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The use of robotics in minimally invasive spine surgery.机器人技术在微创脊柱手术中的应用。
J Spine Surg. 2019 Jun;5(Suppl 1):S31-S40. doi: 10.21037/jss.2019.04.16.
2
Next-Generation Robotic Spine Surgery: First Report on Feasibility, Safety, and Learning Curve.下一代机器人脊柱手术:可行性、安全性和学习曲线的首次报告。
Oper Neurosurg (Hagerstown). 2019 Jul 1;17(1):61-69. doi: 10.1093/ons/opy280.
3
Accuracy of robot-assisted pedicle screw insertion in adolescent idiopathic scoliosis: is triggered electromyographic pedicle screw stimulation necessary?青少年特发性脊柱侧弯中机器人辅助椎弓根螺钉植入的准确性:是否需要触发式肌电图椎弓根螺钉刺激?
J Spine Surg. 2018 Jun;4(2):187-194. doi: 10.21037/jss.2018.04.01.
4
Accuracy of pedicle screw placement comparing robot-assisted technology and the free-hand with fluoroscopy-guided method in spine surgery: An updated meta-analysis.脊柱手术中机器人辅助技术与透视引导下徒手置钉椎弓根螺钉置入准确性的比较:一项更新的荟萃分析。
Medicine (Baltimore). 2018 Jun;97(22):e10970. doi: 10.1097/MD.0000000000010970.
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Comparative study of 1-year clinical and radiological outcomes using robot-assisted pedicle screw fixation and freehand technique in posterior lumbar interbody fusion: A prospective, randomized controlled trial.机器人辅助椎弓根螺钉固定与徒手技术在后路腰椎椎间融合术中1年临床及影像学结果的比较研究:一项前瞻性随机对照试验
Int J Med Robot. 2018 Aug;14(4):e1917. doi: 10.1002/rcs.1917. Epub 2018 May 22.
6
Impact of robot-assisted spine surgery on health care quality and neurosurgical economics: A systemic review.机器人辅助脊柱手术对医疗质量和神经外科学经济学的影响:系统评价。
Neurosurg Rev. 2020 Feb;43(1):17-25. doi: 10.1007/s10143-018-0971-z. Epub 2018 Apr 3.
7
Evaluation of Screw Placement Accuracy in Circumferential Lumbar Arthrodesis Using Robotic Assistance and Intraoperative Flat-Panel Computed Tomography.使用机器人辅助和术中平板计算机断层扫描评估环形腰椎融合术中螺钉置入的准确性
World Neurosurg. 2017 Sep;105:86-94. doi: 10.1016/j.wneu.2017.05.118. Epub 2017 May 30.
8
Accuracy of robot-guided versus freehand fluoroscopy-assisted pedicle screw insertion in thoracolumbar spinal surgery.机器人引导与徒手荧光透视辅助下胸腰椎脊柱手术椎弓根螺钉置入的准确性
Neurosurg Focus. 2017 May;42(5):E14. doi: 10.3171/2017.3.FOCUS179.
9
Robotic versus fluoroscopy-guided pedicle screw insertion for metastatic spinal disease: a matched-cohort comparison.机器人辅助与透视引导下椎弓根螺钉置入治疗脊柱转移性疾病:配对队列比较
Neurosurg Focus. 2017 May;42(5):E13. doi: 10.3171/2017.3.FOCUS1710.
10
Initial academic experience and learning curve with robotic spine instrumentation.机器人脊柱内固定的初步学术经验及学习曲线
Neurosurg Focus. 2017 May;42(5):E4. doi: 10.3171/2017.2.FOCUS175.

文艺复兴时期机器人手术系统外科医生的学习曲线

Surgeons' Learning Curve of Renaissance Robotic Surgical System.

作者信息

BÄcker Henrik C, Freibott Christina E, Perka Carsten, Weidenbaum Mark

机构信息

Department of Orthopaedic Surgery, Columbia University Medical Center-Presbyterian Hospital, The Spine Hospital at New York Presbyterian, New York, New York.

Center for Muskuloskeletal Surgery, Charité Berlin, University Hospital Berlin, Berlin, Germany.

出版信息

Int J Spine Surg. 2020 Oct;14(5):818-823. doi: 10.14444/7116. Epub 2020 Oct 23.

DOI:10.14444/7116
PMID:33097577
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7671434/
Abstract

INTRODUCTION

A few articles on robot-assisted pedicle screw placement described the learning curve but failed to report on the overall operative time, including cases in which the robotic system malfunctioned. The purpose of this study was to identify a single surgeon's learning curve including estimated blood loss, surgery time, anesthesia time, robot time, and complications.

METHODS

A retrospective study was performed between January 2016 and August 2018 for patients who underwent posterior spinal fusion using the Mazor robot. Based on the charts, the robot time, time of anesthesia, and surgery time were recorded, as were the complications, misplacement of screws, and blood loss.

RESULTS

Of 62 robot-assisted surgeries scheduled, only 46 were performed (74.2%) upon patients with a mean age of 63.3 ± 13.0 years. The mean follow-up time was 13.2 ± 8.0 months and most commonly a fusion from L4 to S1 was performed (20/46, 43.5%). A high improvement in estimated intraoperative blood loss was observed of 755.7 ± 344.7 mL (slope = -9.89). A decrease in time in anesthesia, surgery, and robotic usage was identified with a slope factor of -3.64 ( = .22, SE = 85.4, < .005), -3.97 ( = 0.30, SE 75.8, < .005), -0.69 ( = .07, SE = 27.8, < .09), respectively. Furthermore, a decrease in pedicle screw insertion time and operative time was found (slope = -0.05, = .02, SE = 3.4, = .37). In total, 5 major complications (cases 8, 19, 21, 35, 43) and 6 minor complications (cases 4, 14, 15, 20, 29), were identified (21.7%) without any learning curve.

CONCLUSIONS

Robot pedicle screw insertion shows no major learning curve; however, the blood loss and the installation process of the system improved with experience.

LEVEL OF EVIDENCE

摘要

引言

几篇关于机器人辅助椎弓根螺钉置入的文章描述了学习曲线,但未报告总体手术时间,包括机器人系统发生故障的病例。本研究的目的是确定单一外科医生的学习曲线,包括估计失血量、手术时间、麻醉时间、机器人使用时间和并发症。

方法

对2016年1月至2018年8月间使用Mazor机器人进行后路脊柱融合术的患者进行回顾性研究。根据病历记录机器人使用时间、麻醉时间和手术时间,以及并发症、螺钉误置和失血量。

结果

在计划的62例机器人辅助手术中,仅对46例患者进行了手术(74.2%),患者平均年龄为63.3±13.0岁。平均随访时间为13.2±8.0个月,最常见的是进行L4至S1融合(20/46,43.5%)。观察到估计术中失血量有显著改善,为755.7±344.7 mL(斜率=-9.89)。麻醉时间、手术时间和机器人使用时间均有所减少,斜率因子分别为-3.64(R² = 0.22,SE = 8