Assessment of training-associated changes of the lumbar back muscle using a multiparametric MRI protocol

Adaptations in muscle physiology due to long-term physical training have been monitored using various methods: ranging from invasive techniques, such as biopsy, to less invasive approaches, such as electromyography (EMG), to various quantitative magnetic resonance imaging (qMRI) parameters. Typically, these latter parameters are assessed immediately after exercise. In contrast, this work assesses such adaptations in a set of qMRI parameters obtained at rest in the lumbar spine muscles of volunteers. To this end, we developed a multiparametric measurement protocol to extract quantitative values of (water) T<sub>2</sub>, fat fraction, T<sub>1</sub>, and Intra Voxel Incoherent Motion (IVIM) diffusion parameters in the lumbar back muscle. The protocol was applied to 31 healthy subjects divided into three differently trained cohorts: two groups of athletes (endurance athletes and powerlifters) and a control group with a sedentary lifestyle. Significant differences in muscle water T<sub>2</sub>, fat fraction, and pseudo-diffusion coefficient linked to microcirculatory blood flow in muscle tissue were found between the trained and untrained cohorts. At the same time, diffusion coefficients (resolved along different directions) provided additional differentiation between the two groups of athletes. Specifically, the strength-trained athletes showed lower axial and higher radial diffusion components compared to the endurance-trained cohort, which may indicate muscle hypertrophy. In conclusion, utilizing multiparametric information revealed new insights into the potential of quantitative MR parameters to detect and quantify long-term effects associated with training in differently trained cohorts, even at rest.

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Publication Details

Journal
Frontiers in Physiology
Published
2024-10-17
DOI
https://doi.org/10.3389/fphys.2024.1408244
Citations
1
Primary Topic
Advanced Neuroimaging Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.40

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article

Assessment of training-associated changes of the lumbar back muscle using a multiparametric MRI protocol

Renat Sibgatulin, Martin Krämer, Daniel Güllmar, Jürgen Rainer Reichenbach et al.
1 citations
Frontiers in Physiology
Advanced Neuroimaging Techniques and Applications
0.40
article

Assessment of training-associated changes of the lumbar back muscle using a multiparametric MRI protocol

Renat Sibgatulin, Martin Krämer, Daniel Güllmar, Jürgen Rainer Reichenbach, Marta Maggioni
article en
1 citations

Abstract

Adaptations in muscle physiology due to long-term physical training have been monitored using various methods: ranging from invasive techniques, such as biopsy, to less invasive approaches, such as electromyography (EMG), to various quantitative magnetic resonance imaging (qMRI) parameters. Typically, these latter parameters are assessed immediately after exercise. In contrast, this work assesses such adaptations in a set of qMRI parameters obtained at rest in the lumbar spine muscles of volunteers. To this end, we developed a multiparametric measurement protocol to extract quantitative values of (water) T<sub>2</sub>, fat fraction, T<sub>1</sub>, and Intra Voxel Incoherent Motion (IVIM) diffusion parameters in the lumbar back muscle. The protocol was applied to 31 healthy subjects divided into three differently trained cohorts: two groups of athletes (endurance athletes and powerlifters) and a control group with a sedentary lifestyle. Significant differences in muscle water T<sub>2</sub>, fat fraction, and pseudo-diffusion coefficient linked to microcirculatory blood flow in muscle tissue were found between the trained and untrained cohorts. At the same time, diffusion coefficients (resolved along different directions) provided additional differentiation between the two groups of athletes. Specifically, the strength-trained athletes showed lower axial and higher radial diffusion components compared to the endurance-trained cohort, which may indicate muscle hypertrophy. In conclusion, utilizing multiparametric information revealed new insights into the potential of quantitative MR parameters to detect and quantify long-term effects associated with training in differently trained cohorts, even at rest.

Frontiers in PhysiologyVol. 15
University of Basel (CH), Jena University Hospital (DE), Friedrich Schiller University Jena (DE)
Friedrich-Schiller-Universität Jena, Deutsche Forschungsgemeinschaft
Openalex Percentile: Top 34%
Advanced Neuroimaging Techniques and Applications
0.40
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