KDA
- Current
- Browse
- Collections
-
For contributors
- For Authors
- Instructions for authors
- Article processing charge
- For Reviewers
- Instructions for reviewers
- How to become a reviewer
- Best reviewers
- For Readers
- Readership
- Subscription
- Permission guidelines
- About
- Editorial policy
Search
- Page Path
- HOME > Search
Original Article
- Metabolic Risk/Epidemiology
- An Analysis of Age-Related Body Composition Changes and Metabolic Patterns in Korean Adults Using FDG-PET/CT Health Screening Data
- Chang-Myung Oh, Ji-In Bang, Sang Yoon Lee, Jae Kyung Lee, Jee Won Chai, So Won Oh
- Diabetes Metab J. 2025;49(1):92-104. Published online September 2, 2024
- DOI: https://doi.org/10.4093/dmj.2024.0057
- 5,653 View
- 211 Download
- 2 Web of Science
- 2 Crossref
-
Abstract
PDF
Supplementary Material
PubReader 
ePub - Background
F-18-fluorodeoxyglucose positron emission tomography (FDG-PET)/computed tomography (CT) can be used to measure bone mineral density (BMD), cross-sectional muscle area (CSMA), Hounsfield units (HU) of liver and muscle, subcutaneous adipose tissue (SAT), abdominal visceral adipose tissue (VAT), and glucose metabolism. The present study aimed to identify age-related changes in body composition and glucose metabolism in Korean using opportunistic FDG-PET/CT imaging.
Methods
We analyzed FDG-PET/CT, clinical history, and laboratory data abstracted from the medical records of patients who underwent health screening at a single institute between 2017 and 2022.
Results
In total, 278 patients were included in the analysis (male:female=140:138). Age and body mass index were positively correlated in female, but negatively correlated in male. BMD decreased with age more in female, and CSMA decreased with age more in male. Muscle HU decreased with age for both sexes. In female, SAT and VAT increased with age; and in male, SAT decreased slightly while VAT remained stable. Muscle glucose metabolism showed no association with age in male but increased with age in female. CSMA correlated positively with BMD overall; and positively correlated with VAT and SAT in male only. In female only, both SAT and VAT showed negative correlations with glucose metabolism and correlated positively with muscle glucose metabolism. Liver HU values were inversely correlated with VAT, especially in female; and positively correlated with muscle glucose metabolism in female only.
Conclusion
FDG-PET/CT demonstrated distinct patterns of age-related changes in body composition and glucose metabolism, with significant differences between sexes. -
Citations
Citations to this article as recorded by
- Development of a deep learning model for predicting skeletal muscle density from ultrasound data: a proof-of-concept study
Federico Pistoia, Marta Macciò, Riccardo Picasso, Federico Zaottini, Giovanni Marcenaro, Simone Rinaldi, Deborah Bianco, Gabriele Rossi, Luca Tovt, Michelle Pansecchi, Sara Sanguinetti, Mehrnaz Hamedani, Angelo Schenone, Carlo Martinoli
La radiologia medica.2025; 130(9): 1386. CrossRef - Emerging Radioligands as Tools to Track Multi-Organ Senescence
Anna Gagliardi, Silvia Migliari, Alessandra Guercio, Giorgio Baldari, Tiziano Graziani, Veronica Cervati, Livia Ruffini, Maura Scarlattei
Diagnostics.2025; 15(19): 2518. CrossRef
- Development of a deep learning model for predicting skeletal muscle density from ultrasound data: a proof-of-concept study
First
Prev
