American Journal of Cardiology
Volume 106, Issue 3 , Pages 310-315 , 1 August 2010

Dipyridamole Stress and Rest Myocardial Perfusion by 64-Detector Row Computed Tomography in Patients With Suspected Coronary Artery Disease

  • Roberto C. Cury, MD

      Affiliations

    • Cardiovascular MR and CT Section, University of São Paulo Medical, School, São Paulo, Brazil
    • ,
  • Tiago A. Magalhães, MD

      Affiliations

    • Cardiovascular MR and CT Section, University of São Paulo Medical, School, São Paulo, Brazil
    • ,
  • Anna C. Borges, MD

      Affiliations

    • Nuclear Imaging Section, University of São Paulo Medical, School, São Paulo, Brazil
    • ,
  • Afonso A. Shiozaki, MD

      Affiliations

    • Cardiovascular MR and CT Section, University of São Paulo Medical, School, São Paulo, Brazil
    • ,
  • Pedro A. Lemos, MD

      Affiliations

    • Invasive Cardiology Section, Heart Institute (InCor), University of São Paulo Medical, School, São Paulo, Brazil
    • ,
  • José Soares Júnior, MD

      Affiliations

    • Nuclear Imaging Section, University of São Paulo Medical, School, São Paulo, Brazil
    • ,
  • José Cláudio Meneghetti, MD

      Affiliations

    • Nuclear Imaging Section, University of São Paulo Medical, School, São Paulo, Brazil
    • ,
  • Ricardo C. Cury, MD

      Affiliations

    • Cardiovascular MR and CT Program, Baptist Cardiac and Vascular Institute, Miami, Florida
    • Cardiac MR PET CT Program, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
    • ,
  • Carlos E. Rochitte, MD

      Affiliations

    • Cardiovascular MR and CT Section, University of São Paulo Medical, School, São Paulo, Brazil
    • Corresponding Author InformationCorresponding author: Tel/fax: 55-11-3069-5587

Received 11 November 2009 ,Revised 4 March 2010 ,Accepted 4 March 2010.

References 

  1. Leber AW, Knez A, von Ziegler F, Becker A, Nikolau K, Paul S, et al. Quantification of obstructive and nonobstructive coronary lesions by 64-slice computed tomography: a comparative study with quantitative coronary angiography and intravascular ultrasound. J Am Coll Cardiol. 2005;46:147–154
  2. Leschka S, Alkadhi H, Plass A, Desbiolles L, Grunenfelder J, Marincek B, et al. Accuracy of MSCT coronary angiography with 64-slice technology: first experience. Eur Heart J. 2005;26:1482–1487
  3. Mollet NR, Cademartiri F, van Mieghem CA, Runza G, McFadden EP, Baks T, et al. High-resolution spiral computed tomography coronary angiography in patients referred for diagnostic conventional coronary angiography. Circulation. 2005;112:2318–2323
  4. 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
  5. Pugliese F, Mollet NR, Runza G, van Mieghem C, Meijboom WB, Malagutti P, et al. Diagnostic accuracy of non-invasive 64-slice CT coronary angiography in patients with stable angina pectoris. Eur Radiol. 2006;16:575–582
  6. Ropers D, Rixe J, Anders K, Kuttner A, Baum U, Bautz W, et al. Usefulness of multidetector row spiral computed tomography with 64- × 0.6-mm collimation and 330-ms rotation for the noninvasive detection of significant coronary artery stenoses. Am J Cardiol. 2006;97:343–358
  7. 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;359:2324–2336
  8. Miller JM, Dewey M, Vavere AL, Rochitte CE, Niinuma H, Arbab-Zadeh A, et al. Coronary CT angiography using 64 detector rows: methods and design of the multi-centre trial CORE-64. Eur Radiol. 2009;19:816–828
  9. Cerqueira MD, Weissman NJ, Dilsizian V, Jacobs AK, Kaul S, Laskey WK, 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
  10. Cury RC, Nieman K, Shapiro MD, Butler J, Nomura CH, Ferenick M, et al. Comprehensive assessment of myocardial perfusion defects, regional wall motion, and left ventricular function by using 64-section multidetector CT. Radiology. 2008;248:466–475
  11. Shrimpton PC. Assessment of patient dose in CT. Chilton, NRPB-PE/1/2004 2004;
  12. Di Carli MF, Dorbala S, Curillova Z, Kwong RJ, Goldhaber SZ, Rybicki FJ, et al. Relationship between CT coronary angiography and stress perfusion imaging in patients with suspected ischemic heart disease assessed by integrated PET-CT imaging. J Nucl Cardiol. 2007;14:799–809
  13. Di Carli MF, Hachamovitch R. Hybrid PET/CT is greater than the sum of its parts. J Nucl Cardiol. 2008;15:118–122
  14. 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;54:1072–1084
  15. George RT, Silva C, Cordeiro MA, DiPaula A, Thompson DR, McCarthy WF, et al. Multidetector computed tomography myocardial perfusion imaging during adenosine stress. J Am Coll Cardiol. 2006;48:153–160
  16. 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;2:174–182
  17. Hausleiter J, Meyer T, Hermann F, Hadamitzky M, Krebs M, Gerber TC, et al. Estimated radiation dose associated with cardiac CT angiography. JAMA. 2009;301:500–507

 This work was supported by Grant-in-Aid 2007/56214-8 from the Fundação de Amparo à Pesquisa do Estado de São Paulo, São Paulo/Brazil, and the Zerbini Foundation, São Paulo/Brazil.

PII: S0002-9149(10)00774-5

doi: 10.1016/j.amjcard.2010.03.025

American Journal of Cardiology
Volume 106, Issue 3 , Pages 310-315 , 1 August 2010

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