Collij, Lyduine E;
Salvadó, Gemma;
De Wilde, Arno;
Altomare, Daniele;
Shekari, Mahnaz;
Gispert, Juan Domingo;
Bullich, Santiago;
... Van der Flier, Wiesje M; + view all
(2022)
Quantification of [¹⁸F]florbetaben amyloid-PET imaging in a mixed memory clinic population: The ABIDE project.
Alzheimer's & Dementia
10.1002/alz.12886.
(In press).
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Abstract
INTRODUCTION: We investigated amyloid-burden quantification in a mixed memory clinic population. METHODS: [18 F]Florbetaben amyloid-PET (positron emission tomography) scans of 348 patients were visually read and quantified using the Centiloid (CL) method. General linear models were used to assess CL differences across syndromic and etiological diagnosis. Linear mixed models were fitted to assess the predictive value of visual read (VR) and CL on longitudinal Mini-Mental Status Examination (MMSE). RESULTS: CL was associated with syndromic (F = 4.42, p = 0.014) and etiological diagnosis (F = -12.66, p < 0.001), with Alzheimer's disease (AD) patients showing the highest amyloid burden (62.9 ± 27.5), followed by dementia with Lewy bodies (DLB) (25.3 ± 35.5) and cardiovascular disease (CVD) (16.7 ± 24.5), and finally frontotemporal lobe degeneration (FTLD) (5.0 ± 17.22, t = -12.66, p < 0.001). CL remained predictive of etiological diagnosis (t = -2.41, p = 0.017) within the VR+ population (N = 157). VR was not a significant predictor of MMSE (t = -1.53, p = 0.13) for the SCD population (N = 90), whereas CL was (t = -3.30, p = 0.001). DISCUSSION: The extent of amyloid pathology through quantification holds clinical value, potentially in the context of differential diagnosis as well as prognosis.
Type: | Article |
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Title: | Quantification of [¹⁸F]florbetaben amyloid-PET imaging in a mixed memory clinic population: The ABIDE project |
Location: | United States |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1002/alz.12886 |
Publisher version: | https://doi.org/10.1002/alz.12886 |
Language: | English |
Additional information: | Copyright © 2022 The Authors. Alzheimer's & Dementia published by Wiley Periodicals LLC on behalf of Alzheimer's Association. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. |
Keywords: | Amyloid-PET, Centiloid quantification, Dementia, Diagnosis, Prognosis |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Brain Repair and Rehabilitation |
URI: | https://discovery.ucl.ac.uk/id/eprint/10161955 |
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