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基于锥束计算机断层扫描和口内扫描仪数据配准的机器人辅助种植体植入校准方法的准确性:一项体外研究。

Accuracy of a calibration method based on cone beam computed tomography and intraoral scanner data registration for robot-assisted implant placement: An in vitro study.

作者信息

Li Yi, Lyu Jizhe, Cao Xunning, Zhou Yin, Tan Jianguo, Liu Xiaoqiang

机构信息

Graduate student, Department of Prosthodontics, Peking University School and Hospital of Stomatology & National Center for Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, Beijing, PR China.

Graduate student, Department of Prosthodontics, Peking University School and Hospital of Stomatology, Beijing, PR China.

出版信息

J Prosthet Dent. 2024 Dec;132(6):1309.e1-1309.e9. doi: 10.1016/j.prosdent.2024.08.009. Epub 2024 Sep 7.

Abstract

STATEMENT OF PROBLEM

Robotic systems have shown promise for implant placement because of their accuracy in identifying surgical positions. However, research on the accuracy of patient calibration methods based on cone beam computed tomography (CBCT) and intraoral scanner (IOS) data registration is lacking.

PURPOSE

The purpose of this in vitro study was to develop a calibration method based on the registration of CBCT and IOS data of a robot-assisted system for implant placement, evaluate the accuracy of this calibration method, and explore the accuracy of robot-assisted surgery at different implant positions.

MATERIAL AND METHODS

Twenty standardized, polyurethane, partially edentulous maxillary typodonts were divided into 2 groups: one group used a calibration method based solely on CBCT data (CBCT group), and the other used a calibration method based on the registration of CBCT and IOS data (IOS group). Four implants were planned for each typodont in the right second premolar, left central incisor, left first premolar, and left second molar positions. The robot performed the osteotomies and implant placement step by step according to the preoperative plan. The operating software program automatically measured the deviation between the planned and actual implant position. Two-way analysis of variance (ANOVA) and the least significant difference (LSD) post hoc test (α=.05) were used to analyze differences between the test groups.

RESULTS

The angular deviation and 3-dimensional deviations at implant platform and apex between the 2 calibration methods did not significantly differ among the 4 implant positions (P>.05). The horizontal and depth deviations at the implant platform and apex levels between the 2 calibration methods did not significantly differ among the 4 implant positions (P>.05). In the anterior region (left central incisor), the CBCT group showed higher horizontal deviation at both the implant platform and apex compared with the IOS group (P<.05). Conversely, the IOS group had greater depth deviation at both the implant platform and apex than the CBCT group (P<.05). In the posterior region, with or without distal extension (right second premolar, left first premolar, and left second molar), no statistically significant differences were found between the 2 calibration methods (P>.05).

CONCLUSIONS

The calibration method that was based on the registration of CBCT and IOS data demonstrated high accuracy. No significant differences in the accuracy of the calibration methods for robot-assisted implant placement were found between the CBCT group and IOS group.

摘要

问题陈述

机器人系统因其在确定手术位置方面的准确性,在种植体植入方面显示出前景。然而,基于锥束计算机断层扫描(CBCT)和口内扫描仪(IOS)数据配准的患者校准方法的准确性研究尚缺。

目的

本体外研究的目的是开发一种基于机器人辅助种植体植入系统的CBCT和IOS数据配准的校准方法,评估该校准方法的准确性,并探索机器人辅助手术在不同种植体位置的准确性。

材料与方法

将20个标准化的聚氨酯部分缺牙上颌模型牙分为2组:一组使用仅基于CBCT数据的校准方法(CBCT组),另一组使用基于CBCT和IOS数据配准的校准方法(IOS组)。为每个模型牙的右侧第二前磨牙、左侧中切牙、左侧第一前磨牙和左侧第二磨牙位置计划植入4颗种植体。机器人根据术前计划逐步进行截骨和种植体植入。手术软件程序自动测量计划种植体位置与实际种植体位置之间的偏差。采用双向方差分析(ANOVA)和最小显著差(LSD)事后检验(α = 0.05)分析试验组之间的差异。

结果

两种校准方法在4个种植体位置的种植体平台和根尖处的角度偏差和三维偏差无显著差异(P>0.05)。两种校准方法在4个种植体位置的种植体平台和根尖水平的水平偏差和深度偏差无显著差异(P>0.05)。在前牙区(左侧中切牙),CBCT组在种植体平台和根尖处的水平偏差均高于IOS组(P<0.05)。相反,IOS组在种植体平台和根尖处的深度偏差均大于CBCT组(P<0.05)。在后牙区,无论有无远中延伸(右侧第二前磨牙、左侧第一前磨牙和左侧第二磨牙),两种校准方法之间均未发现统计学显著差异(P>0.05)。

结论

基于CBCT和IOS数据配准的校准方法显示出高准确性。CBCT组和IOS组在机器人辅助种植体植入校准方法的准确性方面无显著差异。

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