Random forest analysis of midbrain hypometabolism using [18F]-FDG PET identifies Parkinson’s disease at the subject-level

Random forest analysis of midbrain hypometabolism using [18F]-FDG PET identifies Parkinson’s disease at the subject-level

Parkinson’s disease (PD) is currently diagnosed largely on the basis of expert judgement with neuroimaging serving only as a supportive tool. In a recent study, we identified a hypometabolic midbrain cluster, which includes parts of the substantia nigra, as the best differentiating metabolic feat...

Description complète

Enregistré dans:
Détails bibliographiques
Auteurs principaux: Ruppert-Junck, Marina Christine, Kräling, Gunter, Greuel, Andrea, Tittgemeyer, Marc, Timmermann, Lars, Drzezga, Alexander, Eggers, Carsten, Pedrosa, David
Format: Article
Langue:anglais
Publié: Philipps-Universität Marburg 2024
Sujets:
Parkinson’s disease
random forest
metabolic imaging
imaging biomarker
machine learning
Medizin
Medical sciences Medicine
Accès en ligne:Texte intégral en PDF
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
Publikationen im Open Access gefördert durch die UB

Documents similaires