Automated Imaging Differentiation of Parkinsonism

N/AActive Not RecruitingNCT05913687

University of Florida315 enrolled

Overview

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.

Study Type

OBSERVATIONAL

Enrollment

315

Conditions

Parkinson Disease Multiple System Atrophy, Parkinson Variant Progressive Supranuclear Palsy

Interventions

AIDPDIAGNOSTIC_TEST

Machine learning algorithm of imaging data

Eligibility

Sex: ALLMin age: 40 YearsMax age: 80 Years

Medical Language ↔ Plain English

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

Locations (21)

University of Alabama at Birmingham

Birmingham, Alabama, United States

Outcomes

Primary Outcomes

Predicted diagnosis accuracy

utilizing the automated imaging differentiation of Parkinsonism (AIDP) tool to predict diagnosis compared to the expertise of two movement disorder specialists

Time frame: 12-18 months

Data from ClinicalTrials.gov

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