Skip to main content
Log in

Role of CMR feature-tracking derived left ventricular strain in predicting myocardial iron overload and assessing myocardial contractile dysfunction in patients with thalassemia major

  • Cardiac
  • Published:
European Radiology Aims and scope Submit manuscript

Abstract

Objective

Myocardial iron overload (MIO) in thalassemia major (TM) may cause subclinical left ventricular (LV) dysfunction which manifests with abnormal strain parameters before a decrease in ejection fraction (EF). Early detection of MIO using cardiovascular magnetic resonance (CMR)-T2* is vital. Our aim was to assess if CMR feature-tracking (FT) strain correlates with T2*, and whether it can identify early contractile dysfunction in patients with MIO but normal EF.

Methods

One hundred and four consecutive TM patients with LVEF > 55% on echocardiography were prospectively enrolled. Those fulfilling the inclusion criteria underwent CMR, with T2* being the gold standard for detecting MIO. Group 1 included patients without significant MIO (T2* > 20 ms) and group 2 with significant MIO (T2* < 20 ms).

Results

Eighty-six patients (mean age, 17.32 years, 59 males) underwent CMR. There were 68 (79.1%) patients in group 1 and 18 (20.9%) in group 2. Fourteen patients (16.3%) had mild-moderate MIO, and four (4.6%) had severe MIO. Patients in group 2 had significantly lower global radial strain (GRS). Global longitudinal strain (GLS) and global circumferential strain (GCS) did not correlate with T2*. T1 mapping values were significantly lower in patients with T2* < 10 ms than those with T2* of 10–20 ms; however, FT-strain values were not significantly different between these two groups.

Conclusion

CMR-derived GRS, but not GLS and GCS, correlated with CMR T2*. GRS is significantly decreased in TM patients with MIO and normal EF when compared with those without. FT-strain may be a useful adjunct to CMR T2* and maybe an early marker of myocardial dysfunction in TM.

Key Points

• A global radial strain of < 29.3 derived from cardiac MRI could predict significant myocardial iron overload in patients with thalassemia, with a sensitivity of 76.5% and specificity of 66.7%.

• Patients with any myocardial iron overload have significantly lower GRS, compared to those without, suggesting the ability of CMR strain to identify subtle myocardial contractile disturbances.

• T1 and T2 mapping values are significantly lower in those with severe myocardial iron than those with mild-moderate iron, suggesting a potential role of T1 and T2 mapping in grading myocardial iron.

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.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

Abbreviations

CMR:

Cardiovascular magnetic resonance

FT-strain:

Feature-tracking strain

GCS:

Global circumferential strain

GLS:

Global longitudinal strain

GRS:

Global radial strain

HF:

Heart failure

LV:

Left ventricle

LVEF:

Left ventricular ejection fraction

MIO:

Myocardial iron overload

ST-strain:

Speckle-tracking strain

TM:

Thalassemia major

References

  1. Colah R, Italia K, Gorakshakar A (2017) Burden of thalassemia in India: the road map for control. Pediatr Hematol Oncol J 2:79–84

    Google Scholar 

  2. Borgna-Pignatti C, Rugolotto S, De Stefano P et al (2004) Survival and complications in patients with thalassemia major treated with transfusion and deferoxamine. Haematologica 89:1187–1193

    PubMed  Google Scholar 

  3. Porter JB (2001) Practical management of iron overload. Br J Haematol 115:239–252

    CAS  PubMed  Google Scholar 

  4. Murphy CJ, Oudit GY (2010) Iron-overload cardiomyopathy: pathophysiology, diagnosis, and treatment. J Card Fail 16:888–900

    CAS  PubMed  Google Scholar 

  5. Pennell DJ, Udelson JE, Arai AE et al (2013) Cardiovascular function and treatment in β-thalassemia major: a consensus statement from the American Heart Association. Circulation 128:281–308

    CAS  PubMed  Google Scholar 

  6. Kremastinos DT, Dimitrios F (2011) Iron overload cardiomyopathy in clinical practice. Circulation 124:2253–2263

    PubMed  Google Scholar 

  7. Pepe A, Lombardi M, Positano V et al (2006) Evaluation of the efficacy of oral deferiprone in beta-thalassemia major by multislice multiecho T2*. Eur J Haematol 76:183–192

