Quantification of myocardial blood flow by adenosine-stress CT perfusion imaging in pigs during various degrees of stenosis correlates well with coronary artery blood flow and fractional flow reserve

European Heart Journal Cardiovascular Imaging

Volumn 14, Issue 4, 2013, Pages 331-338

  Rossi, Alexia ^a   Uitterdijk, André ^a   Dijkshoorn, Marcel ^a   Klotz, Ernst ^b   Dharampal, Anoeshka ^a   Van Straten, Marcel ^a   Van Der Giessen, Wim J ^a   Mollet, Nico ^a   Van Geuns, Robert Jan ^a   Krestin, Gabriel P ^a   Duncker, Dirk J ^a   De Feyter, Pim J ^a   Merkus, Daphne ^a  

^a ERASMUS MEDICAL CENTER   (Netherlands)

^b SIEMENS AG   (Germany)

Author keywords

Cardiac imaging; Computed tomography (CT); Fractional flow reserve; Myocardial blood flow; Perfusion imaging

Indexed keywords

ADENOSINE;

ANIMAL EXPERIMENT; ANIMAL MODEL; AORTA PRESSURE; ARTICLE; COMPARATIVE STUDY; COMPUTED TOMOGRAPHY SCANNER; COMPUTER ASSISTED TOMOGRAPHY; CORONARY ARTERY BLOOD FLOW; CORONARY ARTERY OBSTRUCTION; CORONARY ARTERY PRESSURE; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; DISEASE SEVERITY; DUAL SOURCE COMPUTER ASSISTED TOMOGRAPHY; FRACTIONAL FLOW RESERVE; HEART MUSCLE BLOOD FLOW; MYOCARDIAL PERFUSION IMAGING; NONHUMAN; PRIORITY JOURNAL; STANDARD; SWINE;

ADENOSINE; ANIMALS; BLOOD FLOW VELOCITY; CORONARY ANGIOGRAPHY; CORONARY CIRCULATION; CORONARY STENOSIS; DISEASE MODELS, ANIMAL; EXERCISE TEST; FRACTIONAL FLOW RESERVE, MYOCARDIAL; IMAGING, THREE-DIMENSIONAL; MYOCARDIAL PERFUSION IMAGING; RANDOM ALLOCATION; SENSITIVITY AND SPECIFICITY; SEVERITY OF ILLNESS INDEX; SWINE; TOMOGRAPHY, X-RAY COMPUTED;

EID: 84875189351     PISSN: 20472404     EISSN: None     Source Type: Journal    
DOI: 10.1093/ehjci/jes150     Document Type: Article

References (32)

