Patient‐to‐robot registration: The fate of robot‐assisted stereotaxy
Kathrin Machetanz, Florian Grimm, Sophie Wang, Benjamin Bender, Marcos Tatagiba, Alireza Gharabaghi, Georgios Naros
- 发表年份
- 2021
- 引用次数
- 10
- 访问权限
- 开放获取
摘要
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.
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