口腔内扫描定位种植机器人在口腔种植手术中的应用。

Nenghao Jin, Bo Qiao, Liang Zhu, Fanhao Meng, Quanquan Lin, Liangbo Li, Lejun Xing, Rui Zhao, Haizhong Zhang
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引用次数: 0

摘要

目的:探讨口腔内扫描与锥束ct (cone beam computed tomography, CBCT)配准种植机器人在口腔种植手术中的应用。方法:回顾性分析2023年11月~ 2024年5月40例机器人辅助种植牙体缺损患者的临床资料。术前将定位标记物的口内扫描数据和CBCT数据与初始CBCT图像自动融合,并计算配准误差。术中测定定位标记物的平均配准误差,术后分析植入精度。结果:40例牙缺损佩戴定位标记者的口腔内扫描数据和CBCT数据均与初始CBCT图像成功配准,配准误差分别为(0.157±0.026)mm和(0.154±0.033)mm。经统计学分析,两组间无统计学意义。标记的配准误差为(0.037 3±0.0036)mm,共种植55颗,种植点和根尖点的总偏差分别为(0.78±0.41)mm和(0.89±0.28)mm。种植点和根尖的横向偏差分别为(0.44±0.36)mm和(0.58±0.25)mm。种植点和根尖点的深度偏差分别为(0.51±0.32)mm和(0.54±0.36)mm。种植体角度偏差为1.24°±0.67°。结论:基于口腔内扫描与CBCT配准的融合技术能够满足口腔种植机器人术前配准的精度要求。该技术增加了机器人辅助植牙手术前登记方法的选择,并减少了患者的多重辐射暴露。
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Application of intraoral scanning registration implant robot in dental implant surgery.

Objectives: This paper aims to investigate the application of intraoral scanning and cone beam computed tomography (CBCT) registration implant robot in dental implant surgery.

Methods: The data of 40 cases with dental defect of robot-assisted implantation from November 2023 to May 2024 were retrospectively analyzed. Before the operation, the intraoral scan data and CBCT data of the positioning markers were automatically fused with the initial CBCT images, and the registration error was calculated. The average registration error of positioning markers was determined during the operation, and the implantation accuracy was analyzed after the operation.

Results: The intraoral scan data and CBCT data of 40 patients with dental defect wearing positioning markers were successfully registered with the initial CBCT image, and the registration errors were (0.157±0.026) mm and (0.154±0.033) mm, respectively. Statistical analysis showed no statistical significance between them. The registration errors of the marker was (0.037 3±0.003 6) mm. A total of 55 implants were performed, and the total deviations of the implant point and the apical point were (0.78±0.41) and (0.89±0.28) mm, respectively. The transverse deviations of the implant point and the apical point were (0.44±0.36) and (0.58±0.25) mm, respectively. The depth deviations of the implant point and the apical point were (0.51±0.32) and (0.54±0.36) mm, respectively. The deviation of the implant angle was 1.24°±0.67°.

Conclusions: The fusion technology based on intraoral scanning and CBCT registration can meet the accuracy requirements of preoperative registration of oral implant robots. The technology increases the choice of registration methods before robot-assisted dental implant surgery and reduces the multiple radiation exposuresof the patient.

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