4.7 Article

Evaluation of Breast Lipid Composition in Patients with Benign Tissue and Cancer by Using Multiple Gradient-Echo MR Imaging

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RADIOLOGY
卷 281, 期 1, 页码 43-53

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RADIOLOGICAL SOC NORTH AMERICA
DOI: 10.1148/radiol.2016151959

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  1. National Institutes of Health [R01CA160620]

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Purpose: To demonstrate the feasibility of the use of a rapid, non-invasive, in vivo imaging method to measure fatty acid fractions of breast adipose tissue during diagnostic breast magnetic resonance (MR) examinations and to investigate associations between fatty acid fractions in breast adipose tissue and breast cancer status by using this method. Materials and Methods: The institutional review board approved this retrospective HIPAA-compliant study and informed consent was waived. Between July 2013 and September 2014, multiple-echo three-dimensional gradient-echo data were acquired for 89 women. Spectra were generated and used to estimate fractions of monounsaturated fatty acid (MUFA), polyunsaturated fatty acid (PUFA), and saturated fatty acid (SFA) in the breast adipose tissue. Analysis of covariance and exact Mann-Whitney tests were used to compare groups and the Spearman rank correlation coefficient was used to characterize the association of each imaging measure with each attribute. Results: For postmenopausal women, MUFA was lower (0.38 +/- 0.06 vs 0.46 +/- 0.10; P < .05) and SFA was higher (0.31 +/- 0.07 vs 0.19 +/- 0.11; P < .05) for women with invasive ductal carcinoma than for those with benign tissue. No correlation was found between body mass index (BMI) and fatty acid fractions in breast adipose tissue. In women with benign tissue, postmenopausal women had a higher PUFA (0.35 +/- 0.06 vs 0.27 +/- 0.05; P < .01) and lower SFA (0.19 +/- 0.11 vs 0.30 +/- 0.12; P < .05) than premenopausal women. Conclusion: There is a possible link between the presence of invasive ductal carcinoma and fatty acid fractions in breast adipose tissue for postmenopausal women in whom BMI values are not correlated with the fatty acid fractions. (C) RSNA, 2016

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