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imaging identifies patients with a survival benefit from early revascularization. Eur Heart J 2020;41:759–68. https://doi.org/10.1093/eurheartj/ehz389 272. van Dijk R, van Assen M, Vliegenthart R, de Bock GH, van der Harst P, Oudkerk M. Diagnostic performance of semi-quantitative and quantitative stress CMR perfusion analysis: a meta-analysis. J Cardiovasc Magn Reson 2017;19:92. https://doi.org/10. 1186/s12968-017-0393-z 273. Gargiulo P, Dellegrottaglie S, Bruzzese D, Savarese G, Scala O, Ruggiero D, et al. The prognostic value of normal stress cardiac magnetic resonance in patients with known or suspected coronary artery disease: a meta-analysis. Circ Cardiovasc Imaging 2013;6: 574–82. https://doi.org/10.1161/circimaging.113.000035 274. Iwata K, Nakagawa S, Ogasawara K. The prognostic value of normal stress cardiovascular magnetic resonance imaging. J Comput Assist Tomogr 2014;38:36–43. https://doi. org/10.1097/RCT.0b013e3182a474a0 275. Ricci F, Khanji MY, Bisaccia G, Cipriani A, Di Cesare A, Ceriello L, et al. Diagnostic and prognostic value of stress cardiovascular magnetic resonance imaging in patients with known or suspected coronary artery disease: a systematic review and meta-analysis. JAMA Cardiol 2023;8:662–73. https://doi.org/10.1001/jamacardio.2023.1290 276. Nagel E, Greenwood JP, McCann GP, Bettencourt N, Shah AM, Hussain ST, et al. Magnetic resonance perfusion or fractional flow reserve in coronary disease. N Engl J Med 2019;380:2418–28. https://doi.org/10.1056/NEJMoa1716734 277. Nagel E, Lehmkuhl HB, Bocksch W, Klein C, Vogel U, Frantz E, 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;99:763–70. https://doi.org/10.1161/01.cir.99.6.763 278. Ripley DP, Motwani M, Brown JM, Nixon J, Everett CC, Bijsterveld P, et al. Individual component analysis of the multi-parametric cardiovascular magnetic resonance protocol in the CE-MARC trial. J Cardiovasc Magn Reson 2015;17:59. https://doi.org/10.1186/ s12968-015-0169-2 279. Di Leo G, Fisci E, Secchi F, Alì M, Ambrogi F, Sconfienza LM, et al. Diagnostic accuracy of magnetic resonance angiography for detection of coronary artery disease: a systematic review and meta-analysis. Eur Radiol 2016;26:3706–18. https://doi.org/10.1007/ s00330-015-4134-0 280. Feger S, Rief M, Zimmermann E, Richter F, Roehle R, Dewey M, et al. Patient satisfaction with coronary CT angiography, myocardial CT perfusion, myocardial perfusion MRI, SPECT myocardial perfusion imaging and conventional coronary angiography. Eur Radiol 2015;25:2115–24. https://doi.org/10.1007/s00330-015-3604-8 281. Shaw LJ, Weintraub WS, Maron DJ, Hartigan PM, Hachamovitch R, Min JK, et al. Baseline stress myocardial perfusion imaging results and outcomes in patients with stable ischemic heart disease randomized to optimal medical therapy with or without percutaneous coronary intervention. Am Heart J 2012;164:243–50. https://doi.org/10. 1016/j.ahj.2012.05.018 282. Dorbala S, Di Carli MF, Beanlands RS, Merhige ME, Williams BA, Veledar E, et al. Prognostic value of stress myocardial perfusion positron emission tomography: results from a multicenter observational registry. J Am Coll Cardiol 2013;61:176–84. https://doi. org/10.1016/j.jacc.2012.09.043 283. Kay J, Dorbala S, Goyal A, Fazel R, Di Carli MF, Einstein AJ, et al. Influence of sex on risk stratification with stress myocardial perfusion Rb-82 positron emission tomography: results from the PET (Positron Emission Tomography) Prognosis Multicenter Registry. J Am Coll Cardiol 2013;62:1866–76. https://doi.org/10.1016/j.jacc.2013.06.017 284. Uretsky S, Rozanski