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

Launched by MASSACHUSETTS EYE AND EAR INFIRMARY · Mar 30, 2022

Keywords

ClinConnect Summary

This clinical trial is studying a new system called DystoniaNet, which uses advanced technology to help doctors diagnose a condition known as isolated dystonia. Dystonia is a movement disorder that causes involuntary muscle contractions, leading to unusual postures or movements. The trial aims to see how well this deep learning platform can identify different types of dystonia, especially in patients who may also have other movement disorders or conditions that resemble dystonia symptoms.

To participate, individuals of all ages and backgrounds who have been diagnosed with at least one form of dystonia or other related movement disorders may be eligible. However, those who cannot provide consent or have certain conditions that prevent them from undergoing an MRI may not qualify. Participants can expect to contribute to important research that could improve diagnosis and treatment for people with dystonia. This trial is currently recruiting, and everyone, regardless of gender, is welcome to apply.

Gender

ALL

Eligibility criteria

• 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.