Robot-Assisted Deep Brain Stimulation for Parkinson's Disease : Accuracy, Workflow, Clinical Outcomes, and Safety

Area of Science:

• Neurosurgery
• Robotics in Medicine
• Neurological Disorders

Background:

• Deep brain stimulation (DBS) is a key treatment for Parkinson's disease (PD).
• Traditional DBS surgery faces challenges in precision and reproducibility.
• Robot-assisted surgery offers potential advancements in neurosurgical procedures.

Purpose of the Study:

• To review and compare current robotic DBS platforms.
• To evaluate technical mechanisms, accuracy, outcomes, efficiency, and safety of robotic DBS.
• To synthesize evidence on the evolving role of robotic DBS in neurosurgery.

Main Methods:

• Comprehensive literature review of robotic DBS platforms.
• Analysis of targeting accuracy, clinical outcomes, workflow, and safety data.
• Comparison of robotic systems with traditional DBS approaches.

Main Results:

• Robotic targeting errors are consistently around 1 mm.
• Clinical outcomes (UPDRS-III scores, medication reduction) are comparable to traditional DBS.
• Robotic systems demonstrate enhanced procedural efficiency and reduced variability.
• Complication rates are within expected ranges for DBS procedures.

Conclusions:

• Robot-assisted DBS provides high precision and reproducibility for targeting deep brain structures.
• Robotic platforms enhance surgical efficiency and offer comparable clinical benefits to traditional DBS.
• Robotic DBS is an evolving and valuable tool in modern stereotactic and functional neurosurgery.