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Spatial covariance analysis of FDG-PET and HMPAO-SPECT for the differential diagnosis of dementia with Lewy bodies and Alzheimer's disease

Lookup NU author(s): Dr Matt Ingram, Dr Sean Colloby, Dr Michael FirbankORCiD, Dr James LloydORCiD, Professor John O'Brien, Professor John-Paul TaylorORCiD


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© 2022We investigated diagnostic characteristics of spatial covariance analysis (SCA) of FDG-PET and HMPAO-SPECT scans in the differential diagnosis of dementia with Lewy bodies (DLB) and Alzheimer's disease (AD), in comparison with visual ratings and region of interest (ROI) analysis. Sixty-seven patients (DLB 29, AD 38) had both HMPAO-SPECT and FDG-PET scans. Spatial covariance patterns were used to separate AD and DLB in an initial derivation group (DLB n=15, AD n=19), before being forward applied to an independent group (DLB n=14, AD n=19). Visual ratings were by consensus, with ROI analysis utilising medial occipital/medial temporal uptake ratios. SCA of HMPAO-SPECT performed poorly (AUC 0.59±0.10), whilst SCA of FDG-PET (AUC 0.83±0.07) was significantly better. For FDG-PET, SCA showed similar diagnostic performance to ROI analysis (AUC 0.84±0.08) and visual rating (AUC 0.82±0.08). In contrast to ROI analysis, there was little concordance between SCA and visual ratings of FDG-PET scans. We conclude that SCA of FDG-PET outperforms that of HMPAO-SPECT. SCA of FDG-PET also performed similarly to the other analytical approaches, despite the limitations of a relatively small SCA derivation group. Compared to visual rating, SCA of FDG-PET relies on different sources of group variance to separate DLB from AD.

Publication metadata

Author(s): Ingram M, Colloby SJ, Firbank MJ, Lloyd JJ, O'Brien JT, Taylor J-P

Publication type: Article

Publication status: Published

Journal: Psychiatry Research - Neuroimaging

Year: 2022

Volume: 322

Print publication date: 01/06/2022

Online publication date: 15/02/2022

Acceptance date: 13/02/2022

ISSN (print): 0925-4927

ISSN (electronic): 1872-7506

Publisher: Elsevier Ireland Ltd


DOI: 10.1016/j.pscychresns.2022.111460


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