Avrumova Fedan, Morse Kyle W, Heath Madison, Widmann Roger F, Lebl Darren R
Department of Spine Surgery, Hospital for Special Surgery, New York, NY, USA.
Academic Training, Hospital for Special Surgery, New York, NY, USA.
J Spine Surg. 2021 Jun;7(2):141-154. doi: 10.21037/jss-20-687.
K-wireless robotic pedicle screw instrumentation with navigation is a new technology with large potential. Barriers to adoption are added registration time with robotic-navigated system and reliable screw positioning. Understanding the learning curve and limitations is crucial for successful implementation. The purpose of this study was to describe a learning curve of k-wireless robotic assisted pedicle screw placement with navigation and compare to conventional techniques.
A retrospective review of prospectively collected data of 65 consecutive adult patients underwent robotic-navigated posterior spinal fusion by a single spine surgeon. Registration, screw placement, and positioning times were recorded. All patients underwent intra-operative 3D fluoroscopy and screw trajectory was compared to pre-operative CT.
A total of 364 instrumented pedicles were planned robotically, 311 (85.4%) were placed robotically; 17 screws (4.7%) converted to k-wire, 21 (5.8%) converted to freehand, and 15 (4.1%) planned freehand. Of the 311 robotically placed pedicle screws, three dimensional fluoroscopic imaging showed 291 (93.5%) to be GRS Grade A in the axial plane (fully contained within the pedicle) and 281 (90.4%) were GRS Grade A in the sagittal plane. All breached screw deviations from plan were identified on 3D fluoroscopy during surgery and repositioned and confirmed by additional 3d fluoroscopy scan. Reasons for conversion included morphology of starting point (n=18), soft tissue pressure (n=9), hypoplastic pedicles (n=6), obstructive reference pin placement (n=2), and robotic arm issues (n=1). Seventeen (5.5%) critical breaches (≥2-4 mm) were recorded in 11 patients, 9 (2.9%) critical breaches were due to soft tissue pressure causing skive. Two patients experienced 6 (1.9%) critical breaches from hypoplastic pedicles, and 3 (0.9%) unplanned lateral breaches were found in another patient. One patient (0.3%) experienced skive due to morphology and spinal instability from isthmic spondylolisthesis. Imaging showed 143 screws placed medially to plan (1.2±0.9 mm), 170 lateral (1.2±1.1 mm), 193 screws caudal (1.0±0.6 mm) and 117 cranial (0.6±0.5 mm). No adverse clinical sequelae occurred from implantation of any screw.
The learning curve showed improvement in screw times for the first several cases. Understanding the learning curve and situations where the robotic technique may be suboptimal can help guide the surgeon safe and effectively for adoption, as well as further refine these technologies.
带导航的K型无线机器人椎弓根螺钉植入技术是一项极具潜力的新技术。采用该技术的障碍包括机器人导航系统增加的注册时间以及可靠的螺钉定位。了解学习曲线和局限性对于成功实施至关重要。本研究的目的是描述带导航的K型无线机器人辅助椎弓根螺钉置入的学习曲线,并与传统技术进行比较。
对一位脊柱外科医生连续为65例成年患者进行机器人导航下后路脊柱融合手术的前瞻性收集数据进行回顾性分析。记录注册、螺钉置入和定位时间。所有患者均接受术中三维透视,将螺钉轨迹与术前CT进行比较。
共计划通过机器人置入364个椎弓根螺钉,其中311个(85.4%)成功通过机器人置入;17枚螺钉(4.7%)改为克氏针置入,21枚(5.8%)改为徒手置入,15枚(4.1%)计划徒手置入。在311枚通过机器人置入的椎弓根螺钉中,三维透视成像显示291枚(93.5%)在轴位平面上为GRS A级(完全位于椎弓根内),281枚(90.4%)在矢状位平面上为GRS A级。所有与计划有偏差的突破螺钉在手术期间的三维透视检查中均被发现,并重新定位,经额外的三维透视扫描确认。转换的原因包括起始点形态(n=18)、软组织压迫(n=9)、椎弓根发育不全(n=6)、参考针放置受阻(n=2)和机器人手臂问题(n=1)。11例患者记录到17处(5.5%)严重突破(≥2 - 4 mm),9处(2.9%)严重突破是由于软组织压迫导致切割。2例患者因椎弓根发育不全出现6处(1.9%)严重突破,另1例患者发现3处(0.9%)意外的外侧突破。1例患者(0.3%)因峡部裂性脊椎滑脱的形态和脊柱不稳定导致切割。影像学显示143枚螺钉向内偏离计划(1.2±0.9 mm),170枚向外(1.2±1.1 mm),193枚向尾侧(1.0±0.6 mm),117枚向头侧(0.6±0.5 mm)。任何螺钉植入均未出现不良临床后遗症。
学习曲线显示前几例手术的螺钉置入时间有所改善。了解学习曲线以及机器人技术可能不太理想的情况,有助于指导外科医生安全有效地采用该技术,并进一步完善这些技术。