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From Voxels to Physiology: A Review of Diffusion Magnetic Resonance Imaging Applications in Skeletal Muscle.
Berry, David B; Gordon, Joseph A; Adair, Vincent; Frank, Lawrence R; Ward, Samuel R.
Afiliação
  • Berry DB; Department of Orthopaedic Surgery, University of California, San Diego, California, USA.
  • Gordon JA; Department of Orthopaedic Surgery, University of California, San Diego, California, USA.
  • Adair V; Department of Medicine, University of California, San Diego, California, USA.
  • Frank LR; Center for Scientific Computation in Imaging, University of California, San Diego, California, USA.
  • Ward SR; Department of Orthopaedic Surgery, University of California, San Diego, California, USA.
J Magn Reson Imaging ; 2024 Jun 20.
Article em En | MEDLINE | ID: mdl-39031753
ABSTRACT
Skeletal muscle has a classic structure function relationship; both skeletal muscle microstructure and architecture are directly related to force generating capacity. Biopsy, the gold standard for evaluating muscle microstructure, is highly invasive, destructive to muscle, and provides only a small amount of information about the entire volume of a muscle. Similarly, muscle fiber lengths and pennation angles, key features of muscle architecture predictive of muscle function, are traditionally studied via cadaveric dissection. Noninvasive techniques such as diffusion magnetic resonance imaging (dMRI) offer quantitative approaches to study skeletal muscle microstructure and architecture. Despite its prevalence in applications for musculoskeletal research, clinical adoption is hindered by a lack of understanding regarding its sensitivity to clinically important biomarkers such as muscle fiber cross-sectional area. This review aims to elucidate how dMRI has been utilized to study skeletal muscle, covering fundamentals of muscle physiology, dMRI acquisition techniques, dMRI modeling, and applications where dMRI has been leveraged to noninvasively study skeletal muscle changes in response to disease, aging, injury, and human performance. LEVEL OF EVIDENCE 5 TECHNICAL EFFICACY Stage 2.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: J Magn Reson Imaging Assunto da revista: DIAGNOSTICO POR IMAGEM Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: J Magn Reson Imaging Assunto da revista: DIAGNOSTICO POR IMAGEM Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos