Cardiac perfusion by positron emission tomography.

chronic coronary syndromes coronary artery disease myocardial blood flow myocardial perfusion imaging positron emission tomography

Journal

Clinical physiology and functional imaging
ISSN: 1475-097X
Titre abrégé: Clin Physiol Funct Imaging
Pays: England
ID NLM: 101137604

Informations de publication

Date de publication:
Sep 2021
Historique:
received: 18 01 2021
accepted: 05 05 2021
pubmed: 11 5 2021
medline: 26 10 2021
entrez: 10 5 2021
Statut: ppublish

Résumé

Myocardial perfusion imaging (MPI) with positron emission tomography (PET) is an established tool for evaluation of obstructive coronary artery disease (CAD). The contemporary 3-dimensional scanner technology and the state-of-the-art MPI radionuclide tracers and pharmacological stress agents, as well as the cutting-edge image reconstruction techniques and data analysis software, have all enabled accurate, reliable and reproducible quantification of absolute myocardial blood flow (MBF), and henceforth calculation of myocardial flow reserve (MFR) in several clinical scenarios. In patients with suspected coronary artery disease, both absolute stress MBF and MFR can identify myocardial territories subtended by epicardial coronary arteries with haemodynamically significant stenosis, as defined by invasive coronary fractional flow reserve measurement. In particular, absolute stress MBF and MFR offered incremental prognostic information for predicting adverse cardiac outcome, and hence for better patient risk stratification, over those provided by traditional clinical risk predictors. This article reviews the available evidence to support the translation of the current techniques and technologies into a useful decision-making tool in real-world clinical practice.

Identifiants

pubmed: 33969615
doi: 10.1111/cpf.12708
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

385-400

Subventions

Organisme : Turun Yliopistollinen Keskussairaala
Organisme : Academy of Finland
Organisme : Finnish Foundation for Cardiovascular Research
Organisme : Hospital District of Southwest Finland

Informations de copyright

© 2021 The Authors. Clinical Physiology and Functional Imaging published by John Wiley & Sons Ltd on behalf of Scandinavian Society of Clinical Physiology and Nuclear Medicine.

