Zaret BL, Strauss HW, Martin ND, Wells HP, Flamm MD. Noninvasive regional myocardial perfusion with radioactive potassium. Study of patients at rest, with exercise and during angina pectoris. N Engl J Med. 1973;288:809-12.

Rozanski A, Gransar H, Hayes SW, Min J, Friedman JD, Thomson LE, et al. Temporal trends in the frequency of inducible myocardial ischemia during cardiac stress testing: 1991 to 2009. J Am Coll Cardiol. 2013;61:1054–65.

Article  Google Scholar 

Hendel RC, Berman DS, Di Carli MF, Heidenreich PA, Henkin RE, Pellikka PA, et al. ACCF/ASNC/ACR/AHA/ASE/SCCT/SCMR/SNM 2009 appropriate use criteria for cardiac radionuclide imaging: a report of the American College of Cardiology Foundation Appropriate Use Criteria Task Force, the American Society of Nuclear Cardiology, the American College of Radiology, the American Heart Association, the American Society of Echocardiography, the Society of Cardiovascular Computed Tomography, the Society for Cardiovascular Magnetic Resonance, and the Society of Nuclear Medicine. Circulation. 2009;119:e561-87.

Google Scholar 

Sadeghi MM. Beyond perfusion imaging. J Nucl Cardiol. 2022;29:1485–6.

Article  Google Scholar 

Patton JA, Slomka PJ, Germano G, Berman DS. Recent technologic advances in nuclear cardiology. J Nucl Cardiol. 2007;14:501–13.

Article  Google Scholar 

Dorbala S, Ananthasubramaniam K, Armstrong IS, Chareonthaitawee P, DePuey EG, Einstein AJ, et al. Single photon emission computed tomography (SPECT) myocardial perfusion imaging guidelines: instrumentation, acquisition, processing, and interpretation. J Nucl Cardiol. 2018;25:1784–846.

Article  Google Scholar 

Erlandsson K, Kacperski K, van Gramberg D, Hutton BF. Performance evaluation of D-SPECT: a novel SPECT system for nuclear cardiology. Phys Med Biol. 2009;54:2635–49.

Article  Google Scholar 

Gambhir SS, Berman DS, Ziffer J, Nagler M, Sandler M, Patton J, et al. A novel high-sensitivity rapid-acquisition single-photon cardiac imaging camera. J Nucl Med. 2009;50:635–43.

Article  Google Scholar 

Sharir T, Slomka PJ, Hayes SW, DiCarli MF, Ziffer JA, Martin WH, et al. Multicenter trial of high-speed versus conventional single-photon emission computed tomography imaging: quantitative results of myocardial perfusion and left ventricular function. J Am Coll Cardiol. 2010;55:1965–74.

Article  Google Scholar 

Nakazato R, Tamarappoo BK, Kang X, Wolak A, Kite F, Hayes SW, et al. Quantitative upright-supine high-speed SPECT myocardial perfusion imaging for detection of coronary artery disease: correlation with invasive coronary angiography. J Nucl Med. 2010;51:1724–31.

Article  Google Scholar 

Duvall WL, Slomka PJ, Gerlach JR, Sweeny JM, Baber U, Croft LB, et al. High-efficiency SPECT MPI: comparison of automated quantification, visual interpretation, and coronary angiography. J Nucl Cardiol. 2013;20:763–73.

Article  Google Scholar 

Nishiyama Y, Miyagawa M, Kawaguchi N, Nakamura M, Kido T, Kurata A, et al. Combined supine and prone myocardial perfusion single-photon emission computed tomography with a cadmium zinc telluride camera for detection of coronary artery disease. Circ J. 2014;78:1169–75.

Article  Google Scholar 

Duvall WL, Croft LB, Ginsberg ES, Einstein AJ, Guma KA, George T, et al. Reduced isotope dose and imaging time with a high-efficiency CZT SPECT camera. J Nucl Cardiol. 2011;18:847–57.

Article  Google Scholar 

Duvall WL, Sweeny JM, Croft LB, Ginsberg E, Guma KA, Henzlova MJ. Reduced stress dose with rapid acquisition CZT SPECT MPI in a non-obese clinical population: comparison to coronary angiography. J Nucl Cardiol. 2012;19:19–27.

Article  Google Scholar 

Tissot H, Roch V, Morel O, Veran N, Perrin M, Claudin M, et al. Left ventricular ejection fraction determined with the simulation of a very low-dose CZT-SPECT protocol and an additional count-calibration on planar radionuclide angiographic data. J Nucl Cardiol. 2019;26:1539–49.

Article  Google Scholar 

Johnson RD, Bath NK, Rinker J, Fong S, St James S, Pampaloni MH, et al. Introduction to the D-SPECT for technologists: workflow using a dedicated digital cardiac camera. J Nucl Med Technol. 2020;48:297–303.

