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Journal of Magnetic Resonance Imaging
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Journal of Magnetic Resonance Imaging
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Paraspinal Muscle DTI Metrics Predict Muscle Strength

Authors: Klupp, Elisabeth; Cervantes, Barbara; Schlaeger, Sarah; Inhuber, Stephanie; Kreuzpointer, Florian; Schwirtz, Ansgar; Rohrmeier, Alexander; +9 Authors

Paraspinal Muscle DTI Metrics Predict Muscle Strength

Abstract

BackgroundThe paraspinal muscles play an important role in the onset and progression of lower back pain. It would be of clinical interest to identify imaging biomarkers of the paraspinal musculature that are related to muscle function and strength. Diffusion tensor imaging (DTI) enables the microstructural examination of muscle tissue and its pathological changes.PurposeTo investigate associations of DTI parameters of the lumbar paraspinal muscles with isometric strength measurements in healthy volunteers.Study TypeProspective.SubjectsTwenty‐one healthy subjects (12 male, 9 female; age = 30.1 ± 5.6 years; body mass index [BMI] = 27.5 ± 2.6 kg/m2) were recruited.Field Strength/Sequence3 T/single‐shot echo planar imaging (ss‐EPI) DTI in 24 directions; six‐echo 3D spoiled gradient echo sequence for chemical shift encoding‐based water–fat separation.AssessmentParaspinal muscles at the lumbar spine were examined. Erector spinae muscles were segmented bilaterally; cross‐sectional area (CSA), proton density fat fraction (PDFF), and DTI parameters were calculated. Muscle flexion and extension maximum isometric torque values [Nm] at the back were measured with an isokinetic dynamometer and the ratio of extension to flexion strength (E/F) calculated.Statistical TestsPearson correlation coefficients; multivariate regression models.ResultsSignificant positive correlations were found between the ratio of extension to flexion (E/F) strength and mean diffusivity (MD) (P = 0.019), RD (P = 0.02) and the eigenvalues (λ1: P = 0.026, λ2: P = 0.033, λ3: P = 0.014). In multivariate regression models λ3 of the erector spinae muscle λ3 and gender remained statistically significant predictors of E/F (R2adj = 0.42, P = 0.003).Data ConclusionDTI allowed the identification of muscle microstructure differences related to back muscle function that were not reflected by CSA and PDFF. DTI may potentially track subtle changes of back muscle tissue composition.Level of Evidence: 3Technical Efficacy: Stage 2J. Magn. Reson. Imaging 2019;50:816–823.

Keywords

Adult, Male, Echo-Planar Imaging, Paraspinal Muscles, Diffusion Tensor Imaging, Humans, Female, Muscle Strength, Prospective Studies, Original Research, ddc: ddc:

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
40
Top 10%
Top 10%
Top 10%
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