Artificial Intelligence in Molecular Imaging: Predicting Parkinson's Risk in REM Sleep Behavior Disorder

Trial statusRecruiting
Trial phaseNot applicable
Trial typeInterventional
Biological sexAll
Age18+
SponsorInsel Gruppe AG, University Hospital Bern

About this trial

The study aims to systematically document the course of REM sleep behavior disorder (RBD) and investigate possible clinical and imaging biomarkers for disease progression and conversion risk to Parkinson's disease (PD), dementia with Lewy bodies (DLB), and multiple system atrophy (MSA). The study will use artificial intelligence to analyze imaging and develop a reliable method to predict and stratify patients approaching conversion to overt a-synucleinopathy. Participants will be clinically evaluated and 2 imaging procedures will be done.

Eligibility criteria

Qualifiers

Confirmed clinical iRBD diagnosis by movement disorder specialists according to the International Classification of Sleep Disorders

Written informed consent

Disqualifiers

Known diagnosis of PD or other neurodegenerative disorder

Unequivocal signs of parkinsonism on examination

Narcolepsy or other known causes of RBD

Moderate to severe obstructive sleep apnea

Trial design

Treatments tested in this trial

  • PET/CT with 18-FDG
  • SPECT : 123 I-FP-CIT (DATSCAN)
  • MRI

Treatment groups

20 Participants
are divided into 1 treatment group