The development of quantitative NMR outcome measures in order to monitor natural history of neuromuscular disorders or therapeutic interventions is crucial. Global muscle T1 values is strongly affected in chronic disease when healthy muscle is replaced by fat and this parameter can be used for diagnostic purposes. Nevertheless, very little is known about the effects of tissue water compartmentation and distribution on muscle T1 values. Here, we investigated the variations of skeletal muscle T1 values under various physiological conditions using a fast T1 mapping sequence and evaluated the potential of this biomarker in the context of disease monitoring.
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