Literature DB >> 24989130

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

Sofia Chavez1, Greg Stanisz.   

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.
© 2013 Wiley Periodicals, Inc.

Entities:  

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

Mesh:

Year:  2013        PMID: 24989130     DOI: 10.1002/jmri.24452

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  3 in total

1.  Diagnostic accuracy assessment of molecular prediction model for the risk of NAFLD based on MRI-PDFF diagnosed Chinese Han population.

Authors:  Qing Zhang; Yueli Zhu; Wanjiang Yu; Zhipeng Xu; Zhenzhen Zhao; Shousheng Liu; Yongning Xin; Kuirong Lv
Journal:  BMC Gastroenterol       Date:  2021-02-25       Impact factor: 3.067

2.  Associations of Serum Levels of Sex Hormones in Follicular and Luteal Phases of the Menstrual Cycle with Breast Tissue Characteristics in Young Women.

Authors:  Linda Linton; Monica Taylor; Sheila Dunn; Lisa Martin; Sonia Chavez; Greg Stanitz; Ella Huszti; Salomon Minkin; Norman Boyd
Journal:  PLoS One       Date:  2016-10-07       Impact factor: 3.240

3.  Bilateral symmetry of breast tissue composition by magnetic resonance in young women and adults.

Authors:  S Hennessey; E Huszti; A Gunasekura; A Salleh; L Martin; S Minkin; S Chavez; N F Boyd
Journal:  Cancer Causes Control       Date:  2014-01-30       Impact factor: 2.506

  3 in total

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