1. Fox K, Garcia MA, Ardissino D, Buszman P, Camici PG, Crea F et al. Guidelines on the management of stable angina pectoris: executive summary: The Task Force on the Management of Stable Angina Pectoris of the European Society of Cardiology. Eur Heart J 2006;27:1341-81.
2. Shaw LJ, Berman DS, Maron DJ, Mancini GB, Hayes SW, Hartigan PM et al. Optimal medical therapy with or without percutaneous coronary intervention to reduce ischemic burden: results from the Clinical Outcomes Utilizing Revascularization and Aggressive Drug Evaluation (COURAGE) trial nuclear substudy. Circulation 2008;117:1283-91.
3. Hachamovitch R, Hayes SW, Friedman JD, Cohen I, Berman DS. Comparison of the short-term survival benefit associated with revascularization compared with medical therapy in patients with no prior coronary artery disease undergoing stress myocardial perfusion single photon emission computed tomography. Circulation 2003;107:2900-7.
4. Boden WE, O'Rourke RA, Teo KK, Hartigan PM, Maron DJ, Kostuk WJ et al. Optimal medical therapy with or without PCI for stable coronary disease. N Engl J Med 2007;356:1503-16.
5. Legalery P, Schiele F, Seronde MF, Meneveau N, Wei H, Didier K et al. One-year outcome of patients submitted to routine fractional flow reserve assessment to determine the need for angioplasty. Eur Heart J 2005;26:2623-9.
6. Pijls NH, van Schaardenburgh P, Manoharan G, Boersma E, Bech JW, van't Veer M et al. Percutaneous coronary intervention of functionally nonsignificant stenosis: 5-year follow-up of the DEFER Study. J Am Coll Cardiol 2007;49:2105-11.
7. Tonino PA, De Bruyne B, Pijls NH, Siebert U, Ikeno F, van' t Veer M et al. Fractional flow reserve versus angiography for guiding percutaneous coronary intervention. N Engl J Med 2009;360:213-24.
8. Pijls NH, Fearon WF, Tonino PA, Siebert U, Ikeno F, Bornschein B et al. Fractional flow reserve versus angiography for guiding percutaneous coronary intervention in patients with multivessel coronary artery disease: 2-year follow-up of the FAME (Fractional Flow Reserve Versus Angiography for Multivessel Evaluation) study. J Am Coll Cardiol 2010;56:177-84.
9. Budoff MJ, Dowe D, Jollis JG, Gitter M, Sutherland J, Halamert E et al. 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 2008;52: 1724-32.
10. Meijboom WB, Meijs MF, Schuijf JD, Cramer MJ, Mollet NR, van Mieghem CA et al. Diagnostic accuracy of 64-slice computed tomography coronary angiography: a prospective, multicenter, multivendor study. J Am Coll Cardiol 2008;52: 2135-44.
11. Miller JM, Rochitte CE, Dewey M, Arbab-Zadeh A, Niinuma H, Gottlieb I et al. Diagnostic performance of coronary angiography by 64-row CT. N Engl J Med 2008;359:2324-36.
12. Meijboom WB, Van Mieghem CA, van Pelt N, Weustink A, Pugliese F, Mollet NR et al. Comprehensive assessment of coronary artery stenoses: computed tomography coronary angiography versus conventional coronary angiography and correlation with fractional flow reserve in patients with stable angina. J Am Coll Cardiol 2008;52:636-43.
13. Sarno G, Decraemer I, Vanhoenacker PK, De Bruyne B, Hamilos M, Cuisset T et al. On the inappropriateness of noninvasive multidetector computed tomography coronary angiography to trigger coronary revascularization: a comparison with invasive angiography. JACC Cardiovasc Interv 2009;2:550-7.
14. Mahnken AH, Klotz E, Pietsch H, Schmidt B, Allmendinger T, Haberland U et al. Quantitative whole heart stress perfusion CT imaging as noninvasive assessment of hemodynamics in coronary artery stenosis: preliminary animal experience. Invest Radiol 2010;45:298-305.
15. George RT, Jerosch-Herold M, Silva C, Kitagawa K, Bluemke DA, Lima JA et al. Quantification of myocardial perfusion using dynamic 64-detector computed tomography. Invest Radiol 2007;42:815-22.
16. Sorop O, Merkus D, de Beer VJ, Houweling B, Pistea A, McFalls EO et al. Functional and structural adaptations of coronary microvessels distal to a chronic coronary artery stenosis. Circ Res 2008;102:795-803.
17. Duncker DJ, Stubenitsky R, Verdouw PD. Autonomic control of vasomotion in the porcine coronary circulation during treadmill exercise: evidence for feedforward beta-adrenergic control. Circ Res 1998;82:1312-22.
18. Bamberg F, Klotz E, Flohr T, Becker A, Becker CR, Schmidt B et al. Dynamic myocardial stress perfusion imaging using fast dual-source CT with alternating table positions: initial experience. Eur Radiol 2010;20:1168-73.
19. Blankstein R, Shturman LD, Rogers IS, Rocha-Filho JA, Okada DR, Sarwar A et al. Adenosine-induced stress myocardial perfusion imaging using dual-source cardiac computed tomography. J Am Coll Cardiol 2009;54:1072-84.
20. Cury RC, Magalhaes TA, Borges AC, Shiozaki AA, Lemos PA, Junior JS et al. Dipyridamole stress and rest myocardial perfusion by 64-detector row computed tomography in patients with suspected coronary artery disease. Am J Cardiol 2010;106:310-5.
21. Rumberger JA, Feiring AJ, Lipton MJ, Higgins CB, Ell SR, Marcus ML. Use of ultrafast computed tomography to quantitate regional myocardial perfusion: a preliminary report. J Am Coll Cardiol 1987;9:59-69.
22. Bell MR, Lerman LO, Rumberger JA. Validation of minimally invasive measurement of myocardial perfusion using electron beam computed tomography and application in human volunteers. Heart 1999;81:628-35.
23. Flohr TG, Klotz E, Allmendinger T, Raupach R, Bruder H, Schmidt B. Pushing the envelope: new computed tomography techniques for cardiothoracic imaging. J Thorac Imaging 2010;25:100-11.
24. Bamberg F, Becker A, Schwarz F, Marcus RP, Greif M, von Ziegler F et al. Detection of hemodynamically significant coronary artery stenosis: incremental diagnostic value of dynamic CT-based myocardial perfusion imaging. Radiology 2011;260: 689-98.
25. Bamberg F, Hinkel R, Schwarz F, Sandner TA, Baloch E, Marcus R et al. Accuracy of dynamic computed tomography adenosine stress myocardial perfusion imaging in estimating myocardial blood flow at various degrees of coronary artery stenosis using a porcine animal model. Invest Radiol 2012;47:71-7.
26. Ko BS, Cameron JD, Meredith IT, Leung M, Antonis PR, Nasis A et al. Computed tomography stress myocardial perfusion imaging in patients considered for revascularization: a comparison with fractional flow reserve. Eur Heart J 2012;33: 67-77.
27. George RT, Arbab-Zadeh A, Cerci RJ, Vavere AL, Kitagawa K, Dewey M et al. Diagnostic performance of combined noninvasive coronary angiography and myocardial perfusion imaging using 320-MDCT: the CT angiography and perfusion methods of the CORE320 multicenter multinational diagnostic study. AJR Am J Roentgenol 2011;197:829-37.
28. George RT, Arbab-Zadeh A, Miller JM, Vavere AL, Bengel FM, Lardo AC et al. Computed tomography myocardial perfusion imaging with 320-row detector computed tomography accurately detects myocardial ischemia in patients with obstructive coronary artery disease. Circ Cardiovasc Imaging 2012;5:333-40.
29. Kitagawa K, George RT, Arbab-Zadeh A, Lima JA, Lardo AC. Characterization and correction of beam-hardening artifacts during dynamic volume CT assessment of myocardial perfusion. Radiology 2010;256:111-8.
30. Bastarrika G, Ramos-Duran L, Rosenblum MA, Kang DK, Rowe GW, Schoepf UJ. Adenosine-stress dynamic myocardial CT perfusion imaging: initial clinical experience. Invest Radiol 2010;45:306-13.
31. Ho KT, Chua KC, Klotz E, Panknin C. Stress and rest dynamic myocardial perfusion imaging by evaluation of complete time-attenuation curves with dual-source CT. JACC Cardiovasc Imaging 2010;3:811-20.
32. George RT, Arbab-Zadeh A, Miller JM, Kitagawa K, Chang HJ, Bluemke DA et al. 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 2009;2:174-82.