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000912540 1001_ $$0P:(DE-HGF)0$$aSprenger-Svačina, Alina$$b0
000912540 245__ $$aMRI correlates of motoneuron loss in SMA
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000912540 520__ $$aBackgroundMagnetic resonance imaging (MRI) is currently explored as supplemental tool to monitor disease progression and treatment response in various neuromuscular disorders. We here assessed the utility of a multi-parametric magnetic resonance imaging (MRI) protocol including quantitative water T2 mapping, Dixon-based proton density fat fraction (PDFF) estimation and diffusion tensor imaging (DTI) to detect loss of spinal motor neurons and subsequent muscle damage in adult SMA patients.MethodsSixteen SMA patients and 13 age-matched controls were enrolled in this prospective, longitudinal study. All participants underwent MRI imaging including measurements of Dixon-based PDFF and DTI of the sciatic nerve. SMA patients furthermore underwent measurements of muscle water T2 (T2w) of the biceps femoris muscle (BFM) and quadriceps femoris muscle (QFM). Ten participants returned for a second scan six months later. MRI parameter were correlated with clinical data. All patients were on nusinersen treatment.ResultsThere were significantly higher intramuscular fat fractions in the BFM and QFM of SMA patients compared to healthy controls at baseline and after 6 months. Furthermore, T2 values significantly correlated positively with intramuscular fat fractions. The Hammersmith functional motor scale significantly correlated with the QFM’s intramuscular fat fractions. DTI scans of the sciatic nerve were not significantly different between the two groups.ConclusionThis study demonstrates that, water T2 mapping and Dixon-based PDFF estimation may distinguish between adult SMA patients and controls, due to massive intramuscular fat accumulation in SMA. More extensive long-term studies are warranted to further evaluate these two modalities as surrogate markers in SMA patients during treatment.
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000912540 7001_ $$0P:(DE-HGF)0$$aHaensch, Johannes$$b1
000912540 7001_ $$0P:(DE-HGF)0$$aWeiss, Kilian$$b2
000912540 7001_ $$0P:(DE-HGF)0$$aGroße Hokamp, Nils$$b3
000912540 7001_ $$0P:(DE-HGF)0$$aMaintz, David$$b4
000912540 7001_ $$0P:(DE-HGF)0$$aSchlamann, Marc$$b5
000912540 7001_ $$0P:(DE-Juel1)131720$$aFink, Gereon R.$$b6$$ufzj
000912540 7001_ $$0P:(DE-HGF)0$$aSchloss, Natalie$$b7
000912540 7001_ $$0P:(DE-HGF)0$$aLaukamp, Kai$$b8
000912540 7001_ $$0P:(DE-HGF)0$$aWunderlich, Gilbert$$b9
000912540 7001_ $$00000-0001-6205-2293$$aLehmann, Helmar C.$$b10$$eCorresponding author
000912540 7001_ $$0P:(DE-HGF)0$$aLichtenstein, Thorsten$$b11
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000912540 773__ $$0PERI:(DE-600)1421299-7$$a10.1007/s00415-022-11326-1$$n1$$p503-510$$tJournal of neurology$$v270$$x0367-004x$$y2023
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