Automated Imaging for Parkinsonism
(AIDP Trial)
What You Need to Know Before You Apply
What is the purpose of this trial?
This trial aims to test new software that helps doctors better understand different types of parkinsonism through brain images. It will compare the software's findings with expert doctors' opinions to evaluate its effectiveness. The trial involves individuals with Parkinson's disease, Multiple System Atrophy (a condition similar to Parkinson’s), and Progressive Supranuclear Palsy (a rare brain disorder). Those who have had Parkinson's disease for 5 to 9 years and can undergo an MRI (a type of body scan) might be suitable candidates. As an unphased trial, this study offers participants the chance to contribute to innovative research that could enhance diagnostic tools for parkinsonism.
Do I need to stop my current medications for the trial?
The trial information does not specify whether you need to stop taking your current medications. It's best to discuss this with the trial coordinators or your doctor.
What prior data suggests that the AID-P is safe for use in diagnosing Parkinson's disease and related disorders?
Research shows that the AIDP tool in this trial is designed to help diagnose Parkinson's disease and similar conditions. It is important to note that AIDP is not a medical treatment or drug, so it does not carry the same risks. Instead, it is a software tool used for imaging and diagnosis.
The safety of this tool concerns how it manages data and whether it provides accurate and reliable results, rather than causing side effects like a drug might. Since this trial uses a software tool and not medication, there are no known health risks for participants. The focus is on how well the tool can identify and differentiate between conditions such as Parkinson's disease, multiple system atrophy, and progressive supranuclear palsy.
Participants can be assured that joining this trial does not involve medical risks related to treatment side effects. The main goal is to evaluate how well the software aids doctors in making accurate diagnoses.12345Why are researchers excited about this trial?
Researchers are excited about this trial because it aims to improve how we differentiate between types of parkinsonism using automated imaging. Unlike traditional methods that rely heavily on clinical assessments and symptoms, this technique uses advanced imaging technology to provide clearer, more accurate distinctions between conditions like Parkinson's disease, Multiple System Atrophy, and Progressive Supranuclear Palsy. This could lead to quicker, more accurate diagnoses and tailored treatments for patients, potentially improving outcomes and quality of life.
What evidence suggests that the AID-P is effective for diagnosing Parkinson's disease?
Research has shown that the Automated Imaging Differentiation of Parkinsonism (AIDP) tool can differentiate between various movement disorders. In a study involving 1,002 participants, AIDP successfully distinguished between healthy individuals and those with Parkinson's disease, multiple system atrophy, and progressive supranuclear palsy. Among the participants, 51% had Parkinson's disease, while the others had related conditions. This trial will assess AIDP's effectiveness in distinguishing these conditions. The tool's success lies in its ability to compare imaging results with diagnoses made by neurologists specializing in movement disorders. This indicates that AIDP could accurately identify these conditions using imaging data.678910
Are You a Good Fit for This Trial?
Inclusion Criteria
Timeline for a Trial Participant
Screening
Participants are screened for eligibility to participate in the trial
Imaging and Diagnosis
Participants undergo imaging and clinical scales, and data is uploaded to the web-based software tool for analysis
Follow-up
Participants are monitored for safety and effectiveness after imaging and diagnosis
What Are the Treatments Tested in This Trial?
Interventions
- AIDP
Find a Clinic Near You
Who Is Running the Clinical Trial?
University of Florida
Lead Sponsor
Massachusetts General Hospital
Collaborator
Penn State University
Collaborator
University of South Florida
Collaborator
University of Michigan
Collaborator
Augusta University
Collaborator
Albany Medical College
Collaborator
Beth Israel Deaconess Medical Center
Collaborator
Duke University
Collaborator
Johns Hopkins University
Collaborator