    CAS  PubMed  Google Scholar 

  8. Aessopos A, Fragodimitri C, Karabatsos F et al (2007) Cardiac magnetic resonance imaging R2* assessments and analysis of historical parameters in patients with transfusion-dependent thalassemia. Haematologica 92:131–132

    CAS  PubMed  Google Scholar 

  9. Anderson LJ, Holden S, Davis B et al (2001) Cardiovascular T2-star (T2*) magnetic resonance for the early diagnosis of myocardial iron overload. Eur Heart J 22:2171–2179

    CAS  PubMed  Google Scholar 

  10. Kirk P, Roughton M, Porter JB et al (2009) Cardiac T2* magnetic resonance for prediction of cardiac complications in thalassemia major. Circulation 120:1961–1968

    CAS  PubMed  PubMed Central  Google Scholar 

  11. Carpenter J-P, He T, Kirk P et al (2011) On T2* Magnetic resonance and cardiac iron. Circulation 123:1519–1528

    PubMed  PubMed Central  Google Scholar 

  12. Westwood MA, Sheppard MN, Awogbade M et al (2005) Myocardial biopsy and T2* magnetic resonance in heart failure due to thalassaemia. Br J Haematol 128:2–2

    CAS  PubMed  Google Scholar 

  13. Ghugre NR, Enriquez CM, Gonzalez I et al (2006) MRI detects myocardial iron in the human heart. Magn Reson Med 56:681–686

    CAS  PubMed  PubMed Central  Google Scholar 

  14. Meloni A, Maggio A, Positano V et al (2020) CMR for myocardial iron overload quantification: calibration curve from the MIOT Network. Eur Radiol 30:3217–3225

    PubMed  Google Scholar 

  15. Menacho K, Abdel-Gadir A, Moon JC, Fernandes JL (2019) T2* mapping techniques: iron overload assessment and other potential clinical applications. Magn Reson Imaging Clin N Am 27:439–451

    PubMed  Google Scholar 

  16. Ramazzotti A, Pepe A, Positano V et al (2009) Multicenter validation of the magnetic resonance t2* technique for segmental and global quantification of myocardial iron. J Magn Reson Imaging 30:62–68

    PubMed  Google Scholar 

  17. Westwood MA, Anderson LJ, Firmin DN et al (2003) Interscanner reproducibility of cardiovascular magnetic resonance T2* measurements of tissue iron in thalassemia. J Magn Reson Imaging JMRI 18:616–620

    PubMed  Google Scholar 

  18. Westwood MA, Firmin DN, Gildo M et al (2005) Intercentre reproducibility of magnetic resonance T2* measurements of myocardial iron in thalassaemia. Int J Cardiovasc Imaging 21:531–538

    PubMed  Google Scholar 

  19. Claus P, Omar AMS, Pedrizzetti G et al (2015) Tissue tracking technology for assessing cardiac mechanics: principles, normal values, and clinical applications. JACC Cardiovasc Imaging 8:1444–1460

    PubMed  Google Scholar 

  20. Nathaniel R (2017) Myocardial strain. Circ Cardiovasc Imaging. https://doi.org/10.1161/CIRCIMAGING.117.007145

  21. Parsaee M, Akiash N, Azarkeivan A et al (2018) The correlation between cardiac magnetic resonance T2* and left ventricular global longitudinal strain in people with β-thalassemia. Echocardiography 35:438–444

    PubMed  Google Scholar 

  22. Garceau P, Nguyen ET, Carasso S et al (2011) Quantification of myocardial iron deposition by two-dimensional speckle tracking in patients with β-thalassaemia major and Blackfan–Diamond anaemia. Heart 97:388–393

    CAS  PubMed  Google Scholar 

  23. Abtahi F, Abdi A, Jamshidi S et al (2019) Global longitudinal strain as an Indicator of cardiac Iron overload in thalassemia patients. Cardiovasc Ultrasound 17:24

    PubMed  PubMed Central  Google Scholar 

  24. Pizzino F, Meloni A, Terrizzi A et al (2018) Detection of myocardial iron overload by two-dimensional speckle tracking in patients with beta-thalassaemia major: a combined echocardiographic and T2* segmental CMR study. Int J Cardiovasc Imaging 34:263–271

    PubMed  Google Scholar 

  25. Poorzand H, Manzari TS, Vakilian F et al (2017) Longitudinal strain in beta thalassemia major and its relation to the extent of myocardial iron overload in cardiovascular magnetic resonance. Arch Cardiovasc Imaging 5:1