Article  Google Scholar 

Sharir T, Ben-Haim S, Merzon K, Prochorov V, Dickman D, Ben-Haim S, et al. High-speed myocardial perfusion imaging initial clinical comparison with conventional dual detector anger camera imaging. JACC Cardiovasc Imaging. 2008;1:156–63.

Article  Google Scholar 

Imbert L, Poussier S, Franken PR, Songy B, Verger A, Morel O, et al. Compared performance of high-sensitivity cameras dedicated to myocardial perfusion SPECT: a comprehensive analysis of phantom and human images. J Nucl Med. 2012;53:1897–903.

Article  Google Scholar 

Miyagawa M, Nishiyama Y, Uetani T, Ogimoto A, Ikeda S, Ishimura H, et al. Estimation of myocardial flow reserve utilizing an ultrafast cardiac SPECT: comparison with coronary angiography, fractional flow reserve, and the SYNTAX score. Int J Cardiol. 2017;244:347–53.

Article  Google Scholar 

Wells RG, Marvin B, Poirier M, Renaud J, deKemp RA, Ruddy TD. Optimization of SPECT measurement of myocardial blood flow with corrections for attenuation, motion, and blood binding compared with PET. J Nucl Med. 2017;58:2013–9.

Article  Google Scholar 

Agostini D, Roule V, Nganoa C, Roth N, Baavour R, Parienti JJ, et al. First validation of myocardial flow reserve assessed by dynamic (99m)Tc-sestamibi CZT-SPECT camera: head to head comparison with (15)O-water PET and fractional flow reserve in patients with suspected coronary artery disease. The WATERDAY study. Eur J Nucl Med Mol Imaging. 2018;45:1079-90.

Zavadovsky KV, Mochula AV, Boshchenko AA, Vrublevsky AV, Baev AE, Krylov AL, et al. Absolute myocardial blood flows derived by dynamic CZT scan vs invasive fractional flow reserve: correlation and accuracy. J Nucl Cardiol. 2021;28:249–59.

Article  Google Scholar 

de Souza ACDAH, Gonçalves BKD, Tedeschi AL, Lima RSL. Quantification of myocardial flow reserve using a gamma camera with solid-state cadmium-zinc-telluride detectors: relation to angiographic coronary artery disease. J Nucl Cardiol. 2021;28:876-84.

Koenders SS, van Dalen JA, Jager PL, Knollema S, Timmer JR, Mouden M, et al. Value of SiPM PET in myocardial perfusion imaging using rubidium-82. J Nucl Cardiol. 2022;29:204–12.

Article  Google Scholar 

Alahdab F, Al Rifai M, Ahmed AI, Al-Mallah MH. Advances in digital PET technology and its potential impact on myocardial perfusion and blood flow quantification. Curr Cardiol Rep. 2023;25:261–8.

Article  Google Scholar 

Dietz M, Kamani CH, Allenbach G, Rubimbura V, Fournier S, Dunet V, et al. Comparison of the prognostic value of impaired stress myocardial blood flow, myocardial flow reserve, and myocardial flow capacity on low-dose Rubidium-82 SiPM PET/CT. J Nucl Cardiol. 2023;30:1385–95.

Article  Google Scholar 

van Dijk JD, Jager PL, van Osch JAC, Khodaverdi M, van Dalen JA. Comparison of maximal rubidium-82 activities for myocardial blood flow quantification between digital and conventional PET systems. J Nucl Cardiol. 2019;26:1286–91.

Article  Google Scholar 

Sciagrà R, Lubberink M, Hyafil F, Saraste A, Slart RHJA, Agostini D, et al. EANM procedural guidelines for PET/CT quantitative myocardial perfusion imaging. Eur J Nucl Med Mol Imaging. 2021;48:1040–69.

Article  Google Scholar 

Slart RHJA, Tsoumpas C, Glaudemans AWJM, Noordzij W, Willemsen ATM, Borra RJH, et al. Long axial field of view PET scanners: a road map to implementation and new possibilities. Eur J Nucl Med Mol Imaging. 2021;48:4236–45.

Article  Google Scholar 

Alberts I, Sari H, Mingels C, Afshar-Oromieh A, Pyka T, Shi K, et al. Long-axial field-of-view PET/CT: perspectives and review of a revolutionary development in nuclear medicine based on clinical experience in over 7000 patients. Cancer Imaging. 2023;23:28.

Article  Google Scholar 

Vandenberghe S, Moskal P, Karp JS. State of the art in total body PET. EJNMMI Phys. 2020;7:35.

Article  Google Scholar 

Kiat H, Germano G, Friedman J, Van Train K, Silagan G, Wang FP, et al. Comparative feasibility of separate or simultaneous rest thallium-201/stress technetium-99m-sestamibi dual-isotope myocardial perfusion SPECT. J Nucl Med. 1994;35:542–8.

