RecruitingNot Applicable

Clinical Validation of DystoniaNet Deep Learning Platform for Diagnosis of Isolated Dystonia

United States1,000 participantsStarted 2022-06-01

Plain-language summary

This research involves retrospective and prospective studies for clinical validation of a DystoniaNet deep learning platform for the diagnosis of isolated dystonia.

Who can participate

SexALL

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Inclusion criteria

✓. Males and females of diverse racial and ethnic backgrounds, with age across the lifespan;
✓. 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 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

✕. Patients who are incapable of giving informed consent;
✕. 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.

What they're measuring

Correctness of clinical diagnosis of dystonia using the DystoniaNet algorithm

Timeframe: 4 years

Time of clinical diagnosis of dystonia using the DystoniaNet algorithm

Timeframe: 4 years

Trial details

NCT IDNCT05317390

SponsorMassachusetts Eye and Ear Infirmary

Sponsor typeOTHER

Study typeINTERVENTIONAL

Primary completion2028-04-30

Contact for this trial

Kristina Simonyan, MD, PhD

617-573-6016 simonyan_lab@meei.harvard.edu

View on ClinicalTrials.gov More Dystonia trials