In Vivo Comparison Of Mri-Based And Mrs-Based Quantification Of Adipose Tissue Fatty Acid Composition Against Gas Chromatography

MAGNETIC RESONANCE IN MEDICINE(2020)

引用 8|浏览7
暂无评分
摘要
Purpose To compare MR-based fatty acid composition (FAC) quantification methods against the gold standard technique, gas chromatography (GC), with comparison of a free and a constrained signal model. The FAC was measured in the healthy and edematous legs of lymphedema patients.Methods In vivo MRS and MRI data were acquired from 19 patients at 3 T. Biopsies were collected from subcutaneous adipose tissue of both thighs during liposuction. The saturated, monounsaturated, and polyunsaturated fatty acid fractions (f(SFA), f(MUFA) and f(PUFA), respectively) were estimated with the MR-based methods using two signal models: free and constrained (number of methylene-interrupted double bonds expressed in number of double bonds, based on GC data). Linear regression, Bland-Altman plots, and correlation coefficients were used to evaluate the MR methods against the GC of the biopsies. Paired t-test was used to compare the FAC difference between edematous and healthy legs.Results The estimated parameters correlated well with the GC data (r(SFA), r(MUFA), and r(PUFA) = 0.82, 0.81 and 0.89, respectively) using the free model MRI-based approach. In comparison, the MRS-based method resulted in weaker correlations and larger biases compared with MRI. In both cases, correct estimation of f(MUFA) and f(PUFA) fractions were not possible using the constrained model. The difference in FAC of healthy and edematous legs were estimated to 0.008 (P = .01), -0.009 (P = .005), and 0.002 (P = .03) for f(SFA), f(MUFA), and f(PUFA).Conclusion In this study, MRI-based FAC quantification was highly correlated, although slightly biased, compared with GC, whereas the MRS-based approach resulted in weaker correlations. Small but significant differences could be found between the healthy and edematous legs of lymphedema patients using GC analysis.
更多
查看译文
关键词
adipose tissue, chemical shift-encoded imaging, fatty acid composition quantification, gas chromatography, lymphedema, MR spectroscopy
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要