Skip to main content

Advertisement

Log in

Computed tomography: The optimal imaging method for differentiation of ischemic vs non-ischemic cardiomyopathy

  • Debate Article
  • Published:
Journal of Nuclear Cardiology Aims and scope

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Figure 1
Figure 2

References

  1. Mouden M, Timmer JR, Reiffers S, Oostdijk AH, Knollema S, Ottervanger JP, et al. Coronary artery calcium scoring to exclude flow-limiting coronary artery disease in symptomatic stable patients at low or intermediate risk. Radiology 2013;269:77-83.

    Article  PubMed  Google Scholar 

  2. Budoff MJ, Shavelle DM, Lamont DH, Kim HT, Akinwale P, Kennedy JM, et al. Usefulness of electron beam computed tomography scanning for distinguishing ischemic from nonischemic cardiomyopathy. J Am Coll Cardiol 1998;32:1173-8.

    Article  CAS  PubMed  Google Scholar 

  3. Budoff MJ, Jollis JG, Dowe D, Min J, Group VCTS. Diagnostic accuracy of coronary artery calcium for obstructive disease: Results from the ACCURACY trial. Int J Cardiol 2013;166:505-8.

    Article  PubMed  Google Scholar 

  4. Danad I, Raijmakers PG, Knaapen P. Diagnosing coronary artery disease with hybrid PET/CT: It takes two to tango. J Nucl Cardiol 2013;20:874-90.

    Article  PubMed  Google Scholar 

  5. Andreini D, Pontone G, Bartorelli AL, Agostoni P, Mushtaq S, Bertella E, et al. Sixty-four-slice multidetector computed tomography: An accurate imaging modality for the evaluation of coronary arteries in dilated cardiomyopathy of unknown etiology. Circ Cardiovasc Imaging 2009;2:199-205.

    Article  PubMed  Google Scholar 

  6. Wever-Pinzon O, Romero J, Kelesidis I, Wever-Pinzon J, Manrique C, Budge D, et al. Coronary computed tomography angiography for the detection of cardiac allograft vasculopathy: A meta-analysis of prospective trials. J Am Coll Cardiol 2014;63:1992-2004.

    Article  PubMed  Google Scholar 

  7. Sun G, Li M, Jiang ZW, Xu L, Peng ZH, Ding J, et al. Diagnostic accuracy of dual-source CT coronary angiography in patients with atrial fibrillation: Meta analysis. Eur J Radiol 2013;82:1749-54.

    Article  PubMed  Google Scholar 

  8. Sun Z, Almutairi AM. Diagnostic accuracy of 64 multislice CT angiography in the assessment of coronary in-stent restenosis: A meta-analysis. Eur J Radiol 2010;73:266-73.

    Article  PubMed  Google Scholar 

  9. Min JK, Berman DS, Dunning A, Achenbach S, Al-Mallah M, Budoff MJ, et al. All-cause mortality benefit of coronary revascularization vs. medical therapy in patients without known coronary artery disease undergoing coronary computed tomographic angiography: Results from CONFIRM (COronary CT Angiography EvaluatioN For Clinical Outcomes: An InteRnational Multicenter Registry). Eur Heart J 2012;33:3088-97.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  10. Tonino PA, Fearon WF, De Bruyne B, Oldroyd KG, Leesar MA, Ver Lee PN, et al. Angiographic versus functional severity of coronary artery stenoses in the FAME study fractional flow reserve versus angiography in multivessel evaluation. J Am Coll Cardiol 2010;55:2816-21.

    Article  PubMed  Google Scholar 

  11. Wong DT, Ko BS, Cameron JD, Leong DP, Leung MC, Malaiapan Y, et al. Comparison of diagnostic accuracy of combined assessment using adenosine stress computed tomography perfusion + computed tomography angiography with transluminal attenuation gradient + computed tomography angiography against invasive fractional flow reserve. J Am Coll Cardiol 2014;63:1904-12.

