Automation Advances in Stereoelectroencephalography Planning.

Area of Science:

• Neurosurgery
• Neurology
• Medical Imaging

Background:

• Intracranial electroencephalography (iEEG) methods have shifted towards stereoelectroencephalography (SEEG).
• SEEG involves direct electrode insertion through the skull, differing from surface-based methods like grids and strips.
• Traditional SEEG planning is complex, multidisciplinary, and time-consuming.

Purpose of the Study:

• To provide an overview of implementing automated computer-assisted planning for SEEG.
• To discuss considerations, controversies, and practicalities of this technology.

Main Methods:

• Review of current SEEG planning practices.
• Discussion of computer-assisted planning principles and benefits.
• Exploration of implementation challenges and solutions.

Main Results:

• Computer-assisted planning shows potential to improve SEEG trajectory planning time and efficacy.
• Automation can streamline the iterative and multidisciplinary planning process.
• Key considerations for implementation include software, hardware, and workflow integration.

Conclusions:

• Automated computer-assisted planning offers a promising solution for optimizing SEEG procedures.
• Addressing practicalities and controversies is crucial for successful adoption.
• This technology can enhance the efficiency and effectiveness of SEEG in clinical practice.