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Quantitative comparison of 2D and 3D late gadolinium enhancement MR imaging for cardiomyopathies

  • Fabian Morsbach
  • Sonja Gordic
  • Robert Götti
  • Markus Niemann
  • Hatem Alkadhi
  • Gruner Christiane
  • Robert Manka
Open Access
Poster presentation

Keywords

Late Gadolinium Enhancement Fabry Disease Myocardial Mass Subjective Image Quality Late Gadolinium Enhancement Imaging 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Background

LGE is widely used as a means to quantify scar or fibrotic tissue in patients suffering from cardiomyopathies. In clinical routine 2D data acquisition is most commonly practiced, albeit having the drawback of multiple breath-holds and long acquisition times. 3D acquisition can significantly reduce acquisition time. This leads to shortened scan time and a more efficient use of available MRI resources. So our purpose was to determine whether the quantification of myocardial fibrosis in patients with Fabry disease and hypertrophic cardiomyopathy (HCM) using a late gadolinium enhancement (LGE) single-breath-hold three-dimensional (3D) inversion recovery magnetic resonance (MR) imaging sequence is comparable with a clinically established two-dimensional (2D) multi-breath-hold sequence.

Methods

40 consecutive patients (18 men; mean age 50 ± 17) with either Fabry disease (n = 18) or HCM (n = 22) were enrolled in this prospective study. Studies were conducted on a 1.5-T clinical MR imaging system. Spatial resolution was the same for 3D and 2D images (field-of-view, 350 × 350 mm2; in-plane-resolution, 1.2 × 1.2 mm2; section-thickness, 8 mm). Datasets were analyzed for subjective image and quantitative evaluation of myocardial mass (grams), fibrotic mass (grams) and total fibrotic tissues percentage. Statistical analysis included Wilcoxon-signed-rank test, student's t-test for paired samples and Bland-Altman analysis.

Results

There was no significant difference in subjective image quality between acquisitions (P > 0.1) for either disease. In patients with Fabry disease there was no significant differences in myocardial mass between 3D (100.7 g ± 30.8 g) and 2D acquisition(99.9 g ± 31.9 g; P = 0.55), as well as for fibrous tissue mass(3.9 g ± 6.4 g vs 4.0 ± 6.4 g; P = 0.89) and total fibrous percentage(3.4% ± 5.5%vs3.4 ± 5.5;P = 0.89). Bland-Altman analysis showed good agreement between 3D and 2D datasets for myocardial mass(mean difference: 0.8 g; limits of agreement: -10.2 g - 11.8 g), fibrous tissue mass (mean difference: -0.02 g; limits of agreement: -1.45 g-1.41 g), total fibrous percentage (mean difference:0.02%; limits of agreement: -1.31%-1.35%). In patients with HCM there was no significant differences in myocardial mass between 3D (115.5 g ± 33.3 g) and 2D acquisition (116.7 g ± 33.6 g;P = 0.48), as well as for fibrous tissue mass (5.6 g ± 8.6 g vs 5.7 g ± 8.7 g;P = 0.6) and total fibrous percentage (4.3% ± 6.4% vs 4.3% ± 6.5%;P = 0.89). Bland-Altman analysis showed good agreement between 3D and 2D datasets for myocardial mass (mean difference: -1.2 g;limits of agreement:-16.1 g - 13.7 g), fibrous tissue mass(mean difference -0.08 g;limits of agreement: -1.33 g - 1.17 g), total fibrous percentage(mean difference:-0.01 g;limits of agreement:-1.01 g-0.99 g). Acquisition time was significantly shorter for 3D sequences (24.9 seconds ± 5.2 seconds) as compared to 2D sequence (349.1 seconds ± 62.3 seconds, P < 0.001).

Conclusions

3D LGE imaging enables comparable quantification of fibrous myocardial tissue compared to a 2D sequence at a faster acquisition rate.

Funding

Nothing to disclose.

Copyright information

© Morsbach et al.; licensee BioMed Central Ltd. 2014

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.

Authors and Affiliations

  • Fabian Morsbach
    • 1
  • Sonja Gordic
    • 1
  • Robert Götti
    • 1
  • Markus Niemann
    • 2
  • Hatem Alkadhi
    • 1
  • Gruner Christiane
    • 2
  • Robert Manka
    • 2
  1. 1.Institute for Diagnostic and Interventional RadiologyUniversity Hospital ZurichZurichSwitzerland
  2. 2.Cardiology ClinicUniversity HospitalZurichSwitzerland

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