HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH RSS TABLE OF CONTENTS		QUICK SEARCH:   [advanced] Author: Keyword(s): Year:  Vol:  Page:

This Article Figures Only Full Text Full Text (PDF) All Versions of this Article: jnumed.108.060533v1 50/6/966    most recent Alert me when this article is cited Alert me if a correction is posted Services Email this article to a friend Related articles in JNM Similar articles in this journal Similar articles in PubMed Alert me to new issues of the journal Download to citation manager Citing Articles Citing Articles via Google Scholar Google Scholar Articles by Yu, A. S. Articles by Wu, H.-M. Search for Related Content PubMed PubMed Citation Articles by Yu, A. S. Articles by Wu, H.-M.

Quantification of Cerebral Glucose Metabolic Rate in Mice Using ¹⁸F-FDG and Small-Animal PET

Department of Molecular and Medical Pharmacology, David Geffen School of Medicine, UCLA, Los Angeles, California

Correspondence: For correspondence or reprints contact: Hsiao-Ming Wu, Department of Molecular and Medical Pharmacology, UCLA, 10833 Le Conte Ave., Los Angeles, CA 90095-6948. E-mail: cwu{at}mednet.ucla.edu

The aim of this study was to evaluate various methods for estimating the metabolic rate of glucose utilization in the mouse brain (cMR_glc) using small-animal PET and reliable blood curves derived by a microfluidic blood sampler. Typical values of ¹⁸F-FDG rate constants of normal mouse cerebral cortex were estimated and used for cMR_glc calculations. The feasibility of using the image-derived liver time–activity curve as a surrogate input function in various quantification methods was also evaluated. Methods: Thirteen normoglycemic C57BL/6 mice were studied. Eighteen blood samples were taken from the femoral artery by the microfluidic blood sampler. Tissue time–activity curves were derived from PET images. cMR_glc values were calculated using 2 different input functions (one derived from the blood samples [IF_blood] and the other from the liver time–activity curve [IF_liver]) in various quantification methods, which included the 3-compartment ¹⁸F-FDG model (from which the ¹⁸F-FDG rate constants were derived), the Patlak analysis, and operational equations. The estimated cMR_glc value based on IF_blood and the 3-compartment model served as a standard for comparisons with the cMR_glc values calculated by the other methods. Results: The values of , , , , and estimated by IF_blood and the 3-compartment model were 0.22 ± 0.05 mL/min/g, 0.48 ± 0.09 min^–1, 0.06 ± 0.02 min^–1, 0.025 ± 0.010 min^–1, and 0.024 ± 0.007 mL/min/g, respectively. The standard cMR_glc value was, therefore, 40.6 ± 13.3 µmol/100 g/min (lumped constant = 0.6). No significant difference between the standard cMR_glc and the cMR_glc estimated by the operational equation that includes was observed. The standard cMR_glc was also found to have strong correlations (r > 0.8) with the cMR_glc value estimated by the use of IF_liver in the 3-compartment model and with those estimated by the Patlak analysis (using either IF_blood or IF_liver). Conclusion: The ¹⁸F-FDG rate constants of normal mouse cerebral cortex were determined. These values can be used in the -included operational equation to calculate cMR_glc. IF_liver can be used to estimate cMR_glc in most methods included in this study, with proper linear corrections applied. The validity of using the Patlak analysis for estimating cMR_glc in mouse PET studies was also confirmed.

Key Words: ¹⁸F-FDG rate constants of mouse brain • microfluidic blood sampler • noninvasive input function

Guest Editor: Tove Gronroos, Turku PET Centre

COPYRIGHT © 2009 by the Society of Nuclear Medicine, Inc.

Related articles in JNM:

This Month in JNM

JNM 2009 50: 11A-12A. [Full Text]