文章基本信息

标题：Considerations for Performing Level-2 Centiloid Transformations for Amyloid PET SUVR values
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作者：Christopher G. Schwarz ; Nirubol Tosakulwong ; Matthew L. Senjem 等
期刊名称：Scientific Reports
电子版ISSN：2045-2322
出版年度：2018
卷号：8
期号：1
页码：7421
DOI：10.1038/s41598-018-25459-9
语种：English
出版社：Springer Nature
摘要：The Centiloid Project describes a post-hoc data transformation to standardize amyloid PET measurements to enable direct data comparisons across sites and studies using differing acquisition/analysis methods. It uses linear regression that transforms values using different measurement scales to match those from a standard Centiloid unit scale. Our group's measurement method differs from the Centiloid's standard method in both acquisition and analysis methods. In this work we examine multiple variations for performing these transformations and compare several approaches. We hypothesized that using Deming regression, which accounts for error on both axes, would produce a more optimal transformation than the recommended standard linear regression. We also examined the effects of performing separate regressions for differences in acquisition and analysis methods, rather than a direct single-regression approach. Our results found that all transformation approaches had very similar performance and were within the recommended tolerance thresholds.