- Poster presentation
- Open Access
Myocardial iron assessment by T2* cardiovascular magnetic resonance at 3 Tesla
© Alam et al.; licensee BioMed Central Ltd. 2014
- Published: 16 January 2014
- Cardiovascular Magnetic Resonance
- Iron Overload
- Black Blood
Chronic iron overload is prevalent and prognosis relates to the severity of cardiac siderosis. The black blood (BB) T2* technique is validated, with calibration against myocardial tissue iron at 1.5T. There are potential advantages of 3T over 1.5T in assessing T2*, but preliminary studies at 3T used white blood imaging, had small patient numbers, methodological differences, and poor signal-noise ratio in severe iron overload precluding assessment across a wide dynamic range. A novel noise correction (NC) algorithm is superior to other techniques in severe iron loading. We assessed BB T2* iron measurement at 3T against the 1.5T gold standard and incorporated the NC algorithm.
120 subjects (65 male, aged 14 to 81 years) were recruited, comprising 20 controls and 100 patients (thalassemia major 43, sickle cell disease 15, haemochromatosis 11, other iron overload conditions 31). BB T2* images at 1.5T (Avanto, Siemens, Erlangen, Germany), and 3T (Skyra) were acquired in the short axis. 20 patients had repeat studies on the same day for reproducibility. Septal regions of interest were analyzed using CMRtools and the novel NC algorithm was applied only if T2* curve fitting was unsatisfactory after truncation. All patient images were ranked for artefact severity on an ordinal scale from 0 (uninterpretable images) to 5 (no septal artefact).
In this large patient group, cardiac T2* at 3T was feasible and reproducible using BB T2* and the novel NC algorithm which allowed incorporation of the severe iron overload data for successful calibration against the 1.5T BB T2* gold standard. The T2* at 3T was approximately half that at 1.5T. Further validation of this 3T method may improve access to non-invasive cardiac iron measurement.
This research was supported by the NIHR Cardiovascular Biomedical Research Unit at Royal Brompton & Harefield NHS Foundation Trust and Imperial College London.
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.