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 and Maria A Schmidt

PLOS ONE, 2016, vol. 11, issue 3, 1-14

Abstract: Objectives: To 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. Methods: Ten 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

Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0152152

DOI: 10.1371/journal.pone.0152152

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