    Article  PubMed  Google Scholar 

  12. Rief M, Zimmermann E, Stenzel F, Martus P, Stangl K, Greupner J, et al. Computed tomography angiography and myocardial computed tomography perfusion in patients with coronary stents: Prospective intraindividual comparison with conventional coronary angiography. J Am Coll Cardiol 2013;62:1476-85.

    Article  PubMed  Google Scholar 

  13. Pijls NH, De Bruyne B, Peels K, van der Voort PH, Bonnier HJ, Bartunek J, et al. Measurement of fractional flow reserve to assess the functional severity of coronary-artery stenoses. N Engl J Med 1996;334:1703-8.

    Article  CAS  PubMed  Google Scholar 

  14. Koo BK, Erglis A, Doh JH, Daniels DV, Jegere S, Kim HS, et al. Diagnosis of ischemia-causing coronary stenoses by noninvasive fractional flow reserve computed from coronary computed tomographic angiograms. Results from the prospective multicenter DISCOVER-FLOW (Diagnosis of Ischemia-Causing Stenoses Obtained Via Noninvasive Fractional Flow Reserve) study. J Am Coll Cardiol 2011;58:1989-97.

    Article  PubMed  Google Scholar 

  15. Norgaard BL, Leipsic J, Gaur S, Seneviratne S, Ko BS, Ito H, et al. Diagnostic performance of noninvasive fractional flow reserve derived from coronary computed tomography angiography in suspected coronary artery disease: The NXT trial (Analysis of coronary blood flow using CT angiography: Next steps). J Am Coll Cardiol 2014;63:1145-55.

    Article  PubMed  Google Scholar 

  16. Min JK, Leipsic J, Pencina MJ, Berman DS, Koo BK, van Mieghem C, et al. Diagnostic accuracy of fractional flow reserve from anatomic CT angiography. J Am Med Assoc 2012;308:1237-45.

    Article  CAS  Google Scholar 

  17. Raman SV, Shah M, McCarthy B, Garcia A, Ferketich AK. Multi-detector row cardiac computed tomography accurately quantifies right and left ventricular size and function compared with cardiac magnetic resonance. Am Heart J 2006;151:736-44.

    Article  PubMed  Google Scholar 

  18. 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;113:823-33.

    Article  PubMed  Google Scholar 

  19. Sato A, Nozato T, Hikita H, Akiyama D, Nishina H, Hoshi T, et al. Prognostic value of myocardial contrast delayed enhancement with 64-slice multidetector computed tomography after acute myocardial infarction. J Am Coll Cardiol 2012;59:730-8.

    Article  PubMed  Google Scholar 

  20. Kim JS, Judson MA, Donnino R, Gold M, Cooper LT, Prystowsky EN, et al. Cardiac sarcoidosis. Am Heart J 2009;157:9-21.

    Article  CAS  PubMed  Google Scholar 

  21. Meluzin J, Spinarova L, Hude P, Krejcí J, Kincl V, Panovský R, et al. Prognostic importance of various echocardiographic right ventricular functional parameters in patients with symptomatic heart failure. J Am Soc Echocardiogr 2005;18:435-44.

    Article  PubMed  Google Scholar 

  22. Gulati A, Ismail TF, Jabbour A, Alpendurada F, Guha K, Ismail NA, et al. The prevalence and prognostic significance of right ventricular systolic dysfunction in nonischemic dilated cardiomyopathy. Circulation 2013;128:1623-33.

    Article  PubMed  Google Scholar 

  23. Troupis JM, Singh-Pasricha S, Gunaratnam K, Nasis A, Cameron J, Seneviratne S. Cardiomyopathy and cardiac computed tomography: What the radiologist needs to know. Clin Radiol 2013;68:e49-58.

    Article  CAS  PubMed  Google Scholar 

Download references

Disclosure

The authors have indicated that they have no financial conflict of interest.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to James K. Min MD, FACC, FSCCT.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Danad, I., Min, J.K. Computed tomography: The optimal imaging method for differentiation of ischemic vs non-ischemic cardiomyopathy. J. Nucl. Cardiol. 22, 961–967 (2015). https://doi.org/10.1007/s12350-015-0146-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12350-015-0146-z

Keywords

Navigation