Association between Psoas Muscle FDG Uptake and Metabolic Syndrome by 18F-Fluorodeoxyglucose Positron Emission Tomography: May psoas muscle FDG uptake use as a biomarker for impaired metabolic health?
- Association between Psoas Muscle FDG Uptake and Metabolic Syndrome by 18F-Fluorodeoxyglucose Positron Emission Tomography: May psoas muscle FDG uptake use as a biomarker for impaired metabolic health?
- Issue Date
- HEPATOLOGY, v. 62, NO Special SI, Page. 1236-1236(2110)
- Purpose: To identify metabolic activity of several organs responsible for the glucose metabolism on 18F-FDG PET/CT according to several metabolic phenotypes and to evaluate whether it could be used to predict the metabolic health impairment. Methods: We retrospectively analyzed the data from 157 subjects who underwent18F-FDG PET/CT for health medical examination. Liver function test, total cholesterol, triglycer-ide, and fasting blood glucose (FBG) level as well as presence of metabolic syndrome (MS) were evaluated in these subjects. Fixed or flexible spherical volume of interest (VOIs) were used to evaluate maximal and/or mean standardized uptake value (SUV) to assess the metabolism of liver, pancreas, mesenteric visceral fat, psoas muscle, and abdominal subcutaneous fat on 18F-FDG PET/CT. Effect of SUVs in each organ on the clinical metabolic parameters as well as on the presence of MS were analyzed for statistical significance. Results: 52 subjects (33.1 %) were obese with a body mass index (BMI) > 25 and forty subjects (40/157, 25%) had MS. SUVmax of psoas muscle, mesenteric visceral fat, and abdominal subcutaneous fat as well as SUVmean of liver were positively correlated with BMI, weight and FBG, after adjusted by FBG. SUVmax of psoas muscle, visceral fat, and pancreas were significantly higher in the subjects with obesity and in the subject with MS (p for trend < 0.05). Among them, SUVmax of psoas muscle was found to be only risk factor for the presence of MS independent to weight and FBG. With the cutoff value of 1.34, SUVmax of psoas muscle accurately predicted MS, central obesity, and hypertension (AUROC 0.779, 0.810, and 0.646, respectively, p < 0.05). Conclusion: SUVmax of psoas muscle on the 18F-FDG PET/CT is well associated with various clinical metabolic parameters and it could be used to predict the metabolic health impairment. Moreover, it could be valuable tool to sort meta-bolically healthy or abnormal especially in the obese subjects. Disclosures:
The following authors have nothing to disclose: Seung Min Lee, Dae Won Jun, Yong Kyun Cho, Eun Chul Jang, Joo Hee Kwak
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