Skip to main content
Log in

Assessment of acute myocarditis by cardiac magnetic resonance imaging: Comparison of qualitative and quantitative analysis methods

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

Abstract

Background

To compare cardiac magnetic resonance (CMR) qualitative and quantitative analysis methods for the noninvasive assessment of myocardial inflammation in patients with suspected acute myocarditis (AM).

Methods

A total of 61 patients with suspected AM underwent coronary angiography and CMR. Qualitative analysis was performed applying Lake-Louise Criteria (LLC), followed by quantitative analysis based on the evaluation of edema ratio (ER) and global relative enhancement (RE). Diagnostic performance was assessed for each method by measuring the area under the curves (AUC) of the receiver operating characteristic analyses. The final diagnosis of AM was based on symptoms and signs suggestive of cardiac disease, evidence of myocardial injury as defined by electrocardiogram changes, elevated troponin I, exclusion of coronary artery disease by coronary angiography, and clinical and echocardiographic follow-up at 3 months after admission to the chest pain unit.

Results

In all patients, coronary angiography did not show significant coronary artery stenosis. Troponin I levels and creatine kinase were higher in patients with AM compared to those without (both P < .001). There were no significant differences among LLC, T2-weighted short inversion time inversion recovery (STIR) sequences, early (EGE), and late (LGE) gadolinium-enhancement sequences for diagnosis of AM. The AUC for qualitative (T2-weighted STIR 0.92, EGE 0.87 and LGE 0.88) and quantitative (ER 0.89 and global RE 0.80) analyses were also similar.

Conclusions

Qualitative and quantitative CMR analysis methods show similar diagnostic accuracy for the diagnosis of AM. These findings suggest that a simplified approach using a shortened CMR protocol including only T2-weighted STIR sequences might be useful to rule out AM in patients with acute coronary syndrome and normal coronary angiography.

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
Figure 3

Similar content being viewed by others

Abbreviations

AM:

Acute myocarditis

CMR:

Cardiac magnetic resonance

LLC:

Lake-Louise Criteria

EGE:

Early gadolinium-enhancement

LGE:

Late gadolinium-enhancement

STIR:

Short time inversion recovery

ER:

Edema ratio

RE:

Relative enhancement

ROI:

Region of interest

AUC:

Area under the curve

ROC:

Receiver operating characteristic

References

  1. Cooper LT. Myocarditis. N Engl J Med 2009;360:1526-38.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  2. Jeserich M, Konstantinides S, Pavlik G, Bode C, Geibel A. Non-invasive imaging in the diagnosis of acute viral myocarditis. Clin Res Cardiol 2009;98:753-63.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Francone M, Di Cesare E, Cademartiri F, Pontone G, Lovato L, Matta G, et al; CMR Italian Registry Group, Ligabue G, Mancini A, Palmierir F, Restaino G, Puppini G, Centonze M, et al. Italian registry of cardiac magnetic resonance. Eur J Radiol 2014;83:e15-22.

  4. Antony R, Daghem M, McCann GP, Daghem S, Moon J, Pennell DJ, et al. Cardiovascular magnetic resonance activity in the United Kingdom: A survey on behalf of the British Society of Cardiovascular Magnetic Resonance. J Cardiovasc Magn Reson 2011;13:57.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Friedrich MG, Sechtem U, Schulz-Menger J, Holmvang G, Alakija P, Cooper LT, et al. International Consensus Group on Cardiovascular Magnetic Resonance in Myocarditis. Cardiovascular magnetic resonance in myocarditis: A JACC White Paper. J Am Coll Cardiol 2009;53:1475-87.

    Article  PubMed  PubMed Central  Google Scholar 

  6. Chu GC, Flewitt JA, Mikami Y, Vermes E, Friedrich MG. Assessment of acute myocarditis by cardiovascular MR: Diagnostic performance of shortened protocols. Int J Cardiovasc Imaging 2013;29:1077-83.

    Article  PubMed  Google Scholar 

  7. Hamm CW, Bassand JP, Agewall S, Bax J, Boersma E, Bueno H, et al. ESC committee for practice guidelines. ESC guidelines for the management of acute coronary syndromes in patients presenting without persistent ST-segment elevation. Eur Heart J 2011;32:2999-3054.