Références

Al-Mallah, M.H., Sitek, A., Moore, S.C., Di Carli, M. & Dorbala, S. (2010) Assessment of myocardial perfusion and function with PET and PET/CT. Journal of Nuclear Cardiology, 17, 498-513.
Anagnostopoulos, C., Almonacid, A., El Fakhri, G., Curillova, Z., Sitek, A. & Roughton, M. (2008) Quantitative relationship between coronary vasodilator reserve assessed by 82-Rb PET imaging and coronary artery stenosis severity. European Journal of Nuclear Medicine and Molecular Imaging, 35, 1593-1601.
Andrikopoulou, E., Morgan, C.J., Brice, L., Bajaj, N.S., Doppalapudi, H., Iskandrian, A.E. et al. (2019) Incidence of atrioventricular block with vasodilator stress SPECT: a meta-analysis. Journal of Nuclear Cardiology, 26, 616-628.
Bartunek, J., Wijns, W., Heyndrickx, G.R. & de Bruyne, B. (1999) Effects of dobutamine on coronary stenosis physiology and morphology: comparison with intracoronary adenosine. Circulation, 100, 243-249.
Benz, D.C., Ferro, P., Safa, N., Messerli, M., von Felten, E., Huang, W. et al. (2021) Role of quantitative myocardial blood flow and (13)N-ammonia washout for viability assessment in ischemic cardiomyopathy. Journal of Nuclear Cardiology, 28, 263-273.
Benz, D.C., Kaufmann, P.A., von Felten, E., Benetos, G., Rampidis, G., Messerli, M. et al. (2021) Prognostic value of quantitative metrics from positron emission tomography in ischemic heart failure. JACC: Cardiovascular Imaging, 14, 454-464.
Berman, D.S., Kang, X., Slomka, P.J., Gerlach, J., de Yang, L., Hayes, S.W. et al. (2007) Underestimation of extent of ischemia by gated SPECT myocardial perfusion imaging in patients with left main coronary artery disease. Journal of Nuclear Cardiology, 14, 521-528.
Berman, D.S., Maddahi, J., Tamarappoo, B.K., Czernin, J., Taillefer, R., Udelson, J.E. et al. (2013) Phase II safety and clinical comparison with single-photon emission computed tomography myocardial perfusion imaging for detection of coronary artery disease: flurpiridaz F 18 positron emission tomography. Journal of the American College of Cardiology, 61, 469-477.
Bom, M.J., van Diemen, P.A., Driessen, R.S., Everaars, H., Schumacher, S.P., Wijmenga, J.T. et al. (2020) Prognostic value of [15O]H2O positron emission tomography-derived global and regional myocardial perfusion. European Heart Journal of Cardiovascular Imaging, 21, 777-786.
Bravo, P.E., Bergmark, B.A., Vita, T., Taqueti, V.R., Gupta, A., Seidelmann, S. et al. (2018) Diagnostic and prognostic value of myocardial blood flow quantification as non-invasive indicator of cardiac allograft vasculopathy. European Heart Journal, 39, 316-323.
Brown, B.G., Josephson, M.A., Petersen, R.B., Pierce, C.D., Wong, M., Hecht, H.S. et al. (1981) Intravenous dipyridamole combined with isometric handgrip for near maximal acute increase in coronary flow in patients with coronary artery disease. American Journal of Cardiology, 48, 1077-1085.
Cecchi, F., Olivotto, I., Gistri, R., Lorenzoni, R., Chiriatti, G. & Camici, P.G. (2003) Coronary microvascular dysfunction and prognosis in hypertrophic cardiomyopathy. New England Journal of Medicine, 349, 1027-1035.
Chen, K., Miller, E.J. & Sadeghi, M.M. (2019) PET-based imaging of ischemic heart disease. PET Clinics, 14, 211-221.
Chih, S., Chong, A.Y., Erthal, F., deKemp, R.A., Davies, R.A., Stadnick, E. et al. (2018) PET Assessment of epicardial intimal disease and microvascular dysfunction in cardiac allograft vasculopathy. Journal of the American College of Cardiology, 71, 1444-1456.
Chow, B.J., Beanlands, R.S., Lee, A., DaSilva, J.N., deKemp, R.A., Alkahtani, A. et al. (2006) Treadmill exercise produces larger perfusion defects than dipyridamole stress N-13 ammonia positron emission tomography. Journal of the American College of Cardiology, 47, 411-416.
Czernin, J., Auerbach, M., Sun, K.T., Phelps, M. & Schelbert, H.R. (1995) Effects of modified pharmacologic stress approaches on hyperemic myocardial blood flow. Journal of Nuclear Medicine, 36, 575-580.
Danad, I., Raijmakers, P.G., Appelman, Y.E., Harms, H.J., de Haan, S., van den Oever, M.L. et al. (2013) Hybrid imaging using quantitative H215O PET and CT-based coronary angiography for the detection of coronary artery disease. Journal of Nuclear Medicine, 54, 55-63.
