RecruitingNot ApplicableNCT05317390

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

Sponsor

Massachusetts Eye and Ear Infirmary

Enrollment

1,000 participants

Start Date

Jun 1, 2022

Study Type

INTERVENTIONAL

Conditions

Parkinson Disease Dystonia Temporomandibular Joint Disorders Tic Disorders Essential Tremor Drug Induced Dystonia Dyskinesias Myoclonus Torticollis Ulnar Nerve Entrapment Dysphonia

Summary

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

Eligibility

Inclusion Criteria3

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 Criteria2

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.

Interventions

DIAGNOSTIC_TESTDystoniaNet-based diagnosis of isolated dystonia

DystoniaNet will be used for the diagnosis of dystonia and its differential diagnosis from other neurological and non-neurological disorders mimicking symptoms of dystonia