Peripheral quantitative computed tomography is a valid imaging technique for tracking changes in skeletal muscle cross-sectional area.
Clin Physiol Funct Imaging
; 44(5): 407-414, 2024 Sep.
Article
in En
| MEDLINE
| ID: mdl-38666415
ABSTRACT
Peripheral quantitative computed tomography (pQCT) has recently expanded to quantifying skeletal muscle, however its validity to determine muscle cross-sectional area (mCSA) compared to magnetic resonance imaging (MRI) is unknown. Eleven male participants (age 22 ± 3 y) underwent pQCT and MRI dual-leg mid-thigh imaging before (PRE) and after (POST) 6 weeks of resistance training for quantification of mid-thigh mCSA and change in mCSA. mCSA agreement at both time points and absolute change in mCSA across time was assessed using Bland-Altman plots for mean bias and 95% limits of agreement (LOA), as well as Lin's concordance correlation coefficients (CCC). Both pQCT and MRI mCSA increased following 6 weeks of resistance training (∆mCSApQCT 6.7 ± 5.4 cm2, p < 0.001; ∆mCSAMRI 6.0 ± 6.4 cm2, p < 0.001). Importantly, the change in mCSA was not different between methods (p = 0.39). Bland-Altman analysis revealed a small mean bias (1.10 cm2, LOA -6.09, 8.29 cm2) where pQCT tended to overestimate mCSA relative to MRI when comparing images at a single time point. Concordance between pQCT and MRI mCSA at PRE and POST was excellent yielding a CCC of 0.982. For detecting changes in mCSA, Bland-Altman analysis revealed excellent agreement between pQCT and MRI (mean bias -0.73 cm2, LOA -8.37, 6.91 cm2). Finally, there was excellent concordance between pQCT and MRI mCSA change scores (CCC = 0.779). Relative to MRI, pQCT imaging is a valid technique for measuring both mid-thigh mCSA at a single time point and mCSA changes following a resistance training intervention.
Key words
Full text:
1
Database:
MEDLINE
Main subject:
Magnetic Resonance Imaging
/
Tomography, X-Ray Computed
/
Predictive Value of Tests
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Muscle, Skeletal
/
Resistance Training
Limits:
Adult
/
Humans
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Male
Language:
En
Journal:
Clin Physiol Funct Imaging
Journal subject:
FISIOLOGIA
/
PATOLOGIA
Year:
2024
Type:
Article
Affiliation country:
United States