Danad, I., Raijmakers, P.G., Driessen, R.S., Leipsic, J., Raju, R., Naoum, C. et al. (2017) Comparison of coronary CT angiography, SPECT, PET, and hybrid imaging for diagnosis of ischemic heart disease determined by fractional flow reserve. JAMA Cardiology, 2, 1100-1107.
Danad, I., Uusitalo, V., Kero, T., Saraste, A., Raijmakers, P.G., Lammertsma, A.A. et al. (2014) Quantitative assessment of myocardial perfusion in the detection of significant coronary artery disease: cutoff values and diagnostic accuracy of quantitative [15O]H2O PET imaging. Journal of the American College of Cardiology, 64, 1464-1475.
De Grado, T.R., Hanson, M., Turkington, T., Delong, D., Brezinski, D. & Vallee, J. (1996) Estimation of myocardial blood flow for longitudinal studies with 13N-labeled ammonia and positron emission tomography. Journal of Nuclear Cardiology, 3, 494-507.
Dekemp, R.A., Declerck, J., Klein, R., Pan, X.B., Nakazato, R., Tonge, C. et al. (2013) Multisoftware reproducibility study of stress and rest myocardial blood flow assessed with 3D dynamic PET/CT and a 1-tissue-compartment model of 82Rb kinetics. Journal of Nuclear Medicine, 54, 571-577.
Di Carli, M., Czernin, J., Hoh, C.K., Gerbaudo, V.H., Brunken, R.C., Huang, S.C. et al. (1995) Relation among stenosis severity, myocardial blood flow, and flow reserve in patients with coronary artery disease. Circulation, 91, 1944-1951.
Dorbala, S., Di Carli, M.F., Beanlands, R.S., Merhige, M.E., Williams, B.A., Veledar, E. et al. (2013) Prognostic value of stress myocardial perfusion positron emission tomography: results from a multicenter observational registry. Journal of the American College of Cardiology, 61, 176-184.
Dorbala, S., Hachamovitch, R., Curillova, Z., Thomas, D., Vangala, D., Kwong, R.Y. et al. (2009) Incremental prognostic value of gated Rb-82 positron emission tomography myocardial perfusion imaging over clinical variables and rest LVEF. JACC: Cardiovascular Imaging, 2, 846-854.
El Fakhri, G., Kardan, A., Sitek, A., Dorbala, S., Abi-Hatem, N., Lahoud, Y. et al. (2009) Reproducibility and accuracy of quantitative myocardial blood flow assessment with (82)Rb PET: comparison with (13)Nammonia PET. Journal of Nuclear Medicine, 50, 1062-1071.
Farhad, H., Dunet, V., Bachelard, K., Allenbach, G., Kaufmann, P.A. & Prior, J.O. (2013) Added prognostic value of myocardial blood flow quantitation in rubidium-82 positron emission tomography imaging. European Heart Journal of Cardiovascular Imaging, 14, 1203-1210.
Fiechter, M., Ghadri, J.R., Gebhard, C., Fuchs, T.A., Pazhenkottil, A.P., Nkoulou, R.N. et al. (2012) Diagnostic value of 13N-ammonia myocardial perfusion PET: added value of myocardial flow reserve. Journal of Nuclear Medicine, 53, 1230-1234.
Fukushima, K., Javadi, M.S., Higuchi, T., Lautamaki, R., Merrill, J., Nekolla, S.G. & Bengel, F.M. (2011) Prediction of short-term cardiovascular events using quantification of global myocardial flow reserve in patients referred for clinical 82Rb PET perfusion imaging. Journal of Nuclear Medicine, 52, 726-732.
Gewirtz, H. (2019) Coronary circulation: pressure/flow parameters for assessment of ischemic heart disease. Journal of Nuclear Cardiology, 26, 459-470.
Gould, K.L., Johnson, N.P., Roby, A.E., Nguyen, T., Kirkeeide, R., Haynie, M. et al. (2019) Regional, artery-specific thresholds of quantitative myocardial perfusion by PET associated with reduced myocardial infarction and death after revascularization in stable coronary artery disease. Journal of Nuclear Medicine, 60, 410-417.
Gould, K.L., Kirkeeide, R.L. & Buchi, M. (1990) Coronary flow reserve as a physiologic measure of stenosis severity. Journal of the American College of Cardiology, 15, 459-474.
Gould, K.L., Pan, T., Loghin, C., Johnson, N.P., Guha, A. & Sdringola, S. (2007) Frequent diagnostic errors in cardiac PET/CT due to misregistration of CT attenuation and emission PET images: a definitive analysis of causes, consequences, and corrections. Journal of Nuclear Medicine, 48, 1112-1121.
