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Semi-Automatic MRI Muscle Volumetry to Diagnose and Monitor Hereditary and Acquired Polyneuropathies
With emerging treatment approaches, it is crucial to correctly diagnose and monitor hereditary and acquired polyneuropathies. This study aimed to assess the validity and accuracy of magnet resonance imaging (MRI)-based muscle volumetry.Using semi-automatic segmentations of upper- and lower leg muscl...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7914808/ https://www.ncbi.nlm.nih.gov/pubmed/33562055 http://dx.doi.org/10.3390/brainsci11020202 |
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author | Bähr, Friederike S. Gess, Burkhard Müller, Madlaine Romanzetti, Sandro Gadermayr, Michael Kuhl, Christiane Nebelung, Sven Schulz, Jörg B. Dohrn, Maike F. |
author_facet | Bähr, Friederike S. Gess, Burkhard Müller, Madlaine Romanzetti, Sandro Gadermayr, Michael Kuhl, Christiane Nebelung, Sven Schulz, Jörg B. Dohrn, Maike F. |
author_sort | Bähr, Friederike S. |
collection | PubMed |
description | With emerging treatment approaches, it is crucial to correctly diagnose and monitor hereditary and acquired polyneuropathies. This study aimed to assess the validity and accuracy of magnet resonance imaging (MRI)-based muscle volumetry.Using semi-automatic segmentations of upper- and lower leg muscles based on whole-body MRI and axial T1-weighted turbo spin-echo sequences, we compared and correlated muscle volumes, and clinical and neurophysiological parameters in demyelinating Charcot-Marie-Tooth disease (CMT) (n = 13), chronic inflammatory demyelinating polyneuropathy (CIDP) (n = 27), and other neuropathy (n = 17) patients.The muscle volumes of lower legs correlated with foot dorsiflexion strength (p < 0.0001), CMT Neuropathy Score 2 (p < 0.0001), early gait disorders (p = 0.0486), and in CIDP patients with tibial nerve conduction velocities (p = 0.0092). Lower (p = 0.0218) and upper (p = 0.0342) leg muscles were significantly larger in CIDP compared to CMT patients. At one-year follow-up (n = 15), leg muscle volumes showed no significant decrease.MRI muscle volumetry is a promising method to differentiate and characterize neuropathies in clinical practice. |
format | Online Article Text |
id | pubmed-7914808 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-79148082021-03-01 Semi-Automatic MRI Muscle Volumetry to Diagnose and Monitor Hereditary and Acquired Polyneuropathies Bähr, Friederike S. Gess, Burkhard Müller, Madlaine Romanzetti, Sandro Gadermayr, Michael Kuhl, Christiane Nebelung, Sven Schulz, Jörg B. Dohrn, Maike F. Brain Sci Article With emerging treatment approaches, it is crucial to correctly diagnose and monitor hereditary and acquired polyneuropathies. This study aimed to assess the validity and accuracy of magnet resonance imaging (MRI)-based muscle volumetry.Using semi-automatic segmentations of upper- and lower leg muscles based on whole-body MRI and axial T1-weighted turbo spin-echo sequences, we compared and correlated muscle volumes, and clinical and neurophysiological parameters in demyelinating Charcot-Marie-Tooth disease (CMT) (n = 13), chronic inflammatory demyelinating polyneuropathy (CIDP) (n = 27), and other neuropathy (n = 17) patients.The muscle volumes of lower legs correlated with foot dorsiflexion strength (p < 0.0001), CMT Neuropathy Score 2 (p < 0.0001), early gait disorders (p = 0.0486), and in CIDP patients with tibial nerve conduction velocities (p = 0.0092). Lower (p = 0.0218) and upper (p = 0.0342) leg muscles were significantly larger in CIDP compared to CMT patients. At one-year follow-up (n = 15), leg muscle volumes showed no significant decrease.MRI muscle volumetry is a promising method to differentiate and characterize neuropathies in clinical practice. MDPI 2021-02-06 /pmc/articles/PMC7914808/ /pubmed/33562055 http://dx.doi.org/10.3390/brainsci11020202 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Bähr, Friederike S. Gess, Burkhard Müller, Madlaine Romanzetti, Sandro Gadermayr, Michael Kuhl, Christiane Nebelung, Sven Schulz, Jörg B. Dohrn, Maike F. Semi-Automatic MRI Muscle Volumetry to Diagnose and Monitor Hereditary and Acquired Polyneuropathies |
title | Semi-Automatic MRI Muscle Volumetry to Diagnose and Monitor Hereditary and Acquired Polyneuropathies |
title_full | Semi-Automatic MRI Muscle Volumetry to Diagnose and Monitor Hereditary and Acquired Polyneuropathies |
title_fullStr | Semi-Automatic MRI Muscle Volumetry to Diagnose and Monitor Hereditary and Acquired Polyneuropathies |
title_full_unstemmed | Semi-Automatic MRI Muscle Volumetry to Diagnose and Monitor Hereditary and Acquired Polyneuropathies |
title_short | Semi-Automatic MRI Muscle Volumetry to Diagnose and Monitor Hereditary and Acquired Polyneuropathies |
title_sort | semi-automatic mri muscle volumetry to diagnose and monitor hereditary and acquired polyneuropathies |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7914808/ https://www.ncbi.nlm.nih.gov/pubmed/33562055 http://dx.doi.org/10.3390/brainsci11020202 |
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