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Dystonia Image-based Programming of Stimulation: A Prospective, Randomized, Double-blind Crossover Trial

Study acronym: DIPS
StatusRecruiting
PhaseNot applicable
Started
View on ClinicalTrials.gov ↗
Record status
This record was last updated January 28, 2025 (before its estimated September 2025 completion). Its status may not reflect the trial's current state.

Record History

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  1. Notable Primary completion date: Sep 2024 to Sep 2025
    • Study completion date: Dec 2024 to Dec 2025
    • Study description expanded, about 14 words
    • Collaborators expanded, about 7 words
    v4
  2. Minor Re-verified, no change to tracked fieldsv3
  3. Notable Trial status: Not Yet Recruiting to Recruiting
    • Start date changed from estimate of Oct 2021 to Nov 1, 2021
    • Site details revised
    v2
  4. Minor Study First Submitted
  • Stopped: an ongoing trial was terminated, suspended or withdrawn.
  • Notable: the trial’s plan changed such as a big move in its timeline or size, a new primary endpoint, sponsor or phase, or recruiting opened or resumed.
  • Minor: routine progress and housekeeping, such as sites added or enrollment closed.
The primary objective of this exploratory study is to prospectively evaluate the feasibility of image-guided programming of pallidal deep brain stimulation (DBS) for dystonia. The dystonias are a heterogeneous group of movement disorders that share the core clinical feature of abnormal involuntary muscle contractions in common. Pallidal DBS is an established therapy for severe cases with an average improvement in dystonia severity of 50-60%. However, outcomes are variable and difficult to predict, and clinical trials report up to 25% of Nonresponders. Variability in electrode placement and inappropriate stimulation settings may account for much of this variability in outcome. In addition, improvement in dystonia is delayed, often days to weeks after a change in DBS therapy, complicating programming. Our group recently developed a computer model to predict optimal individualized stimulation settings in patients based on the outcome of a large cohort of of chronically treated patients. In-silico testing showed a 16.3% better mean group improvement with computer-assisted programming compared with physician-assisted programming and a dramatic reduction in non-responders (from 25% to 5%). In this prospective study, the computer model will be compared in a randomized, controlled, and double blinded setting against best clinical DBS programming. The primary outcome will be a responder analysis in which dystonia severity will be compared between conventional clinical and model-based programming will be compared.
Trial Details
NCT Number NCT05097001
Lead Sponsor Wuerzburg University Hospital
Collaborators: BMBF (Bundes Ministerium fuer Bildung und Forschung)
Conditions
(from sponsor)
Dystonia, Deep Brain Stimulation
Related terms Dystonia
Enrollment 80 participants
Start Date
Primary Completion (estimated)
Study Completion (estimated)
Updated on ClinicalTrials.gov