Super-resolution of Brain Magnetic Resonance Images in Deep Brain Stimulation for Parkinson's Disease (SuperResDBS)

Radboud University Medical Center

Status: Completed

Conditions: Parkinson Disease; Parkinson

Study type: Observational

Funder types: Other

Identifiers

NCT05596201

113394

Details and patient eligibility

About

The goal of this study is to increase magnetic resonance image quality in patients suffering from Parkinson's disease. The main question it aims to answer is: can super-resolution improve clinical magnetic resonance image quality to benefit deep brain stimulation for Parkinson's disease? Participants will receive an additional high-quality MRI scan.

Full 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.

Enrollment: 20 patients

Sex: All

Ages: 18 to 99 years old

Volunteers: No Healthy Volunteers

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.