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Predicting diagnosis and cognition with 18F-AV-1451 tau PET and structural MRI in Alzheimer's disease

Mattsson, Niklas LU ; Insel, Philip S. LU ; Donohue, Michael; Jögi, Jonas LU ; Ossenkoppele, Rik LU ; Olsson, Tomas LU ; Schöll, Michael LU ; Smith, Ruben LU and Hansson, Oskar LU (2019) In Alzheimer's and Dementia
Abstract

Introduction: 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 18F-AV-1451 (tau) PET and structural MRI data (regional cortical thickness and subcortical volumes). Results: 18F-AV-1451 in the amygdala, entorhinal cortex, parahippocampal gyrus, fusiform, and inferior parietal lobule had 93% diagnostic accuracy for AD (prodromal or... (More)

Introduction: 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 18F-AV-1451 (tau) PET and structural MRI data (regional cortical thickness and subcortical volumes). Results: 18F-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. 18F-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.

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author
organization
publishing date
type
Contribution to journal
publication status
epub
subject
keywords
Alzheimer, Atrophy, MRI, PET, Tau
in
Alzheimer's and Dementia
publisher
Elsevier
external identifiers
  • scopus:85060353598
ISSN
1552-5260
DOI
10.1016/j.jalz.2018.12.001
language
English
LU publication?
yes
id
0a903e3b-f67d-4e7d-ac31-abd880940237
date added to LUP
2019-02-01 10:01:12
date last changed
2019-02-27 05:11:44
@article{0a903e3b-f67d-4e7d-ac31-abd880940237,
  abstract     = {<p>Introduction: 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 <sup>18</sup>F-AV-1451 (tau) PET and structural MRI data (regional cortical thickness and subcortical volumes). Results: <sup>18</sup>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. <sup>18</sup>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.</p>},
  author       = {Mattsson, Niklas and Insel, Philip S. and Donohue, Michael and Jögi, Jonas and Ossenkoppele, Rik and Olsson, Tomas and Schöll, Michael and Smith, Ruben and Hansson, Oskar},
  issn         = {1552-5260},
  keyword      = {Alzheimer,Atrophy,MRI,PET,Tau},
  language     = {eng},
  month        = {01},
  publisher    = {Elsevier},
  series       = {Alzheimer's and Dementia},
  title        = {Predicting diagnosis and cognition with <sup>18</sup>F-AV-1451 tau PET and structural MRI in Alzheimer's disease},
  url          = {http://dx.doi.org/10.1016/j.jalz.2018.12.001},
  year         = {2019},
}