Peripheral quantitative computed tomography is a valid imaging technique for tracking changes in skeletal muscle cross‐sectional area

Author:

Ruple Bradley A.1ORCID,Vann Christopher G.2,Sexton Casey L.1,Osburn Shelby C.1,Smith Morgan A.1,Godwin Joshua S.1,Mumford Petey W.3,Stock Matt S.4ORCID,Roberts Michael D.15,Young Kaelin C.16

Affiliation:

1. School of Kinesiology Auburn University Auburn Alabama USA

2. Duke Molecular Physiology Institute Duke University School of Medicine, Duke University Durham North Carolina USA

3. Department of Kinesiology Lindenwood University St. Charles Missouri USA

4. School of Kinesiology and Physical Therapy University of Central Florida Orlando Florida USA

5. Edward Via College of Osteopathic Medicine Auburn Alabama USA

6. College of Osteopathic Medicine Pacific Northwest University of Health Sciences Yakima Washington USA

Abstract

AbstractPeripheral 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.

Publisher

Wiley

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