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The role of radionuclide myocardial perfusion imaging for asymptomatic individuals

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References

  1. Hendel RC, Berman DS, Di Carli MF, et al. ACCF/ASNC/ACR/AHA/ASE/SCCT/SCMR/SNM 2009 appropriate use criteria for cardiac radionuclide imaging. J Am Coll Cardiol 2009;53:2201-29.

    PubMed  Google Scholar 

  2. Hendel RC, Cerqueira M, Douglas PS, Caruth KC, Allen JM, Jensen NC, et al. A multicenter assessment of the use of single-photon emission computed tomography myocardial perfusion imaging with appropriateness criteria. J Am Coll Cardiol 2010;55:156-62.

    PubMed  Google Scholar 

  3. Bitton A, Gaziano TA. The Framingham Heart Study’s impact on global risk assessment. Prog Cardiovasc Dis 2010;53:68-78.

    PubMed  Google Scholar 

  4. Batsis JA, Lopez-Jimenez F. Cardiovascular risk assessment—from individual risk prediction to estimation of global risk and change in risk in the population. BMC Med 2010;8:29.

    PubMed  Google Scholar 

  5. Hemann BA, Bimson WF, Taylor AJ. The Framingham Risk Score: An appraisal of its benefits and limitations. Am Heart Hosp J 2007;5:91-6.

    PubMed  Google Scholar 

  6. Berry JD, Lloyd-Jones DM, Garside DB, Greenland P. Framingham risk score and prediction of coronary heart disease death in young men. Am Heart J 2007;154:80-6.

    PubMed  Google Scholar 

  7. Ridker PM, Buring JE, Rifai N, Cook NR. Development and validation of improved algorithms for the assessment of global cardiovascular risk in women: The Reynolds Risk Score JAMA 2007;297:611-9.

    CAS  PubMed  Google Scholar 

  8. Wenger NK. The Reynolds Risk Score: Improved accuracy for cardiovascular risk prediction in women? Nat Clin Pract Cardiovasc Med 2007;4:366-7.

    PubMed  Google Scholar 

  9. Ruilope LM. The Framingham risk score is valuable in Europeans. Nat Rev Nephrol 2010;6:14-5.

    PubMed  Google Scholar 

  10. Wackers FJ, Young LH. Lessons learned from the detection of ischemia in asymptomatic diabetics (DIAD) study. J Nucl Cardiol 2009;16:855-9.

    PubMed  Google Scholar 

  11. Young LH, Wackers FJ, Chyun DA, Davey JA, Barrett EJ, Taillefer R, et al. Cardiac outcomes after screening for asymptomatic coronary artery disease in patients with type 2 diabetes: The DIAD study: A randomized controlled trial. JAMA 2009;301:1547-55.

    CAS  PubMed  Google Scholar 

  12. Anand DV, Lim E, Hopkins D, Corder R, Shaw LJ, Sharp P, et al. Risk stratification in uncomplicated type 2 diabetes: Prospective evaluation of the combined use of coronary artery calcium imaging and selective myocardial perfusion scintigraphy. Eur Heart J 2006;27:713-21.

    PubMed  Google Scholar 

  13. Greenland P, Bonow RO, Brundage BH, Budoff MJ, Eisenberg MJ, Grundy SM, et al. ACCF/AHA 2007 clinical expert consensus document on coronary artery calcium scoring by computed tomography in global cardiovascular risk assessment and in evaluation of patients with chest pain: A report of the American College of Cardiology Foundation Clinical Expert Consensus Task Force (ACCF/AHA Writing Committee to Update the 2000 Expert Consensus Document on Electron Beam Computed Tomography) developed in collaboration with the Society of Atherosclerosis Imaging and Prevention and the Society of Cardiovascular Computed Tomography. J Am Coll Cardiol 2007;49:378-402.

    PubMed  Google Scholar 

  14. Rozanski A, Gransar H, Wong ND, Shaw LJ, Miranda-Peats R, Hayes SW, et al. Use of coronary calcium scanning for predicting inducible myocardial ischemia: Influence of patients’ clinical presentation. J Nucl Cardiol 2007;14:669-79.

    PubMed  Google Scholar 

  15. Blumenthal RS, Becker DM, Yanek LR, Moy TF, Michos ED, Fishman EK, et al. Comparison of coronary calcium and stress myocardial perfusion imaging in apparently healthy siblings of individuals with premature coronary artery disease. Am J Cardiol 2006;97:328-33.

