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Warning navigation system using real-time safe region monitoring for otologic surgery.

Authors :
Cho B
Oka M
Matsumoto N
Ouchida R
Hong J
Hashizume M
Source :
International journal of computer assisted radiology and surgery [Int J Comput Assist Radiol Surg] 2013 May; Vol. 8 (3), pp. 395-405. Date of Electronic Publication: 2012 Nov 16.
Publication Year :
2013

Abstract

Purpose: We developed a surgical navigation system that warns the surgeon with auditory and visual feedback to protect the facial nerve with real-time monitoring of the safe region during drilling.<br />Methods: Warning navigation modules were developed and integrated into a free open source software platform. To obtain high registration accuracy, we used a high-precision laser-sintered template of the patient's bone surface to register the computed tomography (CT) images. We calculated the closest distance between the drill tip and the surface of the facial nerve during drilling. When the drill tip entered the safe regions, the navigation system provided an auditory and visual signal which differed in each safe region. To evaluate the effectiveness of the system, we performed phantom experiments for maintaining a given safe margin from the facial nerve when drilling bone models, with and without the navigation system. The error of the safe margin was measured on postoperative CT images. In real surgery, we evaluated the feasibility of the system in comparison with conventional facial nerve monitoring.<br />Results: The navigation accuracy was submillimeter for the target registration error. In the phantom study, the task with navigation ([Formula: see text] mm) was more successful with smaller error, than the task without navigation ([Formula: see text] mm, [Formula: see text]). The clinical feasibility of the system was confirmed in three real surgeries.<br />Conclusions: This system could assist surgeons in preserving the facial nerve and potentially contribute to enhanced patient safety in the surgery.

Details

Language :
English
ISSN :
1861-6429
Volume :
8
Issue :
3
Database :
MEDLINE
Journal :
International journal of computer assisted radiology and surgery
Publication Type :
Academic Journal
Accession number :
23161169
Full Text :
https://doi.org/10.1007/s11548-012-0797-z