Concordance between brain F-FDG PET and cerebrospinal fluid biomarkers in diagnosing Alzheimer's disease.

Rev Esp Med Nucl Imagen Mol (Engl Ed)

Servicio de Neurología, Hospital Universitari Son Espases, Palma, España; Instituto de Investigación Sanitaria de Palma (IdISPa), Palma, España.

Published: September 2018

Objectives: Cortical posterior hypometabolism on PET imaging with F-FDG (FDG-PET), and altered levels of Aß peptide, total Tau (tTau) and phosphorylated Tau (pTau) proteins in cerebrospinal fluid (CSF) are established diagnostic biomarkers in Alzheimer's disease (AD). An evaluation has been made of the concordance and relationship between the results of FDG-PET and CSF biomarkers in symptomatic patients with suspected AD.

Material And Methods: A retrospective review was carried out on 120 patients with cognitive impairment referred to our Cognitive Neurology Unit, and who were evaluated by brain FDG-PET and a lumbar puncture for CSF biomarkers. In order to calculate their Kappa coefficient of concordance, the result of the FDG-PET and the set of the three CSF biomarkers in each patient was classified as normal, inconclusive, or AD-compatible. The relationship between the results of both methods was further assessed using logistic regression analysis, including the Aß, tTau and pTau levels as quantitative predictors, and the FDG-PET result as the dependent variable.

Results: The weighted Kappa coefficient between FDG-PET and CSF biomarkers was 0.46 (95% CI: 0.35-0.57). Logistic regression analysis showed that the Aß and tTau values together were capable of discriminating an FDG-PET result metabolically suggestive of AD from one non-suggestive of AD, with a 91% sensitivity and 93% specificity at the cut-off line Aß=44+1.3×tTau.

Conclusions: The level of concordance between FDG-PET and CSF biomarkers was moderate, indicating their complementary value in diagnosing AD. The Aß and tTau levels in CSF help to predict the patient FDG-PET cortical metabolic status.

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Source
http://dx.doi.org/10.1016/j.remn.2017.05.003DOI Listing

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