Journal of Cardiovascular Computed Tomography
Volume 4, Issue 4 , Pages 258-266 , July 2010

Comparison of postprocessing techniques for the detection of perfusion defects by cardiac computed tomography in patients presenting with acute ST-segment elevation myocardial infarction

  • Ian S. Rogers, MD, MPH

      Affiliations

    • Cardiac MR PET CT Program, Department of Radiology and Division of Cardiology, Massachusetts General Hospital, 165 Cambridge Street, Suite 400, Boston, MA 02114-2750, USA
    • Harvard Medical School, Boston, MA, USA
    • Division of Cardiovascular Medicine, Stanford University, Stanford, CA, USA
    • ,
  • Ricardo C. Cury, MD

      Affiliations

    • Cardiac MR PET CT Program, Department of Radiology and Division of Cardiology, Massachusetts General Hospital, 165 Cambridge Street, Suite 400, Boston, MA 02114-2750, USA
    • Harvard Medical School, Boston, MA, USA
    • ,
  • Ron Blankstein, MD

      Affiliations

    • Cardiac MR PET CT Program, Department of Radiology and Division of Cardiology, Massachusetts General Hospital, 165 Cambridge Street, Suite 400, Boston, MA 02114-2750, USA
    • Harvard Medical School, Boston, MA, USA
    • ,
  • Michael D. Shapiro, DO

      Affiliations

    • Cardiac MR PET CT Program, Department of Radiology and Division of Cardiology, Massachusetts General Hospital, 165 Cambridge Street, Suite 400, Boston, MA 02114-2750, USA
    • Harvard Medical School, Boston, MA, USA
    • ,
  • Koen Nieman, MD, PhD

      Affiliations

    • Cardiac MR PET CT Program, Department of Radiology and Division of Cardiology, Massachusetts General Hospital, 165 Cambridge Street, Suite 400, Boston, MA 02114-2750, USA
    • Harvard Medical School, Boston, MA, USA
    • ,
  • Udo Hoffmann, MD, MPH

      Affiliations

    • Cardiac MR PET CT Program, Department of Radiology and Division of Cardiology, Massachusetts General Hospital, 165 Cambridge Street, Suite 400, Boston, MA 02114-2750, USA
    • Harvard Medical School, Boston, MA, USA
    • ,
  • Thomas J. Brady, MD

      Affiliations

    • Harvard Medical School, Boston, MA, USA
    • ,
  • Suhny Abbara, MD

      Affiliations

    • Cardiac MR PET CT Program, Department of Radiology and Division of Cardiology, Massachusetts General Hospital, 165 Cambridge Street, Suite 400, Boston, MA 02114-2750, USA
    • Harvard Medical School, Boston, MA, USA
    • Corresponding Author InformationCorresponding author.

Received 7 September 2009 ,Accepted 1 April 2010.

References 

  1. Ropers D, Rixe J, Anders K, Küttner A, Baum U, Bautz W, et al. Usefulness of multidetector row spiral computed tomography with 64- x 0.6-mm collimation and 330-ms rotation for the noninvasive detection of significant coronary artery stenoses. Am J Cardiol. 2006;97:343–348
  2. Mahnken AH, Koos R, Katoh M, Wildberger JE, Spuentrup E, Buecker A, et al. Assessment of myocardial viability in reperfused acute myocardial infarction using 16-slice computed tomography in comparison to magnetic resonance imaging. J Am Coll Cardiol. 2005;21:2042–2047
  3. Gerber BL, Belge B, Legros GJ, Lim P, Poncelet A, Pasquet A, et al. Characterization of acute and chronic myocardial infarcts by multidetector computed tomography: comparison with contrast-enhanced magnetic resonance. Circulation. 2006;113:823–833
  4. Habis M, Capderou A, Ghostine S, Daoud B, Caussin C, Riou JY, et al. Acute myocardial infarction early viability assessment by 64-slice computed tomography immediately after coronary angiography: comparison with low-dose dobutamine echocardiography. J Am Coll Cardiol. 2007;49:1178–1185
  5. Lessick J, Dragu R, Mutlak D, Rispler S, Beyar R, Litmanovich D, et al. Is functional improvement after myocardial infarction predicted with myocardial enhancement patterns at multidetector CT?. Radiology. 2007;244:736–744
  6. Nieman K, Shapiro MD, Ferencik M, Nomura CH, Abbara S, Hoffmann U, et al. Reperfused myocardial infarction: contrast-enhanced 64-Section CT in comparison to MR imaging. Radiology. 2008;247:49–56
  7. Flohr T, Stierstorfer K, Raupach R, Ulzheimer S, Bruder H. Performance evaluation of a 64-slice CT system with z-flying focal spot. Rofo. 2004;176:1803–1810
  8. Bouvier E, Logeart D, Sablayrolles JL, Feignoux J, Scheublé C, Touche T, et al. Diagnosis of aortic valvular stenosis by multislice cardiac computed tomography. Eur Heart J. 2006;27:3033–3038
  9. Kim HC, Park SJ, Park SI, Park SH, Kim HJ, Shin HC, et al. Multislice CT cholangiography using thin-slab minimum intensity projection and multiplanar reformation in the evaluation of patients with suspected biliary obstruction: preliminary experience. Clin Imaging. 2005;29:46–54
  10. Park SJ, Han JK, Kim TK, Choi BI. Three-dimensional spiral CT cholangiography with minimum intensity projection in patients with suspected obstructive biliary disease: comparison with percutaneous transhepatic cholangiography. Abdom Imaging. 2001;26:281–286
  11. Kim HC, Park SI, Park SJ, Shin HC, Oh MH, Kim CH, et al. Pancreatic carcinoid tumor with obstructive pancreatitis: multislice helical CT appearance: case report. Abdominal Imaging. 2005;30:601–604
  12. Napel S, Rubin GD, Jeffrey RB. STS-MIP: a new reconstruction technique for CT of the chest. J Comput Assist Tomogr. 1993;17:832–838
  13. Remy-Jardin M, Remy J, Gosselin B, Copin MC, Wurtz A, Duhamel A. Sliding thin slab, minimum intensity projection technique in the diagnosis of emphysema: histopathologic-CT correlation. Radiology. 1996;200:665–671
  14. Satoh S, Kitazume Y, Taura S. Pulmonary emphysema: histopathologic correlation with minimum intensity projection imaging, high-resolution computed tomography, and pulmonary function test results. J Comput Assist Tomogr. 2008;32:576–582
  15. 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
  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. Cury RC, Nieman K, Shapiro MD, Butler J, Nomura CH, Ferencik 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
  18. Blankstein R, Rogers IS, Cury RC. Practical tips and tricks in cardiovascular computed tomography: diagnosis of myocardial infarction. J Cardiovasc Comput Tomogr. 2009;3:104–111

 Conflict of interest: Dr Abbara has consulted with Partners Imaging, Magellan Healthcare, Perceptive Informatics and has received research funding from Bracco. The remaining authors report no conflicts of interest.

 Drs. Rogers, Blankstein, and Shapiro received support for this study from National Institutes of Health grant T32HL076136.

PII: S1934-5925(10)00255-8

doi: 10.1016/j.jcct.2010.04.003

Journal of Cardiovascular Computed Tomography
Volume 4, Issue 4 , Pages 258-266 , July 2010

Article Tools

* Image Usage & Resolution