Evaluation of spleen glucose metabolism using 18F-FDG PET/CT in patients with febrile autoimmune disease

Sung Soo Ahn, Sang Hyun Hwang, Seung Min Jung, Sang Won Lee, Yong Beom Park, Mijin Yun, Jason Jungsik Song

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28 Citations (Scopus)


The purpose of this study was to evaluate the clinical significance of 18F-FDG uptake by the spleen in patients with autoimmune disease. Methods: We retrospectively reviewed Severance Hospital's electronic medical records of patients hospitalized for the evaluation of fever who underwent 18F-FDG PET/CT. We found 91 patients with autoimmune diseases and 101 patients with localized infection. 18F-FDG uptake was assessed by measuring SUV in the spleen and liver. The spleen-to-liver ratio of the SUVmean (SLRmean) was calculated. Clinical and laboratory parameters were collected and evaluated for association with SLRmean. In-hospital mortality was defined as all-cause mortality during hospital admission for fever. Results: SLRmean was significantly higher in autoimmune disease than in localized infectious disease (1.28 6 0.43 vs. 0.91 6 0.21, P , 0.001). In autoimmune disease, SLRmean was correlated with monocytes, aspartate aminotransferase, alanine aminotransferase, albumin, and ferritin. Analysis of receiver-operating-characteristic curves revealed that in comparison with laboratory parameters, SLRmean had the highest performance in differentiating autoimmune from localized infectious disease. Multivariate logistic regression analysis demonstrated that high SLRmean and low platelets were significantly associated with in-hospital mortality in febrile autoimmune disease. Conclusion: These findings suggest that spleen glucose metabolism is increased in febrile autoimmune disease. Spleen 18F-FDG uptake may provide information useful in differentiating febrile autoimmune disease from localized infectious disease and predicting clinical outcomes in febrile autoimmune disease.

Original languageEnglish
Pages (from-to)507-513
Number of pages7
JournalJournal of Nuclear Medicine
Issue number3
Publication statusPublished - 2017 Mar 1

Bibliographical note

Publisher Copyright:
© Copyright 2017 by the Society of Nuclear Medicine and Molecular Imaging.

All Science Journal Classification (ASJC) codes

  • Radiology Nuclear Medicine and imaging


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