Robotic spine surgery: a review of the present status

Kalidindi, Kalyan Kumar Varma; Sharma, Jeevan Kumar; Jagadeesh, N.; Sath, Sulaiman; Chhabra, Harvinder Singh

doi:10.1080/03091902.2020.1799098

Cited by 16 publications

(8 citation statements)

References 41 publications

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“…An extensive number of peer reviewed journal publications have documented the use, efficacy safety and technical accuracy achieved with robotic-assisted spinal surgery. 23 , 28 , 30 , 37 , 39 - 41 , 44 - 46 , 93 - 123 The focus in reviewing these publications was to highlight the technical accuracy observations and determine a basis for discrepancy between planned versus actual final implant position based on postoperative CT images. In case studies where quantitative measurements were not reported, the Gertzbein and Robbins 124 score (GRS) was adopted to calculate pedicle screw implant position.…”

Section: Resultsmentioning

confidence: 99%

Comparative Analysis of Optoelectronic Accuracy in the Laboratory Setting Versus Clinical Operative Environment: A Systematic Review

Cunningham

Brooks

2022

Global Spine Journal

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Study Design: Systematic review. Objectives: The optoelectronic camera source and data interpolation process serve as the foundation for navigational integrity in robotic-assisted surgical platforms. The current systematic review serves to provide a basis for the numerical disparity observed when comparing the intrinsic accuracy of optoelectronic cameras versus accuracy in the laboratory setting and clinical operative environments. Methods: Review of the PubMed and Cochrane Library research databases was performed. The exhaustive literature compilation obtained was then vetted to reduce redundancies and categorized into topics of intrinsic accuracy, registration accuracy, musculoskeletal kinematic platforms, and clinical operative platforms. Results: A total of 465 references were vetted and 137 comprise the basis for the current analysis. Regardless of application, the common denominators affecting overall optoelectronic accuracy are intrinsic accuracy, registration accuracy, and application accuracy. Intrinsic accuracy equaled or was less than 0.1 mm translation and 0.1 degrees rotation per fiducial. Controlled laboratory platforms reported 0.1 to 0.5 mm translation and 0.1 to 1.0 degrees rotation per array. Accuracy in robotic-assisted spinal surgery reported 1.5 to 6.0 mm translation and 1.5 to 5.0 degrees rotation when comparing planned to final implant position. Conclusions: Navigational integrity and maintenance of fidelity of optoelectronic data is the cornerstone of robotic-assisted spinal surgery. Transitioning from controlled laboratory to clinical operative environments requires an increased number of steps in the optoelectronic kinematic chain and error potential. Diligence in planning, fiducial positioning, system registration and intra-operative workflow have the potential to improve accuracy and decrease disparity between planned and final implant position.

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Section: Resultsmentioning

confidence: 99%

Comparative Analysis of Optoelectronic Accuracy in the Laboratory Setting Versus Clinical Operative Environment: A Systematic Review

Cunningham

Brooks

2022

Global Spine Journal

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“…In the twenty-first century, technological advancements have been pursued to improve surgical accuracy and consistency. 46 Improvement in patient outcome and efficient allocation of hospital resources served as motivators in developing spine robots. 47 SpineAssist and Renaissance were two of the pioneering systems that initiated the use of robotics for pedicle screw placement in spine surgery.…”

Section: Discussionmentioning

confidence: 99%

A Comparison of Spinal Robotic Systems and Pedicle Screw Accuracy Rates: Review of Literature and Meta-Analysis

et al. 2022

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Introduction The motivation to improve accuracy and reduce complication rates in spinal surgery has driven great advancements in robotic surgical systems, with the primary difference between the newer generation and older generation models being the presence of an optical camera and multijointed arm. This study compares accuracy and complication rates of pedicle screw placement in older versus newer generation robotic systems reported in the literature. Methods We performed a systemic review and meta-analysis describing outcomes of pedicle screw placement with robotic spine surgery. We assessed the robustness of these findings by quantifying levels of cross-study heterogeneity and publication bias. Finally, we performed meta-regression to test for associations between pedicle screw accuracy and older versus newer generation robotic spine system usage. Results Average pedicle screw placement accuracy rates for old and new generation robotic platforms were 97 and 99%, respectively. Use of new generation robots was significantly associated with improved pedicle screw placement accuracy (p = 0.03). Conclusion Accuracy of pedicle screw placement was high across all generations of robotic surgical systems. However, newer generation robots were shown to be significantly associated with accurate pedicle screw placement, showing the benefits of upgrading robotic systems with a real-time optical camera and multijointed arm.

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“…In this role, robots act as a coautonomous system to help establish the optimal placement of stabilizing hardware, guiding the surgeon who ultimately places the screw. 4,32,37 In this work, we will impart focus on the current status of clinical results obtained using RGSS for ASD correction.…”

Section: Robotic-guided Spinal Surgery 1 Role Of Robotics In Spine Surgery Planning and Executionmentioning

confidence: 99%

Emerging Technologies in the Treatment of Adult Spinal Deformity

et al. 2021

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Outcomes for adult spinal deformity continue to improve as new technologies become integrated into clinical practice. Machine learning, robot-guided spinal surgery, and patientspecific rods are tools that are being used to improve preoperative planning and patient satisfaction. Machine learning can be used to predict complications, readmissions, and generate postoperative radiographs which can be shown to patients to guide discussions about surgery. Robot-guided spinal surgery is a rapidly growing field showing signs of greater accuracy in screw placement during surgery. Patient-specific rods offer improved outcomes through higher correction rates and decreased rates of rod breakage while decreasing operative time. The objective of this review is to evaluate trends in the literature about machine learning, robot-guided spinal surgery, and patient-specific rods in the treatment of adult spinal deformity.

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Robotic spine surgery: a review of the present status

Cited by 16 publications

References 41 publications

Comparative Analysis of Optoelectronic Accuracy in the Laboratory Setting Versus Clinical Operative Environment: A Systematic Review

Comparative Analysis of Optoelectronic Accuracy in the Laboratory Setting Versus Clinical Operative Environment: A Systematic Review

A Comparison of Spinal Robotic Systems and Pedicle Screw Accuracy Rates: Review of Literature and Meta-Analysis

Emerging Technologies in the Treatment of Adult Spinal Deformity

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