Selecting software pipelines for change in flortaucipir SUVR: Balancing repeatability and group separation.

ABSTRACT: Since tau PET tracers were introduced, investigators have quantified them using a wide variety of automated methods. As longitudinal cohort studies acquire second and third time points of serial within-person tau PET data, determining the best pipeline to measure change has become crucial. We compared a total of 415 different quantification methods (each a combination of multiple options) according to their effects on a) differences in annual SUVR change between clinical groups, and b) longitudinal measurement repeatability as measured by the error term from a linear mixed-effects model. Our comparisons used MRI and Flortaucipir scans of 97 Mayo Clinic study participants who clinically either: a) were cognitively unimpaired, or b) had cognitive impairments that were consistent with Alzheim

SUBMITTER: Schwarz CG 

PROVIDER: S-EPMC8407434 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature