Evidence map›Paper›PMID 30505820›Full record

ArticleAnnals of surgical treatment and research2018

Preliminary study on application of augmented reality visualization in robotic thyroid surgery.

Dongheon Lee, Hyoun-Joong Kong, Donguk Kim, Jin Wook Yi, Young Jun Chai, Kyu Eun Lee, Hee Chan Kim

Abstract read
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Article in Annals of surgical treatment and research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

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6citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Dongheon LeeInterdisciplinary Program, Bioengineering Major, Graduate School, Seoul National University, Seoul, Korea.
Hyoun-Joong KongDepartment of Biomedical Engineering, Chungnam National University Hospital, Chungnam National University College of Medicine, Daejeon, Korea.
Donguk KimDepartment of Biomedical Engineering, Seoul National University Hospital, Seoul, Korea.
Jin Wook YiDepartment of Surgery, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea.
Young Jun ChaiDepartment of Surgery, Seoul Metropolitan Government - Seoul National University Boramae Medical Center, Seoul, Korea.ORCID https://orcid.org/0000-0001-8830-3433
Kyu Eun LeeDepartment of Surgery, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea.
Hee Chan KimDepartment of Biomedical Engineering, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeIncreased robotic surgery is attended by increased reports of complications, largely due to limited operative view and lack of tactile sense. These kinds of obstacles, which seldom occur in open surgery, are challenging for beginner surgeons. To enhance robotic surgery safety, we created an augmented reality (AR) model of the organs around the thyroid glands, and tested the AR model applicability in robotic thyroidectomy.

methodsWe created AR images of the thyroid gland, common carotid arteries, trachea, and esophagus using preoperative CT images of a thyroid carcinoma patient. For a preliminary test, we overlaid the AR images on a 3-dimensional printed model at five different angles and evaluated its accuracy using Dice similarity coefficient. We then overlaid the AR images on the real-time operative images during robotic thyroidectomy.

resultsThe Dice similarity coefficients ranged from 0.984 to 0.9908, and the mean of the five different angles was 0.987. During the entire process of robotic thyroidectomy, the AR images were successfully overlaid on the real-time operative images using manual registration.

conclusionWe successfully demonstrated the use of AR on the operative field during robotic thyroidectomy. Although there are currently limitations, the use of AR in robotic surgery will become more practical as the technology advances and may contribute to the enhancement of surgical safety.

Indexed as

Augmented realityComputed-assisted surgeryRobotic surgical proceduresThyroidectomyThyroid neoplasms

Identifiers

PMID30505820
PMCPMC6255749

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.