Adenosine-stress dynamic myocardial CT perfusion imaging: Initial clinical experience

Investigative Radiology

Volumn 45, Issue 6, 2010, Pages 306-313

  Bastarrika, Gorka ^a,b   Ramos Duran, Luis ^a   Rosenblum, Michael A ^a   Kang, Doo Kyoung ^a,c   Rowe, Garrett W ^a   Schoepf, U Joseph ^a  

^a MEDICAL UNIVERSITY OF SOUTH CAROLINA   (United States)

^b UNIVERSITY OF NAVARRA   (Spain)

^c Ajou University School of Medicine   (South Korea)

Author keywords

Angiography; Computed tomography; Coronary vessels; Myocardial perfusion

Indexed keywords

ADENOSINE; GADOLINIUM PENTETATE; IOPROMIDE;

ADULT; AGED; ARTICLE; CLINICAL ARTICLE; COMPUTED TOMOGRAPHIC ANGIOGRAPHY; CONTRAST ENHANCEMENT; FEMALE; HEART MUSCLE BLOOD FLOW; HEART MUSCLE ISCHEMIA; HEART MUSCLE PERFUSION; HUMAN; INTERMETHOD COMPARISON; MALE; NUCLEAR MAGNETIC RESONANCE IMAGING; PHARMACOLOGIC STRESS TESTING; PRIORITY JOURNAL; QUALITATIVE ANALYSIS; QUANTITATIVE ANALYSIS; SENSITIVITY AND SPECIFICITY;

EID: 77952532043     PISSN: 00209996     EISSN: 15360210     Source Type: Journal    
DOI: 10.1097/RLI.0b013e3181dfa2f2     Document Type: Article

References (37)

