Noncalcified atherosclerotic plaque burden at coronary CT angiography: A better predictor of ischemia at stress myocardial perfusion imaging than calcium score and stenosis severity

American Journal of Roentgenology

Volumn 193, Issue 2, 2009, Pages 410-418

  Bauer, Ralf W ^a,b   Thilo, Christian ^a   Chiaramida, Salvatore A ^a   Vogl, Thomas J ^b   Costello, Philip ^a   Schoepf, U Joseph ^a  

^a MEDICAL UNIVERSITY OF SOUTH CAROLINA   (United States)

^b UNIVERSITY HOSPITAL FRANKFURT   (Germany)

Author keywords

Atherosclerosis; Coronary arteries; CT; Myocardial perfusion imaging

Indexed keywords

CALCIUM; IOPAMIDOL; METOPROLOL TARTRATE; TETROFOSMIN TC 99M;

ADOLESCENT; ADULT; AGED; ARTICLE; ATHEROSCLEROTIC PLAQUE; BLOOD VESSEL; BLOOD VESSEL STENOSIS; COMPUTED TOMOGRAPHIC ANGIOGRAPHY; CONTROLLED STUDY; DISEASE SEVERITY; FEMALE; HEART MUSCLE ISCHEMIA; HEART MUSCLE PERFUSION; HUMAN; MAJOR CLINICAL STUDY; MALE; MULTIPLE REGRESSION; PREDICTION; PRIORITY JOURNAL; REST; SENSITIVITY AND SPECIFICITY; SINGLE PHOTON EMISSION COMPUTER TOMOGRAPHY; STENOSIS; STRESS;

ADOLESCENT; ADULT; AGED; AGED, 80 AND OVER; CALCINOSIS; CALCIUM; CARDIAC-GATED SINGLE-PHOTON EMISSION COMPUTER-ASSISTED TOMOGRAPHY; CORONARY ANGIOGRAPHY; CORONARY STENOSIS; EXERCISE TEST; FEMALE; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGE PROCESSING, COMPUTER-ASSISTED; MALE; MIDDLE AGED; MYOCARDIAL PERFUSION IMAGING; PREDICTIVE VALUE OF TESTS; TOMOGRAPHY, X-RAY COMPUTED; YOUNG ADULT;

EID: 68149180574     PISSN: 0361803X     EISSN: None     Source Type: Journal    
DOI: 10.2214/AJR.08.1277     Document Type: Article

References (39)

