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Multivariate spatial covariance analysis of 99mTc-exametazime SPECT images in dementia with Lewy bodies and Alzheimer’s disease: utility in differential diagnosis

Lookup NU author(s): Dr Sean Colloby, Dr John-Paul Taylor, Dr Christopher Davison, Dr James Lloyd, Dr Michael Firbank, Professor Ian McKeith, Professor John O'Brien

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Abstract

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.


Publication metadata

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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