    CAS  PubMed  Google Scholar 

  16. Wong ND, Sciammarella MG, Polk D, Gallagher A, Miranda-Peats L, Whitcomb B, et al. The metabolic syndrome, diabetes, and subclinical atherosclerosis assessed by coronary calcium. J Am Coll Cardiol 2003;41:1547-53.

    CAS  PubMed  Google Scholar 

  17. Boden WE, O’Rourke RA, Teo KK, et al. Optimal medical therapy with or without PCI for stable coronary disease. N Engl J Med 2007;356:1503-16.

    CAS  PubMed  Google Scholar 

  18. Klocke FJ, Baird MG, Lorell BH, et al. ACC/AHA/ASNC guidelines for the clinical use of cardiac radionuclide imaging—executive summary. Circulation 2003;108:1404-18.

    PubMed  Google Scholar 

  19. Greeland P, Alpert JS, Beller GA, et al. ACCF/AHA guideline for the assessment of cardiovascular risk in asymptomatic adults. J Am Coll Cardiol 2010;56. doi:10.1016/j.jacc.2010.09.001.

  20. Expert Panel on Detection Evaluation and Treatment of High Blood Cholesterol in Adults. Executive summary of the third report of the national cholesterol education program (NCEP) expert panel on detection, evaluation, and treatment of high blood cholesterol in adults (Adult Treatment Panel III). J Am Med Assoc 2001;285:2486-97.

    Google Scholar 

  21. Lee JH, Ngengwe R, Jones P, Tang F, O’Keefe JH. Erectile dysfunction as a coronary artery disease equivalent. J Nucl Cardiol 2008;15:800-3.

    PubMed  Google Scholar 

  22. Jackson G, Boon N, Eardley I, et al. Erectile dysfunction and coronary artery disease prediction: Evidence-based guidance and consensus. Int J Clin Pract 2010;64:848-57.

    CAS  PubMed  Google Scholar 

  23. Wild S, Roglic G, Green A, Sicree R, King H. Global prevalence of diabetes. Estimates for the year 2000 and projections for 2030. Diabetes Care 2004;27:1047-53.

    PubMed  Google Scholar 

  24. Grundy SM, Benjamin IJ, Burke GL, et al. Diabetes and cardiovascular disease. A statement for healthcare professionals from the American Heart Association. Circulation 1999;100:1134-46.

    CAS  PubMed  Google Scholar 

  25. Bonow RO, Bohannon N, Hazzard W. Risk stratification in coronary artery disease and special populations. Am J Med 1996;101:17S-22S.

    Google Scholar 

  26. Nesto RW, Phillips RT, Kett KG, et al. Angina and exertional myocardial ischemia in diabetic and nondiabetic patients: Assessment by exercise thallium scintigraphy. Ann Intern Med 1988;108:170-5.

    CAS  PubMed  Google Scholar 

  27. Goraya TY, Leibson CL, Palumbo PJ, et al. Coronary atherosclerosis in diabetes mellitus: A population based autopsy study. J Am Coll Cardiol 2002;40:946-53.

    PubMed  Google Scholar 

  28. Bax JJ, Bonow RO, Tschope D, Inzucchi SE, Barrett EJ. Global dialogue group for the evaluation of cardiovascular risk in patients with diabetes: The potential of myocardial perfusion scintigraphy for risk stratification of asymptomatic patients with type 2 diabetes. J Am Coll Cardiol 2006;48:754-60.

    PubMed  Google Scholar 

  29. Wackers FJT, Young LH, Inzucchi SE, et al. Detection of silent myocardial ischemia in asymptomatic diabetic subjects. The DIAD study. Diabetes Care 2004;27:1954-61.

    PubMed  Google Scholar 

  30. Rajagopalan N, Miller TD, Hodge DO, Frye RL, Gibbons RJ. Identifying high-risk asymptomatic diabetic patients who are candidates for screening stress single-photon emission computed tomography imaging. J Am Coll Cardiol 2005;45:43-9.

    PubMed  Google Scholar 

  31. Sorajja P, Chareonthaitawee P, Rajagopalan N, et al. Improved survival in asymptomatic diabetic patients with high-risk SPECT imaging treated with coronary artery bypass grafting. Circulation 2005;112:311-6.

