新型二维即时导航系统在脊柱手术中的可行性和准确性评估——临床前研究。

IF 2.2 3区 医学 Q2 ORTHOPEDICS
Wen Xia, Zhengyang Wu, Rui Zuo, Jiang Wu, Jing Ling, Linfeng Mo, Zegang Shi, Yue Zhou, Changqing Li, Wenjie Zheng, Chao Zhang
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引用次数: 0

摘要

背景:术中导航极大地促进了脊柱手术,提高了手术的准确性。然而,它经常因需要昂贵的设备、复杂的工作流程而受到阻碍,并且经常表现出效率低下。利用永久校准技术,我们开发了一种新型的二维荧光图像导航系统,旨在简化和加快导航过程。在本研究中,我们对其可行性和准确性进行了综合评价。方法:采用标准化高精度模具严格评估二维导航系统的精度。为了验证新型脊柱外科导航系统的可行性和准确性,采用猪腰椎裸骨进行评估。随后,在活体动物的脊柱(L1-L5)上进行2D导航辅助椎弓根穿透。通过比较实际透视图像中手术工具的可视化位置与导航系统预先规划的虚拟位置来量化导航精度。结果:在实验过程中,观察到虚拟透视图像与实际透视图像具有良好的相关性。通过标准化高精度模具评估导航定位精度为0.54±0.16mm(正视图)和0.57±0.14mm(侧视图)。具体而言,在猪腰椎裸骨中,正位和侧位透视下虚实透视图像的平均距离误差分别为0.99±0.48mm和0.87±0.60mm。同时,平均角度误差分别为0.41±0.29°和0.37±0.11°。在正常成年猪(L1-L5)的手术过程中,平均距离误差分别为1.14±0.58mm(95% CI[0.50-0.59])和1.54±0.79mm(95% CI[0.11-0.12])。相应的平均角度误差分别为0.61±0.49°(95% CI[0.33-0.35])和0.40±0.31°(95% CI[0.33-0.47])。在单次导航配准和整个手术过程中,L1至L5节段的导航精度始终保持较高,节段之间没有统计学上的显著差异(p>0.05)。结论:基于永久定标技术的二维透视图像导航系统具有工作流程快速方便的特点。它显示了高水平的导航精度,从而满足现场手术中脊柱导航的严格要求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Feasibility and accuracy evaluation of novel 2D instant navigation system on spinal surgery - a preclinical study.

Background: Intraoperative navigation has significantly facilitated spinal surgery and enhanced surgical accuracy. Nevertheless, it is often encumbered by the need for expensive equipment, a complex workflow, and frequently exhibits inefficiencies. Leveraging permanent calibration technology, we have developed a novel two-dimensional fluoroscopic image navigation system with the aim of streamlining and expediting the navigation process. In this study, we comprehensively evaluated its feasibility and accuracy.

Methods: The accuracy of the 2D-navigation system was rigorously assessed using a standardized high-precision mold. To validate the feasibility and accuracy of the novel navigation system for spinal surgery, the bare-bones of the pig lumbar spine are employed for evaluation. Subsequently, 2D navigation-assisted pedicle penetrations were meticulously carried out on the spine (L1-L5) of live animals. The navigation accuracy was quantified by comparing the visualized position of the surgical tool in the actual fluoroscopic image with the virtual position pre-planned by the navigation system.

Results: During the experimental process, an excellent correlation between the virtual fluoroscopic images and actual fluoroscopic images was prominently observed. The navigation positioning accuracy, as evaluated by the standardized high-precision mold, was determined to be 0.54±0.16mm (AP view) and 0.57±0.14mm (lateral view). Specifically, in the bare-bones of the pig lumbar spine, the average distance errors between the virtual and actual fluoroscopic images under anteroposterior and lateral views were 0.99±0.48mm and 0.87±0.60mm, respectively. Meanwhile, the average angle errors were 0.41±0.29 and 0.37±0.11 , respectively. In the surgical procedure on normal adult pigs (L1-L5), the average distance errors were 1.14±0.58mm(95% CI [0.50-0.59]) and 1.54±0.79mm(95% CI [0.11-0.12]), respectively. The corresponding average angle errors were 0.61±0.49 (95% CI [0.33-0.35]) and 0.40±0.31 (95% CI [0.33-0.47]), respectively. Throughout a single navigation registration and the entire surgical procedure, the navigation accuracy across the L1 to L5 segments remained consistently high, with no statistically significant differences detected among the segments (p>0.05).

Conclusion: The two-dimensional fluoroscopic image navigation system based on permanent calibration technology is characterized by a rapid and convenient workflow. It demonstrates high-level navigation accuracy, thereby meeting the stringent requirements for spinal navigation in live surgical procedures.

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来源期刊
BMC Musculoskeletal Disorders
BMC Musculoskeletal Disorders 医学-风湿病学
CiteScore
3.80
自引率
8.70%
发文量
1017
审稿时长
3-6 weeks
期刊介绍: BMC Musculoskeletal Disorders is an open access, peer-reviewed journal that considers articles on all aspects of the prevention, diagnosis and management of musculoskeletal disorders, as well as related molecular genetics, pathophysiology, and epidemiology. The scope of the Journal covers research into rheumatic diseases where the primary focus relates specifically to a component(s) of the musculoskeletal system.
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