Actively Recruiting
Artificial Intelligence in Molecular Imaging: Predicting Parkinson's Risk in REM Sleep Behavior Disorder
Led by Insel Gruppe AG, University Hospital Bern · Updated on 2024-11-08
20
Participants Needed
1
Research Sites
94 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
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.
CONDITIONS
Official Title
Artificial Intelligence in Molecular Imaging: Predicting Parkinson's Risk in REM Sleep Behavior Disorder
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Confirmed diagnosis of isolated REM sleep behavior disorder by movement disorder specialists based on International Classification of Sleep Disorders
- Written informed consent provided
You will not qualify if you...
- Known diagnosis of Parkinson's disease or other neurodegenerative disorders
- Clear signs of parkinsonism on examination
- Narcolepsy or other known causes of REM sleep behavior disorder
- Moderate to severe obstructive sleep apnea
- Abnormal neurological or MRI examination findings
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 1 location
1
Inselspital, University Clinic for Nuclear Medicine
Bern, Switzerland, 3010
Actively Recruiting
Research Team
A
Axel Rominger, Prof. Dr. med.
CONTACT
F
Franziska Strunz, PhD
CONTACT
How is the study designed?
Study Type
INTERVENTIONAL
Masking
NONE
Allocation
NA
Model
SINGLE_GROUP
Primary Purpose
DIAGNOSTIC
Number of Arms
1
Not the Right Trial for You?
Explore thousands of other clinical trials that might be a better match.
Sign up to get personalized trial recommendations delivered to your inbox.
Already have an account? Log in here