Grönman, M., Tarkia, M., Stark, C., Vähäsilta, T., Kiviniemi, T., Lubberink, M., Halonen, P., Kuivanen, A., Saunavaara, V., Tolvanen, T., Teuho, J., Teräs, M., Savunen, T., Pietilä, M., Ylä-Herttuala, S., Roivainen, A., Knuuti, J. & Saraste, A. (2019) Assessment of myocardial viability with [15O]water PET: a validation study in experimental myocardial infarction. Journal of Nuclear Cardiology. In press.
Guehl, N.J., Normandin, M.D., Wooten, D.W., Rozen, G., Sitek, A., Ruskin, J. et al. (2017) Single-scan rest/stress imaging: validation in a porcine model with (18)F-Flurpiridaz. European Journal of Nuclear Medicine and Molecular Imaging, 44, 1538-1546.
Gupta, A., Taqueti, V.R., van de Hoef, T.P., Bajaj, N.S., Bravo, P.E., Murthy, V.L. et al. (2017) Integrated non-invasive physiological assessment of coronary circulatory function and impact on cardiovascular mortality in patients with stable coronary artery disease. Circulation, 136, 2325-2336.
Hajjiri, M.M., Leavitt, M.B., Zheng, H., Spooner, A.E., Fischman, A.J. & Gewirtz, H. (2009) Comparison of positron emission tomography measurement of adenosine-stimulated absolute myocardial blood flow versus relative myocardial tracer content for physiological assessment of coronary artery stenosis severity and location. JACC: Cardiovascular Imaging, 2, 751-758.
Harjulahti, E., Maaniitty, T., Nammas, W., Stenström, I., Biancari, F., & Bax, J.J. et al. (2021) Global and segmental absolute stress myocardial blood flow in prediction of cardiac events: 15O-water positron emission tomography study. European Journal of Nuclear Medicine and Molecular Imaging, 48, 1434-1444. https://doi.org/10.1007/s00259-020-05093-2
Harms, H.J., Knaapen, P., de Haan, S., Halbmeijer, R., Lammertsma, A.A. & Lubberink, M. (2011) Automatic generation of absolute myocardial blood flow images using [15O]H2O and a clinical PET/CT scanner. European Journal of Nuclear Medicine and Molecular Imaging, 38, 930-939.
Herzog, B.A., Husmann, L., Valenta, I., Gaemperli, O., Siegrist, P.T., Tay, F.M. et al. (2009) Long-term prognostic value of 13N-ammonia myocardial perfusion positron emission tomography added value of coronary flow reserve. Journal of the American College of Cardiology, 54, 150-156.
Higuchi, T., Nekolla, S.G., Huisman, M.M., Reder, S., Poethko, T., Yu, M. et al. (2008) A new 18F-labeled myocardial PET tracer: myocardial uptake after permanent and transient coronary occlusion in rats. Journal of Nuclear Medicine, 49, 1715-1722.
Hsiao, E., Ali, B., Blankstein, R., Skali, H., Ali, T., Bruyere, J. Jr et al. (2013) Detection of obstructive coronary artery disease using regadenoson stress and 82Rb PET/CT myocardial perfusion imaging. Journal of Nuclear Medicine, 54, 1748-1754.
Huisman, M.C., Higuchi, T., Reder, S., Nekolla, S.G., Poethko, T., Wester, H.J. et al. (2008) Initial characterization of an 18F-labeled myocardial perfusion tracer. Journal of Nuclear Medicine, 49, 630-636.
Hunter, C.R.R.N., Klein, R., Beanlands, R.S. & deKemp, R.A. (2016) Patient motion effects on the quantification of regional myocardial blood flow with dynamic PET imaging. Medical Physics, 43, 1829.
Hutchins, G.D., Schwaiger, M., Rosenspire, K.C., Krivokapich, J., Schelbert, H. & Kuhl, D.E. (1990) Noninvasive quantification of regional blood flow in the human heart using N-13 ammonia and dynamic positron emission tomographic imaging. Journal of the American College of Cardiology, 15, 1032-1042.
Iida, H., Kanno, I., Takahashi, A., Miura, S., Murakami, M., Takahashi, K. et al. (1988) Measurement of absolute myocardial blood flow with H2 15O and dynamic positron-emission tomography. Strategy for quantification in relation to the partial-volume effect. Circulation, 78, 104-115.
Jaarsma, C., Leiner, T., Bekkers, S.C., Crijns, H.J., Wildberger, J.E., Nagel, E. et al. (2012) Diagnostic performance of noninvasive myocardial perfusion imaging using single-photon emission computed tomography, cardiac magnetic resonance, and positron emission tomography imaging for the detection of obstructive coronary artery disease: a meta-analysis. Journal of the American College of Cardiology, 59, 1719-1728.
Johnson, N.P. & Gould, K.L. (2011) Physiological basis for angina and ST-segment change: PET-verified thresholds of quantitative stress myocardial perfusion and coronary flow reserve. JACC: Cardiovascular Imaging, 4, 990-998.
