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000138845 0247_ $$2doi$$a10.1002/mds.26715
000138845 0247_ $$2pmid$$apmid:27452874
000138845 0247_ $$2ISSN$$a0885-3185
000138845 0247_ $$2ISSN$$a1531-8257
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000138845 037__ $$aDZNE-2020-05167
000138845 041__ $$aEnglish
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000138845 1001_ $$aHuppertz, Hans-Jürgen$$b0
000138845 245__ $$aDifferentiation of neurodegenerative parkinsonian syndromes by volumetric magnetic resonance imaging analysis and support vector machine classification.
000138845 260__ $$aNew York, NY$$bWiley$$c2016
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000138845 520__ $$aClinical differentiation of parkinsonian syndromes is still challenging.A fully automated method for quantitative MRI analysis using atlas-based volumetry combined with support vector machine classification was evaluated for differentiation of parkinsonian syndromes in a multicenter study.Atlas-based volumetry was performed on MRI data of healthy controls (n = 73) and patients with PD (204), PSP with Richardson's syndrome phenotype (106), MSA of the cerebellar type (21), and MSA of the Parkinsonian type (60), acquired on different scanners. Volumetric results were used as input for support vector machine classification of single subjects with leave-one-out cross-validation.The largest atrophy compared to controls was found for PSP with Richardson's syndrome phenotype patients in midbrain (-15%), midsagittal midbrain tegmentum plane (-20%), and superior cerebellar peduncles (-13%), for MSA of the cerebellar type in pons (-33%), cerebellum (-23%), and middle cerebellar peduncles (-36%), and for MSA of the parkinsonian type in the putamen (-23%). The majority of binary support vector machine classifications between the groups resulted in balanced accuracies of >80%. With MSA of the cerebellar and parkinsonian type combined in one group, support vector machine classification of PD, PSP and MSA achieved sensitivities of 79% to 87% and specificities of 87% to 96%. Extraction of weighting factors confirmed that midbrain, basal ganglia, and cerebellar peduncles had the largest relevance for classification.Brain volumetry combined with support vector machine classification allowed for reliable automated differentiation of parkinsonian syndromes on single-patient level even for MRI acquired on different scanners. © 2016 International Parkinson and Movement Disorder Society.
000138845 536__ $$0G:(DE-HGF)POF3-344$$a344 - Clinical and Health Care Research (POF3-344)$$cPOF3-344$$fPOF III$$x0
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000138845 650_2 $$2MeSH$$aBrain: diagnostic imaging
000138845 650_2 $$2MeSH$$aCerebellar Diseases: diagnostic imaging
000138845 650_2 $$2MeSH$$aHumans
000138845 650_2 $$2MeSH$$aMagnetic Resonance Imaging: methods
000138845 650_2 $$2MeSH$$aMultiple System Atrophy: diagnostic imaging
000138845 650_2 $$2MeSH$$aParkinsonian Disorders: classification
000138845 650_2 $$2MeSH$$aParkinsonian Disorders: diagnostic imaging
000138845 650_2 $$2MeSH$$aSupport Vector Machine
000138845 650_2 $$2MeSH$$aSupranuclear Palsy, Progressive: diagnostic imaging
000138845 7001_ $$aMöller, Leona$$b1
000138845 7001_ $$aSüdmeyer, Martin$$b2
000138845 7001_ $$aHilker, Rüdiger$$b3
000138845 7001_ $$aHattingen, Elke$$b4
000138845 7001_ $$aEgger, Karl$$b5
000138845 7001_ $$aAmtage, Florian$$b6
000138845 7001_ $$0P:(DE-2719)2811600$$aRespondek, Gesine$$b7$$udzne
000138845 7001_ $$aStamelou, Maria$$b8
000138845 7001_ $$aSchnitzler, Alfons$$b9
000138845 7001_ $$aPinkhardt, Elmar H$$b10
000138845 7001_ $$0P:(DE-HGF)0$$aOertel, Wolfgang H$$b11
000138845 7001_ $$aKnake, Susanne$$b12
000138845 7001_ $$0P:(DE-HGF)0$$aKassubek, Jan$$b13$$eCorresponding author
000138845 7001_ $$0P:(DE-2719)2811373$$aHöglinger, Günter U$$b14$$eLast author$$udzne
000138845 77318 $$2Crossref$$3journal-article$$a10.1002/mds.26715$$b : Wiley, 2016-10-01$$n10$$p1506-1517$$tMovement Disorders$$v31$$x0885-3185$$y2016
000138845 773__ $$0PERI:(DE-600)2041249-6$$a10.1002/mds.26715$$gVol. 31, no. 10, p. 1506 - 1517$$n10$$p1506-1517$$q31:10<1506 - 1517$$tMovement disorders$$v31$$x0885-3185$$y2016
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