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Abstract #1348

How to segment muscle images using qNMRI to obtain the highest discriminant power in natural history studies of muscle diseases in adult patients?

Harmen Reyngoudt1,2, Jean-Marc Boisserie1,2, Julien Le Louër1,2, Cedi Koumako1,2, Benjamin Marty1,2, and Pierre G. Carlier1,2

1NMR Laboratory, Neuromuscular Investigation Center, Institute of Myology, Paris, France, 2NMR Laboratory, CEA, DRF, IBFJ, MIRCen, Paris, France

Fat fraction (FF), as calculated from water-fat (Dixon) NMR images, is a largely accepted, if not fully validated, muscle imaging biomarker, which has been proposed as an outcome measure in most neuromuscular disorders these last few years. The question remains, however, as to whether specific muscle or muscle groups should be taken into consideration for longitudinal evaluation in specific neuromuscular diseases. Here, we looked into a cohort of patients suffering from three different neuromuscular disorders: immune-mediated necrotizing myopathy, (sporadic) inclusion body myositis and GNE myopathy. The aim of this work was to compare whole-segment FF with individual muscle and muscle group FF values and identify the most efficient procedure to quantify disease progression, by comparing the standardized response means.

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