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In vivo comparison of MRI-based and MRS-based quantification of adipose tissue fatty acid composition against gas chromatography

Trinh, Lena LU ; Peterson, Pernilla LU ; Leander, Peter LU ; Brorson, Håkan LU orcid and Månsson, Sven LU orcid (2020) In Magnetic Resonance in Medicine 84(5). p.2484-2494
Abstract

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 (fSFA, fMUFA and fPUFA, 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... (More)

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 (fSFA, fMUFA and fPUFA, 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 (rSFA, rMUFA, and rPUFA = 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 fMUFA and fPUFA 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 fSFA, fMUFA, and fPUFA. 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.

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author
; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
adipose tissue, chemical shift-encoded imaging, fatty acid composition quantification, gas chromatography, lymphedema, MR spectroscopy
in
Magnetic Resonance in Medicine
volume
84
issue
5
pages
11 pages
publisher
John Wiley & Sons Inc.
external identifiers
  • pmid:32378739
  • scopus:85085105636
ISSN
0740-3194
DOI
10.1002/mrm.28300
language
English
LU publication?
yes
id
48586148-bbbc-49c5-9697-e8b028785e31
date added to LUP
2020-06-25 10:11:00
date last changed
2024-06-13 18:52:46
@article{48586148-bbbc-49c5-9697-e8b028785e31,
  abstract     = {{<p>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<sub>SFA</sub>, f<sub>MUFA</sub> and f<sub>PUFA</sub>, 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<sub>SFA</sub>, r<sub>MUFA</sub>, and r<sub>PUFA</sub> = 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<sub>MUFA</sub> and f<sub>PUFA</sub> 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<sub>SFA</sub>, f<sub>MUFA</sub>, and f<sub>PUFA</sub>. 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.</p>}},
  author       = {{Trinh, Lena and Peterson, Pernilla and Leander, Peter and Brorson, Håkan and Månsson, Sven}},
  issn         = {{0740-3194}},
  keywords     = {{adipose tissue; chemical shift-encoded imaging; fatty acid composition quantification; gas chromatography; lymphedema; MR spectroscopy}},
  language     = {{eng}},
  number       = {{5}},
  pages        = {{2484--2494}},
  publisher    = {{John Wiley & Sons Inc.}},
  series       = {{Magnetic Resonance in Medicine}},
  title        = {{In vivo comparison of MRI-based and MRS-based quantification of adipose tissue fatty acid composition against gas chromatography}},
  url          = {{http://dx.doi.org/10.1002/mrm.28300}},
  doi          = {{10.1002/mrm.28300}},
  volume       = {{84}},
  year         = {{2020}},
}