Johnson, N.P. & Gould, K.L. (2015) Regadenoson versus dipyridamole hyperemia for cardiac PET imaging. JACC: Cardiovascular Imaging, 8, 438-447.
Joutsiniemi, E., Saraste, A., Pietilä, M., Mäki, M., Kajander, S., Ukkonen, H. et al. (2014) Absolute flow or myocardial flow reserve for the detection of significant coronary artery disease? European Heart Journal of Cardiovascular Imaging, 15, 659-665.
Juárez-Orozco, L.E., Tio, R.A., Alexanderson, E., Dweck, M., Vliegenthart, R., El Moumni, M. et al. (2018) Quantitative myocardial perfusion evaluation with positron emission tomography and the risk of cardiovascular events in patients with coronary artery disease: a systematic review of prognostic studies. European Heart Journal of Cardiovascular Imaging, 19, 1179-1187.
Kajander, S., Joutsiniemi, E., Saraste, M., Pietilä, M., Ukkonen, H., Saraste, A. et al. (2010) Cardiac positron emission tomography/computed tomography imaging accurately detects anatomically and functionally significant coronary artery disease. Circulation, 122, 603-613.
Kajander, S.A., Joutsiniemi, E., Saraste, M., Pietilä, M., Ukkonen, H., Saraste, A. et al. (2011) Clinical value of absolute quantification of myocardial perfusion with (15)O-water in coronary artery disease. Circulation: Cardiovascular Imaging, 4, 678-684.
Keiding, S., Sørensen, M., Munk, O.L. & Bender, D. (2010) Human 13N-ammonia PET studies: the importance of measuring 13N-ammonia metabolites in blood. Metabolic Brain Disease, 25, 49-56.
Klein, R., Ocneanu, A., Renaud, J.M., Ziadi, M.C., Beanlands, R.S.B. & deKemp, R.A. (2018) Consistent tracer administration profile improves test-retest repeatability of myocardial blood flow quantification with 82Rb dynamic PET imaging. Journal of Nuclear Cardiology, 25, 929-941.
Knuuti, J., Ballo, H., Juarez-Orozco, L.E., Saraste, A., Kolh, P., Rutjes, A.W.S. et al. (2018) The performance of non-invasive tests to rule-in and rule-out significant coronary artery stenosis in patients with stable angina: a meta-analysis focused on post-test disease probability. European Heart Journal, 39, 3322-3330.
Knuuti, J. & Saraste, A. (2012) Advances in clinical application of quantitative myocardial perfusion imaging. Journal of Nuclear Cardiology, 19, 643-646.
Knuuti, J., Wijns, W., Saraste, A., Capodanno, D., Barbato, E., Funck-Brentano, C. et al. (2020) 2019 ESC Guidelines for the diagnosis and management of chronic coronary syndromes. European Heart Journal, 41, 407-477.
Krivokapich, J., Huang, S.C., Phelps, M.E., MacDonald, N.S. & Shine, K.I. (1982) Dependence of 13NH3 myocardial extraction and clearance on flow and metabolism. American Journal of Physiology, 242, H536-H542.
Krivokapich, J., Smith, G.T., Huang, S.C., Hoffman, E.J., Ratib, O., Phelps, M.E. et al. (1989) 13N ammonia myocardial imaging at rest and with exercise in normal volunteers. Quantification of absolute myocardial perfusion with dynamic positron emission tomography. Circulation, 80, 1328-1337.
Lapeyre, A.C., Goraya, T.Y., Johnston, D.L. & Gibbons, R.J. (2004) The impact of caffeine on vasodilator stress perfusion studies. Journal of Nuclear Cardiology, 11, 506-511.
Lautamäki, R., George, R.T., Kitagawa, K., Higuchi, T., Merrill, J., Voicu, C. et al. (2009) Rubidium-82 PET-CT for quantitative assessment of myocardial blood flow: Validation in a canine model of coronary artery stenosis. European Journal of Nuclear Medicine and Molecular Imaging, 36, 576-586.
Lee, J.M., Kim, C.H., Koo, B.-K., Hwang, D., Park, J., Zhang, J. et al. (2016) Integrated myocardial perfusion imaging diagnostics improve detection of functionally significant coronary artery stenosis by 13Nammonia positron emission tomography. Circulation: Cardiovascular Imaging, 9, e004768.
Ling, L.F., Marwick, T.H., Flores, D.R., Jaber, W.A., Brunken, R.C., Cerqueira, M.D. et al. (2013) Identification of therapeutic benefit from revascularization in patients with left ventricular systolic dysfunction: inducible ischemia versus hibernating myocardium. Circulation: Cardiovascular Imaging, 6, 363-372.
