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Comparison of cardiac magnetic resonance imaging and fluorodeoxyglucose positron emission tomography in the assessment of cardiac sarcoidosis: Meta-analysis and systematic review

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Journal of Nuclear Cardiology Aims and scope

Abstract

Aim

Fluorine-18 fluorodeoxyglucose-positron emission tomography (FDG-PET) and cardiac magnetic resonance (CMR) are frequently used advanced cardiac imaging to diagnose cardiac sarcoidosis (CS). We conducted a meta-analysis and systematic review to compare diagnostic parameters of FDG-PET and CMR in the diagnosis of cardiac sarcoidosis (CS).

Methods

We searched PubMed, EMBASE, and Scopus databases from their inception to 9/30/2021 with search terms “cardiac sarcoidosis” AND “cardiac magnetic resonance imaging” AND “positronemission tomography”. We extracted patient characteristics, results of the FDG-PET and CMR, and adverse outcomes from the included studies. Adverse outcomes served as a reference standard for the evaluation of FDG-PET and CMR.

Results

We included 4 studies in the meta-analysis which provided adverse outcomes and all patients underwent FDG-PET and CMR. There were 237 patients, 60.3% male, and ages ranged from 50-53 years. There were 45 events in 237 patients from four studies included in the meta-analyses. The pooled sensitivity (95% confidence interval-CI) and specificity (CI) of CMR in predicting an adverse event were 0.94 (0.79-0.98) and 0.49 (0.40-0.59), respectively. The pooled sensitivity (CI) and specificity (CI) of FDG-PET in predicting an adverse event were 0.51 (0.26-0.75) and 0.60 (0.35-0.81), respectively.

Conclusion

CMR was more sensitive but less specific than FDG-PET in predicting adverse events; however, the study population and definition of a positive test need to be considered while interpreting the results.

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Abbreviations

AVB:

Atrioventricular block

CAD:

Coronary artery disease

CMR:

Cardiac magnetic resonance

CS:

Cardiac sarcoidosis

EMB:

Endomyocardial biopsy

FDG-PET:

Fluorine-18 fluorodeoxyglucose-positron emission tomography

HRS:

Heart Rhythm Society

HSROC:

Hierarchical summary receiver operating characteristic

LVEF:

Left ventricular ejection fraction

VT:

Ventricular tachycardia

References

  1. Smedema JP, Snoep G, van Kroonenburgh MP, van Geuns RJ, Dassen WR, Gorgels AP, et al. Cardiac involvement in patients with pulmonary sarcoidosis assessed at two university medical centers in the Netherlands. Chest 2005;128:30‐5.

    PubMed  Google Scholar 

  2. Vignaux O, Dhote R, Duboc D, Blanche P, Devaux JY, Weber S, et al. Detection of myocardial involvement in patients with sarcoidosis applying T2-weighted, contrast-enhanced, and cine magnetic resonance imaging: Initial results of a prospective study. J Comput Assist Tomogr 2002;26:762‐7.

    PubMed  Google Scholar 

  3. Patel MR, Cawley PJ, Heitner JF, Klem I, Parker MA, Jaroudi WA. Detection of myocardial damage in patients with sarcoidosis. Circulation 2009;120:1969‐77.

    PubMed  PubMed Central  Google Scholar 

  4. Mehta D, Lubitz SA, Frankel Z, Wisnivesky JP, Einstein AJ, Goldman M, et al. Cardiac involvement in patients with sarcoidosis: Diagnostic and prognostic value of outpatient testing. Chest 2008;133:1426‐35.

    PubMed  Google Scholar 

  5. Halawa A, Jain R, Turagam MK, Kusumoto FM, Woldu HG, Gautam S. Outcome of implantable cardioverter defibrillator in cardiac sarcoidosis: A systematic review and meta-analysis. J Interv Card Electrophysiol 2020;58:233‐42.

