Evidence map›Paper›PMID 29436841›Full record

ArticleThe British journal of radiology2018

Fat suppression in magnetic resonance imaging of the head and neck region: is the two-point DIXON technique superior to spectral fat suppression?

Christina M Wendl, Johannes Eiglsperger, Lena-Marie Dendl, Harald Brodoefel, Karl-Michael Schebesch, Christian Stroszczynski, Claudia Fellner

Abstract read
In one paragraph

Article in The British journal of radiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
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

12 citing papers in PubMed.

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  6. Review
  7. Regularized joint water-fat separation with BMagnetic resonance in medicine · 2021
    Article
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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

7 authors.

Christina M Wendl1 Department of Radiology, University Hospital Regensburg , Regensburg , Germany.
Johannes Eiglsperger2 numares AG , Regensburg , Germany.
Lena-Marie Dendl1 Department of Radiology, University Hospital Regensburg , Regensburg , Germany.
Harald Brodoefel1 Department of Radiology, University Hospital Regensburg , Regensburg , Germany.
Karl-Michael Schebesch4 Department of Neurosurgery, University Hospital Regensburg , Regensburg , Germany.
Christian Stroszczynski1 Department of Radiology, University Hospital Regensburg , Regensburg , Germany.
Claudia Fellner1 Department of Radiology, University Hospital Regensburg , Regensburg , Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe aim of our study was to systematically compare two-point Dixon fat suppression (FS) and spectral FS techniques in contrast enhanced imaging of the head and neck region.

methodsThree independent readers analysed coronal T

results85 patients were prospectively enrolled in the study. Images generated with Dixon-FS technique were of higher overall image quality and had a more homogenous FS over the whole field of view compared with the standard spectral fat-suppressed images (p < 0.001). Concerning motion artefacts, flow artefacts, lesion contrast and image sharpness no statistically significant difference was observed.

conclusionThe Dixon-FS technique is superior to the spectral technique due to improved homogeneity of FS and overall image quality while maintaining lesion contrast. Advances in knowledge: T

Indexed as

Adipose TissueAdolescentAdultAgedAged, 80 and overArtifactsContrast MediaFemaleHeadHumansImage EnhancementImage Interpretation, Computer-AssistedImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleMiddle AgedContrast Media

Identifiers

PMID29436841
PMCPMC6190774

What OpenQuestion holds

Textmetadata
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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.