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November 30, 2021 Circulation. 2021;144:e368–e454. DOI: 10.1161/CIR.0000000000001029 e438 CLINICAL STATEMENTS AND GUIDELINES 38. Neglia D, Rovai D, Caselli C, et al. Detection of significant coronary artery disease by noninvasive anatomical and functional imaging. Circ Cardiovasc Imaging. 2015;8:e002179. 39. Danad I, Szymonifka J, Twisk JWR, et al. Diagnostic performance of cardiac imaging methods to diagnose ischaemia-causing coronary artery disease when directly compared with fractional flow reserve as a reference standard: a meta-analysis. Eur Heart J. 2017;38:991–998. 40. Shaw LJ, Mieres JH, Hendel RH, et al. Comparative effectiveness of exercise electrocardiography with or without myocardial perfusion single photon emission computed tomography in women with suspected coronary artery disease: results from the What Is the Optimal Method for Ischemia Evaluation in Women (WOMEN) trial. Circulation. 2011;124:1239–1249. 41. Mieres JH, Gulati M, Bairey Merz N, et al. Role of noninvasive testing in the clinical evaluation of women with suspected ischemic heart disease: a consensus statement from the American Heart Association. Circulation. 2014;130:350–379. 42. Mark DB, Shaw L, Harrell FE Jr, et al. Prognostic value of a treadmill exercise score in outpatients with suspected coronary artery disease. N Engl J Med. 1991;325:849–853. 43. Mark DB, Hlatky MA, Harrell FE Jr, et al. Exercise treadmill score for predicting prognosis in coronary artery disease. Ann Intern Med. 1987;106:793–800. 44. Lauer MS, Pothier CE, Magid DJ, et al. An externally validated model for predicting long-term survival after exercise treadmill testing in patients with suspected coronary artery disease and a normal electrocardiogram. Ann Intern Med. 2007;147:821–828. 45. Gulati M, Black HR, Shaw LJ, et al. The prognostic value of a nomogram for exercise capacity in women. N Engl J Med. 2005;353:468–475. 46. Ardestani A, Ahlberg AW, Katten DM, et al. Risk stratification using line source attenuation correction with rest/stress Tc-99m sestamibi SPECT myocardial perfusion imaging. J Nucl Cardiol. 2014;21:118–126. 47. van Dijk JD, Mouden M, Ottervanger JP, et al. Value of attenuation correction in stress-only myocardial perfusion imaging using CZT-SPECT. J Nucl Cardiol. 2017;24:395–401. 48. Gutstein A, Bental T, Solodky A, et al. Prognosis of stress-only SPECT myocardial perfusion imaging with prone imaging. J Nucl Cardiol. 2018;25:809–816. 49. Huang JY, Yen RF, Lee WC, et al. Improved diagnostic accuracy of thallium-201 myocardial perfusion single-photon emission computed tomography with CT attenuation correction. J Nucl Cardiol. 2019;26:1584– 1595. 50. Huang JY, Huang CK, Yen RF, et al. Diagnostic performance of attenuationcorrected myocardial perfusion imaging for coronary artery disease: a systematic review and meta-analysis. J Nucl Med. 2016;57:1893–1898. 51. Ito S, Endo A, Okada T, et al. Comparison of CTAC and prone imaging for the detection of coronary artery disease using CZT SPECT. Ann Nucl Med. 2017;31:629–635. 52. Gibbons RJ, Carryer D, Liu H, et al. Use of echocardiography in outpatients with chest pain and normal resting electrocardiograms referred to Mayo Clinic Rochester. Am Heart J. 2018;196:49–55. 53. Douglas PS, De Bruyne B, Pontone G, et al. 1-year outcomes of FFRCTguided care in patients with suspected coronary disease: the PLATFORM Study. J Am Coll Cardiol. 2016;68:435–445. 54. Fairbairn TA, Nieman K, Akasaka T, et al. Real-world clinical utility and impact on clinical decision-making of coronary computed tomography angiography-derived fractional flow reserve: lessons from the ADVANCE Registry. Eur Heart J. 2018;39:3701–3711. 55. Patel MR, Norgaard BL, Fairbairn TA, et al. 1-Year impact on medical practice and clinical outcomes of FFRCT: the ADVANCE registry. J Am Coll Cardiol Img. 2019;13:97–105. 56. Min JK, Leipsic J, Pencina MJ, et al. Diagnostic accuracy of fractional flow reserve from anatomic CT angiography. JAMA. 2012;308:1237–1245. 57. Norgaard BL, Leipsic J, Gaur S, et al. Diagnostic performance of noninvasive fractional flow reserve derived from coronary computed tomography angiography in suspected coronary artery disease: the NXT trial (Analysis of Coronary Blood Flow Using CT Angiography: Next Steps) J Am Coll Cardiol. 2014;63:1145–1155. 