Article: The use of Centiloids for applying [
Alzheimer's & dementia (Amsterdam, Netherlands)
2018 Volume 10, Page(s) 332–339
Abstract: Introduction: Centiloid standardization was developed to establish a quantitative outcome measure of amyloid burden that could accommodate the integration of different amyloid positron emission tomography radiotracers or different methods of quantifying ...
| Abstract | Introduction: Centiloid standardization was developed to establish a quantitative outcome measure of amyloid burden that could accommodate the integration of different amyloid positron emission tomography radiotracers or different methods of quantifying the same tracer. The goal of this study was to examine the use of Centiloids for establishing amyloid classification cutoffs for differing region-of-interest (ROI) delineation schemes. Methods: Using ROIs from hand-drawn delineation in native space as the gold standard, we compared standard uptake value ratios obtained from the 6 hand-drawn ROIs that determine amyloid-positivity classification with standard uptake value ratio obtained from 3 different automated techniques (FreeSurfer, Statistical Parametric Mapping, and superimposed hand-drawn ROIs in Pittsburgh Compound B template space). We tested between-methods reliability using repeated measures models and intraclass correlation coefficients. Results: We found high reliability between the hand-drawn standard method and other methods for almost all the regions considered. However, small differences in standard uptake value ratio were found to lead to unreliable classifications when the hand-drawn native space-derived cutoffs were used across other ROI delineation methods. Discussion: The use of Centiloid standardization greatly improved the agreement of Pittsburgh Compound B classification across methods and may serve as an alternative method for applying cutoffs across methodologically different outcomes. |
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| Language | English |
| Publishing date | 2018-04-21 |
| Publishing country | United States |
| Document type | Journal Article |
| ZDB-ID | 2832898-X |
| ISSN | 2352-8729 |
| ISSN | 2352-8729 |
| DOI | 10.1016/j.dadm.2018.03.006 |
| Database | MEDical Literature Analysis and Retrieval System OnLINE |
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