    Article  PubMed  Google Scholar 

  8. Kramer CM, Barkhausen J, Flamm SD, Kim RJ. Nagel E; Society for Cardiovascular Magnetic Resonance Board of Trustees Task Force on Standardized Protocols. Standardized cardiovascular magnetic resonance imaging (CMR) protocols, Society for Cardiovascular Magnetic Resonance: Board of Trustees Task Force on Standardized Protocols. J Cardiovasc Magn Reson 2008;10:35.

    Article  PubMed  PubMed Central  Google Scholar 

  9. Cerqueira MD, Weissman NJ, Dilsizian V, Jacobs AK, Kaul S, Laskey WK, et al. American Heart Association Writing Group on Myocardial Segmentation and Registration for Cardiac Imaging. 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. Int J Cardiovasc Imaging 2002;18:539-42.

    Google Scholar 

  10. Gutberlet M, Spors B, Thoma T, Bertram H, Denecke T, Felix R, et al. Suspected chronic myocarditis at cardiac MR: Diagnostic accuracy and association with immunohistologically detected inflammation and viral persistence. Radiology 2008;246:401-9.

    Article  PubMed  Google Scholar 

  11. Park CH, Choi EY, Greiser A, Paek MY, Hwang SH, Kim TH. Diagnosis of acute global myocarditis using cardiac MRI with quantitative T1 and T2 mapping: Case report and literature review. Korean J Radiol 2013;14:727-32.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Hanley JA, McNeil BJ. A method of comparing the areas under receiver operating characteristic curves derived from the same cases. Radiology. 1983;148:839-43.

    Article  CAS  PubMed  Google Scholar 

  13. Vermes E, Childs H, Faris P, Friedrich MG. Predictive value of CMR criteria for LV functional improvement in patients with acute myocarditis. Eur Heart J Cardiovasc Imaging 2014;15:1140-4.

    Article  PubMed  Google Scholar 

  14. Grün S, Schumm J, Greulich S, Wagner A, Schneider S, Bruder O, et al. Long-term follow-up of biopsy-proven viral myocarditis: Predictors of mortality and incomplete recovery. J Am Coll Cardiol 2012;59:1604-15.

    Article  PubMed  Google Scholar 

  15. Schumm J, Greulich S, Wagner A, Grun S, Ong P, Bentz K, et al. Cardiovascular magnetic resonance risk stratification in patients with clinically suspected myocarditis. J Cardiovasc Magn Reson 2014;16:14.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Dwyer AJ, Frank JA, Sank VJ, Reinig JW, Hickey AM, Doppman JL. Short-T1 inversion-recovery pulse sequence: analysis and initial experience in cancer imaging. Radiology 1988;168:827-36.

    Article  CAS  PubMed  Google Scholar 

  17. Esposito A, Francone M, Faletti R, Centonze M, Cademartiri F, Carbone I, et al. Working Group of the Italian College of Cardiac Radiology by SIRM. Lights and shadows of cardiac magnetic resonance imaging in acute myocarditis Insights Imaging 2016;7:99-110.

    Article  PubMed  Google Scholar 

  18. Yelgec NS, Dymarkowski S, Ganame J, Bogaert J. Value of MRI in patients with clinical suspicion of acute myocarditis. Eur Radiol. 2007;17:2211-7.

    Article  PubMed  Google Scholar 

  19. Abdel-Aty H, Boyé P, Zagrosek A, Wassmuth R, Kumar A, Messroghli D, et al. Diagnostic performance of cardiovascular magnetic resonance in patients with suspected acute myocarditis: Comparison of different approaches. J Am Coll Cardiol 2005;45:1815-22.

    Article  PubMed  Google Scholar 

  20. Manciet LH, Poole DC, McDonagh PF, Copeland JG, Mathieu-Costello O. Microvascular compression during myocardial ischemia: Mechanistic basis for no-reflow phenomenon. Am J Physiol 1994;266:H1541-50.

