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Lookup NU author(s): Dr Sean Colloby, Professor John-Paul TaylorORCiD, Dr Christopher Davison, Dr James LloydORCiD, Dr Michael FirbankORCiD, Professor Ian McKeith, Professor John O'Brien
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We examined 99mTc-exametazime brain blood flow single-photon emission computed tomography (SPECT) images using a spatial covariance analysis (SCA) approach to assess its diagnostic value in distinguishing dementia with Lewy bodies (DLB) from Alzheimer’s disease (AD). Voxel SCA was simultaneously applied to a set of preprocessed images (AD, n=40; DLB, n=26), generating a series of eigenimages representing common intercorrelated voxels in AD and DLB. Linear regression derived a spatial covariance pattern (SCP) that discriminated DLB from AD. To investigate the diagnostic value of the model SCP, the SCP was validated by applying it to a second, independent, AD and DLB cohort (AD, n=34; DLB, n=29). Mean SCP expressions differed between AD and DLB (F1,64=36.2, P<0.001) with good diagnostic accuracy (receiver operating characteristic (ROC) curve area 0.87, sensitivity 81%, specificity 88%). Forward application of the model SCP to the independent cohort revealed similar differences between groups (F1,61=38.4, P<0.001), also with good diagnostic accuracy (ROC 0.86, sensitivity 80%, specificity 80%). Multivariate analysis of blood flow SPECT data appears to be robust and shows good diagnostic accuracy in two independent cohorts for distinguishing DLB from AD.
Author(s): Colloby SJ, Taylor J-P, Davison CM, Lloyd JJ, Firbank MJ, McKeith IG, O'Brien JT
Publication type: Article
Publication status: Published
Journal: Journal of Cerebral Blood Flow & Metabolism
Year: 2013
Volume: 33
Issue: 4
Pages: 612-618
Print publication date: 30/01/2013
ISSN (print): 0271-678X
ISSN (electronic): 1559-7016
Publisher: International Society for Cerebral Blood Flow & Metabolism
URL: http://dx.doi.org/10.1038/jcbfm.2013.2
DOI: 10.1038/jcbfm.2013.2
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