目的:评估口腔内扫描覆盖率(IOSC)在各种部分缺牙情况下对数字植入物印模准确性的影响,并预测最佳IOSC。
方法:制作了五种树脂模型,每个模拟单个或多个牙齿缺失的情况下,插入植入物和扫描身体。IOSC被分组为涵盖两个,四,六,八,十,和十二颗牙齿,以及完整的拱门。每组进行十次扫描。桌面扫描仪作为参考。通过测量扫描体的均方根误差(RMSE)值来评估准确性。训练卷积神经网络(CNN)以预测不同无牙情况下的最佳IOSC。采用单因素方差分析和Tukey检验进行统计学分析。
结果:对于单齿缺失的情况,在前部,在IOSC范围从四颗牙齿到完整牙弓的组中观察到明显更好的准确性(p<0.05)。在前磨牙部位,跨越四至六颗牙齿的IOSC更准确(p<0.05),而在磨牙部位,包含2至8颗牙齿的IOSC组表现出更好的准确性(p<0.05)。对于多颗牙齿缺失的情况,IOSC涵盖四个,六,八颗牙齿,以及完整的足弓在前间隙中显示出更好的准确性(p<0.05)。在后面的缝隙中,两个IOSC,四,6或8颗牙齿更准确(p<0.05)。CNN为不同的无牙情况预测了不同的最佳IOSC。
结论:在不同的部分无牙情况下,IOSC可以显着影响植入物的印模准确性。IOSC的选择应根据特定的牙列缺损情况进行定制。
结论:扫描的牙齿数量可以显着影响数字植入物的印模准确性。对于缺失的单颗或四颗前牙,扫描至少四颗或六颗相邻的牙齿是可以接受的。在侧方病例中,两个相邻的牙齿就足够了,但是延伸了十颗牙齿,包括对侧,可能会恶化扫描。
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.