Super-resolution of Brain Magnetic Resonance Images in Deep Brain Stimulation for Parkinson's Disease (SuperResDBS)
Study Overview
Status
Status
Conditions
Conditions
Detailed Description
Rationale: Better targeting of the subthalamic nucleus (STN) improves the outcome of deep brain stimulation (DBS) for Parkinson's disease. Yet, the accuracy of delineating the STN, and therefore the targeting, is limited by the spatial resolution of the magnetic resonance (MR) imaging. The current study aims to acquire a high resolution (HR) MR dataset, tailored to visualise the STN, to train a super-resolution model to predict HR MR images based on lower resolution MR input. This model will aid delineating the STN and improve segmentation and targeting.
Objective: To develop a deep learned super-resolution model that predicts high-resolution MR images with a peak signal-to-noise ratio of 37 decibel or higher.
Study design: Prospective observational study.
Study population: Twenty Parkinson's patients considered eligible for DBS surgery at Radboud University Medical Centre will be included.
Main study parameters/endpoints: Peak signal-to-noise ratio measured in decibels.
Study Type
Study Type
Enrollment (Actual)
Enrollment
Contacts and Locations
Study Contact
Study Contact
- Name: Dirk Loeffen, MSc.
- Phone Number: +31 24 361 66 04
- Email: Dirk.Loeffen@radboudumc.nl
Study Locations
-
-
Gelderland
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Nijmegen, Gelderland, Netherlands, 6525GA
- Radboud University Medical Center
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Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- Patients eligible for bilateral STN-DBS-surgery for Parkinson's disease.
- Signed informed consent
Exclusion Criteria:
- Any intracranial abnormality that is not in line with Parkinson's disease progression
- Previous intracranial surgery
- Any significant medical condition that is likely to interfere with study procedures.
- Pregnancy at the time of enrollment.
- Participation in any other clinical trial (e.g. drug, device, or biologics) that interferes with this study.
Study Plan
How is the study designed?
Design Details
- Observational Models: Other
- Time Perspectives: Prospective
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Peak signal-to-noise ratio
Time Frame: Six months after study completion of the last subject.
|
The change in image quality as determined by the peak signal-to-noise ratio.
|
Six months after study completion of the last subject.
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Structural similarity index measure
Time Frame: Six months after study completion of the last subject.
|
The change in image quality as determined by the structural similarity index measure.
|
Six months after study completion of the last subject.
|
|
Normalized root mean squared error
Time Frame: Six months after study completion of the last subject.
|
The change in image quality as determined by the normalized root mean squared error.
|
Six months after study completion of the last subject.
|
Collaborators and Investigators
Sponsor
Sponsor
Investigators
Investigators
- Principal Investigator: Saman Vinke, MD, Radboud University Medical Center
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Actual)
Primary Completion
Study Completion (Actual)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- 113394
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
The programs that have been developed, and the models that have been trained, will be published integrally and open source. Such that it is available freely, for the scientific community to use.
When the results of this study have been published, the data will be shared open source for use in other research. In this way the data can be used to the fullest. Before sharing the data, the faces will be masked. No identifiable data from subjects will be disclosed. The identity of these subjects can also not be discovered using recombination of this dataset with other datasets.
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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