Neurology · 2021 · 19 citations · 13 references
MedicineNeurologyNuclear MedicineClinical NeuroscienceDiagnostic ImagingMolecular ImagingBiomarkers Of NeurodegenerationBrain ImagingFunctional NeuroimagingImaging BiomarkersMultiple System AtrophyPositron Emission TomographyBiomarkers Of Parkinsonian DisordersDisease DurationDopamine Receptor ImagingDopamine TransportersFluorodopa PetMultiple System Atrophy ImagingParkinsonian DegenerationPet Tracers
<h3>Objective</h3> To validate the role of the dopamine transporter (DAT) imaging as a biomarker in multiple system atrophy (MSA), we analyzed the association between spatial patterns of [<sup>18</sup>F]fluoro-propyl-carbomethoxy-iodophenyl-tropane ([<sup>18</sup>F]FP-CIT) PET and the clinical characteristics of MSA. <h3>Methods</h3> Sixty-five patients with MSA who underwent [<sup>18</sup>F]FP-CIT PET between 2009 and 2018 were retrospectively enrolled. To identify spatial patterns of [<sup>18</sup>F]FP-CIT PET, principal component (PC) analysis was used and correlated with the clinical presentation. <h3>Results</h3> Of the 65 patients, 42 presented with parkinsonian subtype of MSA, and 23 presented with cerebellar subtype of MSA (mean age 63.7 ± 9.3 years; disease duration, 1.8 ± 1.8 years). Each PC represents a specific pattern of degeneration: PC1 and PC2 were associated with the DAT binding of the entire putamen and the posterior putamen, respectively. PC3 was associated with increased [<sup>18</sup>F]FP-CIT uptake of the caudate and decreased uptake of the dorsal pons. PC2 was significantly correlated with the presence of parkinsonism (<i>p</i> = 5.34 × 10<sup>−5</sup>) and a positive levodopa response (<i>p</i> = 0.044), with age as a cofactor. PC3 was correlated with the presence of urinary incontinence (<i>p</i> = 0.036). Onset age was significantly correlated with both PC2 (<i>R</i> = 0.48, <i>p</i> = 5.0 × 10<sup>−5</sup>) and PC3 (<i>R</i> = −0.39, <i>p</i> = 0.0013). <h3>Conclusions</h3> The spatial pattern of DAT binding can reflect distinct clinical features of MSA and provides insight into the underlying pathophysiology of a broad spectrum of clinical features in MSA.
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Second consensus statement on the diagnosis of multiple system atrophy
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Should genetic testing for SCAs be included in the diagnostic workup for MSA?
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