Why the study?
Does diffusion tensor imaging accurately reflect microstructural features like fiber size in simulated skeletal muscle?
Does diffusion tensor imaging accurately reflect microstructural features like fiber size in simulated skeletal muscle?
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DTI is a sensitive tool to monitor muscle atrophy (fiber size <60 μm) but may be limited in measuring muscle with larger fibers due to a plateau effect.
PURPOSE: To establish a series of relationships defining how muscle microstructure and diffusion tensor imaging (DTI) are related. METHODS: The relationship among key microstructural features of skeletal muscle (fiber size, fibrosis, edema, and permeability) and the diffusion tensor were systematically simulated over physiologically relevant dimensions individually, and in combination, using a numerical simulation application. Stepwise multiple regression was used to identify which microstructural features of muscle significantly predict the diffusion tensor using single-echo and multi-echo DTI pulse sequences. Simulations were also performed in models with histology-informed geometry to investigate the relationship between fiber size and the diffusion tensor in models with real muscle geometry. RESULTS: component of the multi-echo DTI sequence. This nonlinear relationship begins to plateau in fibers with greater than 60-μm diameter. CONCLUSIONS: As the normal fiber size of a human muscle fiber is 40 to 60 μm, this suggests that DTI is a sensitive tool to monitor muscle atrophy, but may be limited in measurements of muscle with larger fibers. Magn Reson Med 80:317-329, 2018.
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Berry et al. (2017) studied this question.
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