The expanding role of MRI in neuromuscular disorders
Author:
Publisher
Springer Science and Business Media LLC
Subject
Cellular and Molecular Neuroscience,Neurology (clinical)
Link
http://www.nature.com/articles/s41582-020-0346-2.pdf
Reference10 articles.
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).
2. Barnard, A. M. et al. MR biomarkers predict clinical function in Duchenne muscular dystrophy. Neurology https://doi.org/10.1212/WNL.0000000000009012 (2020).
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).
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).
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).
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