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

Sangman Park; Hyung Cheol Kim; Yeongha Jeong; Dongyun Kim; Seungjae Ryu; Seongpung Lee; Yongyeob Cha; Sungteac Hwang; Donggi Woo; Hongho Kim; Dong Ah Shin; Yoon Ha; Keung Nyun Kim; Do Heum Yoon; Seong Yi

doi:10.1002/rcs.2442

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

Sangman Park, Hyung Cheol Kim, Yeongha Jeong, Dongyun Kim, Seungjae Ryu, Seongpung Lee, Yongyeob Cha, Sungteac Hwang, Donggi Woo, Hongho Kim, Dong Ah Shin, Yoon Ha, Keung Nyun Kim, Do Heum Yoon, Seong Yi

Department of Neurosurgery

Research output: Contribution to journal › Article › peer-review

Abstract

Background: 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.

Original language	English
Article number	e2442
Journal	International Journal of Medical Robotics and Computer Assisted Surgery
Volume	18
Issue number	6
DOIs	https://doi.org/10.1002/rcs.2442
Publication status	Published - 2022 Dec

Bibliographical note

Funding Information:
This study was supported by the Small and Medium Business Administration (Republic of Korea) (grant/award number: S2519401); Curexo Inc., Republic of Korea (grant/award number: 2017‐31‐1035, 2019‐31‐0831); The Ministry of Trade, Industry & Energy, Republic of Korea (grant/award number: 10062712); Korea Institute for Robot Industry Advancement; and Domestic Medical Device Training Support Center, Ministry of Health and Welfare, and Korea Health Industry Development Institute.

Publisher Copyright:
© 2022 John Wiley & Sons Ltd.

All Science Journal Classification (ASJC) codes

Surgery
Biophysics
Computer Science Applications

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10.1002/rcs.2442

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Park, S., Kim, H. C., Jeong, Y., Kim, D., Ryu, S., Lee, S., Cha, Y., Hwang, S., Woo, D., Kim, H., Shin, D. A., Ha, Y., Kim, K. N., Yoon, D. H., & Yi, S. (2022). Novel C-arm-based planning robotic spinal surgery in a cadaver model using quantitative accuracy assessment methodology. International Journal of Medical Robotics and Computer Assisted Surgery, 18(6), [e2442]. https://doi.org/10.1002/rcs.2442

@article{aa59f4e7bea54c6f8fcf384c81bc410d,

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

abstract = "Background: 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.",

author = "Sangman Park and Kim, {Hyung Cheol} and Yeongha Jeong and Dongyun Kim and Seungjae Ryu and Seongpung Lee and Yongyeob Cha and Sungteac Hwang and Donggi Woo and Hongho Kim and Shin, {Dong Ah} and Yoon Ha and Kim, {Keung Nyun} and Yoon, {Do Heum} and Seong Yi",

note = "Funding Information: This study was supported by the Small and Medium Business Administration (Republic of Korea) (grant/award number: S2519401); Curexo Inc., Republic of Korea (grant/award number: 2017‐31‐1035, 2019‐31‐0831); The Ministry of Trade, Industry & Energy, Republic of Korea (grant/award number: 10062712); Korea Institute for Robot Industry Advancement; and Domestic Medical Device Training Support Center, Ministry of Health and Welfare, and Korea Health Industry Development Institute. Publisher Copyright: {\textcopyright} 2022 John Wiley & Sons Ltd.",

year = "2022",

month = dec,

doi = "10.1002/rcs.2442",

language = "English",

volume = "18",

journal = "International Journal of Medical Robotics and Computer Assisted Surgery",

issn = "1478-596X",

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number = "6",

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Park, S, Kim, HC, Jeong, Y, Kim, D, Ryu, S, Lee, S, Cha, Y, Hwang, S, Woo, D, Kim, H, Shin, DA , Ha, Y, Kim, KN, Yoon, DH & Yi, S 2022, 'Novel C-arm-based planning robotic spinal surgery in a cadaver model using quantitative accuracy assessment methodology', International Journal of Medical Robotics and Computer Assisted Surgery, vol. 18, no. 6, e2442. https://doi.org/10.1002/rcs.2442

TY - JOUR

T1 - Novel C-arm-based planning robotic spinal surgery in a cadaver model using quantitative accuracy assessment methodology

AU - Park, Sangman

AU - Kim, Hyung Cheol

AU - Jeong, Yeongha

AU - Kim, Dongyun

AU - Ryu, Seungjae

AU - Lee, Seongpung

AU - Cha, Yongyeob

AU - Hwang, Sungteac

AU - Woo, Donggi

AU - Kim, Hongho

AU - Shin, Dong Ah

AU - Ha, Yoon

AU - Kim, Keung Nyun

AU - Yoon, Do Heum

AU - Yi, Seong

N1 - Funding Information: This study was supported by the Small and Medium Business Administration (Republic of Korea) (grant/award number: S2519401); Curexo Inc., Republic of Korea (grant/award number: 2017‐31‐1035, 2019‐31‐0831); The Ministry of Trade, Industry & Energy, Republic of Korea (grant/award number: 10062712); Korea Institute for Robot Industry Advancement; and Domestic Medical Device Training Support Center, Ministry of Health and Welfare, and Korea Health Industry Development Institute. Publisher Copyright: © 2022 John Wiley & Sons Ltd.

PY - 2022/12

Y1 - 2022/12

N2 - Background: 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.

AB - Background: 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.

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U2 - 10.1002/rcs.2442

DO - 10.1002/rcs.2442

M3 - Article

C2 - 35923117

AN - SCOPUS:85136512850

SN - 1478-596X

VL - 18

JO - International Journal of Medical Robotics and Computer Assisted Surgery

JF - International Journal of Medical Robotics and Computer Assisted Surgery

IS - 6

M1 - e2442

ER -

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

Abstract

Bibliographical note

All Science Journal Classification (ASJC) codes

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