Hybrid Imaging to Assess the Impact of Vulnerable Plaque on Post Myocardial Infarction Myocardial Scar

1. WHO. The global burden of disease: 2004 update. Geneva: World Health Organization; 2008b. https://www.who.int/healthinfo/global_burden_disease/2004_report_update/en/Search in Google Scholar

2. Saeed M, Van TA, Krug R, Hetts SW, Wilson MW. Cardiac MR imaging: current status and future direction. Cardiovasc Diagn Ther. 2015;5:290-310.Search in Google Scholar

3. Stănescu A, Opincariu D, Rat N, et al. Hybrid Imaging in the Assessment of Myocardial Ischemia and Viability. Journal of Interdisciplinary Medicine. 2016;3:242-246.10.1515/jim-2016-0071Search in Google Scholar

4. Danad I, Raijmakers PG, Appelman YE, et al. Hybrid imaging using quantitative H2 15O PET and CT-based coronary angiography for the detection of coronary artery disease. J Nucl Med. 2013;54:55-63.10.2967/jnumed.112.104687Search in Google Scholar

5. Partington SL, Kwong RY Dorbala S. Multimodality imaging in the assessment of myocardial viability. S Heart Fail Rev. 2011;16:381-395.10.1007/s10741-010-9201-7Search in Google Scholar

6. Kajander S, Joutsiniemi E, Saraste M, et al. Cardiac positron emission tomography/computed tomography imaging accurately detects anatomically and functionally significant coronary artery disease. Circulation. 2010;122:603-613.10.1161/CIRCULATIONAHA.109.915009Search in Google Scholar

7. Rispler S, Keidar Z, Ghersin E, et al. Integrated single-photon emission computed tomography and computed tomography coronary angiography for the assessment of hemodynamically significant coronary artery lesions. J Am Coll Cardiol. 2007;49:1059-1067.10.1016/j.jacc.2006.10.069Search in Google Scholar

8. Mowatt G, Cummins E, Waugh N, et al. Systematic review of the clinical effectiveness and cost-effectiveness of 64-slice or higher computed tomography angiography as an alternative to invasive coronary angiography in the investigation of coronary artery disease. Health Technol Assess. 2008;12:iii-iv, ix-143.Search in Google Scholar

9. Masuda A, Yamaki T, Kunii H, et al. Simultaneous Assessment of Myocardial Viability With 18F-fluorodeoxyglucose Uptake and Late Gadolinium Enhancement by PET/MRI. Circulation. 2016;134:A11929.Search in Google Scholar

10. Leone AM, De Caterina AR, Basile E, et al. Influence of the amount of myocardium subtended by a stenosis on fractional flow reserve. Circ Cardiovasc Interv. 2013;6:29-36.10.1161/CIRCINTERVENTIONS.112.971101Search in Google Scholar

11. Selvanayagam JB, Kardos A, Francis JM, et al. Value of delayed-enhancement cardiovascular magnetic resonance imaging in predicting myocardial viability after surgical revascularization. Circulation. 2004;110:1535-1541.10.1161/01.CIR.0000142045.22628.74Search in Google Scholar

12. Allman KC, Shaw LJ, Hachamovitch R, Udelson JE. Myocardial viability testing and impact of revascularization on prognosis in patients with coronary artery disease and left ventricular dysfunction: a meta-analysis. J Am Coll Cardiol. 2002;39:1151-1158.10.1016/S0735-1097(02)01726-6Search in Google Scholar

13. Thiele H, Kappl MJ, Conradi S, Niebauer J, Hambrecht, Schuler G. Reproducibility of chronic and acute infarct size measurement by delayed enhancement-magnetic resonance imaging. J Am Coll Cardiol. 2006;47:1641-1645.10.1016/j.jacc.2005.11.06516631003Search in Google Scholar

14. Ide S, Sumitsuji S, Yamaguchi O, Sakata Y. Cardiac computed tomography-derived myocardial mass at risk using the Voronoi-based segmentation algorithm: a histological validation study. J Cardiovasc Comput Tomogr. 2017;11:179-182.10.1016/j.jcct.2017.04.00728431861Search in Google Scholar

15. Califf RM, Phillips HR, Hindman MC, et al. Prognostic value of a coronary artery jeopardy score. J Am Coll Cardiol. 1985;5:1055-1063.10.1016/S0735-1097(85)80005-XSearch in Google Scholar

16. Dash H, Johnson RA, Dinsmore RE, Hawthorne JW. Cardiomyopathic syndrome due to coronary artery disease. I. Relation to angiographic extent of coronary artery disease and to remote myocardial infarction. Br Heart J. 1977;39:733-739.10.1136/hrt.39.7.733Search in Google Scholar

