Grey zone amyloid burden affects memory function: the SCIENCe project
Autor: | Sander C.J. Verfaillie, B.N.M. van Berckel, Frederik Barkhof, K. van den Bosch, Maqsood Yaqub, W.M. van der Flier, M. van Leeuwenstijn, Niels D. Prins, Tessa Timmers, Albert D. Windhorst, Linda M.P. Wesselman, Hayel Tuncel, Sandeep Sv Golla, P. Scheltens, Jarith L. Ebenau |
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Přispěvatelé: | Neurology, Amsterdam Neuroscience - Neurodegeneration, Radiology and nuclear medicine, APH - Personalized Medicine, APH - Methodology |
Rok vydání: | 2020 |
Předmět: |
Male
medicine.medical_specialty Amyloid Amyloid beta Grey zone Concordance Standardized uptake value Audiology Cognition Region of interest Alzheimer Disease Medicine Humans Radiology Nuclear Medicine and imaging Cognitive Dysfunction Cognitive decline Aged Amyloid beta-Peptides Aniline Compounds biology business.industry General Medicine Middle Aged Quartile Positron-Emission Tomography biology.protein [18F] florbetapir Subjective cognitive decline Female Original Article business Kappa |
Zdroj: | European Journal of Nuclear Medicine and Molecular Imaging Ebenau, J L, Verfaillie, S C J, van den Bosch, K A, Timmers, T, Wesselman, L M P, van Leeuwenstijn, M, Tuncel, H, Golla, S V S, Yaqub, M M, Windhorst, A D, Prins, N D, Barkhof, F, Scheltens, P, van der Flier, W M & van Berckel, B N M 2020, ' Grey zone amyloid burden affects memory function : the SCIENCe project ', European Journal of Nuclear Medicine and Molecular Imaging . https://doi.org/10.1007/s00259-020-05012-5 European Journal of Nuclear Medicine and Molecular Imaging. Springer Verlag |
ISSN: | 1619-7089 1619-7070 |
Popis: | Purpose To determine thresholds for amyloid beta pathology and evaluate associations with longitudinal memory performance with the aim to identify a grey zone of early amyloid beta accumulation and investigate its clinical relevance. Methods We included 162 cognitively normal participants with subjective cognitive decline from the SCIENCe cohort (64 ± 8 years, 38% F, MMSE 29 ± 1). Each underwent a dynamic [18F] florbetapir PET scan, a T1-weighted MRI scan and longitudinal memory assessments (RAVLT delayed recall, n = 655 examinations). PET scans were visually assessed as amyloid positive/negative. Additionally, we calculated the mean binding potential (BPND) and standardized uptake value ratio (SUVr50–70) for an a priori defined composite region of interest. We determined six amyloid positivity thresholds using various data-driven methods (resulting thresholds: BPND 0.19/0.23/0.29; SUVr 1.28/1.34/1.43). We used Cohen’s kappa to analyse concordance between thresholds and visual assessment. Next, we used quantiles to divide the sample into two to five subgroups of equal numbers (median, tertiles, quartiles, quintiles), and operationalized a grey zone as the range between the thresholds (0.19–0.29 BPND/1.28–1.43 SUVr). We used linear mixed models to determine associations between thresholds and memory slope. Results As determined by visual assessment, 24% of 162 individuals were amyloid positive. Concordance with visual assessment was comparable but slightly higher for BPND thresholds (range kappa 0.65–0.70 versus 0.60–0.63). All thresholds predicted memory decline (range beta − 0.29 to − 0.21, all p p for trend Conclusion We provide evidence that not only high but also grey zone amyloid burden subtly impacts memory function. Therefore, in case a binary classification is required, we suggest using a relatively low threshold which includes grey zone amyloid pathology. |
Databáze: | OpenAIRE |
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