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Evaluation of myocardial strain using cardiovascular magnetic resonance imaging in patients with β-thalassemia major

β-Thalassemia major, also known as Cooley anemia, is a severe hereditary blood disorder characterized by impaired synthesis of the beta-globin subunit of hemoglobin. This defect leads to abnormal hemoglobin production, causing chronic hemolytic anemia. β-Thalassemia major patients need regular blood transfusion during their whole life. Frequent blood transfusions lead to inevitable myocardial iron overload (MIO), which can lead to cardiomyopathy, arrhythmias, and heart failure, representing a major cause of morbidity and mortality [1]. Cardiovascular magnetic resonance imaging (CMR) is a useful imaging tool to evaluate MIO. T2* CMR is considered the gold standard for noninvasive detection and quantification of MIO. This allows early detection of MIO in patients with β-thalassemia before clinical signs of cardiac dysfunction appear [2, 3]. However, even patients with similar T2* values ​​may present with varying degrees of cardiomyopathy. The pathophysiological complexity of iron-induced cardiac injury in β-thalassemia major necessitates the use of advanced imaging techniques for the early detection of myocardial dysfunction [4,5,6,7].

Myocardial strain refers to the change in length of myocardial fibers between their relaxed and contractile states. Describing left ventricular (LV) strain in three dimensions using normal and shear strain provides a comprehensive assessment of myocardial mechanics. The assessment of LV strain components (longitudinal, circumferential, and radial) offers a detailed evaluation of myocardial function. Longitudinal strain serves as an early marker of dysfunction, circumferential strain provides insights into the transmural and epicardial involvement, and radial strain indicates advanced disease stages. Measuring myocardial strain allows for the detection of subtle myocardial dysfunction that may not be apparent with commonly used LV ejection fraction [8, 9]. While speckle tracking echocardiography is commonly used for myocardial strain, it may be limited by acoustic windows and image quality [8, 9]. CMR feature tracking (FT) is an advanced imaging technique used to evaluate myocardial strain by utilizing postprocessing of cine MR images routinely acquired during CMR scans. Therefore, CMR-FT is becoming increasingly available and is now frequently combined with LV volume assessment, parametric mapping, gadolinium delayed enhancement, and myocardial perfusion in a single examination, providing a comprehensive assessment of myocardial function and tissue characteristics [10,11,12]. Correlation between strain values ​​obtained from speckle tracking echocardiography and CMR-FT may vary due to technical differences, postprocessing techniques, resolution constraints, and patient-specific factors [13, 14]. Iron deposition in the subepicardial layer in patients with β-thalassemia major primarily affects the circumferential strain. Longitudinal strain may be affected as iron deposition progresses, and radial strain is usually affected later, when iron overload causes further progression and transmural involvement of the myocardial wall [15,16,17]. Several studies have investigated the correlation between CMR-FT strain values and T2* CMR values, specifically focusing on their roles in assessing contractile abnormalities in patients with β-thalassemia major [18, 19].

In this issue of the Journal of Cardiovascular Imaging, Batouty et al. [20] assessed the ability of CMR-FT in the early detection of LV systolic dysfunction in β-thalassemia major patients and correlated it with the degree of MIO measured by CMR T2* values. The study cohort consisted of 57 patients with β-thalassemia major and 20 healthy controls. MIO was diagnosed by CMR T2* values ​​based on LV septum less than 20 ms. CMR was performed using a 1.5-T magnet, and two-dimensional FT analysis was performed offline using dedicated CMR software. This study had several results. First, LV strain parameters (global circumferential stain [GCS] and global radial strain [GRS]) were significantly lower in thalassemia patients compared to the control group. Second, thalassemia patients without MIO showed significantly lower GCS and GRS compared to the control group. Third, there was significant correlation between GCS and GRS and T2* values even in absence of significant correlation with LV ejection fraction. Fourth, GCS and GRS values were lower in the basal and mid myocardial segments compared to the apical segments. Interestingly there was no significant difference between patients and the control group regarding global longitudinal strain (GLS) values, and there was no significant correlation between GLS values and T2* values. There were no significant differences between patients with and without MIO in GLS, GCS, and GRS values. These results differ from other previous studies and suggest the pathophysiological complexity of iron-induced cardiac injury and the influence of coexisting factors on the myocardium [19, 21, 22]. Additional studies are needed to explain these findings in larger patient populations and explore the mechanisms underlying the various relationships.

However, these interesting results of the current study need to be interpreted in the context of several limitations, including the small number of β-thalassemia major patients (57, especially with 11 MIO patients), no follow-up CMR studies, single-vendor MR application, and single-center study. Overall, this study highlights the important role of CMR-FT strain parameters as markers for early detection of LV systolic dysfunction in patients with β-thalassemia major, especially in combination with CMR T2* values.

Availability of data and materials

Not applicable.

Data Availability

No datasets were generated or analysed during the current study.

Abbreviations

CMR:

Cardiovascular magnetic resonance

FT:

Feature tracking

GCS:

Global circumferential stain

GLS:

Global longitudinal strain

GRS:

Global radial strain

LV:

Left ventricular

MIO:

Myocardial iron overload

MR:

Magnetic resonance

References

  1. Kremastinos DT, Farmakis D, Aessopos A, Hahalis G, Hamodraka E, Tsiapras D, et al. Beta-thalassemia cardiomyopathy: history, present considerations, and future perspectives. Circ Heart Fail. 2010;3:451–8.

    Article  PubMed  Google Scholar 

  2. Ramazzotti A, Pepe A, Positano V, Rossi G, De Marchi D, Brizi MG, et al. Multicenter validation of the magnetic resonance T2* technique for segmental and global quantification of myocardial iron. J Magn Reson Imaging. 2009;30:62–8.