A. Long-term outcomes following a normal stress myocardial perfusion scan. J Nucl Cardiol 2013;20:715–8. https://doi.org/10.1007/s12350-013-9769-0 285. Rozanski A, Gransar H, Min JK, Hayes SW, Friedman JD, Thomson LEJ, et al. Long-term mortality following normal exercise myocardial perfusion SPECT according to coronary disease risk factors. J Nucl Cardiol 2014;21:341–50. https://doi.org/10.1007/s12350- 013-9830-z 286. Zellweger MJ, Fahrni G, Ritter M, Jeger RV, Wild D, Buser P, et al. Prognostic value of “routine” cardiac stress imaging 5 years after percutaneous coronary intervention: the prospective long-term observational BASKET (Basel Stent Kosteneffektivitats Trial) LATE IMAGING study. JACC Cardiovasc Interv 2014;7:615–21. https://doi.org/10. 1016/j.jcin.2014.01.161 287. Patel KK, Spertus JA, Arnold SV, Chan PS, Kennedy KF, Jones PG, et al. Ischemia on PET MPI may identify patients with improvement in angina and health status postrevascularization. J Am Coll Cardiol 2019;74:1734–6. https://doi.org/10.1016/j.jacc. 2019.06.074 288. Bom MJ, van Diemen PA, Driessen RS, Everaars H, Schumacher SP, Wijmenga J-T, et al. Prognostic value of [15O]H2O positron emission tomography-derived global and regional myocardial perfusion. Eur Heart J Cardiovasc Imaging 2020;21:777–86. https:// doi.org/10.1093/ehjci/jez258 289. Schepis T, Gaemperli O, Koepfli P, Namdar M, Valenta I, Scheffel H, et al. Added value of coronary artery calcium score as an adjunct to gated SPECT for the evaluation of coronary artery disease in an intermediate-risk population. J Nucl Med 2007;48: 1424–30. https://doi.org/10.2967/jnumed.107.040758 290. Schenker MP, Dorbala S, Hong EC, Rybicki FJ, Hachamovitch R, Kwong RY, et al. Interrelation of coronary calcification, myocardial ischemia, and outcomes in patients with intermediate likelihood of coronary artery disease: a combined positron emission tomography/computed tomography study. Circulation 2008;117:1693–700. https:// doi.org/10.1161/CIRCULATIONAHA.107.717512 291. Chang SM, Nabi F, Xu J, Peterson LE, Achari A, Pratt CM, et al. The coronary artery calcium score and stress myocardial perfusion imaging provide independent and complementary prediction of cardiac risk. J Am Coll Cardiol 2009;54:1872–82. https://doi. org/10.1016/j.jacc.2009.05.071 292. Ghadri JR, Pazhenkottil AP, Nkoulou RN, Goetti R, Buechel RR, Husmann L, et al. Very high coronary calcium score unmasks obstructive coronary artery disease in patients with normal SPECT MPI. Heart 2011;97:998–1003. https://doi.org/10.1136/hrt.2010. 217281 293. Brodov Y, Gransar H, Dey D, Shalev A, Germano G, Friedman JD, et al. Combined quantitative assessment of myocardial perfusion and coronary artery calcium score by hybrid 82Rb PET/CT improves detection of coronary artery disease. J Nucl Med 2015;56:1345–50. https://doi.org/10.2967/jnumed.114.153429 294. Hamon M, Fau G, Nee 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. https://doi.org/10. 1186/1532-429X-12-29 295. Jiang B, Cai W, Lv X, Liu H. Diagnostic performance and clinical utility of myocardial perfusion MRI for coronary artery disease with fractional flow reserve as the standard reference: a meta-analysis. Heart Lung Circ 2016;25:1031–8. https://doi.org/10.1016/j. hlc.2016.02.018 296. Heitner JF, Kim RJ, Kim HW, Klem I, Shah DJ, Debs D, et al. Prognostic value of vasodilator stress cardiac magnetic resonance imaging: a multicenter study with 48 000 patient-years of follow-up. JAMA Cardiol 2019;4:256–64. https://doi.org/10.1001/ jamacardio.2019.0035 297. Arai AE, Schulz-Menger J, Shah DJ, Han Y, Bandettini WP, Abraham A, et al. Stress perfusion cardiac