Literature DB >> 31980579

Fat fraction distribution in lower limb muscles of patients with CMT1A: A quantitative MRI study.

Joachim Bas1, Augustin C Ogier1, Arnaud Le Troter1, Emilien Delmont1, Benjamin Leporq1, Lauriane Pini1, Maxime Guye1, Amandine Parlanti1, Marie-Noëlle Lefebvre1, David Bendahan1, Shahram Attarian2.   

Abstract

OBJECTIVE: To quantitatively describe the MRI fat infiltration pattern of muscle degeneration in Charcot-Marie-Tooth (CMT) type 1A (CMT1A) disease and to look for correlations with clinical variables.
METHODS: MRI fat fraction was assessed in lower-limb musculature of patients with CMT1A and healthy controls. More particularly, 14 muscle compartments were selected at leg and thigh levels and for proximal, distal, and medial slices. Muscle fat infiltration profile was determined quantitatively in each muscle compartment and along the entire volume of acquisition to determine a length-dependent gradient of fat infiltration. Clinical impairment was evaluated with muscle strength measurements and CMT Examination Scores (CMTESs).
RESULTS: A total of 16 patients with CMT1A were enrolled and compared to 11 healthy controls. Patients with CMT1A showed a larger muscle fat fraction at leg and thigh levels with a proximal-to-distal gradient. At the leg level, the largest fat infiltration was quantified in the anterior and lateral compartments. CMTES was correlated with fat fraction, especially in the anterior compartment of leg muscles. Strength of plantar flexion was also correlated with fat fraction of the posterior compartments of leg muscles.
CONCLUSION: On the basis of quantitative MRI measurements combined with a dedicated segmentation method, muscle fat infiltration quantified in patients with CMT1A disclosed a length-dependent peroneal-type pattern of fat infiltration and was correlated to main clinical variables. Quantification of fat fraction at different levels of the leg anterior compartment might be of interest in future clinical trials.
© 2020 American Academy of Neurology.

Entities:  

Year:  2020        PMID: 31980579     DOI: 10.1212/WNL.0000000000009013

Source DB:  PubMed          Journal:  Neurology        ISSN: 0028-3878            Impact factor:   9.910


  7 in total

1.  Muscle quantitative MRI as a novel biomarker in hereditary transthyretin amyloidosis with polyneuropathy: a cross-sectional study.

Authors:  Elisa Vegezzi; Andrea Cortese; Laura Obici; Anna Pichiecchio; Niels Bergsland; Roberta Mussinelli; Matteo Paoletti; Francesca Solazzo; Riccardo Currò; Lucia Ascagni; Ilaria Callegari; Ilaria Quartesan; Alessandro Lozza; Xeni Deligianni; Francesco Santini; Enrico Marchioni; Giuseppe Cosentino; Enrico Alfonsi; Cristina Tassorelli; Stefano Bastianello; Giampaolo Merlini; Giovanni Palladini
Journal:  J Neurol       Date:  2022-09-06       Impact factor: 6.682

2.  Texture analysis using T1-weighted images for muscles in Charcot-Marie-Tooth disease patients and volunteers.

Authors:  Ji Hyun Lee; Young Cheol Yoon; Hyun Su Kim; Jae-Hun Kim; Byung-Ok Choi
Journal:  Eur Radiol       Date:  2020-10-30       Impact factor: 5.315

3.  Semi-Automatic MRI Muscle Volumetry to Diagnose and Monitor Hereditary and Acquired Polyneuropathies.

Authors:  Friederike S Bähr; Burkhard Gess; Madlaine Müller; Sandro Romanzetti; Michael Gadermayr; Christiane Kuhl; Sven Nebelung; Jörg B Schulz; Maike F Dohrn
Journal:  Brain Sci       Date:  2021-02-06

Review 4.  Overview of MR Image Segmentation Strategies in Neuromuscular Disorders.

Authors:  Augustin C Ogier; Marc-Adrien Hostin; Marc-Emmanuel Bellemare; David Bendahan
Journal:  Front Neurol       Date:  2021-03-25       Impact factor: 4.003

5.  New Keys to Early Diagnosis: Muscle Echogenicity, Nerve Ultrasound Patterns, Electrodiagnostic, and Clinical Parameters in 150 Patients with Hereditary Polyneuropathies.

Authors:  Natalie Winter; Debora Vittore; Burkhard Gess; Jörg B Schulz; Alexander Grimm; Maike F Dohrn
Journal:  Neurotherapeutics       Date:  2021-10-27       Impact factor: 7.620

6.  Skeletal Muscle Involvement Pattern of Hereditary Transthyretin Amyloidosis: A Study Based on Muscle MRI.

Authors:  Xujun Chu; Kang Du; Yuwei Tang; Xutong Zhao; Meng Yu; Yiming Zheng; Jianwen Deng; He Lv; Wei Zhang; Zhaoxia Wang; Yun Yuan; Lingchao Meng
Journal:  Front Neurol       Date:  2022-05-02       Impact factor: 4.003

7.  Magnetic resonance imaging-based lower limb muscle evaluation in Charcot-Marie-Tooth disease type 1A patients and its correlation with clinical data.

Authors:  Yeo Jin Kim; Hyun Su Kim; Ji Hyun Lee; Young Cheol Yoon; Byung-Ok Choi
Journal:  Sci Rep       Date:  2022-10-05       Impact factor: 4.996

  7 in total

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