1. Sciagrà R, Leoncini M. Gated single-photon emission computer tomography. Q J Nucl Med 2005; 49:19-29
2. Sabharwal NK, Lahiri A. Role of myocardial perfusion imaging for risk stratification in suspected or known coronary artery disease. Heart 2003; 89:1291-1297 (Pubitemid 37311087)
3. Berman DS, Hachamovitch R, Shaw LJ, et al. Roles of nuclear cardiology, cardiac computed tomography, and cardiac magnetic resonance: noninvasive risk stratification and a conceptual framework for the selection of noninvasive imaging tests in patients with known or suspected coronary artery disease. J Nucl Med 2006; 47:1107-1118 (Pubitemid 47544906)
4. Ohnesorge BM, Hofmann LK, Flohr TG, Schoepf UJ. CT for imaging coronary artery disease: defining the paradigm for its application. Int J Cardiovasc Imaging 2005; 21:85-104 (Pubitemid 41149233)
5. Ehara M, Surmely JF, Kawai M, et al. Diagnostic accuracy of 64-slice computed tomography for detecting angiographically significant coronary artery stenosis in an unselected consecutive patient population: comparison with conventional invasive angiography. Circ J 2006; 70:564-571
6. Herzog C, Zwerner PL, Doll JR, et al. Significant coronary artery stenosis: comparison on per-patient and per-vessel or per-segment basis at 64-section CT angiography. Radiology 2007; 244:112-120 (Pubitemid 46981964)
7. Leschka S, Alkadhi H, Plass A, et al. Accuracy of MSCT coronary angiography with 64-slice technology: first experience. Eur Heart J 2005; 26:1482-1487 (Pubitemid 41378989)
8. Raff GL, Gallagher MJ, O'Neill WW, Goldstein JA. Diagnostic accuracy of noninvasive coronary angiography using 64-slice spiral computed tomography. J Am Coll Cardiol 2005; 46:552-557 (Pubitemid 41040301)
9. Becker CR, Nikolaou K, Muders M, et al. Ex vivo coronary atherosclerotic plaque characterization with multi-detector-row CT. Eur Radiol 2003; 13:2094-2098 (Pubitemid 37080742)
10. Dey D, Callister T, Slomka P, et al. Computer-aided detection and evaluation of lipid-rich plaque on noncontrast cardiac CT. AJR 2006; 186:S407-S413 (Pubitemid 46105413)
11. Fuster V, Fayad ZA, Moreno PR, Poon M, Corti R, Badimon JJ. Atherothrombosis and high-risk plaque. Part 2. Approaches by noninvasive computed tomography/magnetic resonance imaging. J Am Coll Cardiol 2005; 46:1209-1218 (Pubitemid 41615539)
12. Leber AW, Knez A, Becker A, et al. Visualising noncalcified coronary plaques by CT. Int J Cardiovasc Imaging 2005; 21:55-61
13. Berman DS, Wong ND, Gransar H, et al. Relationship between stress-induced myocardial ischemia and atherosclerosis measured by coronary calcium tomography. J Am Coll Cardiol 2004; 44:923-930 (Pubitemid 39099594)
14. Schuijf JD, Wijns W, Jukema JW, et al. A comparative regional analysis of coronary atherosclerosis and calcium score on multislice CT versus myocardial perfusion on SPECT. J Nucl Med 2006; 47:1749-1755 (Pubitemid 47544996)
15. Huang H, Virmani R, Younis H, Burke A, Kamm R, Lee R. The impact of calcification on the biomechanical stability of atherosclerotic plaques. Circulation 2001; 103:1051-1056 (Pubitemid 32200176)
16. Pasterkamp G, Falk E, Woutman H, Borst C. Techniques characterizing the coronary atherosclerotic plaque: influence on clinical decision making? Am J Cardiol 2000; 36:13-21
17. Scott J. Pathophysiology and biochemistry of cardiovascular disease. Curr Opin Genet Dev 2004; 14:271-279
18. Burke AP, Kolodgie FD, Farb A, et al. Healed plaque ruptures and sudden coronary death: evidence that subclinical rupture has a role in plaque progression. Circulation 2001; 103:934-940 (Pubitemid 32183797)
19. Libby P, Theroux P. Pathophysiology of coronary artery disease. Circulation 2005; 111:3481-3488
20. Virmani R, Kolodgie FD, Burke AP, Farb A, Schwartz SM. Lessons from sudden coronary death: a comprehensive morphological classification scheme for atherosclerotic lesions. Arterioscler Thromb Vasc Biol 2000; 20:1262-1275 (Pubitemid 30262927)
21. Erbel R, Heusch G. Coronary microembolization. J Am Coll Cardiol 2000; 36:22-24
22. Heusch G, Schulz R. Perfusion-contraction match and mismatch. Basic Res Cardiol 2001; 96:1-10
