Differential Diagnosis of Alzheimer Disease vs. Mild Cognitive Impairment Based on Left Temporal Lateral Lobe Hypomethabolism on 18 F-FDG PET/CT and Automated Classifiers.

Susanna NuvoliFrancesco BianconiMaria RondiniAchille LazzaratoAndrea MarongiuMario Luca FravoliniSilvia CascianelliSerena AmiciLuca FilippiAngela SpanuBarbara Palumbo

Published in: Diagnostics (Basel, Switzerland) (2022)

Our findings confirm the usefulness of brain 18F-FDG PET/CT QL and QN analyses in differentiating AD from MCI. Moreover, the combined use of automated classifications models can improve the diagnostic process since its use allows identification of a specific hypometabolic area involved in AD cases in respect to MCI. This data improves the traditional 18F-FDG PET/CT image interpretation and the diagnostic assessment of cognitive disorders.

Keyphrases

mild cognitive impairment
deep learning
cognitive decline
machine learning
high throughput
white matter
big data
electronic health record
resting state
minimally invasive
contrast enhanced
magnetic resonance imaging
computed tomography
functional connectivity
brain injury
data analysis
clinical evaluation