Vakharia, VN;
Duncan, JS;
(2020)
Automation Advances in Stereoelectroencephalography Planning.
Neurosurgery Clinics of North America
10.1016/j.nec.2020.03.005.
(In press).
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Abstract
KEY POINTS: • Minimum requirements for computer-assisted planning algorithms are T1-weighted acquisition and a vascular image. • Automated planning improves the safety and efficiency metrics of SEEG trajectories, returning feasible plans in a fraction of the time required for manual planning. • Retrospective and prospective validation studies have returned performances that match manual expert planning when rated by external blinded experts. • Future developments within epilepsy surgery include automated laser interstitial thermal therapy trajectory planning and machine learning algorithms to improve generalizability.
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