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- W3113140135 abstract "Abstract Background Detecting amyloid‐β plaque accumulation in individuals who are initially amyloid negative can help understand the earliest stages of Alzheimer’s disease (AD). This study aimed to determine sample sizes that would be needed to detect statistically significant longitudinal changes using semi‐ (standard uptake value ratios; SUVR) and quantitative (distribution volume ratios; DVR) PET measures at global and regional levels. Method [ 11 C]PIB scans of 239 cognitively normal (CN) subjects (mean age 63.4 ± 9.3 years) in the OASIS‐3 data‐set, who underwent at least two PET scans, were included. Regional SUVR and DVR were extracted using a cortical composite as target, and cerebellar gray matter as reference region (PUP, https://github.com/ysu001/PUP). PET positivity was defined by Gaussian Mixture Modelling of the global SUVR (SUVR>1.16). Annual accumulation rates were calculated using linear regression, and sample sizes to detect a significant longitudinal change (alpha = 0.05; 1‐beta = 0.80) were determined with the sampsizepwr function in Matlab. The percentage of accumulators (rates of change >2SD of negative group) was also computed. Result As expected, rates of change were higher in subjects with positive PET at baseline, and APOE‐ε4 carriership increased accumulation rates in both negative and positive groups (Table 1). Using either metric, orbitofrontal and precuneus displayed the highest rates of change in the negative group. SUVR rendered higher accumulation rates than DVR, but also displayed higher variability. As a consequence, to detect 0.22% early accumulation (mean of negative group), global DVR required N = 584 compared with N = 917 for global SUVR (Figure 1). In addition, DVR classified 13% of subjects as accumulators compared with 9% for SUVR. Finally, precuneus and orbitofrontal regions classify more subjects as accumulators than global SUVR, i.e. 17 and 25%, respectively. Conclusion As compared to SUVR, DVR can reduce the sample size needed to detect longitudinal amyloid changes by approximately 40% in amyloid negative populations. Additional improvements in statistical power can be achieved by focusing on precuneus and orbitofrontal regions." @default.
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- W3113140135 date "2020-12-01" @default.
- W3113140135 modified "2023-10-06" @default.
- W3113140135 title "Dynamic PET imaging reduces sample sizes to detect longitudinal amyloid accumulation" @default.
- W3113140135 doi "https://doi.org/10.1002/alz.042623" @default.
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