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Published in: Journal of Neurology 4/2013

01-04-2013 | Original Communication

Quantitative MRI and loss of free ambulation in Duchenne muscular dystrophy

Authors: Arne Fischmann, Patricia Hafner, Monika Gloor, Maurice Schmid, Andrea Klein, Urs Pohlman, Tanja Waltz, Rocio Gonzalez, Tanja Haas, Oliver Bieri, Dirk Fischer

Published in: Journal of Neurology | Issue 4/2013

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Abstract

The purpose of this ethics approved trial was to correlate quantitative MRI with functional abilities in both ambulant and non-ambulant Duchenne muscular dystrophy (DMD). Twenty patients with genetically confirmed DMD were recruited. Physical assessment was performed using the motor function measurement (MFM) scale. Axial 3T MRI scans of the thighs were acquired using T1-weighted in- and opposed-phase images (TR = 20 ms, TE1 = 2.45 ms, TE2 = 3.68 ms, flip angle = 15°) to calculate the relative fat fraction according to the two-point Dixon method in the knee extensors, flexors, and adductor muscles. The average MFM was 65.3 % and correlated negatively to age (r 2 = 0.60). Overall mean fat fraction correlated positively to age (r 2 = 0.51–0.64). An average of 5 % increase in mean fat fraction per year was calculated. Mean fat fraction of the quadriceps showed a high negative correlation (r 2 = 0.93) to the D1 (standing position and transfers) component of the MFM. A cutoff for mean fat fraction of 50 % predicted loss of ambulation with a sensitivity of 100 % and a specificity of 91 %. Therefore, quantitative muscle MRI seems to be a promising endpoint for short clinical trials evaluating the effect of newer treatments on the time of loss of ambulation in DMD.
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Metadata
Title
Quantitative MRI and loss of free ambulation in Duchenne muscular dystrophy
Authors
Arne Fischmann
Patricia Hafner
Monika Gloor
Maurice Schmid
Andrea Klein
Urs Pohlman
Tanja Waltz
Rocio Gonzalez
Tanja Haas
Oliver Bieri
Dirk Fischer
Publication date
01-04-2013
Publisher
Springer-Verlag
Published in
Journal of Neurology / Issue 4/2013
Print ISSN: 0340-5354
Electronic ISSN: 1432-1459
DOI
https://doi.org/10.1007/s00415-012-6733-x

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