    PubMed  Google Scholar 

  6. Yalagudri S, Zin Thu N, Devidutta S, Saggu D, Thachil A, Chennapragada S, et al. Tailored approach for management of ventricular tachycardia in cardiac sarcoidosis. J Cardiovasc Electrophysiol 2017;28:893‐902.

    PubMed  Google Scholar 

  7. Doughan AR, Williams BR. Cardiac sarcoidosis. Heart (Br Card Soc) 2006;92:282‐8.

    Google Scholar 

  8. Yazaki Y, Isobe M, Hiroe M, Morimoto S, Hiramitsu S, Nakano T. Prognostic determinants of long-term survival in Japanese patients with cardiac sarcoidosis treated with prednisone. Am J Cardiol 2001;88:1006‐10.

    CAS  PubMed  Google Scholar 

  9. Iwai K, Tachibana T, Takemura T, Matsui Y, Kitaichi M, Kawabata Y. Pathological studies on sarcoidosis autopsy. I. Epidemiological features of 320 cases in Japan. Acta Pathol Jpn 1993;43:372‐6.

    CAS  PubMed  Google Scholar 

  10. Iwai K, Takemura T, Kitaichi M, Kawabata Y, Matsui Y. Pathological studies on sarcoidosis autopsy. II. Early change, mode of progression and death pattern. Acta Pathol Jpn 1993;43:377‐85.

    CAS  PubMed  Google Scholar 

  11. Perry A, Vuitch F. Causes of death in patients with sarcoidosis. A morphologic study of 38 autopsies with clinicopathologic correlations. Arch Pathol Lab Med 1995;119:167‐72.

    CAS  PubMed  Google Scholar 

  12. Hiraga HYK, Hiroe M. Guidelines for diagnosis of cardiac sarcoidosis: Study report on diffuse pulmonary diseases. Tokyo: Japanese Ministry Health Welfare; 1993. p. 23‐4.

    Google Scholar 

  13. Birnie DH, Sauer WH, Bogun F, Cooper JM, Culver DA, Duvernoy CS, et al. HRS expert consensus statement on the diagnosis and management of arrhythmias associated with cardiac sarcoidosis. Heart Rhythm 2014;11:1304‐23.

    Google Scholar 

  14. Ohira H, Yoshinaga K, Sakiyama S, Nakaya T, Suzuki N, Sugimoto A. Risk of underdiagnoses of cardiac sarcoidosis by routine electrocardiogram and echocardiogram in patients with biopsy-proven extracardiac sarcoidosis. Eur Respir J 2018;52:OA2154.

    Google Scholar 

  15. Wicks E, Menezes L, Pantazis A, Mohiddin S, Porter J, Booth H, et al. Novel hybrid positron emission tomography-magnetic resonance (PET-MR) multi-modality inflammatory imaging has improved diagnostic accuracy for detecting cardiac sarcoidosis. Heart 2014;100:A80.

    Google Scholar 

  16. Phan J, Kerr N, Walker B, Subbiah R. Cardiac magnetic resonance imaging and position emission tomography in the evaluation of patients with suspected cardiac sarcoidosis: A single centre experience. Heart Lung Circ 2019;28:S163.

    Google Scholar 

  17. Sgard B, Brillet PY, Bouvry D, Djelbani S, Nunes H, Meune C, et al. Evaluation of FDG PET combined with cardiac MRI for the diagnosis and therapeutic monitoring of cardiac sarcoidosis. Clin Radiol 2019;74:81.e89-81.e18.

    Google Scholar 

  18. Wicks EC, Menezes LJ, Barnes A, Mohiddin SA, Sekhri N, Porter JC, et al. Diagnostic accuracy and prognostic value of simultaneous hybrid 18F-fluorodeoxyglucose positron emission tomography/magnetic resonance imaging in cardiac sarcoidosis. Eur Heart J Cardiovasc Imaging 2018;19:757‐67.

    PubMed  Google Scholar 

  19. Bravo PE, Raghu G, Rosenthal DG, Elman S, Petek BJ, Soine LA, et al. Risk assessment of patients with clinical manifestations of cardiac sarcoidosis with positron emission tomography and magnetic resonance imaging. Int J Cardiol 2017;241:457‐62.

