rourke RA, Teo KK, et al. Optimal medical therapy with or without PCI for stable coronary disease. N Engl J Med. 2007;356(15):1503–16.
Greenwood JP, Maredia N, Younger JF, et al. Cardiovascular magnetic resonance and single-photon emission computed tomography for diagnosis of coronary heart disease (CE-MARC). A prospective trial. Lancet. 2012;379(9814):453–60.
Hundley WG, Hamilton CA, Thomas MS, et al. Utility of fast cine magnetic resonance imaging and display for the detection of myocardial ischemia in patients not well suited for second harmonic stress echocardiography. Circulation. 1999;100(16):1697–702.
Al-Saadi N, Nagel E, Gross M, et al. Noninvasive detection of myocardial ischemia from perfusion reserve based on cardiovascular magnetic resonance. Circulation. 2000;101(12):1379–83.
Manning WJ, Atkinson DJ, Grossman W, Paulin S, Edelman RR. First-pass nuclear magnetic resonance imaging studies using gadolinium-DTPA in patients with coronary artery disease. J Am Coll Cardiol. 1991;18(4):959–65.
Wilke N, Jerosch-Herold M, Wang Y, et al. Myocardial perfusion reserve: assessment with multisection, quantitative, first-pass MR imaging. Radiology. 1997;204(2):373–84.
Nagel E, Lehmkuhl HB, Bocksch W, et al. Noninvasive diagnosis of ischemia induced wall motion abnormalities with the use of high-dose dobutamine stress MRI: comparison with dobutamine stress echocardiography. Circulation. 1999;99(6):763–70.
Merkle N, Wohrle J, Grebe O, et al. Assessment of myocardial perfusion for detection of coronary artery stenoses by steady-state, free-precession magnetic resonance first-pass imaging. Heart. 2007;93(11):1381–5.
Dawson D, Rinkevich D, Belcik T, et al. Measurement of myocardial blood flow velocity reserve with myocardial contrast echocardiography in patients with suspected coronary artery disease: comparison with quantitative gated Technetium 99m sestamibi single photon emission computed tomography. J Am Soc Echocardiogr. 2003;16(11):1171–7.
Armstrong WF, Zoghbi WA. Stress echocardiography: current methodology and clinical applications. J Am Coll Cardiol. 2005;45(11):1739–47.
Di Carli MF, Dorbala S, Curillova Z, et al. Relationship between CT 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.
Dorbala S, Hachamovitch R, Curillova Z, et al. Incremental prognostic value of gated Rb-82 positron emission tomography myocardial perfusion imaging over clinical variables and rest LVEF. JACC Cardiovasc Imaging. 2009;2(7):846–54.
George RT, Silva C, Cordeiro MA, et al. Multidetector computed tomography myocardial perfusion imaging during adenosine stress. J Am Coll Cardiol. 2006;48:153–60.
George RT, Jerosch-Herold M, Silva C, et al. Quantification of myocardial perfusion using dynamic 64-detector computed tomography. Invest Radiol. 2007;42:815–22.
Kurata A, Mochizuki T, Koyama 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.
Blankstein R, Shturman LD, Rogers IS, et al. Adenosine-induced stress myocardial perfusion imaging using dual-source cardiac computed tomography. J Am Coll Cardiol. 2009;54:1072–84.
Rocha-Filho JA, Blankstein R, Shturman LD, et al. Incremental value of adenosine-induced stress myocardial perfusion imaging with dual-source CT at cardiac CT angiography. Radiology. 2010;254:410–9.
Cury RC, Magalhaes TA, Borges AC, 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;106:310–5.
Okada DR, Ghoshhajra BB, Blankstein R, et al. Direct comparison of rest and adenosine stress myocardial perfusion CT with rest and stress SPECT. J Nucl Cardiol. 2009;17:27–37.
Cury RC, Kitt TM, Feaheny K, Akin J, George RT. Regadenoson-stress myocardial CT perfusion and single-photon emission CT: rationale, design, and acquisition methods of a prospective, multicenter, multivendor comparison. Cardiovasc Comput Tomogr. 2014;8(1):2–12. doi:10.1016/j.jcct.2013.09.004.
George RT, Mehra VC, Chen MY, et al. Myocardial CT perfusion imaging and SPECT for the diagnosis of coronary artery disease: a head-to-head comparison from the CORE320 multicenter diagnostic performance study. Radiology. 2015;274(2):626.
Carrascosa P, Rodriguez-Granillo GA, Capuñay C, et al. Low-dose CT coronary angiography using iterative reconstruction with a 256-slice CT scanner. World J Cardiol. 2013;5(10):382–6. doi:10.4330/wjc.v5.i10.382.
Wei-Hua Yin, Bin Lu, Nan Li, et al. Iterative reconstruction to preserve image quality and diagnostic accuracy at reduced radiation dose in coronary CT angiography: an intraindividual comparison. JACC Cardiovasc Imaging. 2013;6(12):1239–49.
Ko SM, Choi JW, Song MG, 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.
Weininger M, Schoepf UJ, Ramachandra A, et al. Adenosine-stress dynamic real-time myocardial perfusion and adenosine-stress first-pass dual-energy myocardial perfusion CT for the assessment of acute chest pain: initial results. Eur J Radiol. 2012;81(12):3703–10.
Rodríguez-Granillo GA, Rosales MA, Degrossi E, et al. Signal density of left ventricular myocardial segments and impact of beam hardening artifact: implications for myocardial perfusion assessment by multidetector CT coronary angiography. Int J Cardiovasc Imaging. 2010;26(3):345–54.
So A, Hsieh J, Li JY, Lee TY. Beam hardening correction in CT myocardial perfusion measurement. Phys Med Biol. 2009;54(10):3031–50.
Kitagawa K, George RT, Arbab-Zadeh A, et al. Characterization and correction of beam-hardening artifacts during dynamic volume CT assessment of myocardial perfusion. Radiology. 2010;256:111–8.
Arnoldi E, Lee YS, Ruzsics B, et al. Ct detection of myocardial blood volumen déficits: dual-energy CT compared with single energy Ct spectra. J Cardiovasc Comput Tomogr. 2011;5(6):421–9.
Weininger M, Schoepf J, Ramachandra A, 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.
Ruzsics B, Schwarz F, Schoepf UJ, 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.
Ruzsics B, Lee H, Zwerner PL et al. Dual-energy CT of the heart for diagnosing coronary artery stenosis and myocardial ischemia-initial experience. Eur Radiol. 2008;18(11):2414–24.
So A, Lee T-Y, Imai Y, et al. Quantitative myocardial perfusion imaging using rapid kVp switch dual-energy CT: preliminary experience. J Cardiovasc Comput Tomogr. 2011;5:430–42.
So A, Lee TY. Quantitative myocardial CT perfusion: a pictorial review and the current state of technology development. J Cardiovasc Comput Tomogr. 2011;5(6):467–81.
So A, Hsieh JH, Naarayanan S, et al. Dual energy CT and its potential use for quantitative myocardial CT perfusion. J Cardiovasc Comput Tomogr. 2012;6:308–17.
Schwarz F, Ruzsics B, Schoepf UJ, et al. Dual-energy CT of the heart – principles and protocols. Eur J Radiol. 2008;68(3):423–33.
Matsumoto K, Jinzaki M, Tanami Y, Ueno A, Yamada M, Kuribayashi S. Virtual monochromatic spectral imaging with fast kilovoltage switching: improved image quality as compared with that obtained with conventional 120-kVp CT. Radiology. 2011;259(1):257–62.
Yu L, Primak AN, Liu X, McCollough CH. Image quality optimization and evaluation of linearly mixed images in dual-source, dual-energy CT. Med Phys. 2009;36:1019–24.
Johnson TR, Krauss B, Sedlmair M, et al. Material differentiation by dual energy CT: initial experience. Eur Radiol. 2007;17(6):1510–7.
Vliegenthart P, Pelegrini GJ, Ebersberger U, et al. Dual energy CT of the heart. AJR. 2012;199(suppl5):s54–63.
Kang DK, Schoepf UJ, Bastarrika G, et al. Dual-energy computed tomography for integrative imaging of coronary artery disease: principles and clinical applications. Semin Ultrasound CT MR. 2010;31:276–91.
Rodriguez Granillo G, Carrascosa P, Ciprinao S, et al. Beam hardening artifact reduction using dual energy computed tomography: implications for myocardial perfusion studies. Cardiovasc Diagn Ther. 2015;5(1):79–85.
Wang R, Yu W, Wang Y, 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.
Meyer M, Nance Jr JW, Schoepf UJ, et al. Cost-effectiveness of substituting dual-energy CT for SPECT in the assessment of myocardial perfusion for the workup of coronary artery disease. Eur J Radiol. 2012;81(12):3719–25.
Meinel F, Cecco C, Schoepf UJ, et al. First–arterial-pass dual-energy CT for assessment of myocardial blood supply: do we need rest, stress, and delayed acquisition? Comparison with SPECT. Radiology. 2014;270(3):708–16.
Ko S, Choi JW, Hwang HK, et al. 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. 2012;198:512–20.
Kido T, Watanabe K, Saeki H. Adenosine triphosphate stress dual source computed tomography to identify myocardial ischemia: comparison with invasive coronary angiography. Springer Plus. 2014;3:75.
Carrascosa P, Cury R, Deviggiano A et al. Myocardial perfusion evaluation with single versus dual energy CT: impact of beam hardening artifacts. Acad Radiol. 2015;22(5):591–9 .
Carrascosa P, Deviggiano A, Capuñay C, et al. Incremental value of myocardial perfusion over coronary angiography by spectral computed tomography in patients with intermediate to high likelihood of coronary artery disease. Eur J Radiol. 2015;84(4):637–42. doi:10.1016/j.ejrad.2014.12.013.
De Cecco C, Harris B, Schoepf U, et al. Incremental value of pharmacological stress cardiac dual-energy CT over coronary CT angiography alone for the assessment of coronary artery disease in a high-risk population. AJR. 2014;203:70–7.
Zhang L-J, Peng J, Wu S-Y, Yeh BM, Zhou C-S, Lu G-M. Dual source dual-energy computed tomography of acute myocardial infarction: correlation with histopathologic findings in a canine model. Invest Radiol. 2010;45:290–7.
Deseive S, Bauer RW, Lehmann R, et al. Dual energy computed tomography for the detection of late enhancement in reperfused chronic infarction: a comparison to magnetic resonance imaging. and histopathology in a porcine model. Invest Radiol. 2011;46:450–6.
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.
Rubinshtein R, Miller TD, Williamson EE, et al. Detection of myocardial infarction by dual-source coronary computer tomography angiography using quantitated myocardial scintigraphy as the reference standard. Heart. 2009;95:1419–22.
Henneman MM, Schuijf JD, Dibbets-Schneider P, et al. Comparison of multislice computed tomography to gated single-photon emission computed tomography for imaging of healed myocardial infarcts. Am J Cardiol. 2008;101:144–8.
Kerl JM, Deseive S, Tandi C, et al. Dual energy CT for the assessment of reperfused chronic infarction: a feasibility study in a porcine model. Acta Radiol. 2011;52:834–9.
Bauer R, Kerl J, Fischer N, et al. Dual Energy CT for te assessment of chronic myocardial infarction in patients with Chronic coronary artery disease: comparison with 3T MRI. AJR. 2010;195:639–46.
Truong QA, Knaapen P, Pontone G 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): a multicenter international efficacy diagnostic study of rest-stress dual-energy computed tomography angiography with perfusion. J Nucl Cardiol. 2014 Dec 31. [Epub ahead of print].
Mettler Jr FA, Huda W, Yoshizumi TT, Mahesh M. Effective doses in radiology and diagnostic nuclear medicine: a catalog. Radiology. 2008;248(1):254–63.
Henzler T, Fink C, Schoenberg S. Dual-energy CT: radiation dose aspects. AJR. 2012;199:S16–25.
Shuman W, Branch K, May J, et al. Prospective versus retrospective ECG gating for 64-detector CT of the coronary arteries: 437 comparison of image quality and patient radiation dose1. Radiology. 2008;248:431.
Christner J, Kofler J, McCollough C. Estimating effective dose for ct using dose–length product compared with using organ doses: consequences of adopting international commission on radiological protection publication 103 or dual-energy scanning. AJR. 2010;194:881–9.
Schenzle JC, Sommer WH, Neumaier K, et al. Dual energy CT of the chest: how about the dose? Invest Radiol. 2010;45:347–53.
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Carrascosa, P.M., Cury, R.C. (2015). Myocardial Perfusion by Dual Energy CT. In: Carrascosa, P., Cury, R., García, M., Leipsic, J. (eds) Dual-Energy CT in Cardiovascular Imaging. Springer, Cham. https://doi.org/10.1007/978-3-319-21227-2_12
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