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Deep Learning Platform

DystoniaNet Diagnosis for Dystonia

N/A
Recruiting
Led By Kristina Simonyan, MD, PhD
Research Sponsored by Massachusetts Eye and Ear Infirmary
Eligibility Criteria Checklist
Specific guidelines that determine who can or cannot participate in a clinical trial
Must have
Patients will have at least one of the forms of dystonia, including focal dystonia (e.g., laryngeal, cervical, oromandibular, blepharospasm, focal hand, musicians), segmental dystonia, or generalized dystonia;
Patients with at least one form of dystonia, including focal dystonia (e.g., laryngeal, cervical, oromandibular, blepharospasm, focal hand, musicians), segmental dystonia, or generalized dystonia
Timeline
Screening 3 weeks
Treatment Varies
Follow Up 4 years
Awards & highlights

Study Summary

This trial is testing a new deep learning platform to see if it can accurately diagnose dystonia.

Who is the study for?
This trial is for individuals with various forms of dystonia or conditions that resemble dystonic symptoms, such as Parkinson's disease and essential tremor. It includes people of all ages, genders, and ethnic backgrounds. Those who can't give consent or have MRI-incompatible body modifications or devices are excluded.Check my eligibility
What is being tested?
The study is testing DystoniaNet, a deep learning platform designed to diagnose isolated dystonia by analyzing medical data. The research will look back at past cases and also include new patients to validate the accuracy of this diagnostic tool.See study design
What are the potential side effects?
Since this trial involves diagnosis rather than treatment, there are no direct side effects from interventions like medications. However, participants may experience discomfort or anxiety during the diagnostic procedures.

Eligibility Criteria

Inclusion Criteria

You may be eligible if you check “Yes” for the criteria below
Select...
I have a type of dystonia, such as in my neck, eyes, jaw, hand, or it affects my whole body.
Select...
I have a type of dystonia, such as in my neck, eyes, jaw, hand, or it's more widespread.
Select...
I have a type of dystonia, such as in my neck, eyes, jaw, hand, or it affects my whole body.

Timeline

Screening ~ 3 weeks
Treatment ~ Varies
Follow Up ~4 years
This trial's timeline: 3 weeks for screening, Varies for treatment, and 4 years for reporting.

Treatment Details

Study Objectives

Outcome measures can provide a clearer picture of what you can expect from a treatment.
Primary outcome measures
Correctness of clinical diagnosis of dystonia using the DystoniaNet algorithm
Time of clinical diagnosis of dystonia using the DystoniaNet algorithm

Trial Design

2Treatment groups
Experimental Treatment
Active Control
Group I: Prospective clinical validation of DystoniaNetExperimental Treatment1 Intervention
Prospective randomized studies will validate DystoniaNet performance for accurate, objective, and fast diagnosis of dystonia in the actual clinical setting.
Group II: Retrospective clinical validation of DystoniaNetActive Control1 Intervention
Retrospective studies will (1) clinically validate the diagnostic performance of DystoniaNet compared to a normal neurological state (normative test), and (2) develop and test DystoniaNet extensions in comparison with other neurological and non-neurological conditions (differential test).

Find a Location

Who is running the clinical trial?

Massachusetts Eye and Ear InfirmaryLead Sponsor
106 Previous Clinical Trials
11,949 Total Patients Enrolled
4 Trials studying Dystonia
490 Patients Enrolled for Dystonia
Kristina Simonyan, MD, PhDPrincipal InvestigatorMassachusetts Eye and Ear
8 Previous Clinical Trials
1,234 Total Patients Enrolled
6 Trials studying Dystonia
1,041 Patients Enrolled for Dystonia

Media Library

DystoniaNet (Deep Learning Platform) Clinical Trial Eligibility Overview. Trial Name: NCT05317390 — N/A
Dystonia Research Study Groups: Retrospective clinical validation of DystoniaNet, Prospective clinical validation of DystoniaNet
Dystonia Clinical Trial 2023: DystoniaNet Highlights & Side Effects. Trial Name: NCT05317390 — N/A
DystoniaNet (Deep Learning Platform) 2023 Treatment Timeline for Medical Study. Trial Name: NCT05317390 — N/A
Dystonia Patient Testimony for trial: Trial Name: NCT05317390 — N/A

Frequently Asked Questions

These questions and answers are submitted by anonymous patients, and have not been verified by our internal team.

What is the aggregate number of participants for this research?

"Indeed, the information hosted on clinicaltrials.gov attests to this experiment's active recruitment of individuals. The trial was first introduced on June 1st 2022 and last modified on August 10th 2022; it is looking for 1000 participants from a single site."

Answered by AI

Is enrollment still open for participation in this trial?

"Affirmative. Clinicaltrials.gov records demonstrate that the recruitment process for this investigation is underway, commencing on June 1st 2022 and being last modified on August 10th 2022. The research requires 1000 volunteers from a single site to participate in it."

Answered by AI

Who else is applying?

What state do they live in?
New York
Mississippi
Texas
How old are they?
18 - 65
What portion of applicants met pre-screening criteria?
Met criteria
Did not meet criteria
What site did they apply to?
Massachusetts Eye and Ear Infirmary
How many prior treatments have patients received?
0
3+

Why did patients apply to this trial?

I would like ton. Confirm my diagnosis.
PatientReceived 1 prior treatment
Recent research and studies
clinicaltrials.govStudy
Clinical Validation of DystoniaNet Deep Learning Platform for Diagnosis of Isolated Dystonia
Kristina Simonyan 2022. "Clinical Validation of DystoniaNet Deep Learning Platform for Diagnosis of Isolated Dystonia". ClinicalTrials.gov. https://clinicaltrials.gov/ct2/show/NCT05317390.
All > Tmd > Tmj
~621 spots leftby Apr 2027
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