    CAS  PubMed  Google Scholar 

  21. Mahrholdt H, Goedecke C, Wagner A, Meinhardt G, Athanasiadis A, Vogelsberg H, et al. Cardiovascular magnetic resonance assessment of human myocarditis: A comparison to histology and molecular pathology. Circulation 2004;109:1250-8.

    Article  PubMed  Google Scholar 

  22. Hauck AJ, Kearney DL, Edwards WD. Evaluation of postmortem endomyocardial biopsy specimens from 38 patients with lymphocytic myocarditis: Implications for role of sampling error. Mayo Clin Proc 1989;64:1235-45.

    Article  CAS  PubMed  Google Scholar 

  23. Chow LH, Radio SJ, Sears TD, McManus BM. Insensitivity of right ventricular endomyocardial biopsy in the diagnosis of myocarditis. J Am Coll Cardiol. 1989;14:915-20.

    Article  CAS  PubMed  Google Scholar 

  24. Luetkens JA, Homsi R, Sprinkart AM, Sprinkart AM, Doerner J, Dabir D, et al. Incremental value of quantitative CMR including parametric mapping for the diagnosis of acute myocarditis. Eur Heart J Cardiovasc Imaging 2016;17:154-61.

    Article  PubMed  Google Scholar 

  25. Baeßler B, Schaarschmidt F, Dick A, Stehning C, Schnackenburg B, Michels G, et al. Mapping tissue inhomogeneity in acute myocarditis: A novel analytical approach to quantitative myocardial edema imaging by T2-mapping. J Cardiovasc Magn Reson 2015;23:115.

    Article  Google Scholar 

  26. Ferreira VM, Piechnik SK, Dall’Armellina E, Karamitsos TD, Francis JM, Ntusi N, et al. Native T1-mapping detects the location, extent and patterns of acute myocarditis without the need for gadolinium contrast agents. J Cardiovasc Magn Reson 2014;23:36.

    Article  Google Scholar 

  27. Greulich S, Ferreira VM, Dall’Armellina E, Mahrholdt H. Myocardial inflammation—are we there yet? Curr Cardiovasc Imaging Rep. 2015;8:6.

    Article  PubMed  PubMed Central  Google Scholar 

  28. Radunski UK, Lund GK, Stehning C, Schnackenburg B, Boehnen S, Adam G, et al. CMR in patients with severe myocarditis: Diagnostic value of quantitative tissue markers including extracellular volume imaging. JACC: Cardiovasc Imaging 2014;7:667-75.

    Google Scholar 

  29. Bohnen S, Radunski UK, Lund GK, Ojeda F, Looft Y, Senel M, et al. Tissue characterization by T1 and T2 mapping cardiovascular magnetic resonance imaging to monitor myocardial inflammation in healing myocarditis. Eur Heart J Cardiovasc Imaging 2017 Mar 8. doi:10.1093/ehjci/jex007. [Epub ahead of print].

  30. Spieker M, Haberkorn S, Gasti M, Behm P, Katsianos S, Horn P, et al. Abnormal T2 mapping cardiovascular magnetic resonance correlates with adverse clinical outcome in patients with suspected acute myocarditis. J Cardiovasc Magn Reson 2017;19:38.

    Article  PubMed  PubMed Central  Google Scholar 

Download references

Disclosure

M. Imbriaco, C. Nappi, M. Puglia, M. De Giorgi, S. Dell’Aversana, R. Cuocolo, A. Ponsiglione, I. De Giorgi, M.V. Polito, M. Klain, F. Piscione, L. Pace, A. Cuocolo declare that they have no conflict of interest.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Massimo Imbriaco MD.

Additional information

The authors of this article have provided a PowerPoint file, available for download at SpringerLink, which summarizes the contents of the paper and is free for re-use at meetings and presentations. Search for the article DOI on SpringerLink.com.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary material 1 (PPTX 2563 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Imbriaco, M., Nappi, C., Puglia, M. et al. Assessment of acute myocarditis by cardiac magnetic resonance imaging: Comparison of qualitative and quantitative analysis methods. J. Nucl. Cardiol. 26, 857–865 (2019). https://doi.org/10.1007/s12350-017-1109-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12350-017-1109-3

Keywords

Navigation