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Modeling 18F-FDG Kinetics during Acute Lung Injury: Experimental Data and Estimation Errors

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Listed:
  • A Susanne Dittrich
  • Tilo Winkler
  • Tyler Wellman
  • Nicolas de Prost
  • Guido Musch
  • R Scott Harris
  • Marcos F Vidal Melo

Abstract

Background: There is increasing interest in Positron Emission Tomography (PET) of 2-deoxy-2-[18F]flouro-D-glucose (18F-FDG) to evaluate pulmonary inflammation during acute lung injury (ALI). We assessed the effect of extra-vascular lung water on estimates of 18F-FDG-kinetics parameters in experimental and simulated data using the Patlak and Sokoloff methods, and our recently proposed four-compartment model. Methodology/Principal Findings: Eleven sheep underwent unilateral lung lavage and 4 h mechanical ventilation. Five sheep received intravenous endotoxin (10 ng/kg/min). Dynamic 18F-FDG PET was performed at the end of the 4 h period. 18F-FDG net uptake rate (Ki), phosphorylation rate (k3), and volume of distribution (Fe) were estimated in three isogravitational regions for each method. Simulations of normal and ALI 18F-FDG-kinetics were conducted to study the dependence of estimated parameters on the transport rate constants to (k5) and from (k6) the extra-vascular extra-cellular compartment. The four-compartment model described 85.7% of the studied 18F-FDG-kinetics better than the Sokoloff model. Relative to the four-compartment model the Sokoloff model exhibited a consistent positive bias in Ki (3.32 [1.30–5.65] 10−4/min, p

Suggested Citation

  • A Susanne Dittrich & Tilo Winkler & Tyler Wellman & Nicolas de Prost & Guido Musch & R Scott Harris & Marcos F Vidal Melo, 2012. "Modeling 18F-FDG Kinetics during Acute Lung Injury: Experimental Data and Estimation Errors," PLOS ONE, Public Library of Science, vol. 7(10), pages 1-12, October.
  • Handle: RePEc:plo:pone00:0047588
    DOI: 10.1371/journal.pone.0047588
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