Cited by 92Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatmentsMedical Imaging Techniques and Applications

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

Open access
Mattsson, Niklas, Insel, Philip S., Donohue, Michael, Jögi, Jonas, Ossenkoppele, Rik, Olsson, Tomas, Schöll, Michael, Smith, Ruben +1 more·2019·Alzheimer's & 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 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.

Integrity signals

Registry

Crossref · 10.1016/j.jalz.2018.12.001

Cites

35 of 35 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

The text we found for this paper looks like another document, so its claims and self-check weren’t run. The registry and citation checks still apply.

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The text we found for this paper looks like another document, so the self-check wasn’t run.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Mattsson, N., Insel, P. S., Donohue, M., Jögi, J., Ossenkoppele, R., Olsson, T., Schöll, M., Smith, R., & Hansson, O.
Affiliations
  • Lund University (SE)
  • San Francisco VA Medical Center (US)
  • University of Southern California (US)
  • Skåne University Hospital (SE)
Corresponding author
Mattsson, Niklas
Venue
Alzheimer's & Dementia
Publisher
Wiley
Published
2019-01-09
Volume
15
Issue
4
Pages
570-580
ISSN
  • 1552-5260 (ISSN-L)
  • 1552-5279
OpenAlex
W2911001278
Cited by
92
References
35
Citations by year
2026: 7 · 2025: 9 · 2024: 9 · 2023: 12 · 2022: 12 · 2021: 13 · 2020: 26 · 2019: 4
FWCI
10.78
Type
journal article
Language
en
Open access
Locations
  • Alzheimer s & Dementia (publishedVersion)
  • PubMed (publishedVersion)
  • Pure Amsterdam UMC (publishedVersion, other-oa)
  • Amsterdam UMC (VU Amsterdam) - Institutional Repository (publishedVersion)
  • Lund University Publications (Lund University) (submittedVersion)
  • Data Archiving and Networked Services (DANS) (submittedVersion)
Funders
  • H2020 European Research Council
  • Vetenskapsrådet
  • Marianne and Marcus Wallenberg Foundation
Topics
  • Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
  • Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Medical Imaging Techniques and Applications
Keywords
Alzheimer's disease, 18F-AV-1451
MeSH terms
Aged, Alzheimer Disease, Brain, Carbolines, Cognition, Female, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Neuropsychological Tests, Sweden, Amyloid beta-Peptides, tau Proteins, Positron-Emission Tomography, Prodromal Symptoms

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review