Literature DB >> 26229142

Quantification, Variability, and Reproducibility of Basal Skeletal Muscle Glucose Uptake in Healthy Humans Using 18F-FDG PET/CT.

Olivier Gheysens1, Andrey Postnov2, Christophe M Deroose2, Corinne Vandermeulen3, Jan de Hoon3, Ruben Declercq4, Justin Dennie5, Lori Mixson5, Inge De Lepeleire4, Koen Van Laere2, Michael Klimas5, Manu V Chakravarthy5.   

Abstract

UNLABELLED: The quantification and variability of skeletal muscle glucose utilization (SMGU) in healthy subjects under basal (low insulin) conditions are poorly known. This information is essential early in clinical drug development to effectively interrogate novel pharmacologic interventions that modulate glucose uptake. The aim of this study was to determine test-retest characteristics and variability of SMGU within and between healthy subjects under basal conditions. Furthermore, different kinetic modeling strategies were evaluated to find the best-fitting model to assess SMGU studied by 18F-FDG.
METHODS: Six healthy male volunteers underwent 2 dynamic 18F-FDG PET/CT scans with an interval of 24 h. Subjects were admitted to the clinical unit to minimize variability in daily activities and food intake and restrict physical activity. 18F-FDG PET/CT scans of gluteal and quadriceps muscle area were obtained with arterial input. Regions of interest were drawn over the muscle area to obtain time-activity curves and standardized uptake values (SUVs) between 60 and 90 min. Spectral analysis of the data and kinetic modeling was performed using 2-tissue-irreversible (2T3K), 2-tissue-reversible, and 3-tissue-sequential-irreversible (3T5KS) models. Reproducibility was assessed by intraclass correlation coefficients (ICCs) and within-subject coefficient of variation (WSCV).
RESULTS: SUVs in gluteal and quadriceps areas were 0.56±0.09 and 0.64±0.07. ICCs (with 90% confidence intervals in parentheses) were 0.88 (0.64-0.96) and 0.96 (0.82-0.99), respectively, for gluteal and quadriceps muscles, and WSCV for gluteal and quadriceps muscles was 2.2% and 3.6%, respectively. The rate of glucose uptake into muscle was 0.0016±0.0004 mL/mL⋅min, with an ICC of 0.94 (0.93-0.95) and WSCV of 6.6% for the 3T5KS model, whereas an ICC of 0.98 (0.92-1.00) and WSCV of 2.8% was obtained for the 2T3K model. 3T5KS demonstrated the best fit to the measured experimental points.
CONCLUSION: Minimal variability in skeletal muscle glucose uptake was observed under basal conditions in healthy subjects. SUV measurements and rate of glucose uptake values were reproducible, with an average WSCV of less than 5%. Compared with SUV, the 3-tissue model adds information about kinetics between blood, intra- and intercellular compartments, and phosphorylation that may highlight the exact mechanisms of metabolic changes after pharmacologic intervention.
© 2015 by the Society of Nuclear Medicine and Molecular Imaging, Inc.

Entities:  

Keywords:  FDG PET/CT; kinetic modeling; reproducibility; skeletal muscle

Mesh:

Substances:

Year:  2015        PMID: 26229142     DOI: 10.2967/jnumed.115.159715

Source DB:  PubMed          Journal:  J Nucl Med        ISSN: 0161-5505            Impact factor:   10.057


  7 in total

1.  Regional Variation in Skeletal Muscle and Adipose Tissue FDG Uptake Using PET/CT and Their Relation to BMI.

Authors:  Marcus D Goncalves; Judith Green-McKenzie; Abass Alavi; Drew A Torigian
Journal:  Acad Radiol       Date:  2017-05-24       Impact factor: 3.173

Review 2.  Spectral Analysis of Dynamic PET Studies: A Review of 20 Years of Method Developments and Applications.

Authors:  Mattia Veronese; Gaia Rizzo; Alessandra Bertoldo; Federico E Turkheimer
Journal:  Comput Math Methods Med       Date:  2016-12-05       Impact factor: 2.238

3.  Test-retest repeatability and interobserver variation of healthy tissue metabolism using 18F-FDG PET/CT of the thorax among lung cancer patients.

Authors:  Afnan A Malaih; Joel T Dunn; Lotte Nygård; David G Kovacs; Flemming L Andersen; Sally F Barrington; Barbara M Fischer
Journal:  Nucl Med Commun       Date:  2022-05-01       Impact factor: 1.698

4.  Assessment of population-based input functions for Patlak imaging of whole body dynamic 18F-FDG PET.

Authors:  Mika Naganawa; Jean-Dominique Gallezot; Vijay Shah; Tim Mulnix; Colin Young; Mark Dias; Ming-Kai Chen; Anne M Smith; Richard E Carson
Journal:  EJNMMI Phys       Date:  2020-11-23

5.  Computational modeling of PET tracer distribution in solid tumors integrating microvasculature.

Authors:  Niloofar Fasaeiyan; M Soltani; Farshad Moradi Kashkooli; Erfan Taatizadeh; Arman Rahmim
Journal:  BMC Biotechnol       Date:  2021-11-25       Impact factor: 2.563

6.  Normal values for 18F-FDG uptake in organs and tissues measured by dynamic whole body multiparametric FDG PET in 126 patients.

Authors:  Ole L Munk; Lars C Gormsen; André H Dias; Allan K Hansen
Journal:  EJNMMI Res       Date:  2022-03-07       Impact factor: 3.138

7.  Clinical validation of a population-based input function for 20-min dynamic whole-body 18F-FDG multiparametric PET imaging.

Authors:  André H Dias; Anne M Smith; Vijay Shah; David Pigg; Lars C Gormsen; Ole L Munk
Journal:  EJNMMI Phys       Date:  2022-09-08
  7 in total

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