Clinical and technical considerations for stress myocardial perfusion imaging with multidetector computed tomography

Journal of Cardiovascular Computed Tomography

Volumn 3, Issue SUPPL.2, 2009, Pages

  Bragadeesh, Thanjavur K M ^a   Shapiro, Michael D ^a,b  

^a OREGON HEALTH AND SCIENCE UNIVERSITY   (United States)

^b OREGON HEALTH AND SCIENCE UNIVERSITY   (United States)

Author keywords

Multidetector compute tomography; Stress myocardial perfusion imaging

Indexed keywords

ADENOSINE; BETA ADRENERGIC RECEPTOR BLOCKING AGENT; IODINATED CONTRAST MEDIUM; NITRIC ACID DERIVATIVE; VASODILATOR AGENT;

ANGIOCARDIOGRAPHY; ARTIFACT; CARDIOVASCULAR SYSTEM EXAMINATION; CLINICAL ASSESSMENT; COMPUTED TOMOGRAPHIC ANGIOGRAPHY; CORONARY ARTERY OBSTRUCTION; DIAGNOSTIC ACCURACY; DRUG ANTAGONISM; DRUG RECEPTOR BINDING; HUMAN; IMAGE ANALYSIS; IMAGE ENHANCEMENT; IMAGE PROCESSING; IMAGE RECONSTRUCTION; IMAGING SYSTEM; MULTIDETECTOR COMPUTED TOMOGRAPHY; PRIORITY JOURNAL; REVIEW; SENSITIVITY AND SPECIFICITY; SPIRAL COMPUTER ASSISTED TOMOGRAPHY; STRESS MYOCARDIAL PERFUSION IMAGING;

CORONARY ANGIOGRAPHY; EXERCISE TEST; HUMANS; IMAGE ENHANCEMENT; PERFUSION IMAGING; SENSITIVITY AND SPECIFICITY; TECHNOLOGY ASSESSMENT, BIOMEDICAL; TOMOGRAPHY, X-RAY COMPUTED;

EID: 72049086170     PISSN: 19345925     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jcct.2009.10.009     Document Type: Review

References (39)