    PubMed  PubMed Central  Google Scholar 

  20. Gowani Z, Habibi M, Okada DR, Smith J, Derakhshan A, Zimmerman SL, et al. Utility of cardiac magnetic resonance imaging versus cardiac positron emission tomography for risk stratification for ventricular arrhythmias in patients with cardiac sarcoidosis. Am J Cardiol 2020;134:123‐9.

    PubMed  Google Scholar 

  21. Ouzzani M, Hammady H, Fedorowicz Z, Elmagarmid A. Rayyan-a web and mobile app for systematic reviews. Syst Rev 2016;5:210.

    PubMed  PubMed Central  Google Scholar 

  22. Whiting PF, Rutjes AW, Westwood ME, Mallett S, Deeks JJ, Reitsma JB, et al. QUADAS-2: A revised tool for the quality assessment of diagnostic accuracy studies. Ann Intern Med 2011;155:529‐36.

    PubMed  Google Scholar 

  23. Freeman SC, Kerby CR, Patel A, Cooper NJ, Quinn T, Sutton AJ. Development of an interactive web-based tool to conduct and interrogate meta-analysis of diagnostic test accuracy studies: MetaDTA. BMC Med Res Methodol 2019;19:81.

    PubMed  PubMed Central  Google Scholar 

  24. Patel A, Cooper N, Freeman S, Sutton A. Graphical enhancements to summary receiver operating characteristic plots to facilitate the analysis and reporting of meta-analysis of diagnostic test accuracy data. Res Synth Methods 2021;12:34‐44.

    PubMed  Google Scholar 

  25. Caforio AL, Pankuweit S, Arbustini E, Basso C, Gimeno-Blanes J, Felix SB. Current state of knowledge on aetiology, diagnosis, management, and therapy of myocarditis: A position statement of the European Society of Cardiology Working Group on Myocardial and Pericardial Diseases. Eur Heart J 2013;34:2648a‐2648d.

    Google Scholar 

  26. Levy WC, Mozaffarian D, Linker DT, Sutradhar SC, Anker SD, Cropp AB, et al. The Seattle Heart Failure Model: Prediction of survival in heart failure. Circulation 2006;113:1424‐33.

    PubMed  Google Scholar 

  27. Cronin EM, Bogun FM, Maury P, Peichl P, Chen M, Namboodiri N, et al. 2019 HRS/EHRA/APHRS/LAHRS expert consensus statement on catheter ablation of ventricular arrhythmias: Executive summary. Europace 2020;22:450‐95.

    PubMed  Google Scholar 

  28. Al-Khatib SM, Stevenson WG, Ackerman MJ, Bryant WJ, Callans DJ, Curtis AB, et al. 2017 AHA/ACC/HRS Guideline for management of patients with ventricular arrhythmias and the prevention of sudden cardiac death: Executive summary. Circulation 2018;138:e210‐71.

    PubMed  Google Scholar 

  29. Adhaduk M, Paudel B, Liu K, Ashwath M, Giudici M. The role of electrophysiology study in risk stratification of cardiac sarcoidosis patients: Meta-analyses and systemic review. Int J Cardiol 2022;349:55‐61.

    PubMed  Google Scholar 

  30. Becker MAJ, Cornel JH, van de Ven PM, van Rossum AC, Allaart CP, Germans T. The prognostic value of late gadolinium-enhanced cardiac magnetic resonance imaging in nonischemic dilated cardiomyopathy: A review and meta-analysis. JACC Cardiovasc Imaging 2018;11:1274‐84.

    PubMed  Google Scholar 

  31. Tonegawa R, Nakajima T, Takahashi H, Mita M, Shirasaki K, Fujii S, et al. Myocardial imaging with 18F-fluoro-2-deoxyglucose positron emission tomography and T2-weighted short tau inversion recovery black-blood images of cardiac magnetic resonance in cardiac sarcoidosis. J Cardiovasc Magn Reson 2016;18:1‐2.

