Diffusion Tensor Imaging of Parkinson’s Disease, Atypical Parkinsonism and Essential Tremor
Identifieur interne : 000A27 ( Main/Merge ); précédent : 000A26; suivant : 000A28Diffusion Tensor Imaging of Parkinson’s Disease, Atypical Parkinsonism and Essential Tremor
Auteurs : Janey Prodoehl [États-Unis] ; Hong Li [États-Unis] ; Peggy J. Planetta [États-Unis] ; Christopher G. Goetz [États-Unis] ; Kathleen M. Shannon [États-Unis] ; Ruth Tangonan [États-Unis] ; Cynthia L. Comella [États-Unis] ; Tanya Simuni [États-Unis] ; Xiaohong Joe Zhou [États-Unis] ; Sue Leurgans [États-Unis] ; Daniel M. Corcos [États-Unis] ; David E. Vaillancourt [États-Unis]Source :
- Movement disorders : official journal of the Movement Disorder Society [ 0885-3185 ] ; 2013.
English descriptors
- KwdEn :
- Aged, Analysis of Variance, Anisotropy, Basal Ganglia (pathology), Cerebellum (pathology), Diffusion Tensor Imaging, Essential Tremor (diagnosis), Female, Humans, Male, Middle Aged, Multiple System Atrophy (diagnosis), Parkinson Disease (diagnosis), ROC Curve, Supranuclear Palsy, Progressive (diagnosis).
- MESH :
- diagnosis : Essential Tremor, Multiple System Atrophy, Parkinson Disease, Supranuclear Palsy, Progressive.
- pathology : Basal Ganglia, Cerebellum.
- Aged, Analysis of Variance, Anisotropy, Diffusion Tensor Imaging, Female, Humans, Male, Middle Aged, ROC Curve.
Abstract
Diffusion tensor imaging could be useful in characterizing movement disorders because it non-invasively examines multiple brain regions simultaneously. We report a multi-target imaging approach focused on the basal ganglia and cerebellum in Parkinson’s disease, parkinsonian variant of multiple system atrophy, progressive supranuclear palsy, essential tremor, and healthy controls. Seventy-two subjects were studied with a diffusion tensor imaging protocol at 3 Tesla. Receiver operating characteristics analysis was performed to directly compare groups. Sensitivity and specificity values were quantified for control vs. movement disorder (92% sensitivity, 88% specificity), control vs. parkinsonism (93% sensitivity, 91% specificity), Parkinson’s disease vs. atypical parkinsonism (90% sensitivity, 100% specificity), Parkinson’s disease vs. multiple system atrophy (94% sensitivity, 100% specificity), Parkinson’s disease vs. progressive supranuclear palsy (87% sensitivity, 100% specificity), multiple system atrophy vs. progressive supranuclear palsy (90% sensitivity, 100% specificity), and Parkinson’s disease vs. essential tremor (92% sensitivity, 87% specificity). The brain targets varied for each comparison, but the substantia nigra, putamen, caudate, and middle cerebellar peduncle were the most frequently selected brain regions across classifications. These results indicate that using diffusion tensor imaging of the basal ganglia and cerebellum accurately classifies subjects diagnosed with Parkinson’s disease, atypical parkinsonism, and essential tremor and clearly distinguishes them from control subjects.
Url:
DOI: 10.1002/mds.25491
PubMed: 23674400
PubMed Central: 3748146
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<author><name sortKey="Simuni, Tanya" sort="Simuni, Tanya" uniqKey="Simuni T" first="Tanya" last="Simuni">Tanya Simuni</name>
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<term>Cerebellum (pathology)</term>
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<term>Essential Tremor (diagnosis)</term>
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<term>Humans</term>
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<term>Analysis of Variance</term>
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<front><div type="abstract" xml:lang="en"><title>Summary</title>
<p id="P2">Diffusion tensor imaging could be useful in characterizing movement disorders because it non-invasively examines multiple brain regions simultaneously. We report a multi-target imaging approach focused on the basal ganglia and cerebellum in Parkinson’s disease, parkinsonian variant of multiple system atrophy, progressive supranuclear palsy, essential tremor, and healthy controls. Seventy-two subjects were studied with a diffusion tensor imaging protocol at 3 Tesla. Receiver operating characteristics analysis was performed to directly compare groups. Sensitivity and specificity values were quantified for control vs. movement disorder (92% sensitivity, 88% specificity), control vs. parkinsonism (93% sensitivity, 91% specificity), Parkinson’s disease vs. atypical parkinsonism (90% sensitivity, 100% specificity), Parkinson’s disease vs. multiple system atrophy (94% sensitivity, 100% specificity), Parkinson’s disease vs. progressive supranuclear palsy (87% sensitivity, 100% specificity), multiple system atrophy vs. progressive supranuclear palsy (90% sensitivity, 100% specificity), and Parkinson’s disease vs. essential tremor (92% sensitivity, 87% specificity). The brain targets varied for each comparison, but the substantia nigra, putamen, caudate, and middle cerebellar peduncle were the most frequently selected brain regions across classifications. These results indicate that using diffusion tensor imaging of the basal ganglia and cerebellum accurately classifies subjects diagnosed with Parkinson’s disease, atypical parkinsonism, and essential tremor and clearly distinguishes them from control subjects.</p>
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