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Predicting diagnosis and cognition with 18 F‐AV‐1451 tau PET and structural MRI in Alzheimer's disease
Author(s) -
Mattsson Niklas,
Insel Philip S.,
Donohue Michael,
Jögi Jonas,
Ossenkoppele Rik,
Olsson Tomas,
Schöll Michael,
Smith Ruben,
Hansson Oskar
Publication year - 2019
Publication title -
alzheimer's and dementia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.713
H-Index - 118
eISSN - 1552-5279
pISSN - 1552-5260
DOI - 10.1016/j.jalz.2018.12.001
Subject(s) - entorhinal cortex , parahippocampal gyrus , magnetic resonance imaging , dementia , positron emission tomography , alzheimer's disease , superior parietal lobule , neuroscience , neuroimaging , medicine , cognition , psychology , nuclear medicine , hippocampus , temporal lobe , pathology , disease , radiology , epilepsy
The relative importance of structural magnetic resonance imaging (MRI) and tau positron emission tomography (PET) to predict diagnosis and cognition in Alzheimer's disease (AD) is unclear. Methods We tested 56 cognitively unimpaired controls (including 27 preclinical AD), 32 patients with prodromal AD, and 39 patients with AD dementia. Optimal classifiers were constructed using the least absolute shrinkage and selection operator with 18 F‐AV‐1451 (tau) PET and structural MRI data (regional cortical thickness and subcortical volumes). Results 18 F‐AV‐1451 in the amygdala, entorhinal cortex, parahippocampal gyrus, fusiform, and inferior parietal lobule had 93% diagnostic accuracy for AD (prodromal or dementia). The MRI classifier involved partly the same regions plus the hippocampus, with 83% accuracy, but did not improve upon the tau classifier. 18 F‐AV‐1451 retention and MRI were independently associated with cognition. Discussion Optimized tau PET classifiers may diagnose AD with high accuracy, but both tau PET and structural brain MRI capture partly unique information relevant for the clinical deterioration in AD.