Lortie, M., Beanlands, R.S., Yoshinaga, K., Klein, R., Dasilva, J.N. & DeKemp, R.A. (2007) Quantification of myocardial blood flow with 82-Rb dynamic PET imaging. European Journal of Nuclear Medicine and Molecular Imaging, 34, 1765-1774.
Maaniitty, T., Stenström, I., Bax, J.J., Uusitalo, V., Ukkonen, H., Kajander, S. et al. (2017) Prognostic value of coronary CT angiography with selective PET perfusion imaging in coronary artery disease. JACC: Cardiovascular Imaging, 10, 1361-1370.
Maddahi, J., Bengel, F., Czernin, J., Crane, P., Dahlbom, M., Schelbert, H. et al. (2019) Dosimetry, biodistribution, and safety of flurpiridaz F 18 in healthy subjects undergoing rest and exercise or pharmacological stress PET myocardial perfusion imaging. Journal of Nuclear Cardiology, 26, 2018-2030.
Maddahi, J., Bengel, F., Huang, S.C., Czernin, J., Schelbert, H., Zhu, Q. et al. (2009) Phase 1 rest-stress study of F-18 labeled BMS747158 myocardial perfusion PET tracer: human safety, dosimetry, biodistribution, and myocardial imaging characteristics. Journal of Nuclear Medicine, 50, 184. abstract.
Maddahi, J., Czernin, J., Lazewatsky, J., Huang, S.C., Dahlbom, M., Schelbert, H. et al. (2011) Phase I, first-in-human study of BMS747158, a novel 18F-labeled tracer for myocardial perfusion PET: dosimetry, biodistribution, safety, and imaging characteristics after a single injection at rest. Journal of Nuclear Medicine, 52, 1490-1498.
Maddahi, J., Lazewatsky, J., Udelson, J.E., Berman, D.S., Beanlands, R.S.B., Heller, G.V. et al. (2020) Phase-III clinical trial of fluorine-18 flurpiridaz positron emission tomography for evaluation of coronary artery disease. Journal of the American College of Cardiology, 76, 391-401.
Maddahi, J. & Packard, R.R. (2014) Cardiac PET perfusion tracers: current status and future directions. Seminars in Nuclear Medicine, 44, 333-343.
Madsen, S., Dias, A.H., Lauritsen, K.M., Bouchelouche, K., Tolbod, L.P. & Gormsen, L.C. (2020) Myocardial viability testing by positron emission tomography: basic concepts, mini-review of the literature and experience from a tertiary PET center. Seminars in Nuclear Medicine, 50, 248-259.
Majmudar, M.D., Murthy, V.L., Shah, R.V., Kolli, S., Mousavi, N., Foster, C.R. et al. (2015) Quantification of coronary flow reserve in patients with ischaemic and non-ischaemic cardiomyopathy and its association with clinical outcomes. European Heart Journal of Cardiovascular Imaging, 16, 900-909.
Mc Ardle, B.A., Dowsley, T.F., deKemp, R.A., Wells, G.A. & Beanlands, R.S. (2012) Does rubidium-82 pet have superior accuracy to spect perfusion imaging for the diagnosis of obstructive coronary disease?: a systematic review and meta-analysis. Journal of the American College of Cardiology, 60, 1828-1837.
McGinn, A.L., White, C.W. & Wilson, R.F. (1990) Interstudy variability of coronary flow reserve: influence of heart rate, arterial blood pressure, and ventricular preload. Circulation, 81, 1319-1330.
Moody, J.B., Hiller, K.M., Lee, B.C., Poitrasson-Rivière, A., Corbett, J.R., Weinberg, R.L. et al. (2019) The utility of (82)Rb PET for myocardial viability assessment: comparison with perfusion-metabolism (82)Rb-(18)F-FDG PET. Journal of Nuclear Cardiology, 26, 374-386.
Moody, J.B., Poitrasson-Rivière, A., Hagio, T., Buckley, C., Weinberg, R.L., Corbett, J.R. et al. (2020) Added value of myocardial blood flow using 18F-flurpiridaz PET to diagnose coronary artery disease: the flurpiridaz 301 trial. Journal of Nuclear Cardiology. In press.
Morton, G., Chiribiri, A., Ishida, M., Hussain, S.T., Schuster, A., Indermuehle, A. et al. (2012) Quantification of absolute myocardial perfusion in patients with coronary artery disease: comparison between cardiovascular magnetic resonance and positron emission tomography. Journal of the American College of Cardiology, 60, 1546-1555.
Murthy, V.L., Bateman, T.M., Beanlands, R.S., Berman, D.S., Borges-Neto, S., Chareonthaitawee, P. et al. (2018) Clinical quantification of myocardial blood flow using PET: joint position paper of the SNMMI cardiovascular council and the ASNC. Journal of Nuclear Medicine, 59, 273-293.
