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DOI 10.1016/j.jot.2023.07.005

Медицинская библиотека · Journal of orthopaedic translation · 2023

Magnetic resonance imaging techniques for the quantitative analysis of skeletal muscle: State of the art.

Engelke Klaus, Chaudry Oliver, Gast Lena, Eldib Mootaz Ab, Wang Ling, Laredo Jean-Denis, Schett Georg, Nagel Armin M

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Аннотация

BACKGROUND

Magnetic resonance imaging (MRI) is the dominant 3D imaging modality to quantify muscle properties in skeletal muscle disorders, in inherited and acquired muscle diseases, and in sarcopenia, in cachexia and frailty.

METHODS

This review covers T1 weighted and Dixon sequences, introduces T2 mapping, diffusion tensor imaging (DTI) and non-proton MRI. Technical concepts, strengths, limitations and translational aspects of these techniques are discussed in detail. Examples of clinical applications are outlined. For comparison 31P-and 13C-MR Spectroscopy are also addressed.

RESULTS

MRI technology provides a rich toolset to assess muscle deterioration. In addition to classical measures such as muscle atrophy using T1 weighted imaging and fat infiltration using Dixon sequences, parameters characterizing inflammation from T2 maps, tissue sodium using non-proton MRI techniques or concentration or fiber architecture using diffusion tensor imaging may be useful for an even earlier diagnosis of the impairment of muscle quality.

CONCLUSION

Quantitative MRI provides new options for muscle research and clinical applications. Current limitations that also impair its more widespread use in clinical trials are lack of standardization, ambiguity of image segmentation and analysis approaches, a multitude of outcome parameters without a clear strategy which ones to use and the lack of normal data.

Для цитирования: Engelke Klaus, Chaudry Oliver, Gast Lena, Eldib Mootaz Ab, Wang Ling, Laredo Jean-Denis, Schett Georg, Nagel Armin M. Magnetic resonance imaging techniques for the quantitative analysis of skeletal muscle: State of the art.. Journal of orthopaedic translation. 2023. DOI: 10.1016/j.jot.2023.07.005.
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