Amyloid biomarkers as predictors of conversion from mild cognitive impairment to Alzheimer's dementia: a comparison of methods.

ABSTRACT: BACKGROUND:Amyloid-? (A?) PET is an established predictor of conversion from mild cognitive impairment (MCI) to Alzheimer's dementia (AD). We compared three PET (including an approach based on voxel-wise Cox regression) and one cerebrospinal fluid (CSF) outcome measures in their predictive power. METHODS:Datasets were retrieved from the ADNI database. In a training dataset (N?=?159), voxel-wise Cox regression and principal component analyses were used to identify conversion-related regions (Cox-VOI and AD conversion-related pattern (ADCRP), respectively). In a test dataset (N?=?129), the predictive value of mean normalized 18F-florbetapir uptake (SUVR) in AD-typical brain regions (composite SUVR) or the Cox-VOI and the pattern expression score (PES) of ADCRP and CSF A?42/A?40 as predictors were compared by Cox models (corrected for age and sex). RESULTS:All four A? measures were significant predictors (p?

SUBMITTER: Sorensen A 

PROVIDER: S-EPMC7678323 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature