Zhuang Minjie, Chen Jinyan, Tao Baoxin, Gul Meisha, Wang Feng, Wu Yiqun
Department of Second Dental Center, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
College of Stomatology, Shanghai Jiao Tong University, Shanghai, China.
Clin Implant Dent Relat Res. 2025 Feb;27(1):e13402. doi: 10.1111/cid.13402. Epub 2024 Oct 15.
The learning curve effect of dynamic computer-assisted implant surgery (D-CAIS) was observed among inexperienced novice surgeons. The learning curves can provide valuable information for novice surgeons and valid comparisons between new and conventional techniques. Recently, robotic computer-assisted implant surgery (R-CAIS) has shown promise as a novel dental implant surgical technique for both partially and edentulous patients. However, its learning curve remains unknown.
The aim of this study was to explore the learning curve of dental implant placement surgery with a task-autonomous robotic system among young dentists with different specialties.
Four young dentists (mean age: 25.3 ± 1.5 years at the beginning of their first attempt) with equal representation of males and females and with different specialties participated in this study. None of the participants had prior experience in R-CAIS. Each operator placed eight implants over eight attempts using a semi-active task-autonomous robotic system. Among the eight implants, four were straight lateral incisor implants, and four were 30°-tilted premolar implants. The implants were placed in each dental quadrant of the maxillary and mandibular jaw modules. The operation time was recorded. Coronal, apical, and angular deviations between the planned and actual sites of implant placement were measured by merging preoperative and postoperative cone-beam computed tomography (CBCT) scans. The data were analyzed with repeated-measures ANOVA (α = 0.05).
The mean time for implant placement was associated with the number of attempts (p < 0.01). The time taken for the second attempt was significantly shorter than that of the first attempt (33.26 vs. 30.47 min; p < 0.001) then it plateaued. Three-dimensional (3D) angular (p = 0.31), coronal deviation (p = 0.26), and apical deviation (p = 0.06) did not differ significantly among attempts. The mean values and standard deviations of 3D coronal deviation, 3D apical deviation, and 3D angular deviation were 0.71 ± 0.31 mm, 0.72 ± 0.30 mm, and 0.94 ± 0.58°, respectively. Neither the position of the jaw (p > 0.59) nor the tilt angle of the implant (straight or 30°-tilted, p > 0.85) was related to implant placement accuracy.
Dentists quickly learned the basic workflow of R-CAIS and thus facilitated the clinicians in the mastery of implant placement on edentulous jaw modules, leading to a comparable operating speed and high precision. Moreover, the accuracy of placement of straight and tilted implants in both the maxilla and mandible with R-CAIS was satisfactory.
在缺乏经验的新手外科医生中观察到了动态计算机辅助种植手术(D-CAIS)的学习曲线效应。学习曲线可为新手外科医生提供有价值的信息,并能对新技术与传统技术进行有效的比较。最近,机器人计算机辅助种植手术(R-CAIS)已显示出作为一种新型牙种植外科技术用于部分缺牙和无牙患者的潜力。然而,其学习曲线仍不清楚。
本研究的目的是探讨在不同专业的年轻牙医中使用任务自主机器人系统进行牙种植体植入手术的学习曲线。
四名年轻牙医(首次尝试开始时平均年龄:25.3±1.5岁)参与了本研究,男女比例相同且专业不同。所有参与者均无R-CAIS的既往经验。每位操作者使用半主动任务自主机器人系统在八次尝试中植入八颗种植体。在这八颗种植体中,四颗是直的侧切牙种植体,四颗是30°倾斜的前磨牙种植体。种植体被放置在上颌和下颌颌骨模块的每个牙象限中。记录手术时间。通过合并术前和术后锥形束计算机断层扫描(CBCT)扫描来测量种植体植入计划位置与实际位置之间的冠向、根尖向和角度偏差。数据采用重复测量方差分析进行分析(α=0.05)。
种植体植入的平均时间与尝试次数相关(p<0.01)。第二次尝试所用时间明显短于第一次尝试(33.26对30.47分钟;p<0.001),然后趋于平稳。三次尝试之间的三维(3D)角度(p=0.31)、冠向偏差(p=0.26)和根尖向偏差(p=0.06)无显著差异。3D冠向偏差、3D根尖向偏差和3D角度偏差的平均值和标准差分别为0.71±0.31mm、0.72±0.30mm和0.94±0.58°。颌骨位置(p>0.59)和种植体倾斜角度(直的或30°倾斜的,p>0.85)均与种植体植入准确性无关。
牙医很快学会了R-CAIS的基本工作流程,从而有助于临床医生掌握在无牙颌模块上植入种植体的技术,实现了相当的手术速度和高精度。此外,R-CAIS在上颌和下颌中植入直的和倾斜的种植体的准确性令人满意。