Vulnerable plaque detection: An unrealistic quest or a feasible objective with a clinical value?

Heart

Volumn 102, Issue 8, 2016, Pages 581-589

  Bourantas, Christos V ^a,b   Garcia Garcia, Hector M ^c   Torii, Ryo ^a   Zhang, Yao Jun ^d   Westwood, Mark ^b   Crake, Tom ^b   Serruys, Patrick W ^c,e  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

^b ST BARTHOLOMEW S HOSPITAL   (United Kingdom)

^c ERASMUS MEDICAL CENTER   (Netherlands)

^d NANJING MEDICAL UNIVERSITY   (China)

^e NATIONAL HEART AND LUNG INSTITUTE   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ATHEROSCLEROTIC PLAQUE; CARDIAC IMAGING; COMPUTED TOMOGRAPHIC ANGIOGRAPHY; CORONARY ARTERY ATHEROSCLEROSIS; DIAGNOSTIC IMAGING; DIAGNOSTIC VALUE; HUMAN; INTRAVASCULAR ULTRASOUND; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOPHYSIOLOGY; PATIENT IDENTIFICATION; POSITRON EMISSION TOMOGRAPHY; PREDICTIVE VALUE; PRIORITY JOURNAL; REVIEW; RISK ASSESSMENT; CORONARY ARTERY DISEASE; EVIDENCE BASED MEDICINE; PLAQUE, ATHEROSCLEROTIC; PROCEDURES; PROGNOSIS;

CORONARY ARTERY DISEASE; EVIDENCE-BASED MEDICINE; HUMANS; PLAQUE, ATHEROSCLEROTIC; PROGNOSIS; RISK ASSESSMENT;

EID: 84957899393     PISSN: 13556037     EISSN: 1468201X     Source Type: Journal    
DOI: 10.1136/heartjnl-2015-309060     Document Type: Review

References (50)

