使用定量椎弓根螺钉精度系统评估新技术:o型臂导航及其对经皮椎弓根螺钉置入学习曲线的影响的初步研究

Joseph A. Sclafani MD , Gilad J. Regev MD , Jonathan Webb MD , Steven R. Garfin MD , Choll W. Kim MD, PhD
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引用次数: 25

摘要

本文提出了一种定量螺钉精度系统,可以对不同的椎弓根螺钉置入方法进行高保真的区分。我们的目的是研究定量螺钉精度评分系统的效用,以评估新的成像技术及其对微创脊柱学习曲线的影响。方法采用假设的“完美螺钉”,提出了一种评分系统,可用于根据理想的最佳位置比较插入的少量螺钉的位置。本研究回顾性回顾了10例经皮椎弓根螺钉置入患者的影像学研究,这些患者均采用导航辅助o臂成像或导航辅助c臂成像。在研究的学习曲线部分,2具成人尸体被用作仪器。两项研究均采用计算机断层成像研究,通过定量评分系统评估最佳螺钉在椎弓根和椎体中的位置。结果定量评分系统使用比先前发表的方法更少的数据点,可以确定两种不同技术之间具有统计学意义的准确性差异。当该螺钉评分系统应用于微创经皮椎弓根螺钉置入时,通过导航辅助技术(带有计算机辅助导航的o型臂)可以获得更精确的最佳螺钉位置。当学习经皮螺钉置入技术的新手外科医生使用带有计算机辅助导航的o型臂时,螺钉的置入时间更短,且精度不降低。相比之下,使用传统的c型臂透视会导致准确性下降,而且插入时间更快。与透视导航相比,临床上可以看到准确性的提高。结论使用定量评分系统可以快速评估螺钉的准确性。随着椎弓根螺钉置入的其他技术和新的教学技术的发展,该评分系统可能作为早期评估工具有用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Use of a quantitative pedicle screw accuracy system to assess new technology: Initial studies on O-arm navigation and its effect on the learning curve of percutaneous pedicle screw insertion

Background

A quantitative screw accuracy system is proposed that allows for high-fidelity discrimination between various methods of pedicle screw insertion. Our purpose was to study the utility of a quantitative screw accuracy scoring system to assess new imaging technologies and their effects on the minimally invasive spine learning curve.

Methods

By use of a hypothetical “perfect screw,” a scoring system is proposed that may be used to compare the position of a small number of screws inserted according to a desired optimal position. This study incorporates a retrospective review of imaging studies for 10 patients who underwent percutaneous pedicle screw placement with either navigation-assisted O-arm imaging or navigation-assisted C-arm imaging. For the learning-curve portion of the study, 2 cadaveric adult torsos were used for instrumentation. Computed tomography imaging studies were used in both studies to assess screw position in the pedicle and vertebral body in relation to an optimal screw by use of a quantitative scoring system to rate accuracy.

Results

The quantitative scoring system allowed a statistically significant accuracy difference to be ascertained between 2 different technologies using fewer data points than previously published methods. When this screw scoring system is applied to minimally invasive percutaneous pedicle screw insertion, an optimal screw position can be achieved with greater accuracy through navigation-assisted technology (O-arm with computer-assisted navigation). When the O-arm with computer-assisted navigation was used by a novice surgeon learning the technique of percutaneous screw insertion, screws were inserted in a shorter period without loss of accuracy. In contrast, use of the traditional C-arm fluoroscopy leads to a loss of accuracy with faster insertion times. Increased accuracy can be seen clinically when compared with fluoroscopic navigation.

Conclusions

The use of a quantitative scoring system allows for rapid assessment of screw accuracy. As additional technologies and new teaching techniques for pedicle screw insertion are developed, this scoring system may be useful as an early assessment tool.

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