Facilitating Diagnostics and Prognostics of Parkinsonian Syndromes Using Neuroimaging
Quantitative Diagnostics of Parkinsonian Syndromes Using Multi-modal Neuroimaging and Deep Learning
1 other identifier
observational
90
1 country
1
Brief Summary
The goals of this study are: 1) to identify biomarkers using neuroimaging that are associated with progression rate using statistical methods, and 2) to identify biomarkers that are associated with the differential diagnosis of Parkinson's disease and atypical parkinsonism.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for all trials
Started Mar 2019
Longer than P75 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
March 7, 2019
CompletedFirst Posted
Study publicly available on registry
March 13, 2019
CompletedStudy Start
First participant enrolled
March 28, 2019
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 31, 2026
ExpectedStudy Completion
Last participant's last visit for all outcomes
December 31, 2026
January 27, 2026
January 1, 2026
7.8 years
March 7, 2019
January 25, 2026
Conditions
Outcome Measures
Primary Outcomes (2)
Imaging biomarker of progression rate
The imaging biomarker consists of a machine learning model that distinguishes fast and slow progressors using the neuroimaging data. The performance of the model will be assessed quantitatively using widely adopted performance metrics: sensitivity, specificity, and accuracy.
Baseline
Imaging biomarker that discriminates different neurodegenerative diseases
The imaging biomarker consists of a machine learning model that differentiates the parkinsonian diseases: PD, PSP, and MSA using the neuroimaging data. The performance of the model will be assessed quantitatively using widely adopted performance metrics from the classification confusion matrix. The metrics will include disease sensitivity, disease specificity, and disease specific accuracy and overall accuracy.
Baseline
Secondary Outcomes (5)
Change from baseline in MDS-UPDRS score
Baseline, 6-8 Month Visit, End of Study Visit (12-16 Month)
Change from baseline in Unified Multiple System Atrophy Rating Scale (UMSARS) score
Baseline, 6-8 Month Visit, End of Study Visit (12-16 Month)
Change from baseline in Progressive Supranuclear Palsy Rating Scale (PSPRS) score
Baseline, 6-8 Month Visit, End of Study Visit (12-16 Month)
Change from baseline in Parkinson disease questionnaire
Baseline, 6-8 Month Visit, End of Study Visit (12-16 Month)
Change from baseline in Schwab and England Activities of Daily Living Scale
Baseline, 6-8 Month Visit, End of Study Visit (12-16 Month)
Study Arms (2)
Aim 1: Develop a biomarker of PD disease progression rate
For Aim 1, we will enroll PD subjects spanning a range of progression rates that have been tracked at UT Southwestern Medical Center. Multimodal neuroimaging will be acquired from each subject. We will evaluate imaging data and known data on clinical progression using statistical techniques to determine a biomarker that associates with progression rate.
Aim 2: Develop a biomarker to distinguish between PD, PSP, MSA
For Aim 2, we will recruit subjects with PD, MSA, and PSP. We will also recruit healthy age/sex-matched controls. All subjects will complete a series of clinical assessments at three different time points, roughly 6-8 months apart: * Levodopa Equivalent Daily Dose * Parkinson disease questionnaire * Schwab and England ADL Scale * MDS-UPDRS (PD and healthy controls only) * UMSARS (MSA subjects only) * PSPRS (PSP subjects only) Multimodal neuroimaging will be acquired from each subject. We will evaluate imaging data from the participants along with prospectively collected information on clinical progression using statistical techniques to determine a biomarker that associates with the differentiation of PD, MSA, and PSP.
Eligibility Criteria
There are 4 study populations: 1. Subjects with PD 2. Subjects with PSP 3. Subjects with MSA 4. Control subjects
You may qualify if:
- For Aim 1:
- Diagnosis of Parkinson disease
- Existence of sufficient clinical data from previous UTS Southwestern longitudinal study to determine progression rate (categorized as fast or slow)
- Availability of suitable matched participant in the alternate progression group (fast or slow)
- Willingness to participate in the imaging studies required for this study and to provide written informed consent
- For Aim 2:
- PD subjects will be recruited in accordance with the MDS Clinical Diagnostic Criteria for PD.
- Duration of PD (since diagnosis) is \< 5 years
- Willing to participate in imaging and clinical scoring visits, and provide written informed consent
- Subject and investigator agree that it is highly likely subject will be able to participate throughout the 2-year study period (no plans to move)
- MSA subjects will be recruited in accordance with the Second Consensus Statement on Diagnosis of Multiple System Atrophy.
- Duration of MSA (since diagnosis) is \< 5 years
- Willing to participate in imaging and clinical scoring visits, and provide written informed consent
- Subject and investigator agree that it is highly likely subject will be able to participate throughout the 2-year study period (no plans to move away during the study)
- Willing to participate in imaging and clinical scoring visits, and provide written informed consent
- +8 more criteria
You may not qualify if:
- For Aims 1 and 2:
- Any contraindications to undergoing the multimodal imaging program
- All females of child-bearing potential, between the ages of 18-55, will be excluded from the study, unless they are confirmed to be not pregnant with a pregnancy test prior to scanning
- This study will require constant clear communication throughout the duration of the study; therefore, non-English speakers will be excluded
- Right-handed finger amputees
- Cast on right hand or fingers at the time of enrollment
- Has clinically significant liver, kidney, lung, metabolic or hormone disturbances which pose safety risk
- Has a current clinically significant heart disease that poses a safety risk
- Has a current clinically significant infectious disease or a medical comorbidity which poses a safety risk
- Has a history of relevant severe drug allergy or hypersensitivity
- Have a history of drug, alcohol, or substance dependence or abuse within the last year, or prior prolonged history of dependence or abuse
- Currently undergoing chemotherapy or radiation for cancer
- Recreational drug use in past six months
- Central nervous systems disease or brain injury that would preclude participation in this study
- Psychiatric or neurological disorder that would preclude participation in this study
- +39 more criteria
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
UT Southwestern Medical Center
Dallas, Texas, 75390, United States
Related Publications (1)
Tomlinson CL, Stowe R, Patel S, Rick C, Gray R, Clarke CE. Systematic review of levodopa dose equivalency reporting in Parkinson's disease. Mov Disord. 2010 Nov 15;25(15):2649-53. doi: 10.1002/mds.23429.
PMID: 21069833BACKGROUND
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Padraig E O'Suilleabhain, MD
University of Texas Southwestern Medical Center
- PRINCIPAL INVESTIGATOR
Albert Montillo, PhD
University of Texas Southwestern Medical Center
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Professor
Study Record Dates
First Submitted
March 7, 2019
First Posted
March 13, 2019
Study Start
March 28, 2019
Primary Completion (Estimated)
December 31, 2026
Study Completion (Estimated)
December 31, 2026
Last Updated
January 27, 2026
Record last verified: 2026-01
Data Sharing
- IPD Sharing
- Will not share