    Google Scholar 

  26. Ari ME, Ekici F, Çetin İİ et al (2017) Assessment of left ventricular functions and myocardial iron load with tissue Doppler and speckle tracking echocardiography and T2* MRI in patients with β-thalassemia major. Echocardiography 34:383–389

    PubMed  Google Scholar 

  27. Schuster A, Hor KN, Kowallick JT et al (2016) Cardiovascular magnetic resonance myocardial feature tracking: concepts and clinical applications. Circ Cardiovasc Imaging. https://doi.org/10.1161/CIRCIMAGING.115.004077

  28. Aurich M, Keller M, Greiner S et al (2016) Left ventricular mechanics assessed by two-dimensional echocardiography and cardiac magnetic resonance imaging: comparison of high-resolution speckle tracking and feature tracking. Eur Heart J Cardiovasc Imaging 17:1370–1378

    PubMed  Google Scholar 

  29. Onishi T, Saha SK, Ludwig DR et al (2013) Feature tracking measurement of dyssynchrony from cardiovascular magnetic resonance cine acquisitions: comparison with echocardiographic speckle tracking. J Cardiovasc Magn Reson 15:95

    PubMed  PubMed Central  Google Scholar 

  30. Onishi T, Saha SK, Delgado-Montero A et al (2015) Global longitudinal strain and global circumferential strain by speckle-tracking echocardiography and feature-tracking cardiac magnetic resonance imaging: comparison with left ventricular ejection fraction. J Am Soc Echocardiogr 28:587–596

    PubMed  Google Scholar 

  31. Cogliandro T, Derchi G, Mancuso L et al (2008) Guideline recommendations for heart complications in thalassemia major. J Cardiovasc Med 9:515–525

    Google Scholar 

  32. Messroghli DR, Radjenovic A, Kozerke S et al (2004) Modified Look-Locker inversion recovery (MOLLI) for high-resolution T1 mapping of the heart. Magn Reson Med 52:141–146

    PubMed  Google Scholar 

  33. Feng Y, He T, Carpenter J-P et al (2013) In vivo comparison of myocardial T1 with T2 and T2* in thalassaemia major. J Magn Reson Imaging JMRI 38:588–593

    PubMed  Google Scholar 

  34. Messroghli DR, Moon JC, Ferreira VM et al (2017) Clinical recommendations for cardiovascular magnetic resonance mapping of T1, T2, T2* and extracellular volume: a consensus statement by the Society for Cardiovascular Magnetic Resonance (SCMR) endorsed by the European Association for Cardiovascular Imaging (EACVI). J Cardiovasc Magn Reson 19:75

    PubMed  PubMed Central  Google Scholar 

  35. Chu WCW, Au WY, Lam WWM (2012) MRI of cardiac iron overload. J Magn Reson Imaging 36:1052–1059

    PubMed  Google Scholar 

  36. Rezaeian N, Mohtasham MA, Khaleel AJ et al (2020) Comparison of global strain values of myocardium in beta-thalassemia major patients with iron load using specific feature tracking in cardiac magnetic resonance imaging. Int J Cardiovasc Imaging 36:1343–1349

    PubMed  Google Scholar 

  37. Di Odoardo LAF, Giuditta M, Cassinerio E et al (2017) Myocardial deformation in iron overload cardiomyopathy: speckle tracking imaging in a beta-thalassemia major population. Intern Emerg Med 12:799–809

    PubMed  Google Scholar 

  38. Kremastinos DT, Dimitrios F, Athanasios A et al (2010) β-Thalassemia cardiomyopathy. Circ Heart Fail 3:451–458

    PubMed  Google Scholar 

  39. Walker M, Wood J, Taher A (2014) Cardiac complications in thalassaemia major. Thalassaemia International Federation

  40. Kremastinos Dimitrios T, George T, Theodorakis George N et al (1995) Myocarditis in β-Thalassemia Major. Circulation 91:66–71

    Google Scholar 

  41. Economou-Petersen E, Aessopos A, Kladi A et al (1998) Apolipoprotein E epsilon4 allele as a genetic risk factor for left ventricular failure in homozygous beta-thalassemia. Blood 92:3455–3459

    CAS  PubMed  Google Scholar 

  42. Cusmà Piccione M, Piraino B, Zito C et al (2013) Early identification of cardiovascular involvement in patients with β-thalassemia major. Am J Cardiol 112:1246–1251

