, Note-A high likelihood ratio (> 10) is a good indicator for ruling in the ischemia, whereas a low likelihood ratio (< 0.1) is a good indicator for ruling out ischemia. TN = true negative, TP = true positive, FN = false negative, FP = false positive, NPV = negative predictive value

B. De-bruyne, N. H. Pijls, and B. Kalesan, FAME 2 Trial Investigators. Fractional flow reserve-guided PCI versus medical therapy in stable coronary disease, N Engl J Med, vol.367, pp.991-1001, 2012.

B. De-bruyne, T. Baudhuin, and J. A. Melin, Coronary flow reserve calculated from pressure measurements in humans: validation with positron emission tomography, Circulation, vol.89, pp.1013-1022, 1994.

C. Tesche, D. Cecco, C. N. Albrecht, and M. H. , Coronary CT angiography-derived fractional flow reserve, Radiology, vol.285, pp.17-33, 2017.

N. P. Johnson, K. L. Gould, D. Carli, M. F. Taqueti, and V. R. , Invasive FFR and noninvasive CFR in the evaluation of ischemia: what is the future?, J Am Coll Cardiol, vol.67, pp.2772-2788, 2016.

A. Schuster, N. Zarinabad, and M. Ishida, Quantitative assessment of magnetic resonance derived myocardial perfusion measurements using advanced techniques: microsphere validation in an explanted pig heart system, J Cardiovasc Magn Reson, vol.16, p.82, 2014.

F. J. Klocke, O. P. Simonetti, and R. M. Judd, Limits of detection of regional differences in vasodilated flow in viable myocardium by first-pass magnetic resonance perfusion imaging, Circulation, vol.104, pp.2412-2416, 2001.

J. Rieber, A. Huber, and I. Erhard, Cardiac magnetic resonance perfusion imaging for the functional assessment of coronary artery disease: a comparison with coronary angiography and fractional flow reserve, Eur Heart J, vol.27, pp.1465-1471, 2006.

H. P. Kühl, M. Katoh, and C. Buhr, Comparison of magnetic resonance perfusion imaging versus invasive fractional flow reserve for assessment of the hemodynamic significance of epicardial coronary artery stenosis, Am J Cardiol, vol.99, pp.1090-1095, 2007.

S. W. Kirschbaum, T. Springeling, and A. Rossi, Comparison of adenosine magnetic resonance perfusion imaging with invasive coronary flow reserve and fractional flow reserve in patients with suspected coronary artery disease, Int J Cardiol, vol.147, pp.184-186, 2011.

T. Lockie, M. Ishida, and D. Perera, High-resolution magnetic resonance myocardial perfusion imaging at 3.0-Tesla to detect hemodynamically significant coronary stenoses as determined by fractional flow reserve, J Am Coll Cardiol, vol.57, pp.70-75, 2011.

S. T. Hussain, A. Chiribiri, and G. Morton, Perfusion cardiovascular magnetic resonance and fractional flow reserve in patients with angiographic multi-vessel coronary artery disease, J Cardiovasc Magn Reson, vol.18, p.44, 2016.

M. D. Cerqueira, N. J. Weissman, and V. Dilsizian, Standardized myocardial segmentation and nomenclature for tomographic imaging of the heart: a statement for healthcare professionals from the Cardiac Imaging Committee of the Council on Clinical Cardiology of the American Heart Association, Circulation, vol.105, pp.539-542, 2002.

G. Tarroni, C. Corsi, and P. F. Antkowiak, Myocardial perfusion: near-automated evaluation from contrast-enhanced MR images obtained at rest and during vasodilator stress, Radiology, vol.265, pp.576-583, 2012.

P. A. Tonino, B. De-bruyne, and N. H. Pijls, Fractional flow reserve versus angiography for guiding percutaneous coronary intervention, N Engl J Med, vol.360, pp.213-224, 2009.

C. Manisty, D. P. Ripley, and A. S. Herrey, Splenic switch-off: a tool to assess stress adequacy in adenosine perfusion cardiac MR imaging, Radiology, vol.276, pp.732-740, 2015.

M. Li, T. Zhou, L. F. Yang, Z. H. Peng, J. Ding et al., Diagnostic accuracy of myocardial magnetic resonance perfusion to diagnose ischemic stenosis with fractional flow reserve as reference: systematic review and meta-analysis, JACC Cardiovasc Imaging, vol.7, pp.1098-1105, 2014.

R. A. Takx, B. A. Blomberg, E. Aidi, and H. , Diagnostic accuracy of stress myocardial perfusion imaging compared to invasive coronary angiography with fractional flow reserve meta-analysis

, Circ Cardiovasc Imaging, vol.8, p.2666, 2015.

