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NEUROMUSCLAR DISEASE

The expanding role of MRI in neuromuscular disorders

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Muscle imaging is increasingly important in the management of neuromuscular diseases, and techniques are becoming ever more sophisticated. Three new studies demonstrate the advances being made in diagnostic and quantitative muscle imaging, including the incorporation of artificial intelligence for image analysis.

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  • 20 March 2020

    In the original published version of this article the corresponding author and ORCID details were incorrect. The corresponding author is Pierre Carlier and the included ORCID is Pierre Carlier’s. These have now been updated.

References

  1. Verdú-Díaz, J. et al. Accuracy of a machine learning muscle MRI-based tool for the diagnosis of muscular dystrophies. Neurology https://doi.org/10.1212/WNL.0000000000009068 (2020).

    Article  PubMed  Google Scholar 

  2. Barnard, A. M. et al. MR biomarkers predict clinical function in Duchenne muscular dystrophy. Neurology https://doi.org/10.1212/WNL.0000000000009012 (2020).

    Article  PubMed  Google Scholar 

  3. Müller, M. et al. Semi-automated volumetry of MRI serves as a biomarker in neuromuscular patients. Muscle Nerve https://doi.org/10.1002/mus.26827 (2020).

    Article  PubMed  Google Scholar 

  4. Carlier, P. G. et al. Skeletal muscle quantitative nuclear magnetic resonance imaging and spectroscopy as an outcome measure for clinical trials. J. Neuromuscul. Dis. 3, 1–28 (2016).

    Article  Google Scholar 

  5. Regensburger, A. P. et al. Detection of collagens by multispectral optoacoustic tomography as an imaging biomarker for Duchenne muscular dystrophy. Nat. Med. 25, 1905–1915 (2019).

    Article  CAS  Google Scholar 

  6. Bonati, U. et al. Quantitative muscle MRI: A powerful surrogate outcome measure in Duchenne muscular dystrophy. Neuromuscul. Disord. 25, 679–685 (2015).

    Article  Google Scholar 

  7. Naarding, K. J. et al. MRI vastus lateralis fat fraction predicts loss of ambulation in Duchenne muscular dystrophy. Neurology https://doi.org/10.1212/WNL.0000000000008939 (2020).

    Article  PubMed  Google Scholar 

  8. Gerhalter, T. et al. 23 Na MRI depicts early changes in ion homeostasis in skeletal muscle tissue of patients with duchenne muscular dystrophy. J. Magn. Reson. Imaging 50, 1103–1113 (2019).

    Article  Google Scholar 

  9. Wokke, B. H. et al. Quantitative MRI and strength measurements in the assessment of muscle quality in Duchenne muscular dystrophy. Neuromuscul. Disord. 24, 409–416 (2014).

    Article  CAS  Google Scholar 

  10. Sneszhko, E., Baudin, P. & Carlier, P. Skeletal muscle NMR image automatic segmentation using convolutional neural network. Neuromuscul. Disord. 28, S119 (2018).

    Article  Google Scholar 

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Correspondence to Pierre G. Carlier.

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Carlier, P.G., Reyngoudt, H. The expanding role of MRI in neuromuscular disorders. Nat Rev Neurol 16, 301–302 (2020). https://doi.org/10.1038/s41582-020-0346-2

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