17. Mahrholdt H, Wagner A, Judd R.M, Sechtem U, Kim RJ. Delayed enhancement cardiovascular magnetic resonance assessment of nonischaemic cardiomyopathies. Eur Heart J. 2005;26:1461-1474.10.1093/eurheartj/ehi258Search in Google Scholar

18. Wijns W, Vatner SF, Camici PG. Hibernating myocardium. N Engl J Med. 1998;339:173-181.10.1056/NEJM199807163390307Search in Google Scholar

19. Tillisch J, Brunken R, Marshall R, et al. Reversibility of cardial wall-motion abnormalities predicted by positron tomography. N Engl J Med. 1986;314:884-888.10.1056/NEJM198604033141405Search in Google Scholar

20. Maddahi J, Schelbert H, Brunken R, Di Carli M. Role of thallium-201 and PET imaging in evaluation of myocardial viability and management of patients with coronary artery disease and left ventricular dysfunction. J Nucl Med. 1994;35:707-715.Search in Google Scholar

21. Christopher J. PET vs. MRI for Myocardial Viability. Indian Journal of Clinical Cardiology. 2020;1:40-45.10.1177/2632463620901369Search in Google Scholar

22. Kim SY, Kim KS, Seung MJ, et al. The culprit lesion score on multi-detector computed tomography can detect vulnerable coronary artery plaque. Int J Cardiovasc Imaging. 2010;26:245-252.10.1007/s10554-010-9712-2Search in Google Scholar

23. Force T, Kemper A, Perkins L, et al. Overestimation of infarct size by quantitative two-dimensional echocardiography: the role of tethering and of analytic procedures. Circulation. 1986;73:1360-1368.10.1161/01.CIR.73.6.1360Search in Google Scholar

24. Muller J, Tofler G, Stone P. Circadian variation and triggers of onset of acute cardiovascular disease. Circulation. 1989;79:733-743.10.1161/01.CIR.79.4.733Search in Google Scholar

25. Muller JE, Abela GS, Nesto RW, et al. Triggers, acute risk factors and vulnerable plaques: the lexicon of a new frontier. J Am Coll Cardiol. 1994;23:809-813.10.1016/0735-1097(94)90772-2Search in Google Scholar

26. Naghavi M, Libby P, Falk E, et al. From vulnerable plaque to vulnerable patient: a call for new definitions and risk assessment strategies: Part I. Circulation. 2003;108:1664-1672.10.1161/01.CIR.0000087480.94275.9714530185Search in Google Scholar

27. Obaid DR, Calvert PA, Gopalan D, et al. Atherosclerotic plaque composition and classification identified by coronary computed tomography: assessment of computed tomography-generated plaque maps compared with virtual histology intravascular ultrasound and histology. Circ Cardiovasc Imaging. 2013;6:655-664.10.1161/CIRCIMAGING.112.00025023960215Search in Google Scholar

28. Pundziute G, Schuijf JD, Jukema JW, et al. Head-to-head comparison of coronary plaque evaluation between multislice computed tomography and intravascular ultrasound radiofrequency data analysis. J Am Coll Cardiol Intv. 2008;1:176-182.10.1016/j.jcin.2008.01.00719463297Search in Google Scholar

29. Motoyama S, Kondo T, Sarai M, et al. Multislice computed tomographic characteristics of coronary lesions in acute coronary syndromes. J Am Coll Cardiol. 2007;50:319-326.10.1016/j.jacc.2007.03.04417659199Search in Google Scholar

30. Marwan M, Taher MA, El Meniawy K, et al. In vivo CT detection of lipid-rich coronary artery atherosclerotic plaques using quantitative histogram analysis: a head to head comparison with IVUS. Atherosclerosis. 2011;215:110-115.10.1016/j.atherosclerosis.2010.12.00621227419Search in Google Scholar

31. Maurovich-Horvat P, Hoffmann U, Vorpahl M, et al. The napkin-ring sign: CT signature of high-risk coronary plaques? JACC Cardiovasc Imaging. 2010;3:440-444.Search in Google Scholar

32. Maurovich-Horvat P, Ferencik M, Voros S, et al. Comprehensive plaque assessment by coronary CT angiography. Nat Rev Cardiol. 2014;11:390-402.10.1038/nrcardio.2014.6024755916Search in Google Scholar

33. Feuchtner G, Kerber J, Burghard P, et al. The high-risk criteria low-attenuation plaque <60 HU and the napkin-ring sign are the most powerful predictors of MACE: a long-term follow-up study. Eur Heart J Cardiovasc Imaging. 2017;18:772-779.10.1093/ehjci/jew16727502292Search in Google Scholar

34. Hoffmann U, Moselewski F, Nieman K, et al. Noninvasive assessment of plaque morphology and composition in culprit and stable lesions in acute coronary syndrome and stable lesions in stable angina by multidetector computed tomography. J Am Coll Cardiol. 2006;47:1655-1662.10.1016/j.jacc.2006.01.04116631006Search in Google Scholar