Abstract

The accuracy of robot-assisted pedicle screw placement is unstable and remains controversial. The purpose of this study was to determine the risk factors for unsatisfactory Renaissance robot-assisted pedicle screw placement. This was a retrospective study of prospective data. From January 2017 to March 2018, 136 robot-assisted pedicle screw placements were performed in our department for spinal diseases, and a total of 874 screws were evaluated. All screws were assessed by the Gertzbein and Robbins classification. A and B were defined as satisfactory. C, D, and E were defined as unsatisfactory. Intraoperative registration failures due to nontechnical reasons or intraoperative adjustment were also defined as unsatisfactory. According to the evaluated results, the screws were divided into the satisfactory group (Group A) and the unsatisfactory group (Group B). The satisfactory rate was defined as satisfactory screws (the screws in Group A)/total screws, and the accurate rate was defined as accuracy screws (the screws in Group A)/the screws implanted by the robot (total screws - failed registration screws - screws adjusted during the operation). The age, sex, BMI, and BMD as well as the type of disease, the degree of vertebral rotation and the type of screw placement (percutaneous implantation or open implantation) were compared between the two groups, with the assessment of potential risk factors for unsatisfactory robot-assisted screw placement using logistic regression. A total of 874 screws were evaluated; there were 759 screws in Group A and 115 screws in Group B. The satisfactory rate was 86.8% (759/874), and the accuracy rate of the robot-placed screws was 94.4% (759/804). After logistic regression analysis, the independent risk factors were identified as obesity (OR 5.357 [95% CI 2.897–9.906], p < 0.01), osteoporosis, vertebral rotation and the presence of congenital scoliosis (OR 9.835 [95% CI 4.279–22.604], p < 0.01), particularly for severe osteoporosis (T < −3.5) and severe vertebral rotation (III-IV). According to the results of this study, obesity, osteoporosis and congenital scoliosis are risk factors for unsatisfactory robot-assisted screw placement. Furthermore, for surgeons in the initial stage of using a robot, we suggest avoiding cases in which a single risk factor or multiple risk factors exist to ensure the safety of the operation and to help augment the confidence of the surgeons.

Highlights

  • Since it was invented, the technique of pedicle screw fixation has been widely used in spinal fractures, spinal degenerative diseases, etc.; it is a milestone in the development of spinal surgery

  • The age, sex, BMI (BMI < 27 was defined as not obese, BMI ≥ 27 was defined as obese), and BMD (T > −2.5, 3.5 < T ≤ −2.5 and T ≤ −3.5) as well as the type of disease, whether or not there was revision surgery, the degree of vertebral rotation (Nash-Moe’s method; 0 was defined as no rotation, I-II was defined as mild rotation, and III-IV was defined as severe rotation) and the type of screw placement were compared between groups to assess potential risk factors

  • There were 31 failed registration screws in total, and 19 screws could not be registered in 2 patients with congenital scoliosis

Read more

Summary

Introduction

The technique of pedicle screw fixation has been widely used in spinal fractures, spinal degenerative diseases, etc.; it is a milestone in the development of spinal surgery. A meta-analysis by Marcus et al showed that robot-assisted placement did not show higher accuracy than free hand placement[4]. These results may be due to differences in the diseases. The spinal surgical robot is a semi-autonomous robot, and most steps of the procedure require manual operation by the surgeon. This procedure may affect the accuracy www.nature.com/scientificreports/. TM rospective analysis of the risk factors for failure of Renaissance (Renaissance , Mazor Robotics, Caesarea, Israel) robot-assisted pedicle screw placement

Objectives
Methods
Results
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call