Exploring the Learning Curve of Dental Implant Placement Using a Task‐Autonomous Robotic System Among Young Dentists From Different Specialties—A Pilot Module Study

学习曲线 植入 医学 冠状面 前磨牙 牙科 牙种植体 象限(腹部) 口腔正畸科 锥束ct 计算机断层摄影术 外科 计算机科学 臼齿 操作系统 放射科
作者
Minjie Zhuang,Jinyan Chen,Baoxin Tao,Meisha Gul,Feng Wang,Yiqun Wu
出处
期刊:Clinical Implant Dentistry and Related Research [Wiley]
卷期号:27 (1): e13402-e13402 被引量:12
标识
DOI:10.1111/cid.13402
摘要

ABSTRACT Background 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. Purpose 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. Methods and Materials 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). Results 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. Conclusions 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.
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