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Risk Factors of Unsatisfactory Robot-Assisted Pedicle Screw Placement: A Case-Control Study
Neurospine. 2021;18(4):839-844.   Published online December 31, 2021
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Risk Factors of Unsatisfactory Robot-Assisted Pedicle Screw Placement: A Case-Control Study
Neurospine. 2021;18(4):839-844.   Published online December 31, 2021
Close
Objective
To identify potential risk factors of unsatisfactory screw position during robot-assisted pedicle screw fixation.
Methods
A retrospective analysis of robot-assisted pedicle screw fixation performed in Beijing Jishuitan Hospital from March 2018 to March 2019 was conducted. Research data was collected from the medical record and imaging systems. Univariate tests were performed on the potential risk factors (patient’s characteristics and surgical factors) of unsatisfactory screw position during robot-assisted pedicle screw fixation. For statistically significant variables in univariate tests, a logistic regression test was used to identify independent risk factors for unsatisfactory screw position.
Results
A total of 780 pedicle screws placed in 163 robot-assisted surgeries were analyzed. The rate of perfect screw positions was 93.08%, and the unsatisfactory rate was 6.92%. In patients with severe obesity (body mass index ≥ 30 kg/m2) (odds ratio [OR], 2.459; 95% confidence interval [CI], 1.199–5.044; p = 0.014), osteoporosis (T ≤ -2.5) (OR, 1.857; 95% CI, 1.046–3.295; p = 0.034), and the segments 3 levels away from the tracker (OR, 2.216; 95% CI, 1.119–4.387; p = 0.022), robot-assisted pedicle screw placement has a higher risk of screw malposition.
Conclusion
During robot-assisted pedicle screw placement for patients with severe obesity, osteoporosis, and segments 3 levels away from the tracker, vigilance should be maintained during surgery to avoid postoperative complications due to unsatisfactory screw position.

Citations

Citations to this article as recorded by  Crossref logo
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    Brain and Spine.2026; 6: 105959.     CrossRef
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  • Factors causing deviation of robot-assisted pedicle screw placement for adolescent idiopathic scoliosis: why does deviation still occur even with robotics?
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    European Spine Journal.2025; 34(7): 2714.     CrossRef
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    Journal of Clinical Medicine.2025; 14(13): 4463.     CrossRef
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    Trice A. Pickens, Cade F. Bennett, Daniel E. Herrera, Wellington K. Hsu, Srikanth N. Divi, Alpesh A. Patel
    Contemporary Spine Surgery.2025; 26(9): 1.     CrossRef
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    S. Vidyadhara, R Dinesh Iyer, Abhishek Soni, T. Balamurugan, Dhiyanesh Krishnamurthy
    Journal of Robotic Surgery.2025;[Epub]     CrossRef
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    Tianci Yang, Beixi Bao, Hui Yan, Yuxuan Wu, Xiaokang Cheng, Chunyang Xu, Yang Ye, Haoran Zhang, Jiaguang Tang
    BMC Surgery.2025;[Epub]     CrossRef
  • A Retrospective Cohort Study Comparing Robot-Assisted and Conventional Fluoroscopy-Guided Pedicle Screw Placement
    Hassan Seif, Emanuele Maragno, Marco Gallus, Szabolcs Szeöke, Michael Schwake
    Journal of Clinical Medicine.2025; 14(19): 6831.     CrossRef
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    Rui Yang, Kui Wang, Weilin Li, Jiajun Feng, Jian Jiang, Yuefeng Sun, Hong Wang
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  • Accuracy and clinical characteristics of robot-assisted cervical spine surgery: a systematic review and meta-analysis
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    International Orthopaedics.2024; 48(7): 1903.     CrossRef
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    Lu-Ping Zhou, Zhi-Gang Zhang, Dui Li, Shu Fang, Rui Sheng, Ren-Jie Zhang, Cai-Liang Shen
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    Meng Yi, Jipeng Song, Yao Zhang, Wancheng Lin, Mingtao Yao, Yuyu Fan, Lixiang Ding
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    Orthopaedic Surgery.2023; 15(9): 2260.     CrossRef
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    Tejas Subramanian, Daniel Shinn, Pratyush Shahi, Izzet Akosman, Troy Amen, Omri Maayan, Eric Zhao, Kasra Araghi, Junho Song, Sidhant Dalal, James Dowdell, Sravisht Iyer, Sheeraz Qureshi
    Neurospine.2023; 20(3): 890.     CrossRef
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    Byeong-Jin Ha, Jong-Min Lee, Seon-Jin Yoon, Byung-Kwan Kim, Junseok Lee, Suhun Lee, Seungjae Ryu, Yongyeob Cha, Sungteac Hwang, Donggi Woo, Chang Kyu Lee, Dong Ah Shin, Yoon Ha, Sung Uk Kuh, Keung Nyun Kim, Dongwuk Son, Seong Yi
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    Neurospine.2023; 20(4): 1256.     CrossRef
  • Posterior atlantoaxial internal fixation using Harms technique assisted by 3D-based navigation robot for treatment of atlantoaxial instability
    Zhao Lang, Xiaoguang Han, Mingxing Fan, Yajun Liu, Da He, Wei Tian
    BMC Surgery.2022;[Epub]     CrossRef
  • Comparison of accuracy and safety between second-generation TiRobot-assisted and free-hand thoracolumbar pedicle screw placement
    Kai Yan, Qi Zhang, Wei Tian
    BMC Surgery.2022;[Epub]     CrossRef
  • Development and Clinical Trial of a New Orthopedic Surgical Robot for Positioning and Navigation
    Jie Chang, Lipeng Yu, Qingqing Li, Boyao Wang, Lei Yang, Min Cheng, Feng Wang, Long Zhang, Lei Chen, Kun Li, Liang Liang, Wei Zhou, Weihua Cai, Yongxin Ren, Zhiyi Hu, Zhenfei Huang, Tao Sui, Jin Fan, Junwen Wang, Bo Li, Xiaojian Cao, Guoyong Yin
    Journal of Clinical Medicine.2022; 11(23): 7091.     CrossRef
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Telerobotic Spinal Surgery Based on 5G Network: The First 12 Cases
Neurospine. 2020;17(1):114-120.   Published online March 31, 2020
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Telerobotic Spinal Surgery Based on 5G Network: The First 12 Cases
Neurospine. 2020;17(1):114-120.   Published online March 31, 2020
Close
Objective
The purpose of this study was to determine the efficacy and feasibility of 5th generation wireless systems (5G) telerobotic spinal surgery in our first 12 cases.
Methods
A total of 12 patients (5 males, 7 females; age, 23–71 years) with spinal disorders (4 thoracolumbar fractures, 6 lumbar spondylolisthesis, 2 lumbar stenosis) were treated with 5G telerobotic spinal surgery. Sixty-two pedicle screws were implanted.
Results
All patients had substantial relief from their symptoms. Screw placements were classified using Gertzbein-Robbins criteria. There were 59 grade A, 3 grade B. Mean operation time was 142.5 ± 46.7 minutes. Mean guiding wire insertion time was 41.3 ± 9.8 minutes. The deviation between the planned and actual positions was 0.76 ± 0.49 mm. No intraoperative adverse event was found.
Conclusion
5G remote robot-assisted spinal surgery is accurate and reliable. We conclude that 5G telerobotic spinal surgery is both efficacious and feasible for the management of spinal diseases with safety.

