- Poster presentation
- Open Access
Clinical Evaluation of 3D High Resolution Late Enhancement using Image-Based Navigation
© Bratis et al. 2016
- Published: 27 January 2016
- Late Gadolinium Enhancement
- Subjective Image Quality
- Inversion Recovery Sequence
- High Resolution Late
- Image Quality Assessement
To prospectively assess the diagnostic performance of high resolution image-navigated 3-dimensional late gadolinium enhancement (iNAV-3D LGE) magnetic resonance imaging (CMR) for the detection of myocardial necrosis in a routine clinical setting.
iNAV-3D LGE is a novel CMR technique which allows for direct respiratory motion correction of the heart. However, its performance in real-life clinical scenarios has not yet been established.
23 consecutive patients referred for CMR examination including scar imaging were prospectively enrolled. Gadolinium enhanced (0.20 mmol/kg Gd-DTPA) navigated high resolution (2 mm3 isotropic) 3D T1-weighted gradient-echo inversion recovery sequence using image-based navigation in comparison with a conventional two-dimensional (2D LGE) sequence were performed in random order by using a 1.5-T clinical MR imaging system. Images were assessed qualitatively with regard to the detection of global and segmental LGE and transmurality. Additional subjective image quality assessement including image quality, mean LGE signal intensity and LGE-myocardial/ blood pool sharpness on a 4-point scale was performed.
Comparison of the main diagnostic and quality assessment parameters for 2D and iNav3D LGE.
Global LGE detection (p, 0.13)
2D (n = 22)
iNav3D (n = 22)
Segmental LGE detection (p, 0.28)
Number of segments 0 1 2 3 4 5
2D (n = 352)
iNav 3D (n = 352)
iNav 3D LGE
Quality (n = 22)
LGE- blood pool sharpness (n = 13)
Myocardium- LGE sharpness (n = 13)
In this study, imaging performance and quality scores of iNAV-3D LGE images were comparable to those of 2D LGE in a prospective clinical setting. iNAV-3D LGE may potentially offer a reliable alternative for high quality scar imaging.
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/4.0), 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.