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000136392 0247_ $$2ISSN$$a0925-4927
000136392 0247_ $$2ISSN$$a1872-7123
000136392 0247_ $$2ISSN$$a1872-7506
000136392 037__ $$aDZNE-2020-02714
000136392 041__ $$aEnglish
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000136392 1001_ $$0P:(DE-2719)2000026$$aTeipel, Stefan J$$b0$$eFirst author
000136392 245__ $$aMulticenter stability of diffusion tensor imaging measures: a European clinical and physical phantom study.
000136392 260__ $$aAmsterdam [u.a.]$$bElsevier Science$$c2011
000136392 264_1 $$2Crossref$$3print$$bElsevier BV$$c2011-12-01
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000136392 520__ $$aDiffusion tensor imaging (DTI) detects white matter damage in neuro-psychiatric disorders, but data on reliability of DTI measures across more than two scanners are still missing. In this study we assessed multicenter reproducibility of DTI acquisitions based on a physical phantom as well as brain scans across 16 scanners. In addition, we performed DTI scans in a group of 26 patients with clinically probable Alzheimer's disease (AD) and 12 healthy elderly controls at one single center. We determined the variability of fractional anisotropy (FA) measures using manually placed regions of interest as well as automated tract based spatial statistics and deformation based analysis. The coefficient of variation (CV) of FA was 6.9% for the physical phantom data. The mean CV across the multicenter brain scans was 14% for tract based statistics, and 29% for deformation based analysis. The degree of variation was higher in less organized fiber tracts. Our findings suggest that a clinical and physical phantom study involving more than two scanners is indispensable to detect potential sources of bias and to reliably estimate effect size in multicenter diagnostic trials using DTI.
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000136392 650_2 $$2MeSH$$aAged
000136392 650_2 $$2MeSH$$aAged, 80 and over
000136392 650_2 $$2MeSH$$aAlzheimer Disease: diagnosis
000136392 650_2 $$2MeSH$$aAnisotropy
000136392 650_2 $$2MeSH$$aBias
000136392 650_2 $$2MeSH$$aBrain: pathology
000136392 650_2 $$2MeSH$$aBrain Mapping
000136392 650_2 $$2MeSH$$aDiffusion Tensor Imaging: methods
000136392 650_2 $$2MeSH$$aEurope
000136392 650_2 $$2MeSH$$aFemale
000136392 650_2 $$2MeSH$$aHumans
000136392 650_2 $$2MeSH$$aMiddle Aged
000136392 650_2 $$2MeSH$$aNerve Fibers, Myelinated: pathology
000136392 650_2 $$2MeSH$$aPhantoms, Imaging
000136392 650_2 $$2MeSH$$aYoung Adult
000136392 7001_ $$0P:(DE-2719)9000394$$aReuter, Sigrid$$b1
000136392 7001_ $$0P:(DE-HGF)0$$aStieltjes, Bram$$b2
000136392 7001_ $$0P:(DE-HGF)0$$aAcosta-Cabronero, Julio$$b3
000136392 7001_ $$0P:(DE-HGF)0$$aErnemann, Ulrike$$b4
000136392 7001_ $$0P:(DE-HGF)0$$aFellgiebel, Andreas$$b5
000136392 7001_ $$0P:(DE-HGF)0$$aFilippi, Massimo$$b6
000136392 7001_ $$0P:(DE-HGF)0$$aFrisoni, Giovanni$$b7
000136392 7001_ $$0P:(DE-HGF)0$$aHentschel, Frank$$b8
000136392 7001_ $$0P:(DE-HGF)0$$aJessen, Frank$$b9
000136392 7001_ $$0P:(DE-HGF)0$$aKlöppel, Stefan$$b10
000136392 7001_ $$0P:(DE-HGF)0$$aMeindl, Thomas$$b11
000136392 7001_ $$0P:(DE-HGF)0$$aPouwels, Petra J W$$b12
000136392 7001_ $$0P:(DE-HGF)0$$aHauenstein, Karl-Heinz$$b13
000136392 7001_ $$0P:(DE-HGF)0$$aHampel, Harald$$b14
000136392 77318 $$2Crossref$$3journal-article$$a10.1016/j.pscychresns.2011.05.012$$b : Elsevier BV, 2011-12-01$$n3$$p363-371$$tPsychiatry Research: Neuroimaging$$v194$$x0925-4927$$y2011
000136392 773__ $$0PERI:(DE-600)1500675-X$$a10.1016/j.pscychresns.2011.05.012$$gVol. 194, no. 3, p. 363 - 371$$n3$$p363-371$$q194:3<363 - 371$$tPsychiatry research$$v194$$x0925-4927$$y2011
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