Accuracy and Reliability of an MR‐Compatible Dorsiflexion Ergometer for Dynamic 31P‐MRS: Comparison With a Clinical Dynamometer in Individuals With and Without Obesity

The clinical application of MR-compatible ergometers for muscle contractile assessment is limited by a lack of validation against standard clinical dynamometers. Moreover, the impact of obesity on the reliability of MR ergometer-based muscle contractile assessments and the quality of phosphorus-31 magnetic resonance spectroscopy (<sup>31</sup>P-MRS) data remains unclear. This study aimed to validate an MR-compatible ergometer against a clinical dynamometer and to evaluate the applicability of <sup>31</sup>P-MRS in individuals with severe obesity. Twenty adults (35-60 years) were recruited and divided into groups of nonobesity (BMI 18.5-30 kg/m<sup>2</sup>, n = 10) and severe obesity (BMI ≥ 35 kg/m<sup>2</sup>, n = 10), matched for age, sex, and height. Ankle dorsiflexion was assessed using both a clinical dynamometer and an MR ergometer, measuring maximal voluntary isometric contraction (MVIC) and a 4-min isotonic fatiguing exercise. <sup>31</sup>P-MRS was continuously acquired during the in-scanner exercise. Agreement between devices was assessed using Bland-Altman plots and intraclass correlation coefficients (ICCs). <sup>31</sup>P-MRS data quality was evaluated based on signal-to-noise ratio (SNR), uncertainty of fit (CRLB), and phosphocreatine (PCr) recovery fit (R<sup>2</sup>). Pearson's correlations examined relationships between muscle fatigue and metabolic parameters. All subjects successfully completed the protocol on both devices. The MR ergometer demonstrated moderate-to-excellent reliability (ICC ≥ 0.50) for most contractile parameters. While maximal torque, power, and work were underestimated on the MR ergometer (16-28%), this bias was consistent across BMI groups. <sup>31</sup>P-MRS met preset quality thresholds (SNR ≥ 5, CRLB < 20%, R<sup>2</sup> ≥ 0.70) in both groups. Dorsiflexion fatigue (reduction in power) correlated strongly (r ≥ 0.77) with metabolic changes, including PCr depletion (R<sup>2</sup> = 0.68), pH drop (R<sup>2</sup> = 0.59), PCr recovery time constant (R<sup>2</sup> = 0.62), and inorganic phosphate accumulation (Pi/PCr) (R<sup>2</sup> = 0.67). The MR ergometer demonstrated feasibility, acceptable reliability, and consistent <sup>31</sup>P-MRS data quality across BMI groups. These findings support the use of the MR ergometer for in-scanner dorsiflexor assessments, even in individuals with severe obesity.

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Journal
NMR in Biomedicine
Published
2025-11-23
DOI
https://doi.org/10.1002/nbm.70188
Citations
1
Primary Topic
Advanced MRI Techniques and Applications
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article
Field-Weighted Citation Impact
1.36
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article

Accuracy and Reliability of an MR‐Compatible Dorsiflexion Ergometer for Dynamic 31P‐MRS: Comparison With a Clinical Dynamometer in Individuals With and Without Obesity

Gwenaël Layec, Ole Emil Andersen, Jack J. Miller, Henning Boje Andersen et al.
1 citations
NMR in Biomedicine
Advanced MRI Techniques and Applications
1.36
article

Accuracy and Reliability of an MR‐Compatible Dorsiflexion Ergometer for Dynamic 31P‐MRS: Comparison With a Clinical Dynamometer in Individuals With and Without Obesity

Gwenaël Layec, Ole Emil Andersen, Jack J. Miller, Henning Boje Andersen, Jens Meldgaard Bruun, Jane A. Kent, Anders Stouge, Esben Søvsø Szocska Hansen, Christoffer Laustsen, Michael Væggemose, Ladislav Valkovič, Cuno Rasmussen
article en
1 citations

Abstract

The clinical application of MR-compatible ergometers for muscle contractile assessment is limited by a lack of validation against standard clinical dynamometers. Moreover, the impact of obesity on the reliability of MR ergometer-based muscle contractile assessments and the quality of phosphorus-31 magnetic resonance spectroscopy (<sup>31</sup>P-MRS) data remains unclear. This study aimed to validate an MR-compatible ergometer against a clinical dynamometer and to evaluate the applicability of <sup>31</sup>P-MRS in individuals with severe obesity. Twenty adults (35-60 years) were recruited and divided into groups of nonobesity (BMI 18.5-30 kg/m<sup>2</sup>, n = 10) and severe obesity (BMI ≥ 35 kg/m<sup>2</sup>, n = 10), matched for age, sex, and height. Ankle dorsiflexion was assessed using both a clinical dynamometer and an MR ergometer, measuring maximal voluntary isometric contraction (MVIC) and a 4-min isotonic fatiguing exercise. <sup>31</sup>P-MRS was continuously acquired during the in-scanner exercise. Agreement between devices was assessed using Bland-Altman plots and intraclass correlation coefficients (ICCs). <sup>31</sup>P-MRS data quality was evaluated based on signal-to-noise ratio (SNR), uncertainty of fit (CRLB), and phosphocreatine (PCr) recovery fit (R<sup>2</sup>). Pearson's correlations examined relationships between muscle fatigue and metabolic parameters. All subjects successfully completed the protocol on both devices. The MR ergometer demonstrated moderate-to-excellent reliability (ICC ≥ 0.50) for most contractile parameters. While maximal torque, power, and work were underestimated on the MR ergometer (16-28%), this bias was consistent across BMI groups. <sup>31</sup>P-MRS met preset quality thresholds (SNR ≥ 5, CRLB < 20%, R<sup>2</sup> ≥ 0.70) in both groups. Dorsiflexion fatigue (reduction in power) correlated strongly (r ≥ 0.77) with metabolic changes, including PCr depletion (R<sup>2</sup> = 0.68), pH drop (R<sup>2</sup> = 0.59), PCr recovery time constant (R<sup>2</sup> = 0.62), and inorganic phosphate accumulation (Pi/PCr) (R<sup>2</sup> = 0.67). The MR ergometer demonstrated feasibility, acceptable reliability, and consistent <sup>31</sup>P-MRS data quality across BMI groups. These findings support the use of the MR ergometer for in-scanner dorsiflexor assessments, even in individuals with severe obesity.

NMR in BiomedicineVol. 39(1)
University of Nebraska at Omaha (US), Nebraska Medical Center (US), Steno Diabetes Centers (DK), Aarhus University (DK), Slovak Academy of Sciences (SK), University of Massachusetts Amherst (US), Aarhus University Hospital (DK), John Radcliffe Hospital (GB), University of Oxford (GB), Institute of Measurement Science of the Slovak Academy of Sciences (SK), Oxford BioMedica (United Kingdom) (GB), Aalborg University (DK)
Openalex Percentile: Top 14%
Advanced MRI Techniques and Applications
1.36
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