Validation of a deep learning platform for diagnosing isolated dystonia

Is this trial a fit for you?

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This research focuses on validating the DystoniaNet deep learning platform for diagnosing isolated dystonia through both retrospective and prospective studies. Isolated dystonia is a movement disorder characterized by involuntary muscle contractions, and current diagnostic methods often lead to inaccuracies and delays. The study aims to compare the DystoniaNet algorithm's performance against healthy subjects and other conditions to establish its effectiveness. Ultimately, the goal is to enhance the accuracy and speed of dystonia diagnosis in clinical settings.

Why it matters

Who can join: the full rules

Inclusion criteria:

1. Males and females of diverse racial and ethnic backgrounds, with age across the lifespan;
2. 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;
3. Patients will have other movement disorders (Parkinson's disease, essential tremor, dyskinesia, myoclonus) and other non-neurological conditions (tic disorders, torticollis, ulnar nerve entrapments, temporomandibular disorders, dysphonia) that mimic dystonic symptoms.

Exclusion criteria:

1. Patients who are incapable of giving informed consent;
2. Patients who are unable to undergo brain MRI due to the presence of certain tattoos and ferromagnetic objects in their bodies (e.g., implanted stimulators, surgical clips, prosthesis, artificial heart valve) that cannot be removed or due to pregnancy or breastfeeding at the time of the study.

Where it's running

• Massachusetts Eye and Ear Infirmary
  Boston, Massachusetts, United States Recruiting

Study contacts

• Principal investigator: Kristina Simonyan, MD, PhD — Massachusetts Eye and Ear
• Study coordinator: Kristina Simonyan, MD, PhD
• Email: simonyan_lab@meei.harvard.edu
• Phone: 617-573-6016

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How to take part

1. Review the eligibility criteria above with your treating physician.
2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.