    PubMed  Google Scholar 

  43. Pepe A, Meloni A, Pistoia L et al (2018) MRI multicentre prospective survey in thalassaemia major patients treated with deferasirox versus deferiprone and desferrioxamine. Br J Haematol 183:783–795

    CAS  PubMed  Google Scholar 

  44. Pepe A, Meloni A, Borsellino Z et al (2015) Myocardial fibrosis by late gadolinium enhancement cardiac magnetic resonance and hepatitis C virus infection in thalassemia major patients. J Cardiovasc Med Hagerstown Md 16:689–695

    CAS  Google Scholar 

  45. Casale M, Meloni A, Filosa A et al (2015) Multiparametric cardiac magnetic resonance survey in children with thalassemia major. Circ Cardiovasc Imaging. https://doi.org/10.1161/CIRCIMAGING.115.003230

  46. Pepe A, Meloni A, Filosa A et al (2020) Prospective CMR survey in children with thalassemia major: insights from a national network. JACC Cardiovasc Imaging 13:1284–1286

    PubMed  Google Scholar 

  47. Olson LJ, Edwards WD, McCall JT et al (1987) Cardiac iron deposition in idiopathic hemochromatosis: histologic and analytic assessment of 14 hearts from autopsy. J Am Coll Cardiol 10:1239–1243

    CAS  PubMed  Google Scholar 

  48. Wang ZJ, Fischer R, Chu Z et al (2010) Assessment of cardiac iron by MRI susceptometry and R2* in patients with thalassemia. Magn Reson Imaging 28:363–371

    CAS  PubMed  PubMed Central  Google Scholar 

  49. Torlasco C, Cassinerio E, Roghi A et al (2018) Role of T1 mapping as a complementary tool to T2* for non-invasive cardiac iron overload assessment. PLoS One. https://doi.org/10.1371/journal.pone.0192890

  50. Krittayaphong R, Zhang S, Saiviroonporn P et al (2017) Detection of cardiac iron overload with native magnetic resonance T1 and T2 mapping in patients with thalassemia. Int J Cardiol 248:421–426

    PubMed  Google Scholar 

  51. Krittayaphong R, Zhang S, Saiviroonporn P et al (2019) Assessment of cardiac iron overload in thalassemia with MRI on 3.0-T: high-field T1, T2, and T2* quantitative parametric mapping in comparison to T2* on 1.5-T. JACC Cardiovasc Imaging 12:752–754

    PubMed  Google Scholar 

  52. Amzulescu MS, De Craene M, Langet H et al (2019) Myocardial strain imaging: review of general principles, validation, and sources of discrepancies. Eur Heart J Cardiovasc Imaging 20:605–619

    CAS  PubMed  PubMed Central  Google Scholar 

  53. Schulz-Menger J, Bluemke DA, Bremerich J et al (2020) Standardized image interpretation and post-processing in cardiovascular magnetic resonance - 2020 update. J Cardiovasc Magn Reson 22:19

    PubMed  PubMed Central  Google Scholar 

Download references

Funding

The authors state that this work has not received any funding.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Sanjeev Kumar.

Ethics declarations

Guarantor

The scientific guarantor of this publication is Dr. Sanjeev Kumar, Department of Cardiovascular Radiology and Endovascular Interventions, AIIMS.

Conflict of interest

The authors of this manuscript declare no relationships with any companies whose products or services may be related to the subject matter of the article.

Statistics and biometry

Statistics was done using SPSS version 23. One of the authors (VO) has significant knowledge of statistical methods.

Informed consent

Written informed consent was obtained from all subjects (patients) in this study.

Ethical approval

AIIMS Institutional Review Board approval was obtained for this study.

Study subjects or cohorts overlap

Consecutive thalassemia major patients were the study subjects. No overlap of the study cohort with any prior study.

Methodology

• Diagnostic study

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

ESM 1

(DOCX 665 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ojha, V., Ganga, K.P., Seth, T. et al. Role of CMR feature-tracking derived left ventricular strain in predicting myocardial iron overload and assessing myocardial contractile dysfunction in patients with thalassemia major. Eur Radiol 31, 6184–6192 (2021). https://doi.org/10.1007/s00330-020-07599-7

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00330-020-07599-7

Keywords

Navigation