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A novel fluoroscopy‐based robot system for pedicle screw fixation surgery

Yanzhong Luo, Zhuofu Li, Shuai Jiang, Lei Hu, Wenyong Liu

Year
2020
Citations
10

Abstract

BACKGROUND: Robot-assisted pedicle screw insertion has gained popularity in the spinal surgery field. Due to high cost, these spinal robots are not extensively applied in clinical surgeries. Developing an effective robot system with low cost and high clinical acceptability is one of the future trends. METHODS: We developed a novel fluoroscopy-based robot system for pedicle screw insertion. Four live pigs were conducted with percutaneous pedicle screw insertion. Robot-assisted surgery was performed on the left side of pedicle, while the right opposite side is placed by freehand. The respect accuracy, surgical time and fluoroscopy time were recorded. RESULTS: Robot-assisted group achieved 100% (23/23) accuracy. The average times (6.4 ± 1.7) for intraoperative fluoroscopy usage per procedure were lesser than freehand group (12.5 ± 3.6), and the surgical time (6.8 ± 2.1 min) per screw was reduced compared with freehand group (12.1 ± 4.8 min). CONCLUSIONS: Our robot system is cost-effective and feasible for pedicle screw placement. Low economic cost makes it easier for extensive application in primary hospitals.

Keywords

FluoroscopyPercutaneousMedicineRobotSurgeryFixation (population genetics)Computer scienceArtificial intelligence

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