Neurosurgical robot-assistant stereoelectroencephalography system: Operability and accuracy

Area of Science:

• Neurosurgery
• Medical Robotics
• Epilepsy Research

Background:

• Functional neurosurgery demands high precision, posing challenges for traditional methods.
• Stereoelectroencephalography (SEEG) is crucial for epilepsy diagnosis and treatment planning.
• Existing SEEG techniques face limitations in accuracy and operability.

Purpose of the Study:

• To evaluate the operability, accuracy, and postoperative outcomes of robot-assisted SEEG in neurosurgery.
• To compare robot-assisted SEEG with conventional frame-based SEEG.
• To assess the safety and effectiveness of the SINO robot-assisted SEEG system.

Main Methods:

• Retrospective analysis of 24 epilepsy patients undergoing electrode implantation (2016-2019).
• Comparison between 20 patients using the SINO robot-assisted SEEG system and 8 patients using frame-SEEG.
• Data collected on accuracy, operative time, and postoperative complications.

Main Results:

• Robot-assisted SEEG demonstrated higher accuracy with smaller mean errors in entry and target points.
• Average electrode placement time was reduced with the robot-assisted system.
• No postoperative bleeding or infection occurred; minimal electrode displacement was observed in both groups.

Conclusions:

• The SINO robot-assisted SEEG system is safe, accurate, and mature for neurosurgical applications.
• Robot-assisted SEEG offers significant advantages over frame-based techniques for electrode implantation.
• This technology enhances precision and efficiency in functional neurosurgery for epilepsy management.