FDG-PET Quantification of Lung Inflammation with Image-Derived Blood Input Function in Mice
Year: 2011
Type: article
Abstract: Dynamic FDG-PET imaging was used to study inflammation in lungs of mice following administration of a virulent strain of Klebsiella (K.) pneumoniae. Net whole-lung FDG influx constant (K(i)) was determined in a compartment model using an image-derived blood input function. Methods. K. pneumoniae (~3 x 10(5) CFU) was intratracheally administered to six mice with 6 other mice serving as controls. Dynamic FDG-PET and X-Ray CT scans were acquired 24 hr after K. pneumoniae administration. The experimental lung time activity curves were fitted to a 3-compartment FDG model to obtain K(i). Following imaging, lungs were excised and immunohistochemistry analysis was done to assess the relative presence of neutrophils and macrophages. Results. Mean K(i) for control and K. pneumoniae infected mice were (5.1 ± 1.2) ×10(-3) versus (11.4 ± 2.0) ×10(-3) min(-1), respectively, revealing a 2.24 fold significant increase (P = 0.0003) in the rate of FDG uptake in the infected lung. Immunohistochemistry revealed that cellular lung infiltrate was almost exclusively neutrophils. Parametric K(i) maps by Patlak analysis revealed heterogeneous inflammatory foci within infected lungs. Conclusion. The kinetics of FDG uptake in the lungs of mice can be noninvasively quantified by PET with a 3-compartment model approach based on an image-derived input function.
DOI: 10.1155/2011/356730
Authors: Landon W. Locke, Mark B. Williams, Karen D. Fairchild, Min Zhong, Bijoy K. Kundu, Stuart S. Berr
Institution: University of Virginia
Language: English
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
OpenAlex ID: W2108851846