Education-Adjusted Normality Thresholds for FDG-PET in the Diagnosis of Alzheimer Disease

Ismini C. Mainta, Sara Trombella, Silvia Morbelli, Giovanni B. Frisoni, Valentina Garibotto

Research output: Contribution to journalArticle

Abstract

Background: A corollary of the reserve hypothesis is that what is regarded as pathological cortical metabolism in patients might vary according to education. Objective: The aim of this study is to assess the incremental diagnostic value of education-adjusted over unadjusted thresholds on the diagnostic accuracy of FDG-PET as a biomarker for Alzheimer disease (AD). Methods: We compared cortical metabolism in 90 healthy controls and 181 AD patients from the Alzheimer Disease Neuroimaging Initiative (ADNI) database. The AUC of the ROC curve did not differ significantly between the whole group and the higher-education patients or the lower-education subjects. Results: The threshold of wMetaROI values providing 80% sensitivity was lower in higher-education patients and higher in the lower-education patients, compared to the standard threshold derived over the whole AD collective, without, however, significant changes in sensitivity and specificity. Conclusion: These data show that education, as a proxy of reserve, is not a major confounder in the diagnostic accuracy of FDG-PET in AD and the adoption of education-adjusted thresholds is not required in daily practice.

Original languageEnglish
Pages (from-to)120-126
Number of pages7
JournalNeurodegenerative Diseases
DOIs
Publication statusAccepted/In press - Jun 5 2018

Fingerprint

Alzheimer Disease
Education
Patient Education
Proxy
Neuroimaging
ROC Curve
Area Under Curve
Biomarkers
Databases
Sensitivity and Specificity

Keywords

  • Alzheimer disease
  • Education
  • FDG-PET
  • Reserve

ASJC Scopus subject areas

  • Neurology
  • Clinical Neurology

Cite this

Education-Adjusted Normality Thresholds for FDG-PET in the Diagnosis of Alzheimer Disease. / Mainta, Ismini C.; Trombella, Sara; Morbelli, Silvia; Frisoni, Giovanni B.; Garibotto, Valentina.

In: Neurodegenerative Diseases, 05.06.2018, p. 120-126.

Research output: Contribution to journalArticle

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