Relevance of 18F-DOPA visual and semi-quantitative PET metrics for the diagnostic of Parkinson disease in clinical practice: a machine learning-based inference study

Relevance of 18F-DOPA visual and semi-quantitative PET metrics for the diagnostic of Parkinson disease in clinical practice: a machine learning-based inference study

Abstract Purpose To decipher the relevance of visual and semi-quantitative 6-fluoro-(18F)-L-DOPA (18F-DOPA) interpretation methods for the diagnostic of idiopathic Parkinson disease (IPD) in hybrid positron emission tomography (PET) and magnetic resonance imaging. Material and methods A total of 110...

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Bibliographic Details
Main Authors: Alex Iep, Mohammad B. Chawki, Lucas Goldfarb, Loc Nguyen, Vincent Brulon, Claude Comtat, Vincent Lebon, Florent L. Besson
Format: Article
Language:English
Published: SpringerOpen 2023-02-01
Series:EJNMMI Research
Subjects:
Fluorodopa F 18
Parkinson's disease
Machine learning
Positron-emission tomography
Online Access:https://doi.org/10.1186/s13550-023-00962-x

Internet

https://doi.org/10.1186/s13550-023-00962-x

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