Publication
Title
Diagnostic performance of regional cerebral blood flow images derived from dynamic PIB scans in Alzheimer's disease
Author
Abstract
BackgroundIn clinical practice, visual assessment of glucose metabolism images is often used for the diagnosis of Alzheimer's disease (AD) through 2-[F-18]-fluoro-2-deoxy-d-glucose (FDG) positron emission tomography (PET) scans. However, visual assessment of the characteristic AD hypometabolic pattern relies on the expertise of the reader. Therefore, user-independent pipelines are preferred to evaluate the images and to classify the subjects. Moreover, glucose consumption is highly correlated with cerebral perfusion. Regional cerebral blood flow (rCBF) images can be derived from dynamic C-11-labelled Pittsburgh Compound B PET scans, which are also used for the assessment of the deposition of amyloid-beta plaques on the brain, a fundamental characteristic of AD. The aim of this study was to explore whether these rCBF PIB images could be used for diagnostic purposes through the PMOD Alzheimer's Discrimination Tool.ResultsBoth tracer relative cerebral flow (R-1) and early PIB (ePIB) (20-130s) uptake presented a good correlation when compared to FDG standardized uptake value ratio (SUVR), while ePIB (1-8min) showed a worse correlation. All receiver operating characteristic curves exhibited a similar shape, with high area under the curve values, and no statistically significant differences were found between curves. However, R-1 and ePIB (1-8min) had the highest sensitivity, while FDG SUVR had the highest specificity.ConclusionrCBF images were suggested to be a good surrogate for FDG scans for diagnostic purposes considering an adjusted threshold value.
Language
English
Source (journal)
EJNMMI research. - Heidelberg, 2011, currens
Publication
Heidelberg : Springer Berlin , 2019
ISSN
2191-219X
DOI
10.1186/S13550-019-0528-3
Volume/pages
9 (2019) , 9 p.
Article Reference
59
ISI
000474584900002
Pubmed ID
31273465
Medium
E-only publicatie
Full text (Publisher's DOI)
Full text (open access)
UAntwerpen
Faculty/Department
Research group
Project info
HYBRID: Innovative Training Network towards raising and supporting the next generation of creative and entrepreneurial cross-speciality imaging experts
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identifier
Creation 01.08.2019
Last edited 14.01.2025
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