Validation of Siemens T2* inline WIP package for quantification of cardiac and hepatic iron loading at 1.5T and 3T
https://doi.org/10.1186/1532-429X-16-S1-P323
© Alam et al.; licensee BioMed Central Ltd. 2014
Published: 16 January 2014
Keywords
Background
The ability of T2* cardiovascular magnetic resonance (CMR) to identify cardiac iron loading has facilitated a dramatic reduction in mortality in patients with iron overload. There remains a worldwide need for improved access to iron evaluation. One route to achieving this would be simple in-line T2* analysis. We compared our validated T2* methods which use Royal Brompton Hospital (RBH) T2* sequences with analysis by CMRtools against a novel work-in-progress (WIP) sequence and inline T2* analysis.
Methods
22 healthy volunteers and 78 patients were recruited (thalassaemia major 39, sickle cell disease 15, hereditary hemochromatosis 10, other iron overload conditions 14) who were referred for routine iron assessment (53 male, aged 13 to 81 years). A 1.5T study (MAGNETOM Avanto, Siemens AG Healthcare Sector, Erlangen, Germany) was performed on all subjects, from whom a subset of 50 underwent an additional 3T study (MAGNETOM Skyra). The same mid-ventricular short axis cardiac slice and transaxial slice through the liver were used to acquire both RBH T2* images and WIP T2* maps for each scan. Cardiac white blood (WB) and black blood (BB) sequences were acquired. All data acquisition and ROI based analysis was performed by a single observer.
Results
Plots showing correlation of RBH T2* with Siemens WIP T2* for white blood (WB), black blood (BB) and liver at 1.5T and 3T respectively.
Conclusions
The Siemens WIP T2* mapping sequence and analysis performed well against the standard RBH-CMRtools T2* package at both 1.5T and 3T. Inline T2* mapping in combination with a simple ROI analysis has the potential to improve global access to iron assessment.
Funding
This research was supported by the NIHR Cardiovascular Biomedical Research Unit at Royal Brompton & Harefield NHS Foundation Trust and Imperial College London.
Authors’ Affiliations
Copyright
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.