Influence of Bone Condition and Implant Design on Accuracy of Semi-Autonomous Robotic Dental Implant Surgery In Vitro

IF 4 2区医学 Q1 DENTISTRY, ORAL SURGERY & MEDICINE

Clinical Implant Dentistry and Related Research Pub Date : 2025-09-15 DOI:10.1111/cid.70090

Qingwei Tang, Linhong Wang, Yude Ding, Yuchen Zheng, Xulan Yang, Jie Xia, Fan Yang

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引用次数: 0

Abstract

Objectives

This study aimed to evaluate the effects of bone density, cortical bone thickness, and implant design on the accuracy of implant placement using a novel semi-autonomous robotic-assisted surgery system (sa-RASS).

Materials and Methods

A total of 160 implants were placed in artificial bone models simulating four bone densities (D1, D2, D3, D4) and three cortical bone thicknesses (0.5, 1, 1.5 mm) using sa-RASS. Two implant designs (self-tapping and non-self-tapping) were evaluated under standardized cortical bone thickness conditions. The postoperative CBCT data and preoperative surgical plan were superimposed to calculate the deviations of the implant. Deviations were quantified for platform/apex positions (global, horizontal, vertical) and implant angulation.

Results

The sa-RASS achieved mean deviations of 0.58 ± 0.19 mm at platform, 0.60 ± 0.24 mm at apex, and 1.46° ± 0.78° for angulation. Bone density significantly influenced accuracy (p < 0.05), with maximum deviations in medium-density (D2/D3) models and minimal errors in high-density (D1) and low-density (D4) groups. Cortical thickness exhibited a moderate positive correlation with linear deviations (platform: r = 0.598; apex: r = 0.593; both p < 0.001). Self-tapping implants demonstrated superior precision compared to non-self-tapping designs (p < 0.05), with reduced deviations at both platform (0.48 ± 0.16 mm) and apex (0.49 ± 0.16 mm).

Conclusions

This in vitro study demonstrated that bone condition and implant design significantly influence the accuracy of sa-RASS. Understanding these factors can help optimize robotic-assisted implant placement and improve clinical outcomes.

Clinical Significance

Bone condition and implant design significantly affect the accuracy of robotic-assisted implant placement. Preoperative assessment and proper implant selection can enhance precision and improve clinical outcomes.

查看原文本刊更多论文

骨状态和种植体设计对半自主牙种植机器人体外手术精度的影响。

目的：本研究旨在利用一种新型半自主机器人辅助手术系统（sa-RASS）评估骨密度、皮质骨厚度和种植体设计对种植体放置准确性的影响。材料与方法：采用sa-RASS模拟4种骨密度（D1、D2、D3、D4）和3种皮质骨厚度（0.5、1、1.5 mm）的人工骨模型，共植入160颗种植体。两种种植体设计（自攻和非自攻）在标准化皮质骨厚度条件下进行评估。将术后CBCT数据与术前手术计划叠加计算种植体的偏差。对平台/顶点位置（全局、水平、垂直）和种植体角度的偏差进行量化。结果：sa-RASS的平均误差为平台0.58±0.19 mm，尖端0.60±0.24 mm，成角1.46°±0.78°。结论：体外研究表明，骨状况和种植体设计显著影响sa-RASS的准确性。了解这些因素有助于优化机器人辅助植入物的放置和改善临床结果。临床意义：骨状况和种植体设计显著影响机器人辅助种植体放置的准确性。术前评估和正确选择种植体可提高准确性，改善临床效果。

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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来源期刊

Clinical Implant Dentistry and Related Research 医学-牙科与口腔外科

CiteScore

6.00

自引率

13.90%

发文量

103

审稿时长

4-8 weeks

期刊介绍： The goal of Clinical Implant Dentistry and Related Research is to advance the scientific and technical aspects relating to dental implants and related scientific subjects. Dissemination of new and evolving information related to dental implants and the related science is the primary goal of our journal. The range of topics covered by the journals will include but be not limited to: New scientific developments relating to bone Implant surfaces and their relationship to the surrounding tissues Computer aided implant designs Computer aided prosthetic designs Immediate implant loading Immediate implant placement Materials relating to bone induction and conduction New surgical methods relating to implant placement New materials and methods relating to implant restorations Methods for determining implant stability A primary focus of the journal is publication of evidenced based articles evaluating to new dental implants, techniques and multicenter studies evaluating these treatments. In addition basic science research relating to wound healing and osseointegration will be an important focus for the journal.