    Google Scholar 

  32. Raggi P, Shaw LJ, Berman DS, Callister TQ. Prognostic value of coronary artery calcium screening in subjects with and without diabetes. J Am Coll Cardiol 2004;43:1663-9.

    CAS  PubMed  Google Scholar 

  33. Elkeles RS, Gosland IF, Feher MD, et al. Coronary calcium measurement improves prediction of cardiovascular events in asymptomatic patients with type 2 diabetes: The PREDICT study. Eur Heart J 2008;29:2244-51.

    CAS  PubMed  Google Scholar 

  34. Anand DV, Lim E, Lahiri A, Bax JJ. The role of non-invasive imaging in the risk stratification of asymptomatic diabetic subjects. Eur Heart J 2006;27:905-12.

    PubMed  Google Scholar 

  35. Scholte AJ, Bax JJ, Wackers FJ. Screening of asymptomatic patients with type 2 diabetes mellitus for silent coronary artery disease: Combined use of stress myocardial perfusion imaging and coronary calcium scoring. J Nucl Cardiol 2006;13:11-8.

    PubMed  Google Scholar 

  36. American Diabetes Association. Standards of medical care in diabetes—2006. Diabetes Care 2006;29:S4-42.

    Google Scholar 

  37. American Diabetes Association. Standards of medical care in diabetes—2010. Diabetes Care 2010;33:S11-61.

    Google Scholar 

  38. Thompson IM, Tangen CM, Goodman PJ, et al. Erectile dysfunction and subsequent cardiovascular disease. J Am Med Assoc 2005;294:2996-3002.

    CAS  Google Scholar 

  39. Chew KK, Finn J, Stuckey B, et al. Erectile dysfunction as a predictor for subsequent atherosclerotic cardiovascular events: Findings from a linked-data study. J Sex Med 2010;7:192-202.

    PubMed  Google Scholar 

  40. Gazzaruso C, Solerte SB, Pujia A, et al. Erectile dysfunction as a predictor of cardiovascular events and death in diabetic patients with angiographically proven asymptomatic coronary artery disease: A potential protective role for statins and 5-phosphodiesterase inhibitors. J Am Coll Cardiol 2008;51:2040-4.

    PubMed  Google Scholar 

  41. Schouten BW, Bohnen AM, Bosch JL, et al. Erectile dysfunction prospectively associated with cardiovascular disease in the Dutch general population: Results from the Krimpen study. Int J Impot Res 2008;20:92-9.

    CAS  PubMed  Google Scholar 

  42. Araujo AB, Travison TG, Ganz P, et al. Erectile dysfunction and mortality. J Sex Med 2009;6:2445-54.

    PubMed  Google Scholar 

  43. Araujo AB, Hall SA, Ganz P, et al. Does erectile dysfunction contribute to cardiovascular disease risk prediction beyond the Framingham risk score? J Am Coll Cardiol 2010;55:350-6.

    CAS  PubMed  Google Scholar 

  44. Guo W, Liao C, Zou Y, et al. Erectile dysfunction and risk of clinical cardiovascular events: A meta-analysis of seven cohort studies. J Sex Med 2010;7:2805-16.

    Google Scholar 

  45. Ward RP, Weiner J, Taillon LA. Comparison of findings on stress myocardial perfusion imaging in men with versus without erectile dysfunction and without prior heart disease. Am J Cardiol 2008;101:502-5.

    PubMed  Google Scholar 

  46. Min JK, Williams KA, Okwuosa TM, et al. Prediction of coronary heart disease by erectile dysfunction in men referred for nuclear stress testing. Arch Intern Med 2006;166:201-6.

    PubMed  Google Scholar 

  47. Hirsch AT, Haskal ZJ, Hertzer NR, et al. ACC/AHA practice guidelines for the management of patients with peripheral arterial disease (lower extremity, renal, mesentric, and abdominal aortic). Circulation 2005;113:e463-654.

    Google Scholar 

  48. Criqui MH, Langer RD, Froneck A, et al. Mortality over a period of 10 years in patients with peripheral arterial disease. N Engl J Med 1992;326:381-6.

    CAS  PubMed  Google Scholar 

  49. Hirose K, Chikamori T, Hida S, et al. Prevalence of coronary heart disease in patients with aortic aneurysm and/or peripheral artery disease. Am J Cardiol 2009;103:1215-20.

