State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, Chengdu, Sichuan Province, China; West China School of Stomatology, Sichuan University, Chengdu, Sichuan Province, China.
College of Computer Science, Sichuan University, Chengdu, Sichuan Province, China.
J Dent. 2024 Apr;143:104929. doi: 10.1016/j.jdent.2024.104929. Epub 2024 Mar 6.
To evaluate the influence of intraoral scanning coverage (IOSC) on digital implant impression accuracy in various partially edentulous situations and predict the optimal IOSC.
Five types of resin models were fabricated, each simulating single or multiple tooth loss scenarios with inserted implants and scan bodies. IOSC was subgrouped to cover two, four, six, eight, ten, and twelve teeth, as well as full arch. Each group underwent ten scans. A desktop scanner served as the reference. Accuracy was evaluated by measuring the Root mean square error (RMSE) values of scan bodies. A convolutional neural network (CNN) was trained to predict the optimal IOSC with different edentulous situations. Statistical analysis was performed using one-way ANOVA and Tukey's test.
For single-tooth-missing situations, in anterior sites, significantly better accuracy was observed in groups with IOSC ranging from four teeth to full arch (p < 0.05). In premolar sites, IOSC spanning four to six teeth were more accurate (p < 0.05), while in molar sites, groups with IOSC encompassing two to eight teeth exhibited better accuracy (p < 0.05). For multiple-teeth-missing situations, IOSC covering four, six, and eight teeth, as well as full arch showed better accuracy in anterior gaps (p < 0.05). In posterior gaps, IOSC of two, four, six or eight teeth were more accurate (p < 0.05). The CNN predicted distinct optimal IOSC for different edentulous scenarios.
Implant impression accuracy can be significantly impacted by IOSC in different partially edentulous situations. The selection of IOSC should be customized to the specific dentition defect condition.
The number of teeth scanned can significantly affect digital implant impression accuracy. For missing single or four anterior teeth, scan at least four or six neighboring teeth is acceptable. In lateral cases, two neighboring teeth may suffice, but extending over ten teeth, including contralateral side, might deteriorate the scan.
评估口内扫描覆盖范围（IOSC）对各种部分缺牙情况下数字化种植体印模准确性的影响，并预测最佳 IOSC。
制作了五种类型的树脂模型，每种模型模拟了带有植入物和扫描体的单个或多个牙齿缺失情况。将 IOSC 分为覆盖两颗、四颗、六颗、八颗、十颗和十二颗牙齿以及全口的亚组。每组进行了十次扫描。使用台式扫描仪作为参考。通过测量扫描体的均方根误差（RMSE）值来评估准确性。使用卷积神经网络（CNN）训练来预测具有不同缺牙情况的最佳 IOSC。使用单因素方差分析和 Tukey 检验进行统计分析。
对于单个缺牙情况，在前牙部位，从四颗牙齿到全口的 IOSC 范围观察到明显更好的准确性（p < 0.05）。在前磨牙部位，覆盖四颗到六颗牙齿的 IOSC 更准确（p < 0.05），而在磨牙部位，覆盖两颗到八颗牙齿的组具有更好的准确性（p < 0.05）。对于多个缺牙情况，覆盖四颗、六颗和八颗牙齿以及全口的 IOSC 在前牙间隙中表现出更好的准确性（p < 0.05）。在后牙间隙中，覆盖两颗、四颗、六颗或八颗牙齿的 IOSC 更准确（p < 0.05）。CNN 预测了不同缺牙情况下的独特最佳 IOSC。
在不同的部分缺牙情况下，IOSC 对种植体印模准确性有显著影响。IOSC 的选择应根据特定的牙列缺损情况进行定制。
扫描的牙齿数量会显著影响数字化种植体印模的准确性。对于缺失的单个或四颗前牙，至少扫描四颗或六颗相邻牙齿是可以接受的。在侧方情况下，两颗相邻牙齿可能就足够了，但扩展到包括对侧在内的十颗牙齿可能会使扫描质量恶化。
