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Published on: June 9, 2023
Patient-to-robot registration: The fate of robot-assisted stereotaxy
Kathrin Machetanz1,2, Florian Grimm1,2, Sophie Wang1
1Department of Neurosurgery and Neurotechnology, Neurosurgical Clinic, Eberhard Karls University, Tuebingen, Germany.
Background:
Robot-assisted stereotaxy (RAS) promises higher stereotactic accuracy (SA) and time efficiency (TE) than frame-based stereotaxy. However, both aspects are attributed to the problem of patient-to-robot registration.
Objective:
To examine different registration techniques regarding their SA and TE.
Methods:
This study enrolled 57 patients undergoing RAS with bone fiducial registration (BFR) or laser surface registration (LSR). SA was measured by the entry point error (EPE). Additionally, predictors of SA (registration error [RegE], distance-to-registration plane [DTC]) and TE (imaging, skin-to-skin) were assessed.
Results:
The mean SA was 1.0 ± 0.8 mm. BFR increased SA by reducing RegE and DTC. In LSR, EPE depended on DTC (face and forehead) with highest accuracy for DTC ≤100 mm. CT-based LSR exerted a higher SA than MR-based LSR. In BFR, TE was confined by the additional imaging.
Conclusion:
Every registration technique counteracts one of the promises of RAS. New solutions are needed to increase the acceptance of RAS in neurosurgery.