    Article  PubMed  Google Scholar 

  3. Fernandes JL. MRI for iron overload in thalassemia. Hematol Oncol Clin North Am. 2018;32:277–95.

    Article  PubMed  Google Scholar 

  4. Pennell DJ, Udelson JE, Arai AE, Bozkurt B, Cohen AR, Galanello R, et al. Cardiovascular function and treatment in β-thalassemia major: a consensus statement from the American Heart Association. Circulation. 2013;128:281–308.

    Article  CAS  PubMed  Google Scholar 

  5. Lekawanvijit S, Chattipakorn N. Iron overload thalassemic cardiomyopathy: iron status assessment and mechanisms of mechanical and electrical disturbance due to iron toxicity. Can J Cardiol. 2009;25:213–8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Gujja P, Rosing DR, Tripodi DJ, Shizukuda Y. Iron overload cardiomyopathy: better understanding of an increasing disorder. J Am Coll Cardiol. 2010;56:1001–12.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. Kremastinos DT, Farmakis D. Iron overload cardiomyopathy in clinical practice. Circulation. 2011;124:2253–63.

    Article  PubMed  Google Scholar 

  8. Amzulescu MS, De Craene M, Langet H, Pasquet A, Vancraeynest D, Pouleur AC, et al. Myocardial strain imaging: review of general principles, validation, and sources of discrepancies. Eur Heart J Cardiovasc Imaging. 2019;20:605–19.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Rajiah PS, Kalisz K, Broncano J, Goerne H, Collins JD, François CJ, et al. Myocardial strain evaluation with cardiovascular MRI: physics, principles, and clinical applications. Radiographics. 2022;42:968–90.

    Article  PubMed  Google Scholar 

  10. Mandoli GE, D’Ascenzi F, Vinco G, Benfari G, Ricci F, Focardi M, et al. Novel approaches in cardiac imaging for non-invasive assessment of left heart myocardial fibrosis. Front Cardiovasc Med. 2021;8:614235.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Karamitsos TD, Arvanitaki A, Karvounis H, Neubauer S, Ferreira VM. Myocardial tissue characterization and fibrosis by imaging. JACC Cardiovasc Imaging. 2020;13:1221–34.

    Article  PubMed  Google Scholar 

  12. Lee E, Ibrahim EH, Parwani P, Bhave N, Stojanovska J. Practical guide to evaluating myocardial disease by cardiac MRI. AJR Am J Roentgenol. 2020;214:546–56.

    Article  PubMed  Google Scholar 

  13. van Everdingen WM, Zweerink A, Nijveldt R, Salden OA, Meine M, Maass AH, et al. Comparison of strain imaging techniques in CRT candidates: CMR tagging, CMR feature tracking and speckle tracking echocardiography. Int J Cardiovasc Imaging. 2018;34:443–56.

    Article  PubMed  Google Scholar 

  14. Aurich M, Keller M, Greiner S, Steen H, Aus dem Siepen F, Riffel J, et al. 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. 2016;17:1370–8.

    Article  PubMed  Google Scholar 

  15. Claus P, Omar AM, Pedrizzetti G, Sengupta PP, Nagel E. Tissue tracking technology for assessing cardiac mechanics: principles, normal values, and clinical applications. JACC Cardiovasc Imaging. 2015;8:1444–60.

    Article  PubMed  Google Scholar 

  16. Meloni A, Maggio A, Positano V, Leto F, Angelini A, Putti MC, et al. CMR for myocardial iron overload quantification: calibration curve from the MIOT Network. Eur Radiol. 2020;30:3217–25.

    Article  PubMed  Google Scholar 

  17. Chudgar PD, Burkule NJ, Kamat NV, Rege GM, Jantre MN. Myocardial strain imaging using feature tracking method of cardiac MRI: our initial experience of this novel parameter as an additional diagnostic tool. Indian J Radiol Imaging. 2022;32:479–87.

    Article  PubMed  PubMed Central  Google Scholar 

  18. Parsaee M, Akiash N, Azarkeivan A, Alizadeh Sani Z, Amin A, Pazoki M, et al. The correlation between cardiac magnetic resonance T2* and left ventricular global longitudinal strain in people with β-thalassemia. Echocardiography. 2018;35:438–44.

    Article  PubMed  Google Scholar 

  19. Ojha V, Ganga KP, Seth T, Roy A, Naik N, Jagia P, 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. 2021;31:6184–92.

    Article  PubMed  Google Scholar 

  20. Batouty NM, Tawfik AM, Sobh DM, Gadelhak BN, El-Ashwah S, Hussein MA, et al. Global and regional cardiac magnetic resonance feature tracking left ventricular strain analysis in assessing early myocardial disease in β thalassemia major patients. J Cardiovasc Imaging. 2024;32:18.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Rezaeian N, Mohtasham MA, Khaleel AJ, Parnianfard N, Kasani K, Golshan R. 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. 2020;36:1343–9.

    Article  PubMed  Google Scholar 

  22. Alis D, Asmakutlu O, Topel C, Sahin AA, Karaarslan E. Association between left ventricular strain and cardiac iron load in beta-thalassaemia major: a cardiac magnetic resonance study. Acta Cardiol. 2022;77:71–80.

    Article  CAS  PubMed  Google Scholar 

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Ko, S.M. Evaluation of myocardial strain using cardiovascular magnetic resonance imaging in patients with β-thalassemia major. J Cardiovasc Imaging 32, 26 (2024). https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s44348-024-00033-2

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