    PubMed  Google Scholar 

  50. Shaw LJ, Olson MB, Kip K, Kelsey SF, Johnson BD, Mark DB, et al. The value of estimated functional capacity in estimating outcome: Results from the NHBLI-Sponsored Women’s Ischemia Syndrome Evaluation (WISE) Study. J Am Coll Cardiol 2006;47:S36-43.

    PubMed  Google Scholar 

  51. Shaw LJ, Iskandrian AE. Prognostic value of gated myocardial perfusion SPECT. J Nucl Cardiol 2004;11:171-85.

    PubMed  Google Scholar 

  52. Go AS, Chertow GM, Fan D, McCulloch CE, Hsu CY. Chronic kidney disease and the risks of death, cardiovascular events, and hospitalization. N Engl J Med 2004;351:1296-305.

    CAS  PubMed  Google Scholar 

  53. Tonelli M, Wiebe N, Culleton B, et al. Chronic kidney disease and mortality risk: A systematic review. J Am Soc Nephrol 2006;17:2034-47.

    PubMed  Google Scholar 

  54. Okwuosa T, Williams KA. Coronary artery disease and nuclear imaging in renal failure. J Nucl Cardiol 2006;13:150-5.

    PubMed  Google Scholar 

  55. Hase H, Joki N, Ishikawa H. Prognostic value of stress myocardial perfusion imaging using adenosine triphosphate at the beginning of haemodialysis treatment in patients with end-stage renal disease. Nephrol Dial Transplant 2004;19:1161-7.

    PubMed  Google Scholar 

  56. Dahan M, Viron BM, Faraggi M, et al. Diagnostic accuracy and prognostic value of combined dipyridamole-exercise thallium imaging in hemodialysis patients. Kidney Int 1998;54:255-62.

    CAS  PubMed  Google Scholar 

  57. Brown JH, Vites NP, Testa HJ, et al. Value of thallium myocardial imaging in the prediction of future cardiovascular events in patients with end-stage renal failure. Nephrol Dial Transplant 1993;8:433-7.

    CAS  PubMed  Google Scholar 

  58. Dussol B, Bonnet JL, Sampol J, et al. Prognostic value of inducible myocardial ischemia in predicting cardiovascular events after renal transplantation. Kidney Int 2004;66:1633-9.

    PubMed  Google Scholar 

  59. Momose M, Babazono T, Kondo C, et al. Prognostic significance of stress myocardial ECG-gated perfusion imaging in asymptomatic patients with diabetic chronic kidney disease on initiation of haemodialysis. Eur J Nucl Med Mol Imaging 2009;36:1315-21.

    PubMed  Google Scholar 

  60. Kim SB, Lee SK, Park JS, Moon DH. Prevalence of coronary artery disease using thallium-201 single photon emission computed tomography among patients newly undergoing chronic peritoneal dialysis and its association with mortality. Am J Nephrol 2004;24:448-52.

    PubMed  Google Scholar 

  61. Porter GA, Norton TL, Lindsley J, et al. Relationship between elevated serum troponin values in end-stage renal disease patients and abnormal isotopic cardiac scans following stress. Ren Fail 2003;25:55-65.

    PubMed  Google Scholar 

  62. Mehta NJ, Khan IA, et al. HIV-associated coronary artery disease. Angiology 2003;54:269-75.

    PubMed  Google Scholar 

  63. Catzin-Kuhlmann A, Orea-Tajeda A, Castillo-Martinez L, et al. Human immunodeficiency virus-infected subjects have no altered myocardial perfusion. Int J Cardiol 2007;122:90-2.

    PubMed  Google Scholar 

  64. Wilson PW. Evidence of systemic inflammation and estimation of coronary artery disease risk: A population perspective. Am J Med 2008;121:S15-20.

    PubMed  Google Scholar 

  65. Warrington KJ, Kent PD, Frye RL, Lymp JF, Kopecky SL, Goronzy JJ, et al. Rheumatoid arthritis is an independent risk factor for multi-vessel coronary artery disease: A case control study. Arthritis Res Ther 2005;7:R984-91.

    CAS  PubMed  Google Scholar 

  66. del Rincon ID, Williams K, Stern MP, Freeman GL, Escalante A. High incidence of cardiovascular events in a rheumatoid arthritis cohort not explained by traditional cardiac risk factors. Arthritis Rheum 2001;44:2737-45.

