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主动和被动动力导航引导的牙种植手术的准确性和学习曲线:一项体外研究。

The accuracy and learning curve of active and passive dynamic navigation-guided dental implant surgery: An in vitro study.

机构信息

Department of Stomatology, The First Medical Center, Chinese PLA General Hospital, No. 28, Fuxing Road, Beijing, China; Department of Stomatology, The Strategic Support Force Medical Center, PLA, Beijing, China.

Department of Stomatology, The First Medical Center, Chinese PLA General Hospital, No. 28, Fuxing Road, Beijing, China.

出版信息

J Dent. 2022 Sep;124:104240. doi: 10.1016/j.jdent.2022.104240. Epub 2022 Jul 21.

Abstract

OBJECTIVES

Infrared dynamic navigation systems can be categorized into active and passive based on whether the surgical instruments can emit or only reflect light. This in vitro study aimed to compare the accuracy of implant placement and the learning curve of both active and passive dynamic navigation systems, using different registration methods.

METHODS

Implants (n = 704) were placed in 64 sets of models and divided into active (Yizhime, DCARER, Suzhou, China) and passive (Iris-Clinic, EPED, Kaohsiung, China) dynamic navigation groups. Both marker point-based registration (M-PBR) and feature point-based registration (F-PBR) were employed for the two groups. Based on preoperative and postoperative cone-beam computed tomography imaging, the coronal, midpoint, apical, and angular deviations were analyzed from 2D and 3D views. The operation time was recorded for each group.

RESULTS

The active dynamic navigation group exhibited significantly higher accuracy than the passive dynamic navigation group (angular deviation, 4.13 ± 2.39° versus 4.62 ± 3.32°; coronal global deviation, 1.48 ± 0.60 versus 1.86 ± 1.12 mm; apical global deviation, 1.75 ± 0.81 versus 2.20 ± 1.68 mm, respectively). Significant interaction effects were observed for both registration methods and four quadrants with different dynamic navigation systems. Learning curves for the two dynamic navigation groups approached each other after 12 procedures, and finally converged after 27 procedures.

CONCLUSIONS

The accuracy of active dynamic navigation system was superior to that of passive dynamic navigation system. Different combinations of dynamic navigation systems, registration methods, and implanted quadrants displayed various interactions.

CLINICAL SIGNIFICANCE

Our findings could provide guidance for surgeons in choosing an appropriate navigation system in various implant surgeries. Furthermore, the time required by surgeons to master the technique was calculated. Nevertheless, there are certain limitations in this in vitro study, and therefore further research is required.

摘要

目的

根据手术器械是否能发射或仅反射光,红外动态导航系统可分为主动式和被动式。本体外研究旨在比较使用不同配准方法的主动式和被动式动态导航系统在植入物放置准确性和学习曲线方面的差异。

方法

将 704 枚种植体植入 64 个模型中,并分为主动式(Yizhime、DCARER、苏州,中国)和被动式(Iris-Clinic、EPED、高雄,中国)动态导航组。两组均采用标记点配准(M-PBR)和特征点配准(F-PBR)。基于术前和术后锥形束 CT 成像,从二维和三维视图分析冠状、中点、根尖和角度偏差。记录每组的手术时间。

结果

主动式动态导航组的准确性明显高于被动式动态导航组(角度偏差:4.13±2.39°比 4.62±3.32°;冠状全局偏差:1.48±0.60 比 1.86±1.12mm;根尖全局偏差:1.75±0.81 比 2.20±1.68mm)。两种配准方法和四种不同动态导航系统的象限均存在显著的交互作用。两种动态导航组的学习曲线在 12 次操作后趋于一致,最终在 27 次操作后收敛。

结论

主动式动态导航系统的准确性优于被动式动态导航系统。不同的动态导航系统、配准方法和植入象限组合显示出不同的相互作用。

临床意义

本研究结果可为外科医生在各种植入手术中选择合适的导航系统提供指导。此外,还计算了外科医生掌握该技术所需的时间。然而,本体外研究存在一定局限性,因此需要进一步研究。

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