1. Conroy RM, Pyorala K, Fitzgerald AP, et al. Estimation of ten-year risk of fatal cardiovascular disease in Europe: the SCORE project. Eur Heart J 2003;24:987-1003.
2. Sano K, Kawasaki M, Ishihara Y, et al. Assessment of vulnerable plaques causing acute coronary syndrome using integrated backscatter intravascular ultrasound. J Am Coll Cardiol 2006;47:734-41.
3. Calvert PA, Obaid DR, O'Sullivan M, et al. Association between IVUS findings and adverse outcomes in patients with coronary artery disease: the VIVA (VH-IVUS in Vulnerable Atherosclerosis) Study. JACC Cardiovasc Imaging 2011;4:894-901.
4. Stone GW, Maehara A, Lansky AJ, et al. A prospective natural-history study of coronary atherosclerosis. N Engl J Med 2011;364:226-35.
5. Stone PH, Saito S, Takahashi S, et al. Prediction of progression of coronary artery disease and clinical outcomes using vascular profiling of endothelial shear stress and arterial plaque characteristics: the PREDICTION Study. Circulation 2012;126:172-81.
6. Arbab-Zadeh A, Fuster V. The myth of the "vulnerable plaque": transitioning from a focus on individual lesions to atherosclerotic disease burden for coronary artery disease risk assessment. J Am Coll Cardiol 2015;65:846-55.
7. Bourantas CV, Garcia-Garcia HM, Diletti R, et al. Early detection and invasive passivation of future culprit lesions: a future potential or an unrealistic pursuit of chimeras? Am Heart J 2013;165:869-81.e4.
8. Farb A, Burke AP, Tang AL, et al. Coronary plaque erosion without rupture into a lipid core. A frequent cause of coronary thrombosis in sudden coronary death. Circulation 1996;93:1354-63.
9. Thim T, Hagensen MK, Wallace-Bradley D, et al. Unreliable assessment of necrotic core by virtual histology intravascular ultrasound in porcine coronary artery disease. Circ Cardiovasc Imaging 2010;3:384-91.
10. Rioufol G, Gilard M, Finet G, et al. Evolution of spontaneous atherosclerotic plaque rupture with medical therapy: long-term follow-up with intravascular ultrasound. Circulation 2004;110:2875-80.
11. Kubo T, Maehara A, Mintz GS, et al. The dynamic nature of coronary artery lesion morphology assessed by serial virtual histology intravascular ultrasound tissue characterization. J Am Coll Cardiol 2010;55:1590-7.
12. Zhao Z, Witzenbichler B, Mintz GS, et al. Dynamic nature of nonculprit coronary artery lesion morphology in STEMI: a serial IVUS analysis from the HORIZONS-AMI trial. JACC Cardiovasc Imaging 2013;6:86-95.
13. Raber L, Taniwaki M, Zaugg S, et al. Effect of high-intensity statin therapy on atherosclerosis in non-infarct-related coronary arteries (IBIS-4): a serial intravascular ultrasonography study. Eur Heart J 2015;36:490-500.
14. Diletti R, Garcia-Garcia HM, Gomez-Lara J, et al. Assessment of coronary atherosclerosis progression and regression at bifurcations using combined IVUS and OCT. JACC Cardiovasc Imaging 2011;4:774-80.
15. Obaid DR, Calvert PA, McNab D, et al. Identification of coronary plaque sub-types using virtual histology intravascular ultrasound is affected by inter-observer variability and differences in plaque definitions. Circ Cardiovasc Imaging 2012;5:86-93.
16. Tian J, Ren X, Vergallo R, et al. Distinct morphological features of ruptured culprit plaque for acute coronary events compared to those with silent rupture and thin-cap fibroatheroma: a combined optical coherence tomography and intravascular ultrasound study. J Am Coll Cardiol 2014;63:2209-16.
17. Fujii K, Kobayashi Y, Mintz GS, et al. Intravascular ultrasound assessment of ulcerated ruptured plaques: a comparison of culprit and nonculprit lesions of patients with acute coronary syndromes and lesions in patients without acute coronary syndromes. Circulation 2003;108:2473-8.
18. Tian J, Dauerman H, Toma C, et al. Prevalence and characteristics of TCFA and degree of coronary artery stenosis: an OCT, IVUS, and angiographic study. J Am Coll Cardiol 2014;64:672-80.
19. Ambrose JA, Tannenbaum MA, Alexopoulos D, et al. Angiographic progression of coronary artery disease and the development of myocardial infarction. J Am Coll Cardiol 1988;12:56-62.
20. Voros S, Rinehart S, Qian Z, et al. Prospective validation of standardized, 3-dimensional, quantitative coronary computed tomographic plaque measurements using radiofrequency backscatter intravascular ultrasound as reference standard in intermediate coronary arterial lesions: results from the ATLANTA (assessment of tissue characteristics, lesion morphology, and hemodynamics by angiography with fractional flow reserve, intravascular ultrasound and virtual histology, and noninvasive computed tomography in atherosclerotic plaques) I study. JACC Cardiovasc Interv 2011;4:198-208.
21. Hadamitzky M, Taubert S, Deseive S, et al. Prognostic value of coronary computed tomography angiography during 5 years of follow-up in patients with suspected coronary artery disease. Eur Heart J 2013;34:3277-85.
22. Versteylen MO, Kietselaer BL, Dagnelie PC, et al. Additive value of semiautomated quantification of coronary artery disease using cardiac computed tomographic angiography to predict future acute coronary syndrome. J Am Coll Cardiol 2013;61:2296-305.
23. Mushtaq S, De Araujo Goncalves P, Garcia-Garcia HM, et al. Long-term prognostic effect of coronary atherosclerotic burden: validation of the computed tomography-Leaman score. Circ Cardiovasc Imaging 2015;8:e002332.