magnetic resonance vs SPECT imaging for detection of coronary artery disease. J Am Coll Cardiol 2023;82:1828–38. https://doi.org/10.1016/j.jacc.2023.08.046 298. Ford TJ, Stanley B, Good R, Rocchiccioli P, McEntegart M, Watkins S, et al. Stratified medical therapy using invasive coronary function testing in angina: the CorMicA trial. J Am Coll Cardiol 2018;72:2841–55. https://doi.org/10.1016/j.jacc.2018.09.006 299. Mileva N, Nagumo S, Mizukami T, Sonck J, Berry C, Gallinoro E, et al. Prevalence of coronary microvascular disease and coronary vasospasm in patients with nonobstructive coronary artery disease: systematic review and meta-analysis. J Am Heart Assoc 2022;11:e023207. https://doi.org/10.1161/JAHA.121.023207 300. Brainin P, Frestad D, Prescott E. The prognostic value of coronary endothelial and microvascular dysfunction in subjects with normal or non-obstructive coronary artery disease: a systematic review and meta-analysis. Int J Cardiol 2018;254:1–9. https://doi. org/10.1016/j.ijcard.2017.10.052 301. Gdowski MA, Murthy VL, Doering M, Monroy-Gonzalez AG, Slart R, Brown DL. Association of isolated coronary microvascular dysfunction with mortality and major adverse cardiac events: a systematic review and meta-analysis of aggregate data. J Am Heart Assoc 2020;9:e014954. https://doi.org/10.1161/JAHA.119.014954 302. Hozumi T, Yoshida K, Ogata Y, Akasaka T, Asami Y, Takagi T, et al. Noninvasive assessment of significant left anterior descending coronary artery stenosis by coronary flow velocity reserve with transthoracic color Doppler echocardiography. Circulation 1998; 97:1557–62. https://doi.org/10.1161/01.CIR.97.16.1557 303. Sicari R, Rigo F, Cortigiani L, Gherardi S, Galderisi M, Picano E. Additive prognostic value of coronary flow reserve in patients with chest pain syndrome and normal or nearnormal coronary arteries. Am J Cardiol 2009;103:626–31. https://doi.org/10.1016/j. amjcard.2008.10.033 304. Taqueti VR, Everett BM, Murthy VL, Gaber M, Foster CR, Hainer J, et al. Interaction of impaired coronary flow reserve and cardiomyocyte injury on adverse cardiovascular outcomes in patients without overt coronary artery disease. Circulation 2015;131: 528–35. https://doi.org/10.1161/CIRCULATIONAHA.114.009716 305. Michelsen MM, Mygind ND, Pena A, Olsen RH, Christensen TE, Ghotbi AA, et al. Transthoracic Doppler echocardiography compared with positron emission tomography for assessment of coronary microvascular dysfunction: the iPOWER study. Int J Cardiol 2017;228:435–43. https://doi.org/10.1016/j.ijcard.2016.11.004 306. Cortigiani L, Ciampi Q, Lombardo A, Rigo F, Bovenzi F, Picano E, et al. Age- and gender-specific prognostic cutoff values of coronary flow velocity reserve in vasodilator stress echocardiography. J Am Soc Echocardiogr 2019;32:1307–17. https://doi.org/ 10.1016/j.echo.2019.05.020 307. Everaars H, de Waard GA, Driessen RS, Danad I, van de Ven PM, Raijmakers PG, et al. Doppler flow velocity and thermodilution to assess coronary flow reserve: a head-to-head comparison with [15O]H2O PET. JACC Cardiovasc Interv 2018;11: 2044–54. https://doi.org/10.1016/j.jcin.2018.07.011 308. 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. https://doi.org/10.1056/NEJMoa0807611 309. Curzen N, Rana O, Nicholas Z, Golledge P, Zaman A, Oldroyd K, et al. Does routine pressure wire assessment influence management strategy at coronary angiography for diagnosis of chest pain? The RIPCORD study. Circ Cardiovasc Interv 2014;7:248–55. https://doi.org/10.1161/CIRCINTERVENTIONS.113.000978 Downloaded from academic.oup.com/eurheartj/article/45/36/3415/7743115 by guest on 07 October 2026