| Autor: |
Isadora Lopes Alves, Fiona Heeman, Lyduine E. Collij, Gemma Salvadó, Nelleke Tolboom, Natàlia Vilor-Tejedor, Pawel Markiewicz, Maqsood Yaqub, David Cash, Elizabeth C. Mormino, Philip S. Insel, Ronald Boellaard, Bart N. M. van Berckel, Adriaan A. Lammertsma, Frederik Barkhof, Juan Domingo Gispert |
| Jazyk: |
angličtina |
| Rok vydání: |
2021 |
| Předmět: |
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| Zdroj: |
Alzheimer’s Research & Therapy, Vol 13, Iss 1, Pp 1-13 (2021) |
| Druh dokumentu: |
article |
| ISSN: |
1758-9193 |
| DOI: |
10.1186/s13195-021-00819-2 |
| Popis: |
Abstract Background Detecting subtle-to-moderate biomarker changes such as those in amyloid PET imaging becomes increasingly relevant in the context of primary and secondary prevention of Alzheimer’s disease (AD). This work aimed to determine if and when distribution volume ratio (DVR; derived from dynamic imaging) and regional quantitative values could improve statistical power in AD prevention trials. Methods Baseline and annualized % change in [11C]PIB SUVR and DVR were computed for a global (cortical) and regional (early) composite from scans of 237 cognitively unimpaired subjects from the OASIS-3 database ( www.oasis-brains.org ). Bland-Altman and correlation analyses were used to assess the relationship between SUVR and DVR. General linear models and linear mixed effects models were used to determine effects of age, sex, and APOE-ε4 carriership on baseline and longitudinal amyloid burden. Finally, differences in statistical power of SUVR and DVR (cortical or early composite) were assessed considering three anti-amyloid trial scenarios: secondary prevention trials including subjects with (1) intermediate-to-high (Centiloid > 20.1), or (2) intermediate (20.1 |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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