Forskning
Udskriv Udskriv
Switch language
Region Hovedstaden - en del af Københavns Universitetshospital
Udgivet

Evaluating 2-[F-18]FDG-PET in differential diagnosis of dementia using a data-driven decision model

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

DOI

  1. Imaging cortical multiple sclerosis lesions with ultra-high field MRI

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

  2. Interictal pontine metabolism in migraine without aura patients: A 3 Tesla proton magnetic resonance spectroscopy study

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

  3. In vivo tensor-valued diffusion MRI of focal demyelination in white and deep grey matter of rodents

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

  1. Alzheimer's disease related biomarkers in bipolar disorder - A longitudinal one-year case-control study

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

  2. Proposal of a new grading system for meningioma resection: the Copenhagen Protocol

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

  3. Diagnostic Accuracy and Clinical Impact of [ 18F]FET PET in Childhood CNS tumors

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

  4. Associations between oxidative stress and perceived stress in patients with bipolar disorder and healthy control individuals

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

Vis graf over relationer

2-[18F]fluoro-2-deoxy-d-glucose positron emission tomography (2-[18F]FDG-PET) has an emerging supportive role in dementia diagnostic as distinctive metabolic patterns are specific for Alzheimer's disease (AD), dementia with Lewy bodies (DLB) and frontotemporal dementia (FTD). Previous studies have demonstrated that a data-driven decision model based on the disease state index (DSI) classifier supports clinicians in the differential diagnosis of dementia by using different combinations of diagnostic tests and biomarkers. Until now, this model has not included 2-[18F]FDG-PET data. The objective of the study was to evaluate 2-[18F]FDG-PET biomarkers combined with commonly used diagnostic tests in the differential diagnosis of dementia using the DSI classifier. We included data from 259 subjects diagnosed with AD, DLB, FTD, vascular dementia (VaD), and subjective cognitive decline from two independent study cohorts. We also evaluated three 2-[18F]FDG-PET biomarkers (anterior vs. posterior index (API-PET), occipital vs. temporal index, and cingulate island sign) to improve the classification accuracy for both FTD and DLB. We found that the addition of 2-[18F]FDG-PET biomarkers to cognitive tests, CSF and MRI biomarkers considerably improved the classification accuracy for all pairwise comparisons of DLB (balanced accuracies: DLB vs. AD from 64% to 77%; DLB vs. FTD from 71% to 92%; and DLB vs. VaD from 71% to 84%). The two 2-[18F]FDG-PET biomarkers, API-PET and occipital vs. temporal index, improved the accuracy for FTD and DLB, especially as compared to AD. Moreover, different combinations of diagnostic tests were valuable to differentiate specific subtypes of dementia. In conclusion, this study demonstrated that the addition of 2-[18F]FDG-PET to commonly used diagnostic tests provided complementary information that may help clinicians in diagnosing patients, particularly for differentiating between patients with FTD, DLB, and AD.

OriginalsprogEngelsk
Artikelnummer102267
TidsskriftNeuroImage. Clinical
Vol/bind27
Sider (fra-til)102267
ISSN2213-1582
DOI
StatusUdgivet - 2020

Bibliografisk note

Copyright © 2020 The Author(s). Published by Elsevier Inc. All rights reserved.

ID: 61264323