An Innovative Journal in the Field of Radiology
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To investigate the correlation between T2* values of different regions of interest (ROIs) in myocardium with the means of semi quantitatively estimating the myocardiac iron content in the thalassemia major patients. In the same setting we tried to design a model to predict T2* value of interventricular septum (septum) based on T2* values of other convenient ROIs in myocardium.
130 patients underwent ECG-gated cardiac magnetic resonance imaging (MRI), and T2* values were measured in different ROIs. Full-thickness ROIs are drawn manually in septum, entire left ventricle (LV) wall, the region of the best visual conspicuity (sharp), and LV free wall. The relation between T2* values of these four regions are investigated. Depends on the grade of siderosis, the patients are divided into four groups; Severe: T2* ? 10, Moderate: 10 < T2* ? 15, Mild: 15 < T2* ? 20, and Normal: T2* > 20. The statistical analysis carried out using Matlab R2015b.
In patients with the cardiac T2* ? 20, the statistical analysis confirms a significant correlation (? = 0.001) between T2* values of septum and the ROIs named above. Moreover, the statistical results become more concordant with decreasing T2* values. In addition, for patients with a T2* > 20, a weak correlation is noticed between T2* values of different ROIs. Three predictor models are provided to estimate T2* value of septum using T2* values of entire LV wall, sharp region, and LV free wall.
The T2* values of the LV free wall and the entire LV wall are reliable alternatives to estimate the T2* value of septum. The predictor model based on T2* value of entire LV wall provides the most reproducible estimation.
© 2017, Author(s). This open-access article is available under the Creative Commons Attribution 4.0 (CC BY 4.0) International License (https://creativecommons.org/licenses/by/4.0/), which allows for unrestricted use, distribution, and reproduction in any medium, provided that the original work is properly cited.
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