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Comparison between magnetic resonance imaging and electrical impedance myography for evaluating lumbar skeletal muscle composition

BACKGROUND: To compare electrical impedance myography (EIM) and MRI in assessing lumbar skeletal muscle composition. METHODS: One hundred forty-one patients (78 females, mean age 57 ± 19 years) were prospectively enrolled and underwent lumbar spine MRI, EIM with Skulpt®, and clinical evaluation incl...

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Autores principales: Albano, Domenico, Gitto, Salvatore, Vitale, Jacopo, Bernareggi, Susan, Aliprandi, Alberto, Sconfienza, Luca Maria, Messina, Carmelo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9644498/
https://www.ncbi.nlm.nih.gov/pubmed/36348334
http://dx.doi.org/10.1186/s12891-022-05902-9
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author Albano, Domenico
Gitto, Salvatore
Vitale, Jacopo
Bernareggi, Susan
Aliprandi, Alberto
Sconfienza, Luca Maria
Messina, Carmelo
author_facet Albano, Domenico
Gitto, Salvatore
Vitale, Jacopo
Bernareggi, Susan
Aliprandi, Alberto
Sconfienza, Luca Maria
Messina, Carmelo
author_sort Albano, Domenico
collection PubMed
description BACKGROUND: To compare electrical impedance myography (EIM) and MRI in assessing lumbar skeletal muscle composition. METHODS: One hundred forty-one patients (78 females, mean age 57 ± 19 years) were prospectively enrolled and underwent lumbar spine MRI, EIM with Skulpt®, and clinical evaluation including the questionnaire SARC-F. MRIs were reviewed to assess the Goutallier score of paravertebral muscles at L3 level and to calculate the cross sectional area (CSA) of both psoas, quadratus lumborum, erector spinae, and multifidus muscles on a single axial slice at L3 level, in order to calculate the skeletal muscle index (SMI=CSA/height(2)). We tested the correlation between EIM-derived parameters [body fat percentage (BF%) and muscle quality] and body mass index (BMI), Goutallier score (1–4), SMI, and SARC-F scores (0–10) using the Pearson correlation coefficient. The strength of association was considered large (0.5 to 1.0), medium (0.3 to 0.5), small (0.1 to 0.3). RESULTS: Pearson’s correlation coefficient showed small (0.26) but significant (p < 0.01) positive correlation between BF% obtained with EIM and Goutallier score. Small negative correlation (− 0.22, p < 0.01) was found between EIM muscle quality and Goutallier Score. Large negative correlation (− 0.56, p < 0.01) was found between SMI and Goutallier Score, while SMI showed small negative correlation with SARC-F (− 0.29, p < 0.01). Medium positive correlation was found between Goutallier Score and SARC-F (0.41, p < 0.01). BMI showed medium positive correlation with SMI (r = 0.369, p < 0.01) and small correlation with EIM muscle quality (r = − 0.291, p < 0.05) and BF% (r = 0.227, p < 0.05). We found a substantial increase of the strength of associations of BF% and muscle quality with Goutallier in the 18–40 years (r = 0.485 and r = − 0.401, respectively) and in the 41–70 years group (r = 0.448 and r = − 0.365, respectively). CONCLUSIONS: Muscle quality and BF% measured by EIM device showed only small strength of correlation with other quantitative parameters for assessing muscle mass and fat infiltration. Interesting results have been found in younger patients, but Skulpt Chisel™ should be applied cautiously to assess lumbar skeletal muscle composition. This point deserves further investigation and other studies are warranted. TRIAL REGISTRATION: The registration number of this study is 107/INT/2019.
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spelling pubmed-96444982022-11-15 Comparison between magnetic resonance imaging and electrical impedance myography for evaluating lumbar skeletal muscle composition Albano, Domenico Gitto, Salvatore Vitale, Jacopo Bernareggi, Susan Aliprandi, Alberto Sconfienza, Luca Maria Messina, Carmelo BMC Musculoskelet Disord Research BACKGROUND: To compare electrical impedance myography (EIM) and MRI in assessing lumbar skeletal muscle composition. METHODS: One hundred forty-one patients (78 females, mean age 57 ± 19 years) were prospectively enrolled and underwent lumbar spine MRI, EIM with Skulpt®, and clinical evaluation including the questionnaire SARC-F. MRIs were reviewed to assess the Goutallier score of paravertebral muscles at L3 level and to calculate the cross sectional area (CSA) of both psoas, quadratus lumborum, erector spinae, and multifidus muscles on a single axial slice at L3 level, in order to calculate the skeletal muscle index (SMI=CSA/height(2)). We tested the correlation between EIM-derived parameters [body fat percentage (BF%) and muscle quality] and body mass index (BMI), Goutallier score (1–4), SMI, and SARC-F scores (0–10) using the Pearson correlation coefficient. The strength of association was considered large (0.5 to 1.0), medium (0.3 to 0.5), small (0.1 to 0.3). RESULTS: Pearson’s correlation coefficient showed small (0.26) but significant (p < 0.01) positive correlation between BF% obtained with EIM and Goutallier score. Small negative correlation (− 0.22, p < 0.01) was found between EIM muscle quality and Goutallier Score. Large negative correlation (− 0.56, p < 0.01) was found between SMI and Goutallier Score, while SMI showed small negative correlation with SARC-F (− 0.29, p < 0.01). Medium positive correlation was found between Goutallier Score and SARC-F (0.41, p < 0.01). BMI showed medium positive correlation with SMI (r = 0.369, p < 0.01) and small correlation with EIM muscle quality (r = − 0.291, p < 0.05) and BF% (r = 0.227, p < 0.05). We found a substantial increase of the strength of associations of BF% and muscle quality with Goutallier in the 18–40 years (r = 0.485 and r = − 0.401, respectively) and in the 41–70 years group (r = 0.448 and r = − 0.365, respectively). CONCLUSIONS: Muscle quality and BF% measured by EIM device showed only small strength of correlation with other quantitative parameters for assessing muscle mass and fat infiltration. Interesting results have been found in younger patients, but Skulpt Chisel™ should be applied cautiously to assess lumbar skeletal muscle composition. This point deserves further investigation and other studies are warranted. TRIAL REGISTRATION: The registration number of this study is 107/INT/2019. BioMed Central 2022-11-09 /pmc/articles/PMC9644498/ /pubmed/36348334 http://dx.doi.org/10.1186/s12891-022-05902-9 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Albano, Domenico
Gitto, Salvatore
Vitale, Jacopo
Bernareggi, Susan
Aliprandi, Alberto
Sconfienza, Luca Maria
Messina, Carmelo
Comparison between magnetic resonance imaging and electrical impedance myography for evaluating lumbar skeletal muscle composition
title Comparison between magnetic resonance imaging and electrical impedance myography for evaluating lumbar skeletal muscle composition
title_full Comparison between magnetic resonance imaging and electrical impedance myography for evaluating lumbar skeletal muscle composition
title_fullStr Comparison between magnetic resonance imaging and electrical impedance myography for evaluating lumbar skeletal muscle composition
title_full_unstemmed Comparison between magnetic resonance imaging and electrical impedance myography for evaluating lumbar skeletal muscle composition
title_short Comparison between magnetic resonance imaging and electrical impedance myography for evaluating lumbar skeletal muscle composition
title_sort comparison between magnetic resonance imaging and electrical impedance myography for evaluating lumbar skeletal muscle composition
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9644498/
https://www.ncbi.nlm.nih.gov/pubmed/36348334
http://dx.doi.org/10.1186/s12891-022-05902-9
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