- Poster presentation
- Open Access
T1 values in discrimination between health and disease using different T1 sequences: comparison between 3'3'5-MOLLI, 3'5-MOLLI, shMOLLI and SASHA
© Mahmoud et al.; licensee BioMed Central Ltd. 2014
- Published: 16 January 2014
- Ischaemic Cardiomyopathy
- Discriminatory Accuracy
- National Health Service Foundation
- Hospital National Health Service Foundation
- Hospital National Health
Myocardial T1 mapping is emerging as a promising means to non-invasively discriminate between normal and diseased myocardium. Original modified Look-Locker sequence (3'3'5-MOLLI) can induce a long breath-hold and is prone to cardiac and respiratory motion. Several shorter sequences (3'5MOLLI, shMOLLI and SASHA) have been proposed for acquisition of T1 values. We examined native and postcontrast T1 values derived by above sequences within the same subject and investigated their ability to separate between health and disease. We further examined reproducibility of measurements within and between observers.
Thirty-five consecutive subjects were enrolled in this study. Twenty-six healthy subjects served as controls. Single equatorial short-axis slice T1 mapping was performed using a 3-T scanner. T1 values were quantified within the septal, lateral myocardium and LV blood pool (native and post contrast). T1 relaxation maps were obtained using Relax-Maps tools supported by the PRIDE environment (Philips Healthcare). Inter and intra-observer variations were analysed. Statistical analysis was performed using SPSS.
All sequences are able to discriminate between health and disease within the given sample size, where original 3'3'5 MOLLI retains superior discriminatory accuracy for native and postcontrast acquisition. 3'5MOLLI shows the nearest approximation to original 3'3'5 MOLLI values. 3'3'5 MOLLI shows superior inter and intra-observer agreement in compared to 3'5 MOLLI, shMOLLI and SASHA sequence.
Department of Health via the National Institute for Health Research (NIHR) comprehensive Biomedical Research Centre award to Guy's & St Thomas' NHS Foundation Trust in partnership with King's College London and King's College Hospital National Health Service Foundation Trust. Dr Islam Mahmoud was supported by Ministry of science of Egypt.
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.