Diagnostic potential of automated subcortical volume segmentation in atypical parkinsonism.
Objective: To determine whether automated and observer-independent volumetric MRI analysis is able to discriminate among patients with Parkinson disease (PD), multiple system atrophy (MSA), and progressive supranuclear palsy (PSP) in early to moderately advanced stages of disease.Methods: T1-weighte...
| Publicado en: | Neurology Vol. 86; no. 13; pp. 1242 - 1250 |
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| Autores principales: | , , , , , , , |
| Formato: | diagnostic images research tables/charts Journal Article |
| Publicado: |
Lippincott Williams & Wilkins
3/29/2016
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=114121798&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 114121798 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00283878 NRO jtl: Neurology issn: 00283878 maglogo: N pubinfo: dt: 3/29/2016 vid: 86 iid: 13 pid: 433 pub: Lippincott Williams & Wilkins place: Baltimore, Maryland artinfo: ui: 114121798 114121798 NLM26935895 114121798 10.1212/WNL.0000000000002518 NLM26935895 114121798 ppf: 1242 ppct: 8 formats: tig: atl: Diagnostic potential of automated subcortical volume segmentation in atypical parkinsonism. aug: au: Scherfler, Christoph Göbel, Georg Müller, Christoph Nocker, Michael Wenning, Gregor K. Schocke, Michael Poewe, Werner Seppi, Klaus affil: Department of Neurology, Medical University of Innsbruck, Austria sug: subj: Brain Stem Pathology Basal Ganglia Pathology Cerebellum Pathology Parkinsonian Disorders Diagnosis Neurodegenerative Diseases Aged Body Weights and Measures Supranuclear Palsy, Progressive Diagnosis Middle Age Male Female Magnetic Resonance Imaging Methods Human Aged: 65+ years Middle Aged: 45-64 years Male Female ab: Objective: To determine whether automated and observer-independent volumetric MRI analysis is able to discriminate among patients with Parkinson disease (PD), multiple system atrophy (MSA), and progressive supranuclear palsy (PSP) in early to moderately advanced stages of disease.Methods: T1-weighted volumetric MRI from patients with clinically probable PD (n = 40), MSA (n = 40), and PSP (n = 30) and a mean disease duration of 2.8 ± 1.7 y were examined using automated volume measures of 22 subcortical regions. The clinical follow-up period was 2.5 ± 1.2 years. The data were split into a training (n = 72) and a test set (n = 38). The training set was used to build a C4.5 decision tree model in order to classify patients as MSA, PSP, or PD. The classification algorithm was examined by the test set using the final clinical diagnosis at last follow-up as diagnostic gold standard.Results: The midbrain and putaminal volume as well as the cerebellar gray matter compartment were identified as the most significant brain regions to construct a prediction model. The diagnostic accuracy for PD vs MSA or PSP was 97.4%. In contrast, diagnostic accuracy based on validated clinical consensus criteria at the time of MRI acquisition was 62.9%.Conclusions: Volume segmentation of subcortical brain areas differentiates PD from MSA and PSP and improves diagnostic accuracy in patients presenting with early to moderately advanced stage parkinsonism.Classification Of Evidence: This study provides Class III evidence that automated MRI analysis accurately discriminates among early-stage PD, MSA, and PSP. pubtype: Academic Journal doctype: diagnostic images research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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