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Trends in usage of navigation and robotic assistance in elective spine surgeries: a study of 105,212 cases from 2007 to 2015

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Abstract

Objective

Identify trends of navigation and robotic-assisted elective spine surgeries.

Methods

Elective spine surgery patients between 2007 and 2015 in the Nationwide Inpatient Sample (NIS) were isolated by ICD-9 codes for Navigation [Nav] or Robotic [Rob]-Assisted surgery. Basic demographics and surgical variables were identified via chi-squared and t tests. Each system was analyzed from 2007 to 2015 for trends in usage.

Results

Included 3,759,751 patients: 100,488 Nav; 4724 Rob. Nav were younger (56.7 vs 62.7 years), had lower comorbidity index (1.8 vs 6.2, all p < 0.05), more decompressions (79.5 vs 42.6%) and more fusions (60.3 vs 52.6%) than Rob. From 2007 to 2015, incidence of complication increased for Nav (from 5.8 to 21.7%) and Rob (from 3.3 to 18.4%) as well as 2–3 level fusions (from 50.4 to 52.5%) and (from 1.3 to 3.2%); respectively. Invasiveness increased for both (Rob: from 1.7 to 2.2; Nav: from 3.7 to 4.6). Posterior approaches (from 27.4 to 41.3%), osteotomies (from 4 to 7%), and fusions (from 40.9 to 54.2%) increased in Rob. Anterior approach for Rob decreased from 14.9 to 14.4%. Nav increased posterior (from 51.5% to 63.9%) and anterior approaches (from 16.4 to 19.2%) with an increase in osteotomies (from 2.1 to 2.7%) and decreased decompressions (from 73.6 to 63.2%).

Conclusions

From 2007 to 2015, robotic and navigation systems have been performed on increasingly invasive spine procedures. Robotic systems have shifted from anterior to posterior approaches, whereas navigation computer-assisted procedures have decreased in rates of usage for decompression procedures.

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Data availability

The data used in this study is publicly available.

References

  1. Ahern DP, Gibbons D, Schroeder GD, Vaccaro AR, Butler JS. 2019 Spine Surgery, p.1-6

  2. Souza MD, Gendreau J, Feng A, Kim LH, Ho AL (2019) Robotic-assisted spine surgery : history, efficacy, cost, and future trends. Robot Surg 2019:9–23

    Google Scholar 

  3. Virk S, Qureshi S (2019) Navigation in minimally invasive spine surgery. J Spine Surg 5(S1):S25–S30. https://doi.org/10.21037/jss.2019.04.23

    Article  PubMed  PubMed Central  Google Scholar 

  4. Jiang B, Pennington Z, Azad T et al (2020) Robot-assisted versus freehand instrumentation in short-segment lumbar fusion: experience with real-time image-guided spinal robot. World Neurosurg 136:e635–e645. https://doi.org/10.1016/j.wneu.2020.01.119

    Article  PubMed  Google Scholar 

  5. Le Feng X, Shi Z, Wang long Q, Xu feng Y, Zhao wei J, Tian W (2020) Rate and risk factors of superior facet joint violation during cortical bone trajectory screw placement a comparison of robot-assisted approach with a conventional technique. Orthop Surg 12(1):133–140. https://doi.org/10.1111/os.12598

    Article  Google Scholar 

  6. Costa F, Cardia A, Ortolina A, Fabio G, Zerbi A, Fornari M (2011) Spinal navigation: Standard preoperative versus intraoperative computed tomography data set acquisition for computer-guidance system: radiological and clinical study in 100 consecutive patients. Spine 36(24):2094–2098. https://doi.org/10.1097/BRS.0b013e318201129d

    Article  PubMed  Google Scholar 

  7. Heary RF (2012) Editorial: pedicle screw navigation. J Neurosurg Spine 17(2):111–112. https://doi.org/10.3171/2012.3.spine111098

    Article  PubMed  Google Scholar 

  8. Overley SC, Cho SK, Mehta AI, Arnold PM (2017) Navigation and robotics in spinal surgery : where are we now ? Neurosurgery. https://doi.org/10.1093/neuros/nyw077

    Article  PubMed  Google Scholar 

  9. Menger RP, Savardekar AR, Farokhi F, Sin A (2018) A cost-effectiveness analysis of the integration of robotic spine technology in spine surgery. Neurospine 15(3):216–224. https://doi.org/10.14245/ns.1836082.041

    Article  PubMed  PubMed Central  Google Scholar 

  10. Lieberman IH, Hardenbrook MA, Wang JC, Guyer RD (2012) Assessment of pedicle screw placement accuracy, procedure time, and radiation exposure using a miniature robotic guidance. System 25(5):241–248

    Google Scholar 

  11. Yu L, Chen X, Margalit A, Peng H, Qiu G, Qian W (2018) Robot-assisted vs freehand pedicle screw fixation in spine surgery - a systematic review and a meta-analysis of comparative studies. Int J Med Robot Comput Assist Surg. 14(3):e1892. https://doi.org/10.1002/rcs.1892

    Article  Google Scholar 

  12. Keric N, Doenitz C, Haj A et al (2017) Evaluation of robot-guided minimally invasive implantation of 2067 pedicle screws. Neurosurg Focus 42(5):E11. https://doi.org/10.3171/2017.2.FOCUS16552

    Article  PubMed  Google Scholar 

  13. Wood MJ, McMillen J (2014) The surgical learning curve and accuracy of minimally invasive lumbar pedicle screw placement using CT based computer-assisted navigation plus continuous electromyography monitoring - a retrospective review of 627 screws in 150 patients. Int J Spine Surg 8:27. https://doi.org/10.14444/1027

    Article  PubMed  PubMed Central  Google Scholar 

  14. Kim TT, Johnson JP, Pashman R, Drazin D (2016) Minimally invasive spinal surgery with intraoperative image-guided navigation. Biomed Res Int. https://doi.org/10.1155/2016/5716235

    Article  PubMed  PubMed Central  Google Scholar 

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Authors and Affiliations

Authors

Contributions

PGP has been a paid consultant for terumo, spinewave, globus medical and medicrea, has received research support from the Cervical Scoliosis Research Society and Allosource, and has been a paid presenter for Globus Medical and Zimmer. BN has received research support from DePuy, A Johnson & Johnson Company and has been a paid presenter for Medtronic. DS has been a paid consultant for Baxter, K2M, Medtronic, DePuy, A Johnson & Johnson Company, Nuvasive, and Stryker. Amit Jain MD has received research support from DePuy, A Johnson & Johnson Company and has been a paid consultant for Stryker.

Corresponding author

Correspondence to Peter Passias.

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The authors have not disclosed any competing interests.

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Institutional Review Board was waived, as this study uses a de-identified nationwide database.

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Naessig, S., Para, A., Kummer, N. et al. Trends in usage of navigation and robotic assistance in elective spine surgeries: a study of 105,212 cases from 2007 to 2015. J Robotic Surg 17, 2855–2860 (2023). https://doi.org/10.1007/s11701-023-01682-z

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Keywords

Navigation