24. Maurovich-Horvat P, Schlett CL, Alkadhi H, et al. The napkin-ring sign indicates advanced atherosclerotic lesions in coronary CT angiography. JACC Cardiovasc Imaging 2012;5:1243-52.
25. Otsuka K, Fukuda S, Tanaka A, et al. Napkin-ring sign on coronary CT angiography for the prediction of acute coronary syndrome. JACC Cardiovasc Imaging 2013;6:448-57.
26. Dedic A, Kurata A, Lubbers M, et al. Prognostic implications of non-culprit plaques in acute coronary syndrome: non-invasive assessment with coronary CT angiography. Eur Heart J Cardiovasc Imaging 2014;15:1231-7.
27. Garg S, Serruys PW, Silber S, et al. The prognostic utility of the SYNTAX score on 1-year outcomes after revascularization with zotarolimus- and everolimus-eluting stents: a substudy of the RESOLUTE All Comers Trial. JACC Cardiovasc Interv 2011;4:432-41.
28. Bourantas CV, Garcia-Garcia HM, Naka KK, et al. Hybrid intravascular imaging: current applications and prospective potential in the study of coronary atherosclerosis. J Am Coll Cardiol 2013;61:1369-78.
29. Madder RD, Husaini M, Davis AT, et al. Detection by near-infrared spectroscopy of large lipid cores at culprit sites in patients with non-st-segment elevation myocardial infarction and unstable angina. Catheter Cardiovasc Interv 2015;86:1014-21.
30. Madder RD, Goldstein JA, Madden SP, et al. Detection by near-infrared spectroscopy of large lipid core plaques at culprit sites in patients with acute ST-segment elevation myocardial infarction. JACC Cardiovasc Interv 2013;6:838-46.
31. Rogers IS, Nasir K, Figueroa AL, et al. Feasibility of FDG imaging of the coronary arteries: comparison between acute coronary syndrome and stable angina. JACC Cardiovasc Imaging 2010;3:388-97.
32. Joshi NV, Vesey AT, Williams MC, et al. 18F-fluoride positron emission tomography for identification of ruptured and high-risk coronary atherosclerotic plaques: a prospective clinical trial. Lancet 2014;383:705-13.
33. Bourantas CV, Papadopoulou SL, Serruys PW, et al. Noninvasive prediction of atherosclerotic progression: The PROSPECT-MSCT study. JACC Cardiovasc Imaging 2015 Sep. 2.
34. Smyth SS, Monroe DM III, Wysokinski WE, et al. Platelet activation and its patient-specific consequences. Thromb Res 2008;122:435-41.
35. Hadamitzky M, Achenbach S, Al-Mallah M, et al. Optimized prognostic score for coronary computed tomographic angiography: results from the CONFIRM registry (COronary CT Angiography EvaluatioN For Clinical Outcomes: an InteRnational Multicenter Registry). J Am Coll Cardiol 2013;62:468-76.
36. Motoyama S, Ito H, Sarai M, et al. Plaque characterization by coronary computed tomography angiography and the likelihood of acute coronary events in mid-term follow-up. J Am Coll Cardiol 2015;66:337-46.
37. Motoyama S, Sarai M, Harigaya H, et al. Computed tomographic angiography characteristics of atherosclerotic plaques subsequently resulting in acute coronary syndrome. J Am Coll Cardiol 2009;54:49-57.
38. Oemrawsingh RM, Cheng JM, Garcia-Garcia HM, et al. Near-infrared spectroscopy predicts cardiovascular outcome in patients with coronary artery disease. J Am Coll Cardiol 2014;64:2510-8.
39. Cheng JM, Garcia-Garcia HM, de Boer SP, et al. In vivo detection of high-risk coronary plaques by radiofrequency intravascular ultrasound and cardiovascular outcome: results of the ATHEROREMO-IVUS study. Eur Heart J 2014;35:639-47.
40. Battes LC, Cheng JM, Oemrawsingh RM, et al. Circulating cytokines in relation to the extent and composition of coronary atherosclerosis: results from the ATHEROREMO-IVUS study. Atherosclerosis 2014;236:18-24.
41. Baber U, Mehran R, Sartori S, et al. Prevalence, impact, and predictive value of detecting subclinical coronary and carotid atherosclerosis in asymptomatic adults: the BioImage study. J Am Coll Cardiol 2015;65:1065-74.
42. Baumann S, Wang R, Schoepf UJ, et al. Coronary CT angiography-derived fractional flow reserve correlated with invasive fractional flow reserve measurements-initial experience with a novel physician-driven algorithm. Eur Radiol 2015;25:1201-7.
43. Muntendam P, McCall C, Sanz J, et al. The BioImage Study: novel approaches to risk assessment in the primary prevention of atherosclerotic cardiovascular disease-study design and objectives. Am Heart J 2010;160:49-57.e1.
44. Wallentin L, Becker RC, Budaj A, et al. Ticagrelor versus clopidogrel in patients with acute coronary syndromes. N Engl J Med 2009;361:1045-57.
45. Bourantas CV, Garcia-Garcia HM, Farooq V, et al. Clinical and angiographic characteristics of patients likely to have vulnerable plaques: analysis from the PROSPECT study. JACC Cardiovasc Imaging 2013;6:1263-72.
46. Bonaca MP, Bhatt DL, Cohen M, et al. Long-term use of ticagrelor in patients with prior myocardial infarction. N Engl J Med 2015;372:1791-800.
47. Ridker PM, Lüscher TF. Anti-inflammatory therapies for cardiovascular disease. Eur Heart J 2014;35:1782-91.
48. Duivenvoorden R, Tang J, Cormode DP, et al. A statin-loaded reconstituted high-density lipoprotein nanoparticle inhibits atherosclerotic plaque inflammation. Nat Commun 2014;5:3065.
49. Kawata H, Uesugi Y, Soeda T, et al. A new drug delivery system for intravenous coronary thrombolysis with thrombus targeting and stealth activity recoverable by ultrasound. J Am Coll Cardiol 2012;60:2550-7.
50. Sawada T, Shite J, Garcia-Garcia HM, et al. Feasibility of combined use of intravascular ultrasound radiofrequency data analysis and optical coherence tomography for detecting thin-cap fibroatheroma. Eur Heart J 2008;29:1136-46.