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Quantifying skeletal muscle volume and shape in humans using MRI: A systematic review of validity and reliability

AIMS: The aim of this study was to report the metrological qualities of techniques currently used to quantify skeletal muscle volume and 3D shape in healthy and pathological muscles. METHODS: A systematic review was conducted (Prospero CRD42018082708). PubMed, Web of Science, Cochrane and Scopus dat...

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Autores principales: Pons, Christelle, Borotikar, Bhushan, Garetier, Marc, Burdin, Valérie, Ben Salem, Douraied, Lempereur, Mathieu, Brochard, Sylvain
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6264864/
https://www.ncbi.nlm.nih.gov/pubmed/30496308
http://dx.doi.org/10.1371/journal.pone.0207847
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author Pons, Christelle
Borotikar, Bhushan
Garetier, Marc
Burdin, Valérie
Ben Salem, Douraied
Lempereur, Mathieu
Brochard, Sylvain
author_facet Pons, Christelle
Borotikar, Bhushan
Garetier, Marc
Burdin, Valérie
Ben Salem, Douraied
Lempereur, Mathieu
Brochard, Sylvain
author_sort Pons, Christelle
collection PubMed
description AIMS: The aim of this study was to report the metrological qualities of techniques currently used to quantify skeletal muscle volume and 3D shape in healthy and pathological muscles. METHODS: A systematic review was conducted (Prospero CRD42018082708). PubMed, Web of Science, Cochrane and Scopus databases were searched using relevant keywords and inclusion/exclusion criteria. The quality of the articles was evaluated using a customized scale. RESULTS: Thirty articles were included, 6 of which included pathological muscles. Most evaluated lower limb muscles. Partially or completely automatic and manual techniques were assessed in 10 and 24 articles, respectively. Manual slice-by-slice segmentation reliability was good-to-excellent (n = 8 articles) and validity against dissection was moderate to good(n = 1). Manual slice-by-slice segmentation was used as a gold-standard method in the other articles. Reduction of the number of manually segmented slices (n = 6) provided good to excellent validity if a sufficient number of appropriate slices was chosen. Segmentation on one slice (n = 11) increased volume errors. The Deformation of a Parametric Specific Object (DPSO) method (n = 5) decreased the number of manually-segmented slices required for any chosen level of error. Other automatic techniques combined with different statistical shape or atlas/images-based methods (n = 4) had good validity. Some particularities were highlighted for specific muscles. Except for manual slice by slice segmentation, reliability has rarely been reported. CONCLUSIONS: The results of this systematic review help the choice of appropriate segmentation techniques, according to the purpose of the measurement. In healthy populations, techniques that greatly simplified the process of manual segmentation yielded greater errors in volume and shape estimations. Reduction of the number of manually segmented slices was possible with appropriately chosen segmented slices or with DPSO. Other automatic techniques showed promise, but data were insufficient for their validation. More data on the metrological quality of techniques used in the cases of muscle pathology are required.
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spelling pubmed-62648642018-12-19 Quantifying skeletal muscle volume and shape in humans using MRI: A systematic review of validity and reliability Pons, Christelle Borotikar, Bhushan Garetier, Marc Burdin, Valérie Ben Salem, Douraied Lempereur, Mathieu Brochard, Sylvain PLoS One Research Article AIMS: The aim of this study was to report the metrological qualities of techniques currently used to quantify skeletal muscle volume and 3D shape in healthy and pathological muscles. METHODS: A systematic review was conducted (Prospero CRD42018082708). PubMed, Web of Science, Cochrane and Scopus databases were searched using relevant keywords and inclusion/exclusion criteria. The quality of the articles was evaluated using a customized scale. RESULTS: Thirty articles were included, 6 of which included pathological muscles. Most evaluated lower limb muscles. Partially or completely automatic and manual techniques were assessed in 10 and 24 articles, respectively. Manual slice-by-slice segmentation reliability was good-to-excellent (n = 8 articles) and validity against dissection was moderate to good(n = 1). Manual slice-by-slice segmentation was used as a gold-standard method in the other articles. Reduction of the number of manually segmented slices (n = 6) provided good to excellent validity if a sufficient number of appropriate slices was chosen. Segmentation on one slice (n = 11) increased volume errors. The Deformation of a Parametric Specific Object (DPSO) method (n = 5) decreased the number of manually-segmented slices required for any chosen level of error. Other automatic techniques combined with different statistical shape or atlas/images-based methods (n = 4) had good validity. Some particularities were highlighted for specific muscles. Except for manual slice by slice segmentation, reliability has rarely been reported. CONCLUSIONS: The results of this systematic review help the choice of appropriate segmentation techniques, according to the purpose of the measurement. In healthy populations, techniques that greatly simplified the process of manual segmentation yielded greater errors in volume and shape estimations. Reduction of the number of manually segmented slices was possible with appropriately chosen segmented slices or with DPSO. Other automatic techniques showed promise, but data were insufficient for their validation. More data on the metrological quality of techniques used in the cases of muscle pathology are required. Public Library of Science 2018-11-29 /pmc/articles/PMC6264864/ /pubmed/30496308 http://dx.doi.org/10.1371/journal.pone.0207847 Text en © 2018 Pons et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Pons, Christelle
Borotikar, Bhushan
Garetier, Marc
Burdin, Valérie
Ben Salem, Douraied
Lempereur, Mathieu
Brochard, Sylvain
Quantifying skeletal muscle volume and shape in humans using MRI: A systematic review of validity and reliability
title Quantifying skeletal muscle volume and shape in humans using MRI: A systematic review of validity and reliability
title_full Quantifying skeletal muscle volume and shape in humans using MRI: A systematic review of validity and reliability
title_fullStr Quantifying skeletal muscle volume and shape in humans using MRI: A systematic review of validity and reliability
title_full_unstemmed Quantifying skeletal muscle volume and shape in humans using MRI: A systematic review of validity and reliability
title_short Quantifying skeletal muscle volume and shape in humans using MRI: A systematic review of validity and reliability
title_sort quantifying skeletal muscle volume and shape in humans using mri: a systematic review of validity and reliability
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6264864/
https://www.ncbi.nlm.nih.gov/pubmed/30496308
http://dx.doi.org/10.1371/journal.pone.0207847
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