Multiple System Atrophy, Parkinson Variant, Parkinson Disease, Progressive Supranuclear Palsy
Conditions
Brief summary
The purpose of this study is to test the performance of the AID-P across 21 sites in the Parkinson Study Group. Each site will perform imaging, clinical scales, diagnosis, and will upload the data to the web-based software tool. The clinical diagnosis will be blinded to the diagnostic algorithm and the imaging diagnosis will be compared to the movement disorders trained neurologist diagnosis.
Interventions
DIAGNOSTIC_TESTAIDP
Machine learning algorithm of imaging data
Sponsors
University of Florida
Augusta University
Albany Medical College
Beth Israel Deaconess Medical Center
Duke University
Johns Hopkins University
Massachusetts General Hospital
Northwestern University
Ottawa Hospital Research Institute
Penn State University
University of Alabama at Birmingham
University of California, San Diego
University of California, San Francisco
University of Chicago
University of Michigan
University of Minnesota
University of South Florida
Centre for Addiction and Mental Health
Wake Forest University
Washington University School of Medicine
University of Kentucky
National Institute of Neurological Disorders and Stroke (NINDS)
Study design
Observational model
CASE_CONTROL
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
40 Years to 80 Years
Healthy volunteers
No
Inclusion criteria
* Parkinson's disease diagnosis within 5-9 years of baseline date * MSAp diagnosis * PSP diagnosis
Exclusion criteria
* metal implants in the body that preclude an MRI (pacemaker, metallic clip, neurostimulator, etc) * claustrophobia * pregnancy
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Predicted diagnosis accuracy | 12-18 months | utilizing the automated imaging differentiation of Parkinsonism (AIDP) tool to predict diagnosis compared to the expertise of two movement disorder specialists |
Countries
Canada, United States
Outcome results
None listed