[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100463645":3},{"organization":4,"armGroups":7,"interventions":19,"overallOfficials":25,"centralContacts":30,"locations":35,"responsibleParty":51,"collaborators":12,"id":54,"slug":55,"hasResults":56,"nctId":57,"briefTitle":58,"officialTitle":58,"acronym":12,"eligibilityCriteria":59,"healthyVolunteers":60,"sex":61,"minAge":12,"maxAge":12,"enrollmentInfo":62,"targetDuration":12,"studyType":65,"phases":66,"briefSummary":68,"conditions":69,"keywords":12,"overallStatus":37,"whyStopped":12,"lastUpdateSubmitDate":81,"lastUpdatePostDateStruct":82,"startDateStruct":85,"completionDateStruct":87,"leadSponsor":89,"locationsCount":90},{"fullName":5,"class":6},"Massachusetts Eye and Ear Infirmary","OTHER",[8,13],{"label":9,"type":10,"description":11,"interventionNames":12},"Retrospective clinical validation of DystoniaNet","NO_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).",null,{"label":14,"type":15,"description":16,"interventionNames":17},"Prospective clinical validation of DystoniaNet","EXPERIMENTAL","Prospective randomized studies will validate DystoniaNet performance for accurate, objective, and fast diagnosis of dystonia in the actual clinical setting.",[18],"Diagnostic Test: DystoniaNet-based diagnosis of isolated dystonia",[20],{"type":21,"name":22,"description":23,"armGroupLabels":24,"otherNames":12},"DIAGNOSTIC_TEST","DystoniaNet-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",[14],[26],{"name":27,"affiliation":28,"role":29},"Kristina Simonyan, MD, PhD","Massachusetts Eye and Ear","PRINCIPAL_INVESTIGATOR",[31],{"name":27,"role":32,"phone":33,"phoneExt":12,"email":34},"CONTACT","617-573-6016","simonyan_lab@meei.harvard.edu",[36],{"facility":5,"status":37,"city":38,"state":39,"zip":40,"country":41,"countryCode":42,"cosmosGeoPoint":43,"geoPoint":48,"contacts":49},"RECRUITING","Boston","Massachusetts","02114","United States","US",{"type":44,"coordinates":45},"Point",[46,47],-71.05977,42.35843,{"lat":47,"lon":46},[50],{"name":27,"role":32,"phone":33,"phoneExt":12,"email":34},{"type":29,"investigatorFullName":52,"investigatorTitle":53,"investigatorAffiliation":5,"oldNameTitle":12,"oldOrganization":12},"Kristina Simonyan","Professor of Otolaryngology - Head and Neck Surgery","100463645","clinical-validation-of-dystonianet-deep-learning-platform-for-diagnosis-of-isolated-dystonia-100463645",false,"NCT05317390","Clinical Validation of DystoniaNet Deep Learning Platform for Diagnosis of Isolated Dystonia","Inclusion criteria:\n\n1. Males and females of diverse racial and ethnic backgrounds, with age across the lifespan;\n2. 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;\n3. 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.\n\nExclusion criteria:\n\n1. Patients who are incapable of giving informed consent;\n2. 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.",true,"ALL",{"count":63,"type":64},1000,"ESTIMATED","INTERVENTIONAL",[67],"NA","This research involves retrospective and prospective studies for clinical validation of a DystoniaNet deep learning platform for the diagnosis of isolated dystonia.",[70,71,72,73,74,75,76,77,78,79,80],"Dystonia","Drug Induced Dystonia","Parkinson Disease","Essential Tremor","Dyskinesias","Myoclonus","Tic Disorders","Torticollis","Ulnar Nerve Entrapment","Temporomandibular Joint Disorders","Dysphonia","2025-11-24",{"date":83,"type":84},"2025-12-02","ACTUAL",{"date":86,"type":84},"2022-06-01",{"date":88,"type":64},"2028-04-30",{"name":5,"class":6},1]