23. Hacker M, Jakobs T, Hack N, et al. Sixty-four slice spiral CT angiography does not predict the functional relevance of coronary artery stenoses in patients with stable angina. Eur J Nucl Mol Imaging 2007; 34:4-10 (Pubitemid 44888826)
24. Agatston AS, Janowitz WR, Hildner FJ, Zusmer NR, Viamonte M, Detrano R. Quantification of coronary artery calcium using ultrafast computed tomography. J Am Coll Cardiol 1990; 15:827-832 (Pubitemid 20101575)
25. Hong C, Becker CR, Schoepf UJ, Ohnesorge B, Bruening R, Reiser M. Coronary artery calcium: absolute quantification in nonenhanced and con trast-enhanced multi-detector row CT studies. Radiology 2002; 223:474-480 (Pubitemid 34454328)
26. Cerqueira MD, Weissmann NJ, Dilsizian V, et al. Standardized myocardial segmentation and nomenclature for tomographic imaging of the heart: a statement for healthcare professionals from the Cardiac Imaging Committee of the Council on Clinical Cardiology of the American Heart Association. J Nucl Cardiol 2002; 9:240-245
27. Estes JM, Quist WC, LoGerfo FW, Costello P. Noninvasive characterization of plaque morphology using helical computed tomography. J Cardiovasc Surg (Torino) 1998; 39:527-534 (Pubitemid 28526005)
28. Horiguchi J, Fujioka C, Kiguchi M, et al. Soft and intermediate plaques in coronary arteries: how accurately can we measure CT attenuation using 64-MDCT? AJR 2007; 189:981-988 (Pubitemid 47479785)
29. Knollmann F, Ducke F, Krist L, et al. Quantification of atherosclerotic coronary plaque components by submillimeter computed tomography. Int J Cardiovasc Imaging 2008; 24:301-310
30. Bruining N, Roelandt JR, Palumbo A, et al. Reproducible coronary plaque quantification by multi slice computed tomography. Catheter Cardiovasc Interv 2007; 69:857-865
31. Ferencik M, Nieman K, Achenbach S. Noncalcified and calcified coronary plaque detection by contrast-enhanced multi-detector computed tomography: a study of interobserver agreement. J Am Coll Cardiol 2006; 47:207-209 (Pubitemid 43005188)
32. Otsuka M, Bruining N, Van Pelt NC, et al. Quantification of coronary plaque by 64-slice computed tomography: a comparison with quantitative intracoronary ultrasound. Invest Radiol 2008; 43:314-321 (Pubitemid 351572208)
33. Sun J, Zhang Z, Lu B, et al. Identification and quantification of coronary atherosclerotic plaques: a comparison of 64-MDCT and intravascular ultrasound. AJR 2008; 190:748-754 (Pubitemid 351304521)
34. Leber AW, Becker A, Knez A, et al. Accuracy of 64-slice computed tomography to classify and quantify plaque volumes in the proximal coronary system: a comparative study using intravascular ultrasound. J Am Coll Cardiol 2006; 47:672-677 (Pubitemid 43170862)
35. Pohle K, Achenbach S, Macneill B, et al. Characterization of non-calcified coronary atherosclerotic plaque by multi-detector row CT: comparison to IVUS. Atherosclerosis 2007; 190:174-180 (Pubitemid 44908312)
36. Beanlands RS, Muzik O, Melon O, et al. Noninvasive quantification of regional myocardial flow reserve in patients with coronary atherosclerosis using nitrogen-13 ammonia positron emission tomography: determination of extent of altered vascular reactivity. J Am Coll Cardiol 1995; 26:1465-1475
37. Muzik O, Duvernoy C, Beanlands RS, et al. Assessment of diagnostic performance of quantitative flow measurements in normal subjects and patients with angiographically documented coronary artery disease by means of nitrogen-13 ammonia and positron emission tomography. J Am Coll Cardiol 1998; 31:534-540 (Pubitemid 28144117)
38. Schindler TH, Nitzsche E, Magosaki N, et al. Regional myocardial perfusion defect during exercise, as assessed by three dimensional integration of morphology and function, in relation to abnormal endothelium dependent vasoreactivity of the coronary microcirculation. Heart 2003; 89:517-526 (Pubitemid 36520801)
39. Sharrett AR, Ding J, Criqui MH, et al. Smoking, diabetes, and blood cholesterol differ in their associations with subclinical atherosclerosis: the Multiethnic Study of Atherosclerosis (MESA). Atherosclerosis 2006; 186:441-447 (Pubitemid 44269074)