Distribution of cardiac iron measured by magnetic resonance imaging (MRI)-R*2

Jin Yamamura1, Regine Grosse, Joachim Graessner

  • 1University Medical Center Hamburg-Eppendorf, Hamburg, Germany. j.yamamura@uke.uni-hamburg.de

Insights

Magnetic resonance imaging R(2)* accurately assesses heart iron in β-thalassemia major patients. Measuring R(2)* in the interventricular septum best detects iron overload and heart failure risk.

Area of Science:

  • Cardiovascular Imaging
  • Medical Physics
  • Hematology

Background:

  • Iron overload diseases, such as β-thalassemia major, lead to dangerous iron accumulation in the heart.
  • Accurate assessment of cardiac iron is crucial for predicting and preventing heart failure.
  • Magnetic resonance imaging (MRI) R(2)* is a promising technique for quantifying tissue iron concentration.

Purpose of the Study:

  • To evaluate the regional distribution of cardiac iron using MRI-R(2)* in patients with iron overload conditions.
  • To determine the most reliable region within the heart for MRI-R(2)* measurements to assess iron overload.

Main Methods:

  • Breathhold electrocardiogram (ECG)-gated 1.5 T MRI was performed on 32 patients (11-79 years) with iron overload.
  • Transverse relaxation rates (R(2)*) were measured in specific cardiac wall quadrants (septal, anterior, lateral, posterior).
  • Region of interest (ROI)-based signal intensities were analyzed across 12 echo times (TE).

Main Results:

  • Significant correlations in R(2)* values were observed between the septal quadrant and all other quadrants.
  • In patients with normal R(2)* (< 50 s(-1)), other quadrants showed significantly higher normalized median rates (126%-174%) than the septum.
  • Boundary effects from surrounding tissues and organs complicated the separation of segmental iron distribution.

Conclusions:

  • Measuring MRI-R(2)* in the interventricular septum is the most robust method for detecting cardiac iron overload.
  • Septal R(2)* measurements are least affected by boundary artifacts, improving the detection of patients at risk of heart failure.
Abstract

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