    PubMed  Google Scholar 

  67. Roman MJ, Shanker BA, Davis A, Lockshin MD, Sammaritano L, Simantov R, et al. Prevalence and correlates of accelerated atherosclerosis in systemic lupus erythematosus. N Engl J Med 2003;349:2399-406.

    CAS  PubMed  Google Scholar 

  68. Boucelma M, Tahmi M, Chaudet H, Drahmoune R, Bouyoucef SE, Hakem D, et al. Assessment of myocardial perfusion in systemic lupus erythematosus. Rev Med Interne 2009;30:119-24.

    CAS  PubMed  Google Scholar 

  69. Lin CC, Ding HJ, Chen YW, Wang JJ, Ho ST, Kao A. Usefulness of technetium-99 m sestamibi myocardial perfusion SPECT in detection of cardiovascular involvement in patients with systemic lupus erythematosus or systemic sclerosis. Int J Cardiol 2003;92:157-61.

    PubMed  Google Scholar 

  70. Fuster V, Ryden LE, Cannom DS, et al. ACC/AHA/ESC 2006 guidelines for the management of patients with atrial fibrillation. J Am Coll Cardiol 2006;48:e149-246.

    Google Scholar 

  71. Ward RP, Al-Mallah MH, Grossman GB, et al. American Society of Nuclear Cardiology review of the ACCF/ASNC appropriateness criteria for single-photon emission computed tomography myocardial perfusion imaging (SPECT MPI). J Nucl Cardiol 2007;14:e26-38.

    PubMed  Google Scholar 

  72. Detrano R, Guerci AD, Carr JJ, Bild DE, Burke G, Folsom AR, et al. Coronary calcium as a predictor of coronary events in four racial or ethnic groups. N Engl J Med 2008;358:1336-45.

    CAS  PubMed  Google Scholar 

  73. Polonsky TS, McClelland RL, Jorgensen NW, Bild DE, Burke GL, Guerci AD, et al. Coronary artery calcium score and risk classification for coronary heart disease prediction. JAMA 2010;303:1610-6.

    CAS  PubMed  Google Scholar 

  74. 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.

    PubMed  Google Scholar 

  75. Blankstein R, Di Carli MF. Integration of coronary anatomy and myocardial perfusion imaging. Nat Rev Cardiol 2010;7:226-36.

    PubMed  Google Scholar 

  76. Berman DS, Wong ND, Gransar H, Miranda-Peats R, Dahlbeck J, Hayes SW, et al. Relationship between stress-induced myocardial ischemia and atherosclerosis measured by coronary calcium tomography. J Am Coll Cardiol 2004;44:923-30.

    CAS  PubMed  Google Scholar 

  77. 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.

    PubMed  Google Scholar 

  78. Uebleis C, Becker A, Griesshammer I, Cumming P, Becker C, Schmidt M, et al. Stable coronary artery disease: Prognostic value of myocardial perfusion SPECT in relation to coronary calcium scoring—long-term follow-up. Radiology 2009;252:682-90.

    PubMed  Google Scholar 

  79. Blankstein R, Dorbala S. Adding calcium scoring to myocardial perfusion imaging: Does it alter physicians’ therapeutic decision making? J Nucl Cardiol 2010;17:168-71.

    PubMed  Google Scholar 

  80. He ZX, Hedrick TD, Pratt CM, Verani MS, Aquino V, Roberts R, et al. Severity of coronary artery calcification by electron beam computed tomography predicts silent myocardial ischemia. Circulation 2000;101:244-51.

    CAS  PubMed  Google Scholar 

  81. Nambi V, Chambless L, Folsom AR, He M, Hu Y, Mosley T, et al. Carotid intima-media thickness and presence or absence of plaque improves prediction of coronary heart disease risk: The ARIC (Atherosclerosis Risk In Communities) study. J Am Coll Cardiol 2010;55:1600-7.

    CAS  PubMed  Google Scholar 

  82. Hunt SA, Abraham WT, Chin MH, Feldman AM, Francis GS, Ganiats TG, et al. 2009 Focused Update Incorporated Into the ACC/AHA 2005 Guidelines for the Diagnosis and Management of Heart Failure in Adults: A Report of the American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines Developed in Collaboration With the International Society for Heart and Lung Transplantation. J Am Coll Cardiol 2009;53:e1-90.