Google Scholar 

Berman DS, Kang X, Tamarappoo B, Wolak A, Hayes SW, Nakazato R, et al. Stress thallium-201/rest technetium-99m sequential dual isotope high-speed myocardial perfusion imaging. JACC Cardiovasc Imaging. 2009;2:273–82.

Article  Google Scholar 

Barone-Rochette G, Leclere M, Calizzano A, Vautrin E, Céline GC, Broisat A, et al. Stress thallium-201/rest technetium-99m sequential dual-isotope high-speed myocardial perfusion imaging validation versus invasive coronary angiography. J Nucl Cardiol. 2015;22:513–22.

Article  Google Scholar 

Mc Ardle BA, Dowsley TF, deKemp RA, Wells GA, Beanlands RS. Does rubidium-82 PET have superior accuracy to SPECT perfusion imaging for the diagnosis of obstructive coronary disease?: a systematic review and meta-analysis. J Am Coll Cardiol. 2012;60:1828–37.

Article  Google Scholar 

Takx RA, Blomberg BA, El Aidi H, Habets J, de Jong PA, Nagel E, et al. Diagnostic accuracy of stress myocardial perfusion imaging compared to invasive coronary angiography with fractional flow reserve meta-analysis. Circ Cardiovasc Imaging. 2015;8.

Danad I, Raijmakers PG, Driessen RS, Leipsic J, Raju R, Naoum C, et al. Comparison of coronary CT angiography, SPECT, PET, and hybrid imaging for diagnosis of ischemic heart disease determined by fractional flow reserve. JAMA Cardiol. 2017;2:1100–7.

Article  Google Scholar 

Driessen RS, Danad I, Stuijfzand WJ, Raijmakers PG, Schumacher SP, van Diemen PA, et al. Comparison of coronary computed tomography angiography, fractional flow reserve, and perfusion imaging for ischemia diagnosis. J Am Coll Cardiol. 2019;73:161–73.

Article  Google Scholar 

Di Carli MF. PET perfusion and flow assessment: tomorrows’ technology today. Semin Nucl Med. 2020;50:227–37.

Article  Google Scholar 

Werner RA, Chen X, Rowe SP, Lapa C, Javadi MS, Higuchi T. Moving into the next era of PET myocardial perfusion imaging: introduction of novel (18)F-labeled tracers. Int J Cardiovasc Imaging. 2019;35:569–77.

Article  Google Scholar 

Li Y, Zhang W, Wu H, Liu G. Advanced tracers in PET imaging of cardiovascular disease. BioMed Res Int. 2014;2014:504532.

Article  Google Scholar 

Singh SB, Ng SJ, Lau HC, Khanal K, Bhattarai S, Paudyal P, et al. Emerging PET tracers in cardiac molecular imaging. Cardiol Ther. 2023;12:85–99.

Article  Google Scholar 

Yu M, Nekolla SG, Schwaiger M, Robinson SP. The next generation of cardiac positron emission tomography imaging agents: discovery of flurpiridaz F-18 for detection of coronary disease. Semin Nucl Med. 2011;41:305–13.

Article  Google Scholar 

Sherif HM, Nekolla SG, Saraste A, Reder S, Yu M, Robinson S, et al. Simplified quantification of myocardial flow reserve with flurpiridaz F 18: validation with microspheres in a pig model. J Nucl Med. 2011;52:617–24.

Article  Google Scholar 

Huisman MC, Higuchi T, Reder S, Nekolla SG, Poethko T, Wester HJ, et al. Initial characterization of an 18F-labeled myocardial perfusion tracer. J Nucl Med. 2008;49:630–6.

Article  Google Scholar 

Calnon DA. Will (18)F flurpiridaz replace (82)rubidium as the most commonly used perfusion tracer for PET myocardial perfusion imaging? J Nucl Cardiol. 2019;26:2031–3.

Article  Google Scholar 

Moody JB, Poitrasson-Rivière A, Hagio T, Buckley C, Weinberg RL, Corbett JR, et al. Added value of myocardial blood flow using (18)F-flurpiridaz PET to diagnose coronary artery disease: the flurpiridaz 301 trial. J Nucl Cardiol. 2021;28:2313–29.

Article  Google Scholar 

Maddahi J, Lazewatsky J, Udelson JE, Berman DS, Beanlands RSB, Heller GV, et al. Phase-III clinical trial of fluorine-18 flurpiridaz positron emission tomography for evaluation of coronary artery disease. J Am Coll Cardiol. 2020;76:391–401.

Article  Google Scholar 

Packard RRS, Lazewatsky JL, Orlandi C, Maddahi J. Diagnostic performance of PET versus SPECT myocardial perfusion imaging in patients with smaller left ventricles: a substudy of the (18)F-flurpiridaz phase III clinical trial. J Nucl Med. 2021;62:849–54.

Article  Google Scholar 

Gaemperli O, Kaufmann PA, Alkadhi H. Cardiac hybrid imaging. Eur J Nucl Med Mol Imaging. 2014;41(Suppl 1):S91-103.