Comparing average breast fat content results from two different protocols at 1.5T and 3T: can the data be pooled?

J Magn Reson Imaging. 2014 Oct;40(4):890-8. doi: 10.1002/jmri.24452. Epub 2013 Nov 25.

Abstract

Purpose: To compare the total breast fat content computed from two separate studies, performed on different scanners and with different protocols, with the goal of defining a relationship to allow pooling the data.

Materials and methods: Twelve healthy volunteer women were scanned with two different protocols on the same day. The protocols differed in four important aspects: vendors (GE vs. Philips), scanner main magnetic field strengths (1.5T vs. 3T), pulse sequences (2D fast spin-echo vs. 3D spoiled gradient-echo), and water/fat separation techniques. The resulting water and fat maps were processed with in-house software to extract breast tissue slice-wise. Percent fat content was calculated for each breast, per subject.

Results: Total percent fat contents (averaged across both breasts) resulting from both protocols were plotted against each other, on a subject-by-subject basis, revealing a strong correlation (R(2) > 0.99), with an overestimation of the fat content from Protocol 1 relative to Protocol 2. The proposed T2 TE-correction for Protocol 1 improves the correlation while decreasing the discrepancy between protocols.

Conclusion: Total breast fat content of healthy women resulting from the two protocols can be pooled using a linear relationship. The proposed T2 TE-corrected Protocol 1 is expected to yield accurate fat content.

Keywords: breast; fat content; magnetic resonance imaging; water fat imaging.

Publication types

  • Comparative Study

MeSH terms

  • Adipose Tissue / anatomy & histology*
  • Adipose Tissue / physiology*
  • Adiposity / physiology*
  • Adult
  • Breast / anatomy & histology*
  • Breast / physiology*
  • Female
  • Humans
  • Image Enhancement / methods
  • Image Interpretation, Computer-Assisted / methods*
  • Magnetic Resonance Imaging / methods*
  • Middle Aged
  • Reference Values
  • Reproducibility of Results
  • Sensitivity and Specificity
  • Young Adult