    PubMed  Google Scholar 

  83. Hachamovitch R, Hayes S, Friedman JD, et al. Determinants of risk and its temporal variation in patients with normal stress myocardial perfusion scans: What is the warranty period of a normal scan? J Am Coll Cardiol 2003;41:1329-40.

    PubMed  Google Scholar 

  84. Boucher CA, Brewster DC, Darling C, et al. Determination of cardiac risk by dipyridamole-thallium imaging before peripheral vascular surgery. N Engl J Med 1985;312:389-94.

    CAS  PubMed  Google Scholar 

  85. Cutler BS, Leppo JA. Dipyridamole thallium 201 scintigraphy to detect coronary artery disease before abdominal aortic surgery. J Vasc Surg 1987;5:91-100.

    CAS  PubMed  Google Scholar 

  86. Fleisher LA, Beckman JA, Brown KA, et al. 2009 ACCF/AHA focused update on perioperative beta blockade incorporated into the ACC/AHA 2007 guidelines on perioperative cardiovascular evaluation and care for noncardiac surgery. J Am Coll Cardiol 2009;54:e13-118.

    PubMed  Google Scholar 

  87. Eagle KA, Berger PB, Calkins H, et al. ACC/AHA guideline update for perioperative cardiovascular evaluation for noncardiac surgery—executive summary. J Am Coll Cardiol 2002;39:542-53.

    PubMed  Google Scholar 

  88. Shaw LJ, Eagle KA, Gersh BJ, Miller DD. Meta-analysis of intravenous dipyridamole-thallium-201 imaging (1985 to 1994) and dobutamine echocardiography (1991 to 1994) for risk stratification before vascular surgery. J Am Coll Cardiol 1996;27:787-98.

    CAS  PubMed  Google Scholar 

  89. Lee TH, Marcantonio ER, Mangione CM, et al. Derivation and prospective validation of a simple index for prediction of cardiac risk of major noncardiac surgery. Circulation 1999;100:1043-9.

    CAS  PubMed  Google Scholar 

  90. Deveraux P, Goldman L, Cook D, et al. Perioperative cardiac events in patients undergoing noncardiac surgery: A review of the magnitude of the problem, the pathophysiology of the events and methods to estimate and communicate risk. Can Med Assoc J 2005;173:627-34.

    Google Scholar 

  91. Patel AD, Abo-Auda WS, Davis JM, et al. Prognostic value of myocardial perfusion imaging in predicting outcomes after renal transplantation. Am J Cardiol 2003;92:146-51. Erratum in: Am J Cardiol 2004;93(1):129-130.

    PubMed  Google Scholar 

  92. Rabbat CG, Treleaven DJ, Russell JD, Ludwin D, Cook DJ. Prognostic value of myocardial perfusion studies in patients with end-stage renal disease assessed for kidney or kidney-pancreas transplantation: A meta-analysis. J Am Soc Nephrol 2003;14:431-9.

    PubMed  Google Scholar 

  93. Wong CF, Little MA, Vinjamuri S, Hammad A, Harper JM. Technetium myocardial perfusion scanning in prerenal transplant evaluation in the United Kingdom. Transplant Proc 2008;40:1324-8.

    CAS  PubMed  Google Scholar 

  94. Kryzhanovski VA, Beller GA. Usefulness of preoperative noninvasive radionuclide testing for detecting coronary artery disease in candidates for liver transplantation. Am J Cardiol 1997;79:986-8.

    CAS  PubMed  Google Scholar 

  95. Zoghbi GJ, Patel AD, Ershadi RE, et al. Usefulness of preoperative stress perfusion imaging in predicting prognosis after liver transplantation. Am J Cardiol 2003;92:1066-71.

    PubMed  Google Scholar 

  96. Kasiske BL, Ramos EL, Gaston RS, et al. The evaluation of renal transplant candidates: Clinical practice guidelines. J Am Soc Nephrol 1995;6:1-34.

    CAS  PubMed  Google Scholar 

  97. Gupta R, Birnbaum Y, Uretsky BF. The renal patient with coronary artery disease: Current concepts and dilemmas. J Am Coll Cardiol 2004;44:1343-53.