1. Lloyd-Jones D., Adams R., Carnethon M., De Simone G., Ferguson T.B., Flegal K., Ford E., Furie K., Go A., Greenlund K., Haase N., Hailpern S., Ho M., Howard V., Kissela B., Kittner S., Lackland D., Lisabeth L., Marelli A., McDermott M., Meigs J., Mozaffarian D., Nichol G., O'Donnell C., Roger V., Rosamond W., Sacco R., Sorlie P., Stafford R., Steinberger J., Thom T., Wasserthiel-Smoller S., Wong N., Wylie-Rosett J., and Hong Y. Heart disease and stroke statistics-2009 update: a report from the American Heart Association Statistics Committee and Stroke Statistics Subcommittee. Circulation 119 (2009) e21-181
2. Marcassa C., Bax J.J., Bengel F., Hesse B., Petersen C.L., Reyes E., and Underwood R. Clinical value, cost-effectiveness, and safety of myocardial perfusion scintigraphy: a position statement. Eur Heart J 29 (2008) 557-563
3. Iskandrian A.S., Chae S.C., Heo J., Stanberry C.D., Wasserleben V., and Cave V. Independent and incremental prognostic value of exercise single-photon emission computed tomographic (SPECT) thallium imaging in coronary artery disease. J Am Coll Cardiol 22 (1993) 665-670
4. Hachamovitch R., Berman D.S., Shaw L.J., Kiat H., Cohen I., Cabico J.A., Friedman J., and Diamond G.A. Incremental prognostic value of myocardial perfusion single photon emission computed tomography for the prediction of cardiac death: differential stratification for risk of cardiac death and myocardial infarction. Circulation 97 (1998) 535-543
5. Sharir T., Germano G., Kavanagh P.B., Lai S., Cohen I., Lewin H.C., Friedman J.D., Zellweger M.J., and Berman D.S. Incremental prognostic value of post-stress left ventricular ejection fraction and volume by gated myocardial perfusion single photon emission computed tomography. Circulation 100 (1999) 1035-1042
6. Sharples L., Hughes V., Crean A., Dyer M., Buxton M., Goldsmith K., and Stone D. Cost-effectiveness of functional cardiac testing in the diagnosis and management of coronary artery disease: a randomised controlled trial. The CECaT trial. Health Technol Assess (2007) 11 iii-iv, ix-115
7. Miller J.M., Rochitte C.E., Dewey M., Arbab-Zadeh A., Niinuma H., Gottlieb I., Paul N., Clouse M.E., Shapiro E.P., Hoe J., Lardo A.C., Bush D.E., de Roos A., Cox C., Brinker J., and Lima J.A. Diagnostic performance of coronary angiography by 64-row CT. N Engl J Med 359 (2008) 2324-2336
8. Meijboom W.B., Weustink A.C., Pugliese F., van Mieghem C.A., Mollet N.R., van Pelt N., Cademartiri F., Nieman K., Vourvouri E., Regar E., Krestin G.P., and de Feyter P.J. Comparison of diagnostic accuracy of 64-slice computed tomography coronary angiography in women versus men with angina pectoris. Am J Cardiol 100 (2007) 1532-1537
9. Nikolaou K., Knez A., Rist C., Wintersperger B.J., Leber A., Johnson T., Reiser M.F., and Becker C.R. Accuracy of 64-MDCT in the diagnosis of ischemic heart disease. AJR Am J Roentgenol 187 (2006) 111-117
10. Budoff M.J., Dowe D., Jollis J.G., Gitter M., Sutherland J., Halamert E., Scherer M., Bellinger R., Martin A., Benton R., Delago A., and Min J.K. Diagnostic performance of 64-multidetector row coronary computed tomographic angiography for evaluation of coronary artery stenosis in individuals without known coronary artery disease: results from the prospective multicenter ACCURACY (Assessment by Coronary Computed Tomographic Angiography of Individuals Undergoing Invasive Coronary Angiography) trial. J Am Coll Cardiol 52 (2008) 1724-1732
11. Rumberger J.A. Coronary computed tomography angiography: our time has come, but there are miles to go before we sleep. J Am Coll Cardiol 52 (2008) 1733-1735
12. Hacker M., Jakobs T., Matthiesen F., Vollmar C., Nikolaou K., Becker C., Knez A., Pfluger T., Reiser M., Hahn K., and Tiling R. Comparison of spiral multidetector CT angiography and myocardial perfusion imaging in the noninvasive detection of functionally relevant coronary artery lesions: first clinical experiences. J Nucl Med 46 (2005) 1294-1300
13. Schuijf J.D., Bax J.J., Jukema J.W., Lamb H.J., Dirksen M.S., van der Wall E.E., and de Roos A. Coronary stent imaging with multidetector row computed tomography. Int J Cardiovasc Imaging 20 (2004) 341-344
14. Meijboom W.B., van Mieghem C.A., Mollet N.R., Pugliese F., Weustink A.C., van Pelt N., Cademartiri F., Nieman K., Boersma E., de Jaegere P., Krestin G.P., and de Feyter P.J. 64-slice computed tomography coronary angiography in patients with high, intermediate, or low pretest probability of significant coronary artery disease. J Am Coll Cardiol 50 (2007) 1469-1475
15. Rispler S., Keidar Z., Ghersin E., Roguin A., Soil A., Dragu R., Litmanovich D., Frenkel A., Aronson D., Engel A., Beyar R., and Israel O. Integrated single-photon emission computed tomography and computed tomography coronary angiography for the assessment of hemodynamically significant coronary artery lesions. J Am Coll Cardiol 49 (2007) 1059-1067
16. Higgins C.B., Sovak M., Schmidt W., and Siemers P.T. Uptake of contrast materials by experimental acute myocardial infarctions: a preliminary report. Invest Radiol 13 (1978) 337-339
17. Higgins C.B., Siemers P.T., Schmidt W., and Newell J.D. Evaluation of myocardial ischemic damage of various ages by computerized transmission tomography. Time-dependent effects of contrast material. Circulation 60 (1979) 284-291
