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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...

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Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2016
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.
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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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