    PubMed  Google Scholar 

  98. Findlay JY, Wen DI, Mandell MS. Cardiac risk evaluation for abdominal transplantation. Curr Opin Organ Transplant 2010;15:363-7.

    PubMed  Google Scholar 

  99. Lentine KL, Hurst FP, Jindal RM, et al. Cardiovascular risk assessment among potential kidney transplant candidates: Approaches and controversies. Am J Kidney Dis 2010;55:152-67.

    PubMed  Google Scholar 

  100. Safadi A, Homsi M, Maskoun W, et al. Perioperative risk predictors of cardiac outcomes in patients undergoing liver transplantation surgery. Circulation 2009;120:1189-94.

    PubMed  Google Scholar 

  101. Shaw LJ, Berman DS, Maron DJ, et al. Optimal medical therapy with or without percutaneous intervention to reduce ischemic burden: Results from the Clinical Outcomes Utilizing Revascularization and Aggressive Drug Evaluation (COURAGE) trial nuclear substudy. Circulation 2008;117:1283-91.

    PubMed  Google Scholar 

  102. BARI The 2D Study Group. A randomized trial of therapies for type 2 diabetes and coronary artery disease. N Engl J Med 2009;360:2503-15.

    Google Scholar 

  103. Wiersma JJ, Verbeerne HJ, ten Holt WL, et al. Prognostic value of myocardial perfusion scintigraphy in type 2 diabetic patients with mild, stable angina pectoris. J Nucl Cardiol 2009;16:524-32.

    PubMed  Google Scholar 

  104. Wijns W, Kolh P, Danchin N, et al. ESC/EACTS guidelines on myocardial revascularization. Eur Heart J 2010;31. doi: 10.1093/eurheartj/ehq277.

  105. Brown KA. Prognostic value of thallium-201 myocardial perfusion imaging in patients with unstable angina who respond to medical treatment. J Am Coll Cardiol 1991;17:1053-7.

    CAS  PubMed  Google Scholar 

  106. Dadik HA, Klieman NS, Farmer JA, et al. Intensive medical therapy versus coronary angioplasty for suppression of myocardial ischemia in survivors of acute myocardial infarction. Circulation 1998;98:2017-23.

    Google Scholar 

  107. Boden WE, O’Rourke RA, Crawford MH, et al. For the Veterans Affairs non-Q-wave infarction strategies in hospital (VANQWISH) trial investigators: Outcomes in patients with acute non-Q-wave myocardial infarction randomly assigned to an invasive as compared with a conservative management strategy. N Engl J Med 1998;338:1785-92.

    CAS  PubMed  Google Scholar 

  108. Mahmarian JJ, Shaw LJ, Filipchuk NG, et al. A multinational study to establish the value of early adenosine technetium-99 m sestamibi myocardial perfusion imaging in indentifying a low-risk group for early hospital discharge after acute myocardial infarction. J Am Coll Cardiol 2006;48:2448-557.

    PubMed  Google Scholar 

  109. Brown KA, Heller GV, Landin RS, et al. Early dipyridamole 99mTc-sestamibi single photon emission computed tomographic imaging 2 to 4 days after acute myocardial infarction predicts in-hospital and postdischarge cardiac events: Comparison with submaximal exercise imaging. Circulation 1999;100:2060-6.

    CAS  PubMed  Google Scholar 

  110. Zellweger M, Weinbacher M, Zutter A, et al. Long-term outcome of patients with silent versus symptomatic ischemia six months after percutaneous coronary intervention and stenting. J Am Coll Cardiol 2003;42:33-40.

    PubMed  Google Scholar 

  111. Gibbons R, Balady G, Bricker J, et al. ACC/AHA 2002 guideline update for exercise testing—summary article. Circulation 2002;106:1883.

    PubMed  Google Scholar 

  112. Lauer MS, Lytle B, Pashkow F, Snader CE, Marwick TH. Prediction of death and myocardial infarction by screening with exercise-thallium testing after coronary-artery-bypass grafting. Lancet 1998;351:615-22.

    CAS  PubMed  Google Scholar 

  113. Eisenberg M, Wou K, Hiep Nguyen H, et al. Lack of benefit for routine functional testing early after coronary artery bypass graft surgery: Results from the ROSETTA-CABG registry. J Invasive Cardiol 2006;18:147-52.

