Department of Periodontics and Oral Medicine, School of Dentistry, University of Michigan, 1011 North University Avenue, Ann Arbor, MI, 48109-1078, USA.
Department of Biologic and Materials Sciences & Prosthodontics, School of Dentistry, University of Michigan, Ann Arbor, MI, USA.
Clin Oral Investig. 2022 Aug;26(8):5449-5458. doi: 10.1007/s00784-022-04512-y. Epub 2022 May 2.
The aim of this study is to evaluate the effect of guide level on the accuracy of static computer-aided implant surgery (sCAIS) at post-extraction sockets and healed sites.
A total of 30 duplicate dental models, with 300 potential implant sites, were used. All the models were equally randomized into three groups: fully guided (FG, n = 100), partially guided (PG, n = 100), and free handed (FH, n = 100) surgeries. After implant placement, the mean global, horizontal, depth, and angular deviations between the virtually planned and actual implant positions were measured automatically by a Python script within software Blender.
Both FG and PG surgeries showed significantly higher accuracy than FH surgery at post-extraction sockets and healed sites. In both sCAIS groups, there were nearly 50% more deviations from implants placed at sockets than those from delayed placement. For the immediate implant placement, the accuracy of sCAIS was significantly affected by the level of guidance. The FG group exhibited lower deviations than the PG group, with a significant difference in coronal global and horizontal deviations (p < .05). For the healed sites, two guided groups exhibited similar outcomes (p > .05).
sCAISs provide more accuracy than the free-handed approach in position transferring from planning to a model simulation. Full guidance can significantly increase the accuracy, especially at post-extraction sites.
Guided protocols showed significantly higher accuracy than free-handed surgery regardless of implantation timing, but both had nearly 50% more deviations in immediate implant placement.
本研究旨在评估导板对拔牙窝和愈合位点中静态计算机辅助种植手术(sCAIS)准确性的影响。
共使用 30 个复模,其中有 300 个潜在种植体部位。所有模型均等分为三组:全引导组(FG,n = 100)、部分引导组(PG,n = 100)和徒手组(FH,n = 100)。植入物放置后,通过 Python 脚本在 Blender 软件内自动测量虚拟规划与实际植入物位置之间的平均全局、水平、深度和角度偏差。
FG 和 PG 手术在拔牙窝和愈合位点的准确性均显著高于 FH 手术。在 sCAIS 两组中,近 50%的偏差是由于在拔牙窝中植入物的位置与在延迟植入物的位置之间的差异。对于即刻植入,sCAIS 的准确性受到引导水平的显著影响。FG 组的偏差明显低于 PG 组,在冠状面全局和水平偏差方面有显著差异(p < .05)。对于愈合位点,两个引导组的结果相似(p > .05)。
sCAIS 在从规划到模型模拟的位置转移中提供比徒手方法更高的准确性。全引导可显著提高准确性,尤其是在拔牙窝中。
无论种植时机如何,引导方案的准确性均显著高于徒手手术,但即刻植入时的偏差增加近 50%。