{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,10]],"date-time":"2026-10-10T00:08:53Z","timestamp":1791590933435,"version":"4.3.4"},"reference-count":32,"publisher":"Wiley","issue":"5","license":[{"start":{"date-parts":[[2020,5,7]],"date-time":"2020-05-07T00:00:00Z","timestamp":1588809600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Magnetic Resonance in Med"],"published-print":{"date-parts":[[2020,11]]},"abstract":"<jats:sec><jats:title>Purpose<\/jats:title><jats:p>To compare MR\u2010based 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.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>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 (<jats:italic>f<jats:sub>SFA<\/jats:sub><\/jats:italic>, <jats:italic>f<jats:sub>MUFA<\/jats:sub><\/jats:italic> and <jats:italic>f<jats:sub>PUFA<\/jats:sub><\/jats:italic>, respectively) were estimated with the MR\u2010based methods using two signal models: free and constrained (number of methylene\u2010interrupted double bonds expressed in number of double bonds, based on GC data). Linear regression, Bland\u2013Altman plots, and correlation coefficients were used to evaluate the MR methods against the GC of the biopsies. Paired <jats:italic>t<\/jats:italic>\u2010test was used to compare the FAC difference between edematous and healthy legs.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>The estimated parameters correlated well with the GC data (<jats:italic>r<jats:sub>SFA<\/jats:sub><\/jats:italic>, <jats:italic>r<jats:sub>MUFA<\/jats:sub><\/jats:italic>, and <jats:italic>r<jats:sub>PUFA<\/jats:sub><\/jats:italic> = 0.82, 0.81 and 0.89, respectively) using the free model MRI\u2010based approach. In comparison, the MRS\u2010based method resulted in weaker correlations and larger biases compared with MRI. In both cases, correct estimation of <jats:italic>f<jats:sub>MUFA<\/jats:sub><\/jats:italic> and <jats:italic>f<jats:sub>PUFA<\/jats:sub><\/jats:italic> fractions were not possible using the constrained model. The difference in FAC of healthy and edematous legs were estimated to 0.008 (<jats:italic>P<\/jats:italic> = .01), \u22120.009 (<jats:italic>P<\/jats:italic> = .005), and 0.002 (<jats:italic>P<\/jats:italic> = .03) for <jats:italic>f<jats:sub>SFA<\/jats:sub><\/jats:italic>, <jats:italic>f<jats:sub>MUFA<\/jats:sub><\/jats:italic>, and <jats:italic>f<jats:sub>PUFA<\/jats:sub><\/jats:italic>.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>In this study, MRI\u2010based FAC quantification was highly correlated, although slightly biased, compared with GC, whereas the MRS\u2010based approach resulted in weaker correlations. Small but significant differences could be found between the healthy and edematous legs of lymphedema patients using GC analysis.<\/jats:p><\/jats:sec>","DOI":"10.1002\/mrm.28300","type":"journal-article","created":{"date-parts":[[2020,5,7]],"date-time":"2020-05-07T11:10:37Z","timestamp":1588849837000},"page":"2484-2494","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":17,"title":["In vivo comparison of MRI\u2010based and MRS\u2010based quantification of adipose tissue fatty acid composition against gas chromatography"],"prefix":"10.1002","volume":"84","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9843-5381","authenticated-orcid":false,"given":"Lena","family":"Trinh","sequence":"first","affiliation":[{"name":"Medical Radiation Physics Department of Translational Medicine Lund University Sk\u00e5ne University Hospital Malm\u00f6 Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pernilla","family":"Peterson","sequence":"additional","affiliation":[{"name":"Medical Radiation Physics Department of Translational Medicine Lund University Sk\u00e5ne University Hospital Malm\u00f6 Sweden"},{"name":"Medical Imaging and Physiology Sk\u00e5ne University Hospital Lund Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Peter","family":"Leander","sequence":"additional","affiliation":[{"name":"Diagnostic Radiology Department of Translational Medicine Lund University Sk\u00e5ne University Hospital Malm\u00f6 Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"H\u00e5kan","family":"Brorson","sequence":"additional","affiliation":[{"name":"Department of Clinical Sciences Lund University Malm\u00f6 Sweden"},{"name":"Department of Plastic and Reconstructive Surgery Sk\u00e5ne University Hospital Malm\u00f6 Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sven","family":"M\u00e5nsson","sequence":"additional","affiliation":[{"name":"Medical Radiation Physics Department of Translational Medicine Lund University Sk\u00e5ne University Hospital Malm\u00f6 Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2020,5,7]]},"reference":[{"key":"e_1_2_7_2_1","doi-asserted-by":"publisher","DOI":"10.1002\/nbm.1622"},{"key":"e_1_2_7_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.mri.2011.07.004"},{"key":"e_1_2_7_4_1","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.24196"},{"key":"e_1_2_7_5_1","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.24297"},{"key":"e_1_2_7_6_1","doi-asserted-by":"publisher","DOI":"10.1002\/nbm.3766"},{"key":"e_1_2_7_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.plefa.2018.03.004"},{"key":"e_1_2_7_8_1","doi-asserted-by":"publisher","DOI":"10.3945\/an.114.006940"},{"key":"e_1_2_7_9_1","doi-asserted-by":"publisher","DOI":"10.1002\/jmri.26622"},{"key":"e_1_2_7_10_1","doi-asserted-by":"publisher","DOI":"10.1038\/ijo.2012.72"},{"key":"e_1_2_7_11_1","doi-asserted-by":"publisher","DOI":"10.1002\/nbm.3744"},{"key":"e_1_2_7_12_1","doi-asserted-by":"publisher","DOI":"10.1007\/s12020-013-0040-x"},{"key":"e_1_2_7_13_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-789X.2009.00623.x"},{"key":"e_1_2_7_14_1","doi-asserted-by":"publisher","DOI":"10.1002\/jmri.25453"},{"key":"e_1_2_7_15_1","doi-asserted-by":"publisher","DOI":"10.1002\/nbm.3175"},{"key":"e_1_2_7_16_1","doi-asserted-by":"publisher","DOI":"10.1002\/jmri.26532"},{"key":"e_1_2_7_17_1","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.27557"},{"key":"e_1_2_7_18_1","unstructured":"BerglundJ Ryd\u00e9nH SkorpilM.Increased measurement precision for fatty acid composition mapping by parameter reduction. 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