Vision-based tracking system for augmented reality to localize recurrent laryngeal nerve during robotic thyroid surgery
| Autor: | Jin Yoon, Seunglee Kim, Keunchul Lee, Hwan Seong Cho, Hyoun-Joong Kong, Dongheon Lee, Young Jun Chai, Hee Chan Kim, Hyeong Won Yu, Kyu Eun Lee, June Young Choi |
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| Rok vydání: | 2020 |
| Předmět: |
Nervous system
Adult Male 0209 industrial biotechnology medicine.medical_specialty medicine.medical_treatment lcsh:Medicine 02 engineering and technology Article 03 medical and health sciences 020901 industrial engineering & automation 0302 clinical medicine Robotic Surgical Procedures medicine.artery medicine Recurrent laryngeal nerve Humans Robotic surgery Prospective Studies Thyroid Neoplasms Common carotid artery lcsh:Science Augmented Reality Multidisciplinary Palsy Recurrent Laryngeal Nerve business.industry lcsh:R Thyroid Thyroidectomy Tracking system Middle Aged Prognosis Surgery medicine.anatomical_structure Surgery Computer-Assisted Thyroid Cancer Papillary 030220 oncology & carcinogenesis Recurrent Laryngeal Nerve Injuries Female lcsh:Q Augmented reality business Biomedical engineering Follow-Up Studies |
| Zdroj: | Scientific Reports, Vol 10, Iss 1, Pp 1-7 (2020) Scientific Reports |
| ISSN: | 2045-2322 |
| DOI: | 10.1038/s41598-020-65439-6 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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