Murthy, V.L., Lee, B.C., Sitek, A., Naya, M., Moody, J., Polavarapu, V. et al. (2014) Comparison and prognostic validation of multiple methods of quantification of myocardial blood flow with 82Rb PET. Journal of Nuclear Medicine, 55, 1952-1958.
Murthy, V.L., Naya, M., Foster, C.R., Hainer, J., Gaber, M., Di Carli, G. et al. (2011) Improved cardiac risk assessment with noninvasive measures of coronary flow reserve. Circulation, 124, 2215-2224.
Muzik, O., Beanlands, R.S., Hutchins, G.D., Mangner, T.J., Nguyen, N. & Schwaiger, M. (1993) Validation of nitrogen-13-ammonia tracer kinetic model for quantification of myocardial blood flow using PET. Journal of Nuclear Medicine, 34, 83-91.
Naya, M., Murthy, V.L., Taqueti, V.R., Foster, C.R., Klein, J., Garber, M. et al. (2014) Preserved coronary flow reserve effectively excludes high-risk coronary artery disease on angiography. Journal of Nuclear Medicine, 55, 248-255.
Neglia, D., Michelassi, C., Trivieri, M.G., Sambuceti, G., Giorgetti, A., Pratali, L. et al. (2002) Prognostic role of myocardial blood flow impairment in idiopathic left ventricular dysfunction. Circulation, 105, 186-193.
Nekolla, S.G., Reder, S., Saraste, A., Higuchi, T., Dzewas, G., Preissel, A. et al. (2009) Evaluation of the novel myocardial perfusion positron-emission tomography tracer 18F-BMS-747158-02: comparison to 13N-ammonia and validation with microspheres in a pig model. Circulation, 119, 2333-2342.
Nesterov, S.V., Deshayes, E., Sciagrà, R., Settimo, L., Declerck, J.M., Pan, X.B. et al. (2014) Quantification of myocardial blood flow in absolute terms using 82Rb PET imaging: the RUBY-10 study. JACC: Cardiovascular Imaging, 11, 1119-1127.
Packard, R.R., Huang, S.C., Dahlbom, M., Czernin, J. & Maddahi, J. (2014) Absolute quantitation of myocardial blood flow in human subjects with or without myocardial ischemia using dynamic flurpiridaz F 18 PET. Journal of Nuclear Medicine, 55, 1438-1444.
Patel, K.K., Spertus, J.A., Chan, P.S., Sperry, B.W., Al Badarin, F., Kennedy, K.F. et al. (2020) Myocardial blood flow reserve assessed by positron emission tomography myocardial perfusion imaging identifies patients with a survival benefit from early revascularization. European Heart Journal, 41, 759-768.
Pelletier-Galarneau, M., Martineau, P. & El Fakhri, G. (2019) Quantification of PET myocardial blood flow. Current Cardiology Reports, 21, 11.
Rajaram, M., Tahari, A.K., Lee, A.H., Lodge, M.A., Tsui, B., Nekolla, S. et al. (2013) Cardiac PET/CT misregistration causes significant changes in estimated myocardial blood flow. Journal of Nuclear Medicine, 54, 50-54.
Renaud, J.M., Yip, K., Guimond, J., Trottier, M., Pibarot, P., Turcotte, E. et al. (2017) Characterization of 3-dimensional PET systems for accurate quantification of myocardial blood flow. Journal of Nuclear Medicine, 58, 103-109.
Saraste, A., Kajander, S., Han, C., Nesterov, S.V. & Knuuti, J. (2012) PET: is myocardial flow quantification a clinical reality? Journal of Nuclear Cardiology, 19, 1044-1059.
Schindler, T.H., Quercioli, A., Valenta, I., Ambrosio, G., Wahl, R.L. & Dilsizian, V. (2014) Quantitative assessment of myocardial blood flow-clinical and research applications. Seminars in Nuclear Medicine, 44, 274-293.
Sherif, H.M., Nekolla, S.G., Saraste, A., Reder, S., Yu, M., Robinson, S. et al. (2011) Simplified quantification of myocardial flow reserve with flurpiridaz F 18: validation with microspheres in a pig model. Journal of Nuclear Medicine, 52, 617-624.
Sherif, H.M., Saraste, A., Weidl, E., Weber, A.W., Higuchi, T., Reder, S. et al. (2009) Evaluation of a novel (18) F-labeled positron-emission tomography perfusion tracer for the assessment of myocardial infarct size in rats. Circulation: Cardiovascular Imaging, 2, 77-84.
Slart, R.H., Agool, A., van Veldhuisen, D.J., Dierckx, R.A. & Bax, J.J. (2006) Nitrate administration increases blood flow in dysfunctional but viable myocardium, leading to improved assessment of myocardial viability: a PET study. Journal of Nuclear Medicine, 47, 1307-1311.
Slart, R.H.J.A., Zeebregts, C.J., Hillege, H.L., de Sutter, J., Dierckx, R.A.J.O., van Veldhuisen, D.J. et al. (2011) Myocardial perfusion reserve after a PET-driven revascularization procedure: a strong prognostic factor. Journal of Nuclear Medicine, 52, 873-879.