58. Andreini D, Modolo R, Katagiri Y, et al. Impact of fractional flow reserve derived from coronary computed tomography angiography on heart team treatment decision-making in patients with multivessel coronary artery disease: insights from the SYNTAX III REVOLUTION Trial. Circ Cardiovasc Interv. 2019;12:e007607. 59. Abidov A, Gallagher MJ, Chinnaiyan KM, et al. Clinical effectiveness of coronary computed tomographic angiography in the triage of pa- tients to cardiac catheterization and revascularization after inconclusive stress testing: results of a 2-year prospective trial. J Nucl Cardiol. 2009;16:701–713. 60. Christman MP, Bittencourt MS, Hulten E, et al. Yield of downstream tests after exercise treadmill testing: a prospective cohort study. J Am Coll Cardiol. 2014;63:1264–1274. 61. Shaw LJ, Hausleiter J, Achenbach S, et al. Coronary computed tomographic angiography as a gatekeeper to invasive diagnostic and surgical procedures: results from the multicenter CONFIRM (Coronary CT Angiography Evaluation for Clinical Outcomes: an International Multicenter) registry. J Am Coll Cardiol. 2012;60:2103–2114. 62. ISCHEMIA Trial Research Group, Maron DJ, Hochman JS, et al. International Study of Comparative Health Effectiveness with Medical and Invasive Approaches (ISCHEMIA) trial: rationale and design. Am Heart J. 2018;201:124–135. 63. Maron DJ, Hochman JS, Reynolds HR, et al. Initial invasive or conservative strategy for stable coronary disease. N Engl J Med. 2020;382:1395–1407. 64. Schepis T, Gaemperli O, Koepfli P, 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;48:1424–1430. 65. Chang SM, Nabi F, Xu J, 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;54:1872–1882. 66. Bavishi C, Argulian E, Chatterjee S, et al. CACS and the frequency of stressinduced myocardial ischemia during MPI: a meta-analysis. J Am Coll Cardiol Img. 2016;9:580–589. 67. Rozanski A, Gransar H, Wong ND, et al. Use of coronary calcium scanning for predicting inducible myocardial ischemia: influence of patients' clinical presentation. J Nucl Cardiol. 2007;14:669–679. 68. Brodov Y, Gransar H, Dey D, 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;56:1345–1350. 69. Ghadri JR, Pazhenkottil AP, Nkoulou RN, et al. Very high coronary calcium score unmasks obstructive coronary artery disease in patients with normal SPECT MPI. Heart. 2011;97:998–1003. 70. Schenker MP, Dorbala S, Hong EC, 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;117:1693–1700. 71. Marwick TH, Case C, Vasey C, et al. Prediction of mortality by exercise echocardiography: a strategy for combination with the Duke Treadmill Score. Circulation. 2001;103:2566–2571. 72. Sicari R, Nihoyannopoulos P, Evangelista A, et al. Stress echocardiography expert consensus statement—executive summary: European Association of Echocardiography (EAE) (a registered branch of the ESC) Eur Heart J. 2009;30:278–289. 73. Vitola JV, Wanderley MR Jr, Cerci RJ, et al. Outcome of patients with highrisk Duke Treadmill Score and normal myocardial perfusion imaging on SPECT. J Nucl Cardiol. 2016;23:1291–1300. 74. Boiten HJ, van Domburg RT, Valkema R, et al. Eleven-year prognostic value of dobutamine stress (99m)Tc-sestamibi myocardial perfusion imaging in patients with limited exercise capacity. Am J Cardiol. 2015;115:884–889. 75. Uretsky S, Supariwala A, Gurram S, et al. The interaction of exercise ability and body mass index upon long-term outcomes among patients undergoing stress-rest perfusion single-photon emission computed tomography imaging. Am Heart J. 2013;166:127–133. 76. Bourque JM, Charlton GT, Holland BH, et al. Prognosis in patients achieving >/=10 METS on exercise stress testing: was SPECT imaging useful? J Nucl Cardiol. 2011;18:230–237. 77. Rozanski A, Gransar H, Hayes SW, et al. Temporal trends in the frequency of inducible myocardial ischemia during cardiac stress testing: 1991 to 2009 J Am Coll Cardiol. 2013;61:1054–1065. 78. Patel MR, Peterson ED, Dai D, et al. Low diagnostic yield of elective coronary angiography. N Engl J Med. 2010;362:886–895. 79. Patel MR, Dai D, Hernandez AF, et al. Prevalence and predictors of nonobstructive coronary artery disease identified with coronary angiography in contemporary clinical practice. Am Heart J. 2014;167:846–852 e2. 80. Greenwood JP, Ripley DP, Berry C, et al. Effect of care guided by cardio- vascular magnetic resonance, myocardial perfusion scintigraphy, or NICE guidelines on subsequent unnecessary angiography rates: the CE-MARC 2 randomized clinical trial. JAMA. 2016;316:1051–1060. Downloaded from http://ahajournals.org by on October 7, 2026