Division of Neurosurgery, Department of Surgery, University of Toronto, Toronto, Ontario, Canada.
Institute of Medical Science, School of Graduate Studies, University of Toronto, Toronto, Ontario, Canada.
Can J Neurol Sci. 2019 Jan;46(1):87-95. doi: 10.1017/cjn.2018.376.
Computer-assisted navigation (CAN) improves the accuracy of spinal instrumentation in vertebral fractures and degenerative spine disease; however, it is not widely adopted because of lack of training, high capital costs, workflow hindrances, and accuracy concerns. We characterize shifts in the use of spinal CAN over time and across disciplines in a single-payer health system, and assess the impact of intra-operative CAN on trainee proficiency across Canada.
A prospectively maintained Ontario database of patients undergoing spinal instrumentation from 2005 to 2014 was reviewed retrospectively. Data were collected on treated pathology, spine region, surgical approach, institution type, and surgeon specialty. Trainee proficiency with CAN was assessed using an electronic questionnaire distributed across 15 Canadian orthopedic surgical and neurosurgical programs.
In our provincial cohort, 16.8% of instrumented fusions were CAN-guided. Navigation was used more frequently in academic institutions (15.9% vs. 12.3%, p<0.001) and by neurosurgeons than orthopedic surgeons (21.0% vs. 12.4%, p<0.001). Of residents and fellows 34.1% were fully comfortable using spinal CAN, greater for neurosurgical than orthopedic surgical trainees (48.1% vs. 11.8%, p=0.008). The use of CAN increased self-reported proficiency in thoracic instrumentation for all trainees by 11.0% (p=0.036), and in atlantoaxial instrumentation for orthopedic trainees by 18.0% (p=0.014).
Spinal CAN is used most frequently by neurosurgeons and in academic centers. Most spine surgical trainees are not fully comfortable with the use of CAN, but report an increase in technical comfort with CAN guidance particularly for thoracic instrumentation. Increased education in spinal CAN for trainees, particularly at the fellowship stage and, specifically, for orthopedic surgery, may improve adoption.
计算机辅助导航(CAN)可提高脊柱骨折和退行性脊柱疾病中脊柱器械的准确性;但是,由于缺乏培训、高资本成本、工作流程障碍和准确性问题,其并未得到广泛采用。我们描述了在单一支付者健康系统中,CAN 在时间和学科上的使用变化,并评估了术中 CAN 对加拿大各地受训者熟练程度的影响。
回顾性分析了 2005 年至 2014 年间接受脊柱器械治疗的患者的前瞻性维持的安大略数据库。收集的资料包括治疗的病变、脊柱区域、手术入路、机构类型和外科医生专业。通过向 15 个加拿大骨科和神经外科计划分发电子问卷,评估了受训者使用 CAN 的熟练程度。
在我们的省级队列中,有 16.8%的融合术是由 CAN 引导的。CAN 更多地用于学术机构(15.9%比 12.3%,p<0.001)和神经外科医生而不是骨科医生(21.0%比 12.4%,p<0.001)。在住院医师和研究员中,有 34.1%的人完全能够使用脊柱 CAN,神经外科医生比骨科医生高(48.1%比 11.8%,p=0.008)。CAN 的使用使所有受训者在胸椎器械方面的自我报告熟练度提高了 11.0%(p=0.036),在骨科受训者的寰枢椎器械方面提高了 18.0%(p=0.014)。
CAN 最常由神经外科医生和学术中心使用。大多数脊柱外科医生并不完全熟悉 CAN 的使用,但报告称,在使用 CAN 指导时,技术舒适度有所提高,特别是在胸椎器械方面。增加对脊柱 CAN 的培训,特别是在住院医师阶段,特别是对骨科手术,可能会提高采用率。