I. Danad, J. Szymonifka, J. Schulman-marcus, and J. K. Min, Static and dynamic assessment of myocardial perfusion by computed tomography, Eur Heart J Cardiovasc Imaging, vol.17, pp.836-844, 2016.

J. M. Lee, C. H. Kim, and B. K. Koo, Integrated myocardial perfusion imaging diagnostics improve detection of functionally significant coronary artery stenosis by 13 N-ammonia positron emission tomography, Circ Cardiovasc Imaging, vol.9, p.4768, 2016.

W. J. Stuijfzand, V. Uusitalo, and T. Kero, Relative flow reserve derived from quantitative perfusion imaging may not outperform stress myocardial blood flow for identification of hemodynamically significant coronary artery disease, Circ Cardiovasc Imaging, vol.8, p.2400, 2015.

T. P. Van-de-hoef, M. A. Van-lavieren, and P. Damman, Physiological basis and long-term clinical outcome of discordance between fractional flow reserve and coronary flow velocity reserve in coronary stenoses of intermediate severity, Circ Cardiovasc Interv, vol.7, pp.301-311, 2014.

S. Mobius-winkler, M. Uhlemann, and V. Adams, , p.212, 2019.

. Ghekiere, exercise: results of the Impact of Intensive Exercise Training on Coronary Collateral Circulation in Patients With Stable Coronary Artery Disease (EXCITE) Trial, Circulation, vol.133, p.1448, 2016.

K. L. Gould, Intense exercise and native collateral function in stable moderate coronary artery disease: incidental, causal, or clinically important?, Circulation, vol.133, pp.1431-1434, 2016.

A. Chiribiri, G. L. Hautvast, and T. Lockie, Assessment of coronary artery stenosis severity and location: quantitative analysis of transmural perfusion gradients by high-resolution MRI versus FFR, JACC Cardiovasc Imaging, vol.6, pp.600-609, 2013.

L. Nissen, S. Winther, and J. Westra, Diagnosing coronary artery disease after a positive coronary computed tomography angiography: the Dan-NICAD open label, parallel, head to head, randomized controlled diagnostic accuracy trial of cardiovascular magnetic resonance and myocardial perfusion scintigraphy, Eur Heart J Cardiovasc Imaging, vol.19, pp.369-377, 2018.

O. Gaemperli, N. A. Marsan, V. Delgado, and J. J. Bax, The year in cardiology 2014: imaging, Eur Heart J, vol.36, pp.206-213, 2015.

G. Vincenti, P. G. Masci, and P. Monney, Stress perfusion CMR in patients with known and suspected CAD: prognostic value and optimal ischemic threshold for revascularization, JACC Cardiovasc Imaging, vol.10, pp.526-537, 2017.

S. T. Hussain, M. Paul, and S. Plein, Design and rationale of the MR-INFORM study: stress perfusion cardiovascular magnetic resonance imaging to guide the management of patients with stable coronary artery disease, J Cardiovasc Magn Reson, vol.14, p.65, 2012.

O. R. Coelho-filho, L. F. Seabra, and F. P. Mongeon, Stress myocardial perfusion imaging by CMR provides strong prognostic value to cardiac events regardless of patient's sex, JACC Cardiovasc Imaging, vol.4, pp.850-861, 2011.

F. M. Zimmermann, A. Ferrara, and N. P. Johnson, Deferral vs. performance of percutaneous coronary intervention of functionally non-significant coronary stenosis: 15-year follow-up of the DEFER trial, Eur Heart J, vol.36, pp.3182-3188, 2015.

S. Plein and M. Motwani, Fractional flow reserve as the reference standard for myocardial perfusion studies: fool's gold?, Eur Heart J Cardiovasc Imaging, vol.14, pp.1211-1213, 2013.

J. P. Depta, J. S. Patel, and E. Novak, Outcomes of coronary stenoses deferred revascularization for borderline versus nonborderline fractional flow reserve values, Am J Cardiol, vol.113, pp.1788-1793, 2014.

K. L. Gould and N. P. Johnson, Physiologic stenosis severity, binary thinking, revascularization, and "hidden reality, Circ Cardiovasc Imaging, vol.8, p.2970, 2015.

J. Y. Park, A. Lerman, and J. Herrmann, Use of fractional flow reserve in patients with coronary artery disease: the right choice for the right outcome, Trends Cardiovasc Med, vol.27, pp.106-120, 2017.

J. G. Groothuis, A. M. Beek, and S. L. Brinckman, Combined non-invasive functional and anatomical diagnostic work-up in clinical practice: the magnetic resonance and computed tomography in suspected coronary artery disease (MARCC) study, Eur Heart J, vol.34, pp.1990-1998, 2013.