EJNMMI Research (Mar 2020)

Quantification of [11C]PBR28 data after systemic lipopolysaccharide challenge

  • Eric A. Woodcock,
  • Martin Schain,
  • Kelly P. Cosgrove,
  • Ansel T. Hillmer

DOI
https://doi.org/10.1186/s13550-020-0605-7
Journal volume & issue
Vol. 10, no. 1
pp. 1 – 6

Abstract

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Abstract Background Lipopolysaccharide (LPS) is a classic immune stimulus. LPS combined with positron emission tomography (PET) 18 kDa translocator protein (TSPO) brain imaging provides a robust human laboratory model to study neuroimmune signaling. To evaluate optimal analysis of these data, this work compared the sensitivity of six quantification approaches. Methods [11C]PBR28 data from healthy volunteers (N = 8) were collected before and 3 h after LPS challenge (1.0 ng/kg IV). Quantification approaches included total volume of distribution estimated with two tissue, and two tissue plus irreversible uptake in whole blood, compartment models (2TCM and 2TCM-1k, respectively) and multilinear analysis-1 (MA-1); binding potential estimated with simultaneous estimation (SIME); standardized uptake values (SUV); and SUV ratio (SUVR). Results The 2TCM, 2TCM-1k, MA-1, and SIME approaches each yielded substantive effect sizes for LPS effects (partial η 2 = 0.56–0.89, ps <. 05), whereas SUV and SUVR did not. Conclusion These findings highlight the importance of incorporating AIF measurements to quantify LPS-TSPO studies.

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