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APCSS special Topic-Craniovertebral Junction Surgery

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Independent Correlation of the C1–2 Cobb Angle With Patient-Reported Outcomes After Correcting Chronic Atlantoaxial Instability
Neurospine. 2019;16(2):267-276.   Published online June 30, 2019
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Independent Correlation of the C1–2 Cobb Angle With Patient-Reported Outcomes After Correcting Chronic Atlantoaxial Instability
Neurospine. 2019;16(2):267-276.   Published online June 30, 2019
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Objective
To investigate three-planar radiographic results and patient-reported outcomes (PROs) after correcting chronic atlantoaxial instability (AAI) by translaminar screw (TLS) and pedicle screw (PS) fixation, and to explore the potential association of atlantoaxial realignment with PRO improvements.
Methods
Twenty-three patients who underwent C1 lateral mass screw (LMS)-C2 TLS and 29 who underwent C1 LMS-C2 PS with ≥ 2 years of follow-up were retrospectively analyzed. Three-planar (sagittal, coronal, and axial) radiographic parameters were measured. PROs including the Neck Disability Index (NDI), Japanese Orthopaedic Association (JOA) score and the Short Form 36 Physical Component Summary (SF-36 PCS) were documented. Factors potentially associated with PROs were identified.
Results
The radiographic parameters significantly changed postoperatively except the C1–2 midlines’ intersection angle in the TLS group (p = 0.073) and posterior atlanto-dens interval in both groups (p = 0.283, p = 0.271, respectively). The difference in bilateral odontoid lateral mass interspaces at last follow-up was better corrected in the TLS group than in the PS group (p = 0.010). Postoperative PROs had significantly improved in both groups (all p < 0.05). Thereinto, NDI at last follow-up was significantly lower in the TLS group compared with PS group (p = 0.013). In addition, blood loss and operative time were obviously lesser in TLS group compared with PS group (p = 0.010, p = 0.004, respectively). Multivariable regression analysis revealed that a change in C1–2 Cobb angle was independently correlated to PROs improvement (NDI: β = -0.435, p = 0.003; JOA score: β = 0.111, p = 0.033; SF-36 PCS: β = 1.013, p = 0.024, respectively), also age ≤ 40 years was independently associated with NDI (β = 5.40, p = 0.002).
Conclusion
Three-planar AAI should be reconstructed by C1 LMS-C2 PS fixation, while sagittal or coronal AAI could be corrected by C1 LMS-C2 TLS fixation. PROs may improve after atlantoaxial reconstruction in patients with chronic AAI. The C1–2 Cobb angle is an independent predictor of PROs after correcting chronic AAI, as is age ≤ 40 years for postoperative NDI.

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