@article{QIMS154748,
author = {Ying Zhang and Shengtao Weng and Yuhui Liu and Dandan Wang and Huizhen Huang and Rui Zhang and Zengxin Lu},
title = {Associations between skeletal muscle parameters and metabolic markers in metabolic syndrome: an exploratory cross-sectional study using photon-counting computed tomography},
journal = {Quantitative Imaging in Medicine and Surgery},
volume = {16},
number = {7},
year = {2026},
keywords = {},
abstract = {Background: Metabolic syndrome (MetS) is associated with altered body composition, but the relationship between skeletal muscle parameters and metabolic markers remains incompletely understood. This exploratory cross-sectional study aimed to investigate associations between skeletal muscle quantity and quality, measured by photon-counting computed tomography (PCCT), and circulating metabolic markers in individuals with and without MetS.Methods: A total of 117 participants [38 with MetS and 79 healthy controls (HCs)] underwent abdominal non-contrast PCCT. Skeletal muscle area (SMA), skeletal muscle density (SMD), and skeletal muscle index (SMI) were measured at the third lumbar vertebral level. Fasting plasma glucose (FPG), glycated hemoglobin (HbA1c), and lipid profiles were collected. Spearman correlation, multivariable regression, and interaction analyses were performed. False discovery rate (FDR) adjustment was applied to exploratory subgroup correlations.Results: The MetS group had significantly higher SMI (median, 42.73 vs. 39.16 cm2/m2; P},
issn = {2223-4306}, url = {https://qims.amegroups.org/article/view/154748}
}