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Peripheral quantitative computed tomography is a valid imaging technique for tracking changes in skeletal muscle cross-sectional area.
Ruple, Bradley A; Vann, Christopher G; Sexton, Casey L; Osburn, Shelby C; Smith, Morgan A; Godwin, Joshua S; Mumford, Petey W; Stock, Matt S; Roberts, Michael D; Young, Kaelin C.
Affiliation
  • Ruple BA; School of Kinesiology, Auburn University, Auburn, Alabama, USA.
  • Vann CG; Duke Molecular Physiology Institute, Duke University School of Medicine, Duke University, Durham, North Carolina, USA.
  • Sexton CL; School of Kinesiology, Auburn University, Auburn, Alabama, USA.
  • Osburn SC; School of Kinesiology, Auburn University, Auburn, Alabama, USA.
  • Smith MA; School of Kinesiology, Auburn University, Auburn, Alabama, USA.
  • Godwin JS; School of Kinesiology, Auburn University, Auburn, Alabama, USA.
  • Mumford PW; Department of Kinesiology, Lindenwood University, St. Charles, Missouri, USA.
  • Stock MS; School of Kinesiology and Physical Therapy, University of Central Florida, Orlando, Florida, USA.
  • Roberts MD; School of Kinesiology, Auburn University, Auburn, Alabama, USA.
  • Young KC; Edward Via College of Osteopathic Medicine, Auburn, Alabama, USA.
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.
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Full text: 1 Database: MEDLINE Main subject: Magnetic Resonance Imaging / Tomography, X-Ray Computed / Predictive Value of Tests / Muscle, Skeletal / Resistance Training Limits: Adult / Humans / Male Language: En Journal: Clin Physiol Funct Imaging Journal subject: FISIOLOGIA / PATOLOGIA Year: 2024 Type: Article Affiliation country: United States

Full text: 1 Database: MEDLINE Main subject: Magnetic Resonance Imaging / Tomography, X-Ray Computed / Predictive Value of Tests / Muscle, Skeletal / Resistance Training Limits: Adult / Humans / Male Language: En Journal: Clin Physiol Funct Imaging Journal subject: FISIOLOGIA / PATOLOGIA Year: 2024 Type: Article Affiliation country: United States