Evidence map›Paper›PMID 33263160›Full record

ArticleEuropean radiology2021

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

Martin Georg Zeilinger, Marco Wiesmüller, Christoph Forman, Michaela Schmidt, Camila Munoz, Davide Piccini, Karl-Philipp Kunze, Radhouene Neji, René Michael Botnar, Claudia Prieto and 3 more

Open access · hybridAbstract read
In one paragraph

Article in European radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.5field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 29 citations in OpenAlex.

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  11. Recent advances in PET-MRI for cardiac sarcoidosis.Frontiers in nuclear medicine · 2022
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 4 institutions in 3 countries.

Martin Georg ZeilingerInstitute of Diagnostic Radiology, University Hospital of Erlangen, Erlangen, Germany. martin.zeilinger@uk-erlangen.de.ORCID http://orcid.org/0000-0001-8097-067X
Marco WiesmüllerInstitute of Diagnostic Radiology, University Hospital of Erlangen, Erlangen, Germany.
Christoph FormanCardiovascular MR Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany.
Michaela SchmidtCardiovascular MR Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany.
Camila MunozSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Davide PicciniAdvanced Clinical Imaging Technology, Siemens Healthcare IM BM PI, Lausanne, Switzerland.
Karl-Philipp KunzeSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Radhouene NejiSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
René Michael BotnarSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Claudia PrietoSchool of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.
Michael UderInstitute of Diagnostic Radiology, University Hospital of Erlangen, Erlangen, Germany.
Matthias MayInstitute of Diagnostic Radiology, University Hospital of Erlangen, Erlangen, Germany.
Wolfgang WuestInstitute of Diagnostic Radiology, University Hospital of Erlangen, Erlangen, Germany.
King's College London · GBUniversitätsklinikum Erlangen · DESiemens Healthineers (Germany) · DESiemens (Switzerland) · CH

Funding

Medical Research Council MR/L009676/1
6 · The paper itself

Abstract

objectivesTo 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

methodsForty 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.

resultsLGE 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).

conclusionThe 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.

Indexed as

GadoliniumImaging, Three-DimensionalContrast MediaHumansImage EnhancementMagnetic Resonance ImagingWaterContrast MediaGadoliniumWaterCardiacMagnetic resonance imagingMyocardiumPericardiumThree-dimensional imaging

Identifiers

PMID33263160
PMCPMC8128857
OpenAlexW3108275442

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.