Vision-based tracking system for augmented reality to localize recurrent laryngeal nerve during robotic thyroid surgery.

Abstract:

:We adopted a vision-based tracking system for augmented reality (AR), and evaluated whether it helped surgeons to localize the recurrent laryngeal nerve (RLN) during robotic thyroid surgery. We constructed an AR image of the trachea, common carotid artery, and RLN using CT images. During surgery, an AR image of the trachea and common carotid artery were overlaid on the physical structures after they were exposed. The vision-based tracking system was activated so that the AR image of the RLN followed the camera movement. After identifying the RLN, the distance between the AR image of the RLN and the actual RLN was measured. Eleven RLNs (9 right, 4 left) were tested. The mean distance between the RLN AR image and the actual RLN was 1.9 ± 1.5 mm (range 0.5 to 3.7). RLN localization using AR and vision-based tracking system was successfully applied during robotic thyroidectomy. There were no cases of RLN palsy. This technique may allow surgeons to identify hidden anatomical structures during robotic surgery.

journal_name

Sci Rep

journal_title

Scientific reports

authors

Lee D,Yu HW,Kim S,Yoon J,Lee K,Chai YJ,Choi JY,Kong HJ,Lee KE,Cho HS,Kim HC

doi

10.1038/s41598-020-65439-6

subject

Has Abstract

pub_date

2020-05-21 00:00:00

pages

8437

issue

1

issn

2045-2322

pii

10.1038/s41598-020-65439-6

journal_volume

10

pub_type

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