{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,19]],"date-time":"2026-01-19T02:25:55Z","timestamp":1768789555791,"version":"3.49.0"},"reference-count":32,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2019,5,15]],"date-time":"2019-05-15T00:00:00Z","timestamp":1557878400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100002380","name":"Hanyang University","doi-asserted-by":"publisher","award":["HY\u2010201700000000081"],"award-info":[{"award-number":["HY\u2010201700000000081"]}],"id":[{"id":"10.13039\/501100002380","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["J cachexia sarcopenia muscle"],"published-print":{"date-parts":[[2019,8]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Background<\/jats:title><jats:p>Skeletal muscle glucose utilization is an important component of whole\u2010body glucose consumption in normal humans. Fluorine\u201018\u2010labelled fluoro\u20102\u2010deoxy\u2010d\u2010glucose (<jats:sup>18<\/jats:sup>F\u2010FDG) is a non\u2010invasive molecular imaging probe for evaluating tissue glucose utilization. It remains unclear whether or not <jats:sup>18<\/jats:sup>F\u2010FDG uptake by skeletal muscle has utility as a biomarker for metabolic derangement. We investigated the utility of measurement of muscle <jats:sup>18<\/jats:sup>F\u2010FDG positron emission tomography\/computed tomography uptake as a surrogate marker for existing and incipient metabolic abnormalities.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>Fluorine\u201018\u2010labelled fluoro\u20102\u2010deoxy\u2010d\u2010glucose (<jats:sup>18<\/jats:sup>F\u2010FDG) uptakes of insulin\u2010sensitive organs (liver, pancreas, mesenteric visceral fat, psoas muscle, and abdominal subcutaneous fat) and their association with metabolic abnormalities were evaluated in an experimental group comprising 91 men and 66 women (mean age 49.9\u00a0\u00b1\u00a011.1\u00a0years). In this cross\u2010sectional cohort, we assessed the predictive power of the optimal cut\u2010off <jats:sup>18<\/jats:sup>F\u2010FDG uptake [maximum standardized uptake value (SUV<jats:sub>max<\/jats:sub>)]. We confirmed its feasibility and reliability for diagnosis of existing and incipient metabolic derangement in the validation group (longitudinal cohort comprising 91 men and 67 women; mean age 52.6\u00a0\u00b1\u00a07.9\u00a0years).<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Fluorine\u201018\u2010labelled fluoro\u20102\u2010deoxy\u2010d\u2010glucose (<jats:sup>18<\/jats:sup>F\u2010FDG) uptake (SUV<jats:sub>max<\/jats:sub>) of psoas muscle was strongly correlated with clinical metabolic parameters in the experimental group. It was positively correlated with waist circumference, body mass index, fasting glucose, triglyceride, systolic and diastolic pressure, and negatively correlated with high\u2010density lipoprotein cholesterol levels (for all, <jats:italic>P<\/jats:italic>\u00a0&lt;\u00a00.05). SUV<jats:sub>max<\/jats:sub> of the psoas muscle also showed the best area under the curve value (0.779) as a predictor of metabolic syndrome (MetS) in the experimental group. Using the optimal cut\u2010off SUV<jats:sub>max<\/jats:sub> of 1.34, the sensitivity, specificity, accuracy, positive, and negative predictive value for predicting existing MetS in the experimental group were 70.0%, 84.6%, 80.9%, 60.9%, and 89.2%, respectively. In the validation group, corresponding values were 47.6%, 92.3%, 86.1%, 50.0%, and 91.6%, respectively. Existing and incipient MetS were significantly higher in subjects with high <jats:sup>18<\/jats:sup>F\u2010FDG uptake by the psoas muscle (SUV<jats:sub>max<\/jats:sub>\u00a0&gt;\u00a01.34). Subjects with higher psoas muscle SUV<jats:sub>max<\/jats:sub> had a 3.3\u2010fold increased risk of developing MetS (<jats:italic>P<\/jats:italic>\u00a0=\u00a00.017).<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>Fluorine\u201018\u2010labelled fluoro\u20102\u2010deoxy\u2010d\u2010glucose (<jats:sup>18<\/jats:sup>F\u2010FDG) uptake of psoas muscle is a promising surrogate marker for existing and incipient metabolic derangement.<\/jats:p><\/jats:sec>","DOI":"10.1002\/jcsm.12430","type":"journal-article","created":{"date-parts":[[2019,5,16]],"date-time":"2019-05-16T06:14:56Z","timestamp":1557987296000},"page":"894-902","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Psoas muscle fluorine\u201018\u2010labelled fluoro\u20102\u2010deoxy\u2010d\u2010glucose uptake associated with the incidence of existing and incipient metabolic derangement"],"prefix":"10.1002","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2199-4529","authenticated-orcid":false,"given":"Ji Young","family":"Kim","sequence":"first","affiliation":[{"name":"Department of Nuclear Medicine Hanyang University School of Medicine  Seoul South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2875-6139","authenticated-orcid":false,"given":"Dae Won","family":"Jun","sequence":"additional","affiliation":[{"name":"Department of Internal Medicine Hanyang University School of Medicine  Seoul South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jun","family":"Choi","sequence":"additional","affiliation":[{"name":"Department of Fusion Data Analytics, School of Industrial Management Engineering Korea University  Seoul South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Eunwoo","family":"Nam","sequence":"additional","affiliation":[{"name":"Biostatistical Consulting and Research Lab Hanyang University School of Medicine  Seoul South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Donghee","family":"Son","sequence":"additional","affiliation":[{"name":"Biostatistical Consulting and Research Lab Hanyang University School of Medicine  Seoul South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7535-4343","authenticated-orcid":false,"given":"Yun Young","family":"Choi","sequence":"additional","affiliation":[{"name":"Department of Nuclear Medicine Hanyang University School of Medicine  Seoul South 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