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...

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Detaylı Bibliyografya
Asıl Yazarlar: Ruppert-Junck, Marina Christine, Kräling, Gunter, Greuel, Andrea, Tittgemeyer, Marc, Timmermann, Lars, Drzezga, Alexander, Eggers, Carsten, Pedrosa, David
Materyal Türü: Makale
Dil:İngilizce
Baskı/Yayın Bilgisi: Philipps-Universität Marburg 2024
Konular:
Parkinson’s disease
random forest
metabolic imaging
imaging biomarker
machine learning
Medizin
Medical sciences Medicine
Online Erişim:PDF Tam Metin
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