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DOI 10.1002/rcs.2442

Медицинская библиотека · The international journal of medical robotics + computer assisted surgery : MRCAS · 2022

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

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

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Аннотация

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.

Для цитирования: Park Sangman, Kim Hyung Cheol, Jeong Yeongha, Kim Dongyun, Ryu Seungjae, Lee Seongpung, Cha Yongyeob, Hwang Sungteac, Woo Donggi, Kim Hongho, Shin Dong Ah, Ha Yoon, Kim Keung Nyun, Yoon Do Heum, Yi Seong. Novel C-arm-based planning robotic spinal surgery in a cadaver model using quantitative accuracy assessment methodology.. The international journal of medical robotics + computer assisted surgery : MRCAS. 2022. DOI: 10.1002/rcs.2442.

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