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Novel C-arm-based planning robotic spinal surgery in a cadaver model using quantitative accuracy assessment methodology

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dc.contributor.author박상만-
dc.contributor.author신동아-
dc.contributor.author이성-
dc.contributor.author하윤-
dc.contributor.author김긍년-
dc.contributor.author윤도흠-
dc.contributor.author김형철-
dc.contributor.author정영하-
dc.date.accessioned2022-12-22T05:18:53Z-
dc.date.available2022-12-22T05:18:53Z-
dc.date.issued2022-12-
dc.identifier.issn1478-5951-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/192361-
dc.description.abstractBackground: This preclinical study emulating the clinical environment quantitatively analysed the accuracy of pedicle screw insertion using a navigated robotic system. Methods: Pedicle screws were placed from T7 to L5 in the whole-body form of a cadaver. After the insertion of multiple artificial markers into each vertebra, errors between the planned insertion path and the inserted screw were quantified using the Gertzbein-Robbins system (GRS) and offset calculation. Results: A total of 22 screws were placed. Almost all (95.45% [21/22]) were classified as GRS A or B, while one (4.55%) was GRS C. The mean and standard deviations of entry, tip, and angular offset were 1.78 ± 0.94 mm, 2.30 ± 1.01 mm, and 2.64 ± 1.05°, respectively. Conclusions: This study demonstrated that pedicle screw insertion using a navigated robotic system had high accuracy and safety. A future clinical study is necessary to validate our findings.-
dc.description.statementOfResponsibilityrestriction-
dc.languageEnglish-
dc.publisherWiley-
dc.relation.isPartOfINTERNATIONAL JOURNAL OF MEDICAL ROBOTICS AND COMPUTER ASSISTED SURGERY-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.subject.MESHCadaver-
dc.subject.MESHHumans-
dc.subject.MESHPedicle Screws*-
dc.subject.MESHRetrospective Studies-
dc.subject.MESHRobotic Surgical Procedures* / methods-
dc.subject.MESHSpinal Fusion* / methods-
dc.subject.MESHSpine / surgery-
dc.subject.MESHSurgery, Computer-Assisted* / methods-
dc.titleNovel C-arm-based planning robotic spinal surgery in a cadaver model using quantitative accuracy assessment methodology-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentDept. of Neurosurgery (신경외과학교실)-
dc.contributor.googleauthorSangman Park-
dc.contributor.googleauthorHyung Cheol Kim-
dc.contributor.googleauthorYeongha Jeong-
dc.contributor.googleauthorDongyun Kim-
dc.contributor.googleauthorSeungjae Ryu-
dc.contributor.googleauthorSeongpung Lee-
dc.contributor.googleauthorYongyeob Cha-
dc.contributor.googleauthorSungteac Hwang-
dc.contributor.googleauthorDonggi Woo-
dc.contributor.googleauthorHongho Kim-
dc.contributor.googleauthorDong Ah Shin-
dc.contributor.googleauthorYoon Ha-
dc.contributor.googleauthorKeung Nyun Kim-
dc.contributor.googleauthorDo Heum Yoon-
dc.contributor.googleauthorSeong Yi-
dc.identifier.doi10.1002/rcs.2442-
dc.contributor.localIdA06021-
dc.contributor.localIdA02092-
dc.contributor.localIdA02864-
dc.contributor.localIdA04255-
dc.contributor.localIdA00331-
dc.contributor.localIdA02546-
dc.relation.journalcodeJ01130-
dc.identifier.eissn1478-596X-
dc.identifier.pmid35923117-
dc.identifier.urlhttps://onlinelibrary.wiley.com/doi/10.1002/rcs.2442-
dc.subject.keywordC-arm image-
dc.subject.keywordcadaveric study-
dc.subject.keywordnavigated robotic system-
dc.subject.keywordpedicle screw placement-
dc.subject.keywordspine surgery-
dc.contributor.alternativeNamePark, Sang Man-
dc.contributor.affiliatedAuthor박상만-
dc.contributor.affiliatedAuthor신동아-
dc.contributor.affiliatedAuthor이성-
dc.contributor.affiliatedAuthor하윤-
dc.contributor.affiliatedAuthor김긍년-
dc.contributor.affiliatedAuthor윤도흠-
dc.citation.volume18-
dc.citation.number6-
dc.citation.startPagee2442-
dc.identifier.bibliographicCitationINTERNATIONAL JOURNAL OF MEDICAL ROBOTICS AND COMPUTER ASSISTED SURGERY, Vol.18(6) : e2442, 2022-12-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Neurosurgery (신경외과학교실) > 1. Journal Papers

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