    PubMed  Google Scholar 

  114. Zellweger M, Lewin H, Lai S, et al. When to stress patients after coronary artery bypass surgery? Risk stratification in patients early and late post-CABG using stress myocardial perfusion SPECT: Implications of appropriate clinical strategies. J Am Coll Cardiol 2001;37:144-52.

    CAS  PubMed  Google Scholar 

  115. Acampa W, Petretta M, Evangelista L, et al. Stress SPECT imaging late after CABG for risk stratification and estimation of time to cardiac events. J Thorac Cardiovasc Surg 2008;136:46-51.

    PubMed  Google Scholar 

  116. Committee to Assess Health Risks from Exposure to Low Levels of Ionizing Radiation and National Research Council. Health risks from exposure to low levels of ionizing radiation: BIER VII phase 2. Washington, DC: National Academies Press 2006.

  117. Cerqueira MD, Allman KA, Ficaro EP, et al. ASNC information statement: Recommendations for reducing radiation exposure in myocardial perfusion imaging. J Nucl Cardiol 2010;17:709-18.

    PubMed  Google Scholar 

  118. Zanzonico P, Stabin MG. Benefits of medical radiation exposures. http://hps.org/hpspublications/articles/Benefitsofmedradexposures.html. Updated December 19, 2009. Accessed July 31, 2010; 2009.

  119. Einstein AJ, Moser KW, Thompson RC, Cerqueira MD, Henzlova MJ. Radiation dose to patients from cardiac diagnostic imaging. Circulation 2007;116:1290-305.

    PubMed  Google Scholar 

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Disclosures

Robert C. Hendel, MD serves on the advisory board for Astellas Pharma US and UnitedHealth Group, serves on the speakers’ bureau for Astellas Pharma US, is a consultant for PGx Health, and receives research support from GE Healthcare and PGx Health. Brian G. Abbott, MD serves on the advisory Board for Astellas Pharma US. Dennis A. Calnon, MD is a consultant for PGx Health. Jamishid Maddahi, MD receives research support from Lantheus Medical Imaging, serves on the speakers’ bureau for Astellas Pharma US, serves on the advisory board for Digirad, Lantheus Medical Imaging, and Astellas Pharma US, and receives honoraria from Digirad and Lantheus Medical Imaging. David G. Wolinsky, MD is a consultant for PGx Health and serves on the speakers’ bureau for Astellas Pharma US. The authors have no conflicts of interest to disclose except as noted above.

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Authors and Affiliations

  1. University of Miami Miller School of Medicine, Miami, FL, USA

    Robert C. Hendel MD

  2. Brown University, Warren Alpert Medical School, Providence, RI, USA

    Brian G. Abbott MD

  3. St. Luke’s Cardiovascular Consultants, Inc, Kansas City, MO, USA

    Timothy M. Bateman MD, PhD

  4. Brigham & Women’s Hospital, Harvard Medical School, Boston, MA, USA

    Ron Blankstein MD

  5. MidOhio Cardiology & Vascular Consultants, Columbus, OH, USA

    Dennis A. Calnon MD

  6. Berkshire Medical Center, Pittsfield, MA, USA

    Jeffrey A. Leppo MD

  7. UCLA School of Medicine, Los Angeles, CA, USA

    Jamshid Maddahi MD

  8. LeHigh Valley Hospital & Health Network, Allentown, PA, USA

    Matthew M. Schumaecker MD

  9. Emory University School of Medicine, Atlanta, GA, USA

    Leslee J. Shaw PhD

  10. University of Chicago, Chicago, IL, USA

    R. Parker Ward MD

  11. Prime Care Physicians, Albany, NY, USA

    David G. Wolinsky MD

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  1. Robert C. Hendel MD
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  2. Brian G. Abbott MD
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  3. Timothy M. Bateman MD, PhD
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  4. Ron Blankstein MD
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  5. Dennis A. Calnon MD
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  8. Matthew M. Schumaecker MD
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  9. Leslee J. Shaw PhD
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  10. R. Parker Ward MD
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  11. David G. Wolinsky MD
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Hendel, R.C., Abbott, B.G., Bateman, T.M. et al. The role of radionuclide myocardial perfusion imaging for asymptomatic individuals. J. Nucl. Cardiol. 18, 3–15 (2011). https://doi.org/10.1007/s12350-010-9320-5

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