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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
Must not have
Patients who are incapable of giving informed consent
Timeline
Screening 3 weeks
Treatment Varies
Follow Up 4 years
Awards & highlights

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.

Exclusion Criteria

You may be eligible for the trial if you check “No” for criteria below:
Select...
I am unable to understand and give consent for my treatment.

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).

Research Highlights

Information in this section is not a recommendation. We encourage patients to speak with their healthcare team when evaluating any treatment decision.
Mechanism Of Action
Side Effect Profile
Prior Approvals
Other Research
The most common treatment for dystonia involves botulinum toxin (BoNT) injections, which work by blocking the release of acetylcholine at the neuromuscular junction, leading to temporary muscle relaxation and reduced spasticity. This is particularly important for dystonia patients as it helps alleviate muscle contractions and improve functional abilities. Accurate diagnosis, as facilitated by platforms like DystoniaNet, ensures that patients receive appropriate and timely treatment, optimizing outcomes and enhancing quality of life.

Find a Location

Who is running the clinical trial?

Massachusetts Eye and Ear InfirmaryLead Sponsor
107 Previous Clinical Trials
11,986 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: Prospective clinical validation of DystoniaNet, Retrospective 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
~569 spots leftby Apr 2027