    Google Scholar 

  32. Coulden R, Sonnex E, Abele J. Relative value of cardiac MRI and FDG-PET in treatment follow-up for cardiac sarcoidosis. Heart 2019;105:A1.

    Google Scholar 

  33. Orii M, Hirata K, Tanimoto T, Ota S, Shiono Y, Yamano T, et al. Comparison of cardiac MRI and 18F-FDG positron emission tomography manifestations and regional response to corticosteroid therapy in newly diagnosed cardiac sarcoidosis with complet heart block. Heart Rhythm 2015;12:2477‐85.

    PubMed  Google Scholar 

  34. Ohira H, Birnie DH, Pena E, Bernick J, Mc Ardle B, Leung E, et al. Comparison of (18)F-fluorodeoxyglucose positron emission tomography (FDG PET) and cardiac magnetic resonance (CMR) in corticosteroid-naive patients with conduction system disease due to cardiac sarcoidosis. Eur J Nucl Med Mol Imaging 2016;43:259‐69.

    CAS  PubMed  Google Scholar 

  35. Divakaran S, Stewart G, Lakdawala N, Padera R, Zhou W, Desai A, et al. Diagnostic accuracy of advanced imaging in cardiac sarcoidosis. Circ Cardiovasc Imaging 2019;12:e008975.

    PubMed  PubMed Central  Google Scholar 

  36. Adhaduk M, Paudel B, Liu K, Ashwath M, Giudici M. Meta-analysis of catheter ablation outcomes in patients with cardiac sarcoidosis refractory ventricular tachycardia. Am J Cardiol 2022;174:136‐42.

    PubMed  Google Scholar 

  37. Leiner T, Bogaert J, Friedrich MG, Mohiaddin R, Muthurangu V, Myerson S, et al. SCMR Position Paper (2020) on clinical indications for cardiovascular magnetic resonance. J Cardiovasc Magn Reson 2020;22:76.

    PubMed  PubMed Central  Google Scholar 

  38. Hanneman K, Kadoch M, Guo HH, Jamali M, Quon A, Iagaru A, et al. Initial experience with simultaneous 18F-FDG PET/MRI in the evaluation of cardiac sarcoidosis and myocarditis. Clin Nucl Med 2017;42:e328‐34.

    PubMed  Google Scholar 

  39. Lu C, Chen J, Suksaranjit P, Menda Y, Adhaduk M, Jayanna MB, et al. Regional myocardial remodeling characteristics correlates with cardiac events in sarcoidosis. J Magn Reson Imaging 2020;52:499‐509.

    PubMed  Google Scholar 

  40. Lei J, Wang YG, Bhatta L, Ahmed J, Fan D, Wang J, et al. Ventricular geometry-regularized QRSd predicts cardiac resynchronization therapy response: Machine learning from crosstalk between electrocardiography and echocardiography. Int J Cardiovasc Imaging 2019;35:1221‐9.

    PubMed  Google Scholar 

  41. Lu C, Wang YG, Zaman F, Wu X, Adhaduk M, Chang A, et al. Predicting adverse cardiac events in sarcoidosis: Deep learning from automated characterization of regional myocardial remodeling. Int J Cardiovasc Imaging 2022;38:1825.

    Google Scholar 

  42. Liu K, Ahmed J, Feiglin D. A 54-year-old man with new-onset ventricular fibrillation. Heart 2017;103:1922.

    PubMed  Google Scholar 

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Riley J. Samuelson, MA, University of Iowa Libraries

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Correspondence to Mehul Adhaduk MD, MS.

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Adhaduk, M., Paudel, B., Khalid, M.U. et al. Comparison of cardiac magnetic resonance imaging and fluorodeoxyglucose positron emission tomography in the assessment of cardiac sarcoidosis: Meta-analysis and systematic review. J. Nucl. Cardiol. 30, 1574–1587 (2023). https://doi.org/10.1007/s12350-022-03129-8

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