1. Hendel RC, Berman DS, Di Carli MF, et al. ACCF/ASNC/ACR/AHA/ASE/SCCT/ SCMR/SNM 2009 appropriate use criteria for cardiac radionu-clide imaging: a report of the American College of Cardiology Foundation Appropriate Use Criteria Task Force, the American Society of Nuclear Cardiology, the American College of Radiology, the American Heart Association, the American Society of Echocardiography, the Society of Cardiovascular Computed Tomography, the Society for Cardiovascular Magnetic Resonance, and the Society of Nuclear Medicine: endorsed by the American College of Emergency Physicians. Circulation. 2009;119:e561-e587.
2. Hendel RC, Patel MR, Kramer CM, et al. ACCF/ACR/SCCT/SCMR/ASNC/NASCI/ SCAI/SIR 2006 appropriateness criteria for cardiac computed tomography and cardiac magnetic resonance imaging: a report of the American College of Cardiology Foundation Quality Strategic Directions Committee Appropriateness Criteria Working Group, American College of Radiology, Society of Cardiovascular Computed Tomography, Society for Cardiovascular Magnetic Resonance, American Society of Nuclear Cardiology, North American Society for Cardiac Imaging, Society for Cardiovascular Angiography and Interventions, and Society of Interventional Radiology. J Am Coll Cardiol. 2006;48:1475-1497.
3. Schwitter J, Wacker CM, van Rossum AC, et al. MR-IMPACT: comparison of perfusion-cardiac magnetic resonance with single-photon emission computed tomography for the detection of coronary artery disease in a multicentre, multivendor, randomized trial. Eur Heart J. 2008;29:480-489.
4. Brodoefel H, Burgstahler C, Tsiflikas I, et al. Dual-source CT: effect of heart rate, heart rate variability, and calcification on image quality and diagnostic accuracy. Radiology. 2008;247:346-355.
5. Meijboom WB, Meijs MF, Schuijf JD, et al. Diagnostic accuracy of 64-slice computed tomography coronary angiography: a prospective, multicenter, multivendor study. J Am Coll Cardiol. 2008;52:2135-2144.
6. Miller JM, Rochitte CE, Dewey M, et al. Diagnostic performance of coronary angiography by 64-row CT. N Engl J Med. 2008;359:2324-2336.
7. Carrigan TP, Nair D, Schoenhagen P, et al. Prognostic utility of 64-slice computed tomography in patients with suspected but no documented coronary artery disease. Eur Heart J. 2009;30:362-371.
8. Gopal A, Nasir K, Ahmadi N, et al. Cardiac computed tomographic angiog-raphy in an outpatient setting: an analysis of clinical outcomes over a 40-month period. J Cardiovasc Comput Tomogr. 2009;3:90-95.
9. Hadamitzky M, Freissmuth B, Meyer T, et al. Prognostic value of coronary computed tomographic angiography for prediction of cardiac events in patients with suspected coronary artery disease. JACC Cardiovasc Imaging. 2009;2:404-411.
10. Min JK, Shaw LJ, Devereux RB, et al. Prognostic value of multidetector coronary computed tomographic angiography for prediction of all-cause mortality. J Am Coll Cardiol. 2007;50:1161-1170.
11. George RT, Jerosch-Herold M, Silva C, et al. Quantification of myocardial perfusion using dynamic 64-detector computed tomography. Invest Radiol. 2007;42:815-822.
12. George RT, Silva C, Cordeiro MA, et al. Multidetector computed tomography myocardial perfusion imaging during adenosine stress. J Am Coll Cardiol. 2006;48:153-160.
13. George RT, Arbab-Zadeh A, Miller JM, 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;2:174-182.
14. Ruzsics B, Lee H, Zwerner PL, et al. Dual-energy CT of the heart for diagnosing coronary artery stenosis and myocardial ischemia-initial experience. Eur Radiol. 2008;18:2414-2424.
15. Ruzsics B, Schwarz F, Schoepf UJ, et al. Comparison of dual-energy computed tomography of the heart with single photon emission computed tomography for assessment of coronary artery stenosis and of the myocardial blood supply. Am J Cardiol. 2009;104:318-326.
16. Peng J, Wu S-Y, Yeh BM, et al. Dual source dual energy CT of acute myocardial infarction: correlation with histopathological findings in a canine model. Invest Radiol. 2010;45:290-297.
17. Lell M, Marwan M, Schepis T, et al. Prospectively ECG-triggered high-pitch spiral acquisition for coronary CT angiography using dual source CT: technique and initial experience. Eur Radiol. 2009;19:2576-2583.
18. Leschka S, Stolzmann P, Desbiolles L, et al. Diagnostic accuracy of high-pitch dual-source CT for the assessment of coronary stenoses: first experience. Eur Radiol. 2009;19:2896-2903.
19. Mahnken AH, Klotz E, Pietsch H, et al. Quantitative whole heart stress perfusion CT imaging as non-invasive assessment of hemodynamics in coronary artery stenosis: preliminary animal experience. Invest Radiol. 2010; 45:298-305.
20. Plein S, Ryf S, Schwitter J, et al. Dynamic contrast-enhanced myocardial perfusion MRI accelerated with k-t sense. Magn Reson Med. 2007;58:777-785.
21. Cerqueira MD, Weissman 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. Circulation. 2002;105:539-542.
22. Christian TF, Rettmann DW, Aletras AH, et al. Absolute myocardial perfu-sion in canines measured by using dual-bolus first-pass MR imaging. Radiology. 2004;232:677-684.
23. Nagel E, Klein C, Paetsch I, et al. Magnetic resonance perfusion measurements for the noninvasive detection of coronary artery disease. Circulation. 2003;108:432-437.
24. Cohen J. A coefficient of agreement for nominal scales. Educ Psychol Meas. 1960;20:37-46.
25. Blankstein R, Shturman LD, Rogers IS, et al. Adenosine-induced stress myocardial perfusion imaging using dual-source cardiac computed tomography. J Am Coll Cardiol. 2009;54:1072-1084.
26. Rocha-Filho JA, Blankstein R, Shturman LD, et al. Incremental value of adenosine-induced stress myocardial perfusion imaging with dual-source CT at cardiac CT angiography. Radiology. 2010;254:410-419.
27. Gerber BL, Belge B, Legros GJ, et al. Characterization of acute and chronic myocardial infarcts by multidetector computed tomography: comparison with contrast-enhanced magnetic resonance. Circulation. 2006;113:823-833.
28. Dewey M, Zimmermann E, Deissenrieder F, et al. Noninvasive coronary angiography by 320-row computed tomography with lower radiation exposure and maintained diagnostic accuracy: comparison of results with cardiac catheterization in a head-to-head pilot investigation. Circulation. 2009;120: 867-875.
29. Flohr TG, Bruder H, Stierstorfer K, et al. Image reconstruction and image quality evaluation for a dual source CT scanner. Med Phys. 2008;35:5882-5897.
30. Mahnken AH, Bruners P, Katoh M, et al. Dynamic multi-section CT imaging in acute myocardial infarction: preliminary animal experience. Eur Radiol. 2006; 16:746-752.
31. Kido T, Kurata A, Higashino H, et al. Quantification of regional myocardial blood flow using first-pass multidetector-row computed tomography and adenosine triphosphate in coronary artery disease. Circ J. 2008;72:1086-1091.
32. Schwitter J, Nanz D, Kneifel S, et al. Assessment of myocardial perfusion in coronary artery disease by magnetic resonance: a comparison with positron emission tomography and coronary angiography. Circulation. 2001;103: 2230-2235.
33. Al-Saadi N, Nagel E, Gross M, et al. Noninvasive detection of myocardial ischemia from perfusion reserve based on cardiovascular magnetic resonance. Circulation. 2000;101:1379-1383.
34. Stolzmann P, Scheffel H, Schertler T, et al. Radiation dose estimates in dual-source computed tomography coronary angiography. Eur Radiol. 2008; 18:592-599.
35. Gerber TC, Carr JJ, Arai AE, et al. 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. 2009;119:1056-1065.
36. Chang SM, Nabi F, Xu J, et al. Normal stress-only versus standard stress/rest myocardial perfusion imaging: similar patient mortality with reduced radiation exposure. J Am Coll Cardiol. 2010;55:221-230.
37. Krittayaphong R, Boonyasirinant T, Saiviroonporn P, et al. Myocardial perfusion cardiac magnetic resonance for the diagnosis of coronary artery disease: do we need rest images? Int J Cardiovasc Imaging. 2009;25(suppl 1):139-148.