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Longitudinal MRI quantification of muscle degeneration in Duchenne muscular dystrophy
OBJECTIVE: The aim of this study was to evaluate the usefulness of magnetic resonance imaging (MRI) in detecting the progression of Duchenne muscular dystrophy (DMD) by quantification of fat infiltration (FI) and muscle volume index (MVI, a residual‐to‐total muscle volume ratio). METHODS: Twenty‐six...
Autores principales: | , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4999593/ https://www.ncbi.nlm.nih.gov/pubmed/27606343 http://dx.doi.org/10.1002/acn3.319 |
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author | Godi, Claudia Ambrosi, Alessandro Nicastro, Francesca Previtali, Stefano C. Santarosa, Corrado Napolitano, Sara Iadanza, Antonella Scarlato, Marina Natali Sora, Maria Grazia Tettamanti, Andrea Gerevini, Simonetta Cicalese, Maria Pia Sitzia, Clementina Venturini, Massimo Falini, Andrea Gatti, Roberto Ciceri, Fabio Cossu, Giulio Torrente, Yvan Politi, Letterio S. |
author_facet | Godi, Claudia Ambrosi, Alessandro Nicastro, Francesca Previtali, Stefano C. Santarosa, Corrado Napolitano, Sara Iadanza, Antonella Scarlato, Marina Natali Sora, Maria Grazia Tettamanti, Andrea Gerevini, Simonetta Cicalese, Maria Pia Sitzia, Clementina Venturini, Massimo Falini, Andrea Gatti, Roberto Ciceri, Fabio Cossu, Giulio Torrente, Yvan Politi, Letterio S. |
author_sort | Godi, Claudia |
collection | PubMed |
description | OBJECTIVE: The aim of this study was to evaluate the usefulness of magnetic resonance imaging (MRI) in detecting the progression of Duchenne muscular dystrophy (DMD) by quantification of fat infiltration (FI) and muscle volume index (MVI, a residual‐to‐total muscle volume ratio). METHODS: Twenty‐six patients (baseline age: 5–12 years) with genetically proven DMD were longitudinally analyzed with lower limb 3T MRI, force measurements, and functional tests (Gowers, 10‐m time, North Star Ambulatory Assessment, 6‐min walking test). Five age‐matched controls were also examined, with a total of 85 MRI studies. Semiquantitative (scores) and quantitative MRI (qMRI) analyses (signal intensity ratio – SIR, lower limb MVI, and individual muscle MVI) were carried out. Permutation and regression analyses according to both age and functional test‐outcomes were calculated. Age‐related quantitative reference curves of SIRs and MVIs were generated. RESULTS: FI was present on glutei and adductor magnus in all patients since the age of 5, with a proximal‐to‐distal progression and selective sparing of sartorius and gracilis. Patients' qMRI measures were significantly different from controls' and among age classes. qMRI were more sensitive than force measurements and functional tests in assessing disease progression, allowing quantification also after loss of ambulation. Age‐related curves with percentile values were calculated for SIRs and MVIs, to provide a reference background for future experimental therapy trials. SIRs and MVIs significantly correlated with all clinical measures, and could reliably predict functional outcomes and loss of ambulation. INTERPRETATIONS: qMRI‐based indexes are sensitive measures that can track the progression of DMD and represent a valuable tool for follow‐up and clinical studies. |
format | Online Article Text |
id | pubmed-4999593 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-49995932016-09-07 Longitudinal MRI quantification of muscle degeneration in Duchenne muscular dystrophy Godi, Claudia Ambrosi, Alessandro Nicastro, Francesca Previtali, Stefano C. Santarosa, Corrado Napolitano, Sara Iadanza, Antonella Scarlato, Marina Natali Sora, Maria Grazia Tettamanti, Andrea Gerevini, Simonetta Cicalese, Maria Pia Sitzia, Clementina Venturini, Massimo Falini, Andrea Gatti, Roberto Ciceri, Fabio Cossu, Giulio Torrente, Yvan Politi, Letterio S. Ann Clin Transl Neurol Research Articles OBJECTIVE: The aim of this study was to evaluate the usefulness of magnetic resonance imaging (MRI) in detecting the progression of Duchenne muscular dystrophy (DMD) by quantification of fat infiltration (FI) and muscle volume index (MVI, a residual‐to‐total muscle volume ratio). METHODS: Twenty‐six patients (baseline age: 5–12 years) with genetically proven DMD were longitudinally analyzed with lower limb 3T MRI, force measurements, and functional tests (Gowers, 10‐m time, North Star Ambulatory Assessment, 6‐min walking test). Five age‐matched controls were also examined, with a total of 85 MRI studies. Semiquantitative (scores) and quantitative MRI (qMRI) analyses (signal intensity ratio – SIR, lower limb MVI, and individual muscle MVI) were carried out. Permutation and regression analyses according to both age and functional test‐outcomes were calculated. Age‐related quantitative reference curves of SIRs and MVIs were generated. RESULTS: FI was present on glutei and adductor magnus in all patients since the age of 5, with a proximal‐to‐distal progression and selective sparing of sartorius and gracilis. Patients' qMRI measures were significantly different from controls' and among age classes. qMRI were more sensitive than force measurements and functional tests in assessing disease progression, allowing quantification also after loss of ambulation. Age‐related curves with percentile values were calculated for SIRs and MVIs, to provide a reference background for future experimental therapy trials. SIRs and MVIs significantly correlated with all clinical measures, and could reliably predict functional outcomes and loss of ambulation. INTERPRETATIONS: qMRI‐based indexes are sensitive measures that can track the progression of DMD and represent a valuable tool for follow‐up and clinical studies. John Wiley and Sons Inc. 2016-06-16 /pmc/articles/PMC4999593/ /pubmed/27606343 http://dx.doi.org/10.1002/acn3.319 Text en © 2016 The Authors. Annals of Clinical and Translational Neurology published by Wiley Periodicals, Inc on behalf of American Neurological Association. This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial‐NoDerivs (http://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Research Articles Godi, Claudia Ambrosi, Alessandro Nicastro, Francesca Previtali, Stefano C. Santarosa, Corrado Napolitano, Sara Iadanza, Antonella Scarlato, Marina Natali Sora, Maria Grazia Tettamanti, Andrea Gerevini, Simonetta Cicalese, Maria Pia Sitzia, Clementina Venturini, Massimo Falini, Andrea Gatti, Roberto Ciceri, Fabio Cossu, Giulio Torrente, Yvan Politi, Letterio S. Longitudinal MRI quantification of muscle degeneration in Duchenne muscular dystrophy |
title | Longitudinal MRI quantification of muscle degeneration in Duchenne muscular dystrophy |
title_full | Longitudinal MRI quantification of muscle degeneration in Duchenne muscular dystrophy |
title_fullStr | Longitudinal MRI quantification of muscle degeneration in Duchenne muscular dystrophy |
title_full_unstemmed | Longitudinal MRI quantification of muscle degeneration in Duchenne muscular dystrophy |
title_short | Longitudinal MRI quantification of muscle degeneration in Duchenne muscular dystrophy |
title_sort | longitudinal mri quantification of muscle degeneration in duchenne muscular dystrophy |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4999593/ https://www.ncbi.nlm.nih.gov/pubmed/27606343 http://dx.doi.org/10.1002/acn3.319 |
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