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. 2021 Jan 12;13:22. doi: 10.1186/s13195-020-00767-3

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© The Author(s) 2021

Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Fig. 1 — Summarized flow chart of study population. Among 271 subjects with amyloid PET imaging, in the participants with amyloid PET imaging but without CSF (n = 143), we yielded SUVR cutoff values for amyloid PET positivity with best discrimination of AD from the CN group, and then, the SUVR cutoffs were used to determine the cutoff values for CSF biomarkers following Youden’s index to differentiate participants with amyloid PET positivity (n = 128). Finally, we evaluated the predictive performances of CSF AD biomarkers in 139 subjects who provided CSF samples, using the amyloid PET-based cutoff values of CSF AD biomarkers