18. Hoffmann U., Millea R., Enzweiler C., Ferencik M., Gulick S., Titus J., Achenbach S., Kwait D., Sosnovik D., and Brady T.J. Acute myocardial infarction: contrast-enhanced multi-detector row CT in a porcine model. Radiology 231 (2004) 697-701
19. Mahnken A.H., Bruners P., Katoh M., Wildberger J.E., Gunther R.W., and Buecker A. Dynamic multi-section CT imaging in acute myocardial infarction: preliminary animal experience. Eur Radiol 16 (2006) 746-752
20. Nieman K., Cury R.C., Ferencik M., Nomura C.H., Abbara S., Hoffmann U., Gold H.K., Jang I.K., and Brady T.J. Differentiation of recent and chronic myocardial infarction by cardiac computed tomography. Am J Cardiol 98 (2006) 303-308
21. George R.T., Silva C., Cordeiro M.A., DiPaula A., Thompson D.R., McCarthy W.F., Ichihara T., Lima J.A., and Lardo A.C. Multidetector computed tomography myocardial perfusion imaging during adenosine stress. J Am Coll Cardiol 48 (2006) 153-160
22. George R.T., Jerosch-Herold M., Silva C., Kitagawa K., Bluemke D.A., Lima J.A., and Lardo A.C. Quantification of myocardial perfusion using dynamic 64-detector computed tomography. Invest Radiol 42 (2007) 815-822
23. George R.T., Arbab-Zadeh A., Miller J.M., Kitagawa K., Chang H.-J., Bluemke D.A., Becker L., Yousuf O., Texter J., Lardo A.C., and Lima J.A.C. Adenosine stress 64- and 256-row detector computed tomography angiography and perfusion imaging: a pilot study evaluating the transmural extent of perfusion abnormalities to predict atherosclerosis causing myocardial ischemia. Circ Cardiovasc Imaging 2 (2009) 174-182
24. De Bruyne B., Hersbach F., Pijls N.H., Bartunek J., Bech J.W., Heyndrickx G.R., Gould K.L., and Wijns W. Abnormal epicardial coronary resistance in patients with diffuse atherosclerosis but "Normal" coronary angiography. Circulation 104 (2001) 2401-2406
25. Blankstein R., Shturman L.D., Rogers I.S., Rocha-Filho J.A., Okada D.R., Sarwar A., Soni A.V., Bezerra H., Ghoshhajra B.B., Petranovic M., Loureiro R., Feuchtner G., Gewitz H., Hoffmann U., Mamuya W.S., Brady T.J., and Cury R.C. Adenosine induced stress myocardial perfusion imaging using dual source cardiac computed tomography. J Am Coll Cardiol 54 (2009) 1072-1084
26. Gerson M.C. Reduction in dipyridamole-induced single-photon emission computed tomography myocardial defect size by beta-blockers: time to re-examine the patient preparation protocol for pharmacologic stress testing. J Am Coll Cardiol 42 (2003) 1484-1486
27. Koepfli P., Wyss C.A., Namdar M., Klainguti M., von Schulthess G.K., Luscher T.F., and Kaufmann P.A. Beta-adrenergic blockade and myocardial perfusion in coronary artery disease: differential effects in stenotic versus remote myocardial segments. J Nucl Med 45 (2004) 1626-1631
28. Belardinelli L., Linden J., and Berne R.M. The cardiac effects of adenosine. Prog Cardiovasc Dis 32 (1989) 73-97
29. Riou L.M., Ruiz M., Rieger J.M., Macdonald T.L., Watson D.D., Linden J., Beller G.A., and Glover D.K. Influence of propranolol, enalaprilat, verapamil, and caffeine on adenosine A(2A)-receptor-mediated coronary vasodilation. J Am Coll Cardiol 40 (2002) 1687-1694
30. Decramer I., Vanhoenacker P.K., Sarno G., Van Hoe L., Bladt O., Wijns W., and Parizel P.M. Effects of sublingual nitroglycerin on coronary lumen diameter and number of visualized septal branches on 64-MDCT angiography. AJR Am J Roentgenol 190 (2008) 219-225
31. Brown B.G., Bolson E., Petersen R.B., Pierce C.D., and Dodge H.T. The mechanisms of nitroglycerin action: stenosis vasodilatation as a major component of the drug response. Circulation 64 (1981) 1089-1097
32. Gerber T.C., Carr J.J., Arai A.E., Dixon R.L., Ferrari V.A., Gomes A.S., Heller G.V., McCollough C.H., McNitt-Gray M.F., Mettler F.A., Mieres J.H., Morin R.L., and Yester M.V. Ionizing radiation in cardiac imaging: a science advisory from the American Heart Association Committee on Cardiac Imaging of the Council on Clinical Cardiology and Committee on Cardiovascular Imaging and Intervention of the Council on Cardiovascular Radiology and Intervention. Circulation 119 (2009) 1056-1065
33. Earls J.P., Berman E.L., Urban B.A., Curry C.A., Lane J.L., Jennings R.S., McCulloch C.C., Hsieh J., and Londt J.H. Prospectively gated transverse coronary CT angiography versus retrospectively gated helical technique: improved image quality and reduced radiation dose. Radiology 246 (2008) 742-753
34. Greenberg N.L., Johnson P.C., Manning M., Popovic Z., Salazer H., and Garcia M.J. Effects of reconstruction parameters on cardiac CT angiography image quality induced stress myocardial perfusion imaging using dual source cardiac computed tomography. Comput Cardiol 30 (2003) 757-770
35. Winter J. Edge enhancement of computed tomograms by digital unsharp masking. Radiology 135 (1980) 234-235
36. Kovasznay L.S.G., and Joseph H.M. Image processing. Proc IRE 43 (1955) 560-570
37. Jayaweera A.R., Wei K., Coggins M., Bin J.P., Goodman C., and Kaul S. Role of capillaries in determining CBF reserve: new insights using myocardial contrast echocardiography. Am J Physiol 277 6 Pt 2 (1999) H2363-H2372
38. Kaul S., and Jayaweera A.R. Coronary and myocardial blood volumes: noninvasive tools to assess the coronary microcirculation?. Circulation 96 (1997) 719-724
39. Nagao M., Matsuoka H., Kawakami H., Higashino H., Mochizuki T., Ohshita A., Kohno T., and Shigemi S. Detection of myocardial ischemia using 64-slice MDCT. Circ J 73 (2009) 905-911