Slomka, P.J., Alexanderson, E., Jácome, R., Jiménez, M., Romero, E., Meave, A. et al. (2012) Comparison of clinical tools for measurements of regional stress and rest myocardial blood flow assessed with 13N-ammonia PET/CT. Journal of Nuclear Medicine, 53, 171-181.
Tadamura, E., Iida, H., Matsumoto, K., Mamede, M., Kubo, S., Toyoda, H. et al. (2001) Comparison of myocardial blood flow during dobutamine-atropine infusion with that after dipyridamole administration in normal men. Journal of the American College of Cardiology, 37, 130-136.
Tahari, A.K., Lee, A., Rajaram, M., Fukushima, K., Lodge, M.A., Lee, B.C. et al. (2014) Absolute myocardial flow quantification with 82Rb PET/CT: comparison of different software packages and methods. European Journal of Nuclear Medicine and Molecular Imaging, 41, 126-135.
Takx, R.A., Blomberg, B.A., El Aidi, H., Habets, J., de Jong, P.A., Nagel, E. et al. (2015) Diagnostic accuracy of stress myocardial perfusion imaging compared to invasive coronary angiography with fractional flow reserve meta-analysis. Circulation: Cardiovascular Imaging, 8, e002666.
Tamaki, N., Yonekura, Y., Senda, M., Kureshi, S.A., Saji, H., Kodama, S. et al. (1985) Myocardial positron computed tomography with 13N-ammonia at rest and during exercise. European Journal of Nuclear Medicine, 11, 246-251.
Taqueti, V.R., Hachamovitch, R., Murthy, V.L., Naya, M., Foster, C.R., Hainer, J. et al. (2015) Global coronary flow reserve is associated with adverse cardiovascular events independently of luminal angiographic severity and modifies the effect of early revascularization. Circulation, 131, 19-27.
Taqueti, V.R., Solomon, S.D., Shah, A.M., Desai, A.S., Groarke, J.D., Osborne, M.T. et al. (2018) Coronary microvascular dysfunction and future risk of heart failure with preserved ejection fraction. European Heart Journal, 39, 840-849.
Tio, R.A., Dabeshlim, A., Siebelink, H.-M.-J., de Sutter, J., Hillege, H.L., Zeebregts, C.J. et al. (2009) Comparison between the prognostic value of left ventricular function and myocardial perfusion reserve in patients with ischemic heart disease. Journal of Nuclear Medicine, 50, 214-219.
Yalamanchili, P., Wexler, E., Hayes, M., Yu, M., Bozek, J., Kagan, M. et al. (2007) Mechanism of uptake and retention of F-18 BMS-747158-02 in cardiomyocytes: a novel PET myocardial imaging agent. Journal of Nuclear Cardiology, 14, 782-788.
Yoshida, K., Mullani, N. & Gould, K.L. (1996) Coronary flow and flow reserve by PET simplified for clinical applications using rubidium-82 or nitrogen-13-ammonia. Journal of Nuclear Medicine, 37, 1701-1712.
Yoshinaga, K., Chow, B.J., Williams, K., Chen, L., deKemp, R.A., Garrard, L. et al. (2006) What is the prognostic value of myocardial perfusion imaging using rubidium-82 positron emission tomography? Journal of the American College of Cardiology, 48, 1029-1039.
Yu, M., Guaraldi, M.T., Mistry, M., Kagan, M., McDonald, J.L., Drew, K. et al. (2007) BMS-747158-02: a novel PET myocardial perfusion imaging agent. Journal of Nuclear Cardiology, 14, 789-798.
Ziadi, M.C., Dekemp, R.A., Williams, K.A., Guo, A., Chow, B.J., Renaud, J.M. et al. (2011) Impaired myocardial flow reserve on rubidium-82 positron emission tomography imaging predicts adverse outcomes in patients assessed for myocardial ischemia. Journal of the American College of Cardiology, 58, 740-748.
Ziadi, M.C., Dekemp, R.A., Williams, K., Guo, A., Renaud, J.M., Chow, B.J. et al. (2012) Does quantification of myocardial flow reserve using rubidium-82 positron emission tomography facilitate detection of multivessel coronary artery disease? Journal of Nuclear Cardiology, 19, 670-680.

Auteurs

Wail Nammas (W)

Heart Center, Turku University Hospital, Turku, Finland.

Teemu Maaniitty (T)

PET Centre, Turku University Hospital and University of Turku, Turku, Finland.

Juhani Knuuti (J)

PET Centre, Turku University Hospital and University of Turku, Turku, Finland.

Antti Saraste (A)

Heart Center, Turku University Hospital, Turku, Finland.
PET Centre, Turku University Hospital and University of Turku, Turku, Finland.

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