Molecular Imaging and Biology

, Volume 13, Issue 6, pp 1278–1283

The Relationship between Patients’ Serum Glucose Levels and Metabolically Active Brown Adipose Tissue Detected by PET/CT

  • Heather A. Jacene
  • Christian C. Cohade
  • Zhe Zhang
  • Richard L. Wahl
Research Article

Abstract

Purpose

To compare blood glucose levels in patients with or without “detectable” brown adipose tissue (BAT) using 2-deoxy-2-[18F]fluoro-d-glucose positron emission tomography/computed tomography (FDG PET/CT).

Procedures

Nine hundred eight patients had PET/CT scans and were previously identified as having, or not having, FDG uptake in BAT. The original database was retrospectively reviewed for blood glucose level and body mass index (BMI) at the time of imaging. Blood glucose levels were compared between patients with or without FDG uptake in BAT, adjusting for age, sex, and BMI.

Results

Fifty-six patients (6.2%) had FDG uptake in BAT. In the univariate analysis, patients without FDG uptake in BAT had a higher risk of glucose ≥100 mg/dL (odds ratio 3.4, 95% CI = 1.6-7.3; P = 0.0007). After adjustment for age, sex, BMI, and significant interaction of sex and BMI, patients without BAT tended to have a higher risk of glucose ≥100 mg/dL, although not statistically significant (odds ratio = 1.6, 95% CI = 0.7-3.6; P = 0.268).

Conclusions

Although causal relationships are not specified, the data suggest that BAT uptake, glucose levels, BMI, sex, and age are inter-related and the possibility that presence of “detectable” BAT is protective against diabetes and obesity. FDG PET/CT may be a vital tool for further investigations of diabetes and obesity.

Key words

Brown fat BAT Glucose FDG “USA”-Fat PET Brown adipose tissue 

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Copyright information

© Academy of Molecular Imaging and Society for Molecular Imaging 2010

Authors and Affiliations

  • Heather A. Jacene
    • 1
  • Christian C. Cohade
    • 1
    • 2
  • Zhe Zhang
    • 3
  • Richard L. Wahl
    • 1
  1. 1.Russell H. Morgan Department of Radiology and Radiological Science, Division of Nuclear MedicineJohns Hopkins University School of MedicineBaltimoreUSA
  2. 2.Departement de Médecine Nucléaire, Centre Hospitalier de l’Université de MontréalMontréalCanada
  3. 3.Division of Oncology Biostatistics, The Sidney Kimmel Comprehensive Cancer CenterThe Johns Hopkins UniversityBaltimoreUSA

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