Multiparametric quantitative MRI assessment of thigh muscles in limb-girdle muscular dystrophy 2A and 2B

Filippo Arrigoni, Alberto De Luca, Daniele Velardo, Francesca Magri, Sandra Gandossini, Annamaria Russo, Martijn Froeling, Alessandra Bertoldo, Alexander Leemans, Nereo Bresolin, Maria Grazia D'angelo

Research output: Contribution to journalArticle

Abstract

INTRODUCTION: The aim of this study was to apply quantitative MRI (qMRI) to assess structural modifications in thigh muscles of subjects with limb girdle muscular dystrophy (LGMD) 2A and 2B with long disease duration.

METHODS: Eleven LGMD2A, 9 LGMD2B patients and 11 healthy controls underwent a multi-parametric 3T MRI examination of the thigh. The protocol included structural T1-weighted images, DIXON sequences for fat fraction calculation, T2 values quantification and diffusion MRI. Region of interest analysis was performed on 4 different compartments (anterior compartment, posterior compartment, gracilis, sartorius).

RESULTS: Patients showed high levels of fat infiltration as measured by DIXON sequences. Sartorius and anterior compartment were more infiltrated in LGMD2B than LGMD2A patients. T2 values were mildly reduced in both disorders. Correlations between clinical scores and qMRI were found.

CONCLUSIONS: qMRI measures may help to quantify muscular degeneration, but careful interpretation is needed when fat infiltration is massive. Muscle Nerve 58: 550-558, 2018.

Original languageEnglish
Pages (from-to)550-558
Number of pages9
JournalMuscle and Nerve
Volume58
Issue number4
DOIs
Publication statusPublished - Oct 2018

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Thigh
Fats
Muscles
Diffusion Magnetic Resonance Imaging
Limb-girdle muscular dystrophy type 2A
Type 2B Limb-girdle muscular dystrophy

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Multiparametric quantitative MRI assessment of thigh muscles in limb-girdle muscular dystrophy 2A and 2B. / Arrigoni, Filippo; De Luca, Alberto; Velardo, Daniele; Magri, Francesca; Gandossini, Sandra; Russo, Annamaria; Froeling, Martijn; Bertoldo, Alessandra; Leemans, Alexander; Bresolin, Nereo; D'angelo, Maria Grazia.

In: Muscle and Nerve, Vol. 58, No. 4, 10.2018, p. 550-558.

Research output: Contribution to journalArticle

Arrigoni, Filippo ; De Luca, Alberto ; Velardo, Daniele ; Magri, Francesca ; Gandossini, Sandra ; Russo, Annamaria ; Froeling, Martijn ; Bertoldo, Alessandra ; Leemans, Alexander ; Bresolin, Nereo ; D'angelo, Maria Grazia. / Multiparametric quantitative MRI assessment of thigh muscles in limb-girdle muscular dystrophy 2A and 2B. In: Muscle and Nerve. 2018 ; Vol. 58, No. 4. pp. 550-558.
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abstract = "INTRODUCTION: The aim of this study was to apply quantitative MRI (qMRI) to assess structural modifications in thigh muscles of subjects with limb girdle muscular dystrophy (LGMD) 2A and 2B with long disease duration.METHODS: Eleven LGMD2A, 9 LGMD2B patients and 11 healthy controls underwent a multi-parametric 3T MRI examination of the thigh. The protocol included structural T1-weighted images, DIXON sequences for fat fraction calculation, T2 values quantification and diffusion MRI. Region of interest analysis was performed on 4 different compartments (anterior compartment, posterior compartment, gracilis, sartorius).RESULTS: Patients showed high levels of fat infiltration as measured by DIXON sequences. Sartorius and anterior compartment were more infiltrated in LGMD2B than LGMD2A patients. T2 values were mildly reduced in both disorders. Correlations between clinical scores and qMRI were found.CONCLUSIONS: qMRI measures may help to quantify muscular degeneration, but careful interpretation is needed when fat infiltration is massive. Muscle Nerve 58: 550-558, 2018.",
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AU - Arrigoni, Filippo

AU - De Luca, Alberto

AU - Velardo, Daniele

AU - Magri, Francesca

AU - Gandossini, Sandra

AU - Russo, Annamaria

AU - Froeling, Martijn

AU - Bertoldo, Alessandra

AU - Leemans, Alexander

AU - Bresolin, Nereo

AU - D'angelo, Maria Grazia

N1 - © 2018 Wiley Periodicals, Inc.

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N2 - INTRODUCTION: The aim of this study was to apply quantitative MRI (qMRI) to assess structural modifications in thigh muscles of subjects with limb girdle muscular dystrophy (LGMD) 2A and 2B with long disease duration.METHODS: Eleven LGMD2A, 9 LGMD2B patients and 11 healthy controls underwent a multi-parametric 3T MRI examination of the thigh. The protocol included structural T1-weighted images, DIXON sequences for fat fraction calculation, T2 values quantification and diffusion MRI. Region of interest analysis was performed on 4 different compartments (anterior compartment, posterior compartment, gracilis, sartorius).RESULTS: Patients showed high levels of fat infiltration as measured by DIXON sequences. Sartorius and anterior compartment were more infiltrated in LGMD2B than LGMD2A patients. T2 values were mildly reduced in both disorders. Correlations between clinical scores and qMRI were found.CONCLUSIONS: qMRI measures may help to quantify muscular degeneration, but careful interpretation is needed when fat infiltration is massive. Muscle Nerve 58: 550-558, 2018.

AB - INTRODUCTION: The aim of this study was to apply quantitative MRI (qMRI) to assess structural modifications in thigh muscles of subjects with limb girdle muscular dystrophy (LGMD) 2A and 2B with long disease duration.METHODS: Eleven LGMD2A, 9 LGMD2B patients and 11 healthy controls underwent a multi-parametric 3T MRI examination of the thigh. The protocol included structural T1-weighted images, DIXON sequences for fat fraction calculation, T2 values quantification and diffusion MRI. Region of interest analysis was performed on 4 different compartments (anterior compartment, posterior compartment, gracilis, sartorius).RESULTS: Patients showed high levels of fat infiltration as measured by DIXON sequences. Sartorius and anterior compartment were more infiltrated in LGMD2B than LGMD2A patients. T2 values were mildly reduced in both disorders. Correlations between clinical scores and qMRI were found.CONCLUSIONS: qMRI measures may help to quantify muscular degeneration, but careful interpretation is needed when fat infiltration is massive. Muscle Nerve 58: 550-558, 2018.

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