Prognostic Value Of Normal Myocardial Perfusion Imaging In Asymptomatic Diabetic Patients With Moderate And High Calcium Scores

1. Fuster V, Mearns BM. The CVD paradox: mortality vs prevalence. Nat Rev Cardiol 2009; 6: 669-670.10.1038/nrcardio.2009.187Search in Google Scholar

2. Shah PK. Screening asymptomatic subjects for subclinical atherosclerosis: can we, does it matter, and should we? J Am Coll Cardiol 2010; 56: 98–105. http://www.ncbi.nlm.nih.gov/pubmed/2062072410.1016/j.jacc.2009.09.081Search in Google Scholar

3. Chillarón JJ, Roux JA, Benaiges D, Pedro-Botet J. Subclinical cardiovascular disease in type 2 diabetes mellitus: To screen or not to screen. World J Clin Cases. 2014 Sep 16;2(9):415-21. http://www.ncbi.nlm.nih.gov/pubmed/2523254310.12998/wjcc.v2.i9.415Search in Google Scholar

4. Greenland P, Alpert JS, Beller GA, et al. 2010 ACCF/AHA guideline for assessment of cardiovascular risk in asymptomatic adults: a report of the American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines. J Am Coll Cardiol 2010; 56: e50–103 http://www.ncbi.nlm.nih.gov/pubmed/21144964Search in Google Scholar

5. Detrano RC, Doherty TM, Davies MJ, Stary HC: Predicting coronary events with coronary calcium: pathophysiologic and clinical problems. Curr Probl Cardiol 25:374–402, 2000. http://www.ncbi.nlm.nih.gov/pubmed/1084950910.1067/mcd.2000.104848Search in Google Scholar

6. Carli MF, Hachamovitch R. Should we screen for occult coronary artery disease among asymptomatic patients with diabetes? J Am Coll Cardiol. 2005;45:50–53. http://www.ncbi.nlm.nih.gov/pubmed/1562937210.1016/j.jacc.2004.09.055Search in Google Scholar

7. 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;45:43–49. http://www.ncbi.nlm.nih.gov/pubmed/1562937110.1016/j.jacc.2004.06.078Search in Google Scholar

8. Miller TD, Rajagopalan N, Hodge DO, Frye RL, Gibbons RJ. Yield of stress single-photon emission computed tomography in asymptomatic patients with diabetes. Am Heart J 2004;147:890–6. http://www.ncbi.nlm.nih.gov/pubmed/1513154710.1016/j.ahj.2003.08.015Search in Google Scholar

9. European Guidelines on cardiovascular disease prevention in clinical practice. The Fifth Joint Task Force of the European Society of Cardiology and Other Societies on Cardiovascular Disease Prevention in Clinical Practice Eur Heart J 2012; 33: 1635–1701. http://www.ncbi.nlm.nih.gov/pubmed/22698795Search in Google Scholar

10. Kang X, Berman DS, Howard CL et all. Incremental prognostic value of myocardial perfusion single photon emission computed tomography in patients with diabetes mellitus. Am Heart J. 1999;138:1025-32. http://www.ncbi.nlm.nih.gov/pubmed/1057743110.1016/S0002-8703(99)70066-9Search in Google Scholar

11. Giri S, Shaw LJ, Murthy DR, Travin MI, et. all. Impact of diabetes on the risk stratification using stress single-photon emission computed tomography myocardial perfusion imaging in patients with symptoms suggestive of coronary artery disease. Circulation. 2002 Jan 1;105(1):32-40. http://www.ncbi.nlm.nih.gov/pubmed/1177287310.1161/hc5001.100528Search in Google Scholar

12. 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. http://www.ncbi.nlm.nih.gov/pubmed/1270692910.1016/S0735-1097(03)00125-6Search in Google Scholar

13. Bateman TM, Heller GV, McGhie AI, et al. Diagnostic accuracy of rest/stress ECG-gated Rb-82 myocardial perfusion PET: comparison with ECGgated Tc-99 m sestamibi SPECT. J Nucl Cardiol 2006;13:24–33. http://www.ncbi.nlm.nih.gov/pubmed/1646471410.1016/j.nuclcard.2005.12.004Search in Google Scholar

14. Shaw LJ, Iskandrian AE. Prognostic value of gated myocardial perfusion SPECT. J Nucl Cardiol. 2004;11:171–185. http://www.ncbi.nlm.nih.gov/pubmed/1505224910.1016/j.nuclcard.2003.12.004Search in Google Scholar

15. Kang X, Berman DS, Lewin H, et al. Comparative ability of myocardial perfusion single-photon emission computed tomography to detect coronary artery disease in patients with and without diabetes mellitus. Am Heart J. 1999;137:949–957. http://www.ncbi.nlm.nih.gov/pubmed/1022064610.1016/S0002-8703(99)70421-7Search in Google Scholar

16. Bourque JM, Beller GA. Stress myocardial perfusion imaging for assessing prognosis: an update. JACC Cardiovasc Imaging. 2011 Dec;4(12):1305-19. http://www.ncbi.nlm.nih.gov/pubmed/2217278810.1016/j.jcmg.2011.10.003Search in Google Scholar

17. Kamalesh M, Feigenbaum H, Sawada S. Challenge of identifying patients with diabetes mellitus who are at low risk for coronary events by use of cardiac stress imaging. Am Heart J; 2004; 147(4): 561–563. http://www.ncbi.nlm.nih.gov/pubmed/1507706710.1016/j.ahj.2003.12.012Search in Google Scholar

18. Qu W, Le TT, Azen SP, et all. Value of coronary artery calcium scanning by computed tomography for predicting coronary heart disease in diabetic subjects. Diabetes Care. 2003 Mar; 26(3):905-10. http://www.ncbi.nlm.nih.gov/pubmed/1261005710.2337/diacare.26.3.905Search in Google Scholar

19. Doherty TM, Detrano RC, Mautner SL, Mautner GC, Shavelle R: Coronary calcium: the good, the bad, and the uncertain. Am Heart J 137:806–814, 1999. http://www.ncbi.nlm.nih.gov/pubmed/1022062810.1016/S0002-8703(99)70403-5Search in Google Scholar

20. Simonsen JA, Gerke O, Rask CK et all. Prognosis in patients with suspected or known ischaemic heart disease and normal myocardial perfusion: Long-term outcome and temporal risk variations. J Nucl Cardiol. 2013 Jun;20(3):347-57 http://www.ncbi.nlm.nih.gov/pubmed/2345683010.1007/s12350-013-9696-023456830Search in Google Scholar

21. Berman DS, Wong ND, Gransar H, et al. Relationship between stress-induced myocardial ischaemia and atherosclerosis measured by coronary calcium tomography. J Am Coll Cardiol. 2004;44(4):923-930. http://www.ncbi.nlm.nih.gov/pubmed/1531288110.1016/j.jacc.2004.06.04215312881Search in Google Scholar