3D Dixon water-fat LGE imaging with image navigator and compressed sensing in cardiac MRI.

Autor: Zeilinger MG; Institute of Diagnostic Radiology, University Hospital of Erlangen, Erlangen, Germany. martin.zeilinger@uk-erlangen.de., Wiesmüller M; Institute of Diagnostic Radiology, University Hospital of Erlangen, Erlangen, Germany., Forman C; Cardiovascular MR Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany., Schmidt M; Cardiovascular MR Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany., Munoz C; School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK., Piccini D; Advanced Clinical Imaging Technology, Siemens Healthcare IM BM PI, Lausanne, Switzerland., Kunze KP; School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.; MR Research Collaborations, Siemens Healthcare GmbH, Frimley, UK., Neji R; School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.; MR Research Collaborations, Siemens Healthcare GmbH, Frimley, UK., Botnar RM; School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK., Prieto C; School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK., Uder M; Institute of Diagnostic Radiology, University Hospital of Erlangen, Erlangen, Germany., May M; Institute of Diagnostic Radiology, University Hospital of Erlangen, Erlangen, Germany., Wuest W; Institute of Diagnostic Radiology, University Hospital of Erlangen, Erlangen, Germany.
Jazyk: angličtina
Zdroj: European radiology [Eur Radiol] 2021 Jun; Vol. 31 (6), pp. 3951-3961. Date of Electronic Publication: 2020 Dec 02.
DOI: 10.1007/s00330-020-07517-x
Abstrakt: Objectives: To evaluate an image-navigated isotropic high-resolution 3D late gadolinium enhancement (LGE) prototype sequence with compressed sensing and Dixon water-fat separation in a clinical routine setting.
Material and Methods: Forty consecutive patients scheduled for cardiac MRI were enrolled prospectively and examined with 1.5 T MRI. Overall subjective image quality, LGE pattern and extent, diagnostic confidence for detection of LGE, and scan time were evaluated and compared to standard 2D LGE imaging. Robustness of Dixon fat suppression was evaluated for 3D Dixon LGE imaging. For statistical analysis, the non-parametric Wilcoxon rank sum test was performed.
Results: LGE was rated as ischemic in 9 patients and non-ischemic in 11 patients while it was absent in 20 patients. Image quality and diagnostic confidence were comparable between both techniques (p = 0.67 and p = 0.66, respectively). LGE extent with respect to segmental or transmural myocardial enhancement was identical between 2D and 3D (water-only and in-phase). LGE size was comparable (3D 8.4 ± 7.2 g, 2D 8.7 ± 7.3 g, p = 0.19). Good or excellent fat suppression was achieved in 93% of the 3D LGE datasets. In 6 patients with pericarditis, the 3D sequence with Dixon fat suppression allowed for a better detection of pericardial LGE. Scan duration was significantly longer for 3D imaging (2D median 9:32 min vs. 3D median 10:46 min, p = 0.001).
Conclusion: The 3D LGE sequence provides comparable LGE detection compared to 2D imaging and seems to be superior in evaluating the extent of pericardial involvement in patients suspected with pericarditis due to the robust Dixon fat suppression.
Key Points: • Three-dimensional LGE imaging provides high-resolution detection of myocardial scarring. • Robust Dixon water-fat separation aids in the assessment of pericardial disease. • The 2D image navigator technique enables 100% respiratory scan efficacy and permits predictable scan times.
Databáze: MEDLINE
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