Evidence map›Paper›PMID 27011312›Full record

ArticlePloS one2016

Comparison of Dixon Sequences for Estimation of Percent Breast Fibroglandular Tissue.

Araminta E W Ledger, Erica D Scurr, Julie Hughes, Alison Macdonald, Toni Wallace, Karen Thomas, Robin Wilson, Martin O Leach, Maria A Schmidt

Abstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
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  7. Review
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  9. Article
  10. Breast density estimation from high spectral and spatial resolution MRI.Journal of medical imaging (Bellingham, Wash.) · 2016
    Article
  11. Article
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

9 authors.

Araminta E W LedgerCR-UK Cancer Imaging Centre, The Institute of Cancer Research and Royal Marsden NHS Foundation Trust, London, United Kingdom.
Erica D ScurrDepartment of Radiology, Royal Marsden NHS Foundation Trust, London, United Kingdom.
Julie HughesDepartment of Radiology, Royal Marsden NHS Foundation Trust, London, United Kingdom.
Alison MacdonaldDepartment of Radiology, Royal Marsden NHS Foundation Trust, London, United Kingdom.
Toni WallaceDepartment of Radiology, Royal Marsden NHS Foundation Trust, London, United Kingdom.
Karen ThomasClinical Research and Development, Royal Marsden NHS Foundation Trust, London, United Kingdom.
Robin WilsonDepartment of Radiology, Royal Marsden NHS Foundation Trust, London, United Kingdom.
Martin O LeachCR-UK Cancer Imaging Centre, The Institute of Cancer Research and Royal Marsden NHS Foundation Trust, London, United Kingdom.
Maria A SchmidtCR-UK Cancer Imaging Centre, The Institute of Cancer Research and Royal Marsden NHS Foundation Trust, London, United Kingdom.

Funding

Cancer Research UK 16464Department of Health TRF-2013-06-003Medical Research Council G0701533
6 · The paper itself

Abstract

objectivesTo evaluate sources of error in the Magnetic Resonance Imaging (MRI) measurement of percent fibroglandular tissue (%FGT) using two-point Dixon sequences for fat-water separation.

methodsTen female volunteers (median age: 31 yrs, range: 23-50 yrs) gave informed consent following Research Ethics Committee approval. Each volunteer was scanned twice following repositioning to enable an estimation of measurement repeatability from high-resolution gradient-echo (GRE) proton-density (PD)-weighted Dixon sequences. Differences in measures of %FGT attributable to resolution, T1 weighting and sequence type were assessed by comparison of this Dixon sequence with low-resolution GRE PD-weighted Dixon data, and against gradient-echo (GRE) or spin-echo (SE) based T1-weighted Dixon datasets, respectively.

results%FGT measurement from high-resolution PD-weighted Dixon sequences had a coefficient of repeatability of ±4.3%. There was no significant difference in %FGT between high-resolution and low-resolution PD-weighted data. Values of %FGT from GRE and SE T1-weighted data were strongly correlated with that derived from PD-weighted data (r = 0.995 and 0.96, respectively). However, both sequences exhibited higher mean %FGT by 2.9% (p < 0.0001) and 12.6% (p < 0.0001), respectively, in comparison with PD-weighted data; the increase in %FGT from the SE T1-weighted sequence was significantly larger at lower breast densities.

conclusionAlthough measurement of %FGT at low resolution is feasible, T1 weighting and sequence type impact on the accuracy of Dixon-based %FGT measurements; Dixon MRI protocols for %FGT measurement should be carefully considered, particularly for longitudinal or multi-centre studies.

Indexed as

AdultBreastBreast NeoplasmsFemaleHumansMagnetic Resonance ImagingMammographyMiddle Aged

Identifiers

PMID27011312
PMCPMC4806997

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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.