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Paraspinal Muscle DTI Metrics Predict Muscle Strength

BACKGROUND: The 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 micros...

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Autores principales: Klupp, Elisabeth, Cervantes, Barbara, Schlaeger, Sarah, Inhuber, Stephanie, Kreuzpointer, Florian, Schwirtz, Ansgar, Rohrmeier, Alexander, Dieckmeyer, Michael, Hedderich, Dennis M., Diefenbach, Maximilian N., Freitag, Friedemann, Rummeny, Ernst J., Zimmer, Claus, Kirschke, Jan S., Karampinos, Dimitrios C., Baum, Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6767405/
https://www.ncbi.nlm.nih.gov/pubmed/30723976
http://dx.doi.org/10.1002/jmri.26679
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author Klupp, Elisabeth
Cervantes, Barbara
Schlaeger, Sarah
Inhuber, Stephanie
Kreuzpointer, Florian
Schwirtz, Ansgar
Rohrmeier, Alexander
Dieckmeyer, Michael
Hedderich, Dennis M.
Diefenbach, Maximilian N.
Freitag, Friedemann
Rummeny, Ernst J.
Zimmer, Claus
Kirschke, Jan S.
Karampinos, Dimitrios C.
Baum, Thomas
author_facet Klupp, Elisabeth
Cervantes, Barbara
Schlaeger, Sarah
Inhuber, Stephanie
Kreuzpointer, Florian
Schwirtz, Ansgar
Rohrmeier, Alexander
Dieckmeyer, Michael
Hedderich, Dennis M.
Diefenbach, Maximilian N.
Freitag, Friedemann
Rummeny, Ernst J.
Zimmer, Claus
Kirschke, Jan S.
Karampinos, Dimitrios C.
Baum, Thomas
author_sort Klupp, Elisabeth
collection PubMed
description BACKGROUND: The 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. PURPOSE: To investigate associations of DTI parameters of the lumbar paraspinal muscles with isometric strength measurements in healthy volunteers. STUDY TYPE: Prospective. SUBJECTS: Twenty‐one healthy subjects (12 male, 9 female; age = 30.1 ± 5.6 years; body mass index [BMI] = 27.5 ± 2.6 kg/m(2)) were recruited. FIELD STRENGTH/SEQUENCE: 3 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. ASSESSMENT: Paraspinal 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 TESTS: Pearson correlation coefficients; multivariate regression models. RESULTS: Significant 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 (R(2) (adj) = 0.42, P = 0.003). DATA CONCLUSION: DTI 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: 3 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2019;50:816–823.
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spelling pubmed-67674052019-10-03 Paraspinal Muscle DTI Metrics Predict Muscle Strength Klupp, Elisabeth Cervantes, Barbara Schlaeger, Sarah Inhuber, Stephanie Kreuzpointer, Florian Schwirtz, Ansgar Rohrmeier, Alexander Dieckmeyer, Michael Hedderich, Dennis M. Diefenbach, Maximilian N. Freitag, Friedemann Rummeny, Ernst J. Zimmer, Claus Kirschke, Jan S. Karampinos, Dimitrios C. Baum, Thomas J Magn Reson Imaging Original Research BACKGROUND: The 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. PURPOSE: To investigate associations of DTI parameters of the lumbar paraspinal muscles with isometric strength measurements in healthy volunteers. STUDY TYPE: Prospective. SUBJECTS: Twenty‐one healthy subjects (12 male, 9 female; age = 30.1 ± 5.6 years; body mass index [BMI] = 27.5 ± 2.6 kg/m(2)) were recruited. FIELD STRENGTH/SEQUENCE: 3 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. ASSESSMENT: Paraspinal 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 TESTS: Pearson correlation coefficients; multivariate regression models. RESULTS: Significant 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 (R(2) (adj) = 0.42, P = 0.003). DATA CONCLUSION: DTI 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: 3 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2019;50:816–823. John Wiley & Sons, Inc. 2019-02-05 2019-09 /pmc/articles/PMC6767405/ /pubmed/30723976 http://dx.doi.org/10.1002/jmri.26679 Text en © 2019 The Authors. Journal of Magnetic Resonance Imaging published by Wiley Periodicals, Inc. on behalf of International Society for Magnetic Resonance in Medicine. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Original Research
Klupp, Elisabeth
Cervantes, Barbara
Schlaeger, Sarah
Inhuber, Stephanie
Kreuzpointer, Florian
Schwirtz, Ansgar
Rohrmeier, Alexander
Dieckmeyer, Michael
Hedderich, Dennis M.
Diefenbach, Maximilian N.
Freitag, Friedemann
Rummeny, Ernst J.
Zimmer, Claus
Kirschke, Jan S.
Karampinos, Dimitrios C.
Baum, Thomas
Paraspinal Muscle DTI Metrics Predict Muscle Strength
title Paraspinal Muscle DTI Metrics Predict Muscle Strength
title_full Paraspinal Muscle DTI Metrics Predict Muscle Strength
title_fullStr Paraspinal Muscle DTI Metrics Predict Muscle Strength
title_full_unstemmed Paraspinal Muscle DTI Metrics Predict Muscle Strength
title_short Paraspinal Muscle DTI Metrics Predict Muscle Strength
title_sort paraspinal muscle dti metrics predict muscle strength
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6767405/
https://www.ncbi.nlm.nih.gov/pubmed/30723976
http://dx.doi.org/10.1002/jmri.26679
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