Int J Comput Dent. 2022 Nov 25;25(4):349-359. doi: 10.3290/j.ijcd.b2599407.
Creating wax-ups of missing teeth for backward planning in implant surgery is a complex and time-consuming process. To facilitate implant-planning procedures, the automatic generation of a virtual wax-up would be useful. In the present study, the reconstruction of missing teeth in partially edentulous patients was performed automatically using newly developed software. The accuracy was investigated in order to test its clinical applicability.
This study presents a new method for creating an automatic virtual wax-up, which could serve as a basic tool in modern implant-planning procedures. First, a statistical shape model (SSM) based on 76 maxillary and mandibular arch scans from dentally healthy individuals was generated. Then, artificially generated tooth gaps were reconstructed. The accuracy of the workflow was evaluated on a separate testing sample of 10 individuals with artificially created tooth gaps given as a median deviation, in millimeters. Scans of three clinical cases with partial edentulism were equally reconstructed using the SSM and compared with the final prosthodontic work.
The reconstruction of the artificial tooth gaps could be performed with the following median reconstruction accuracy: gap 21 with 0.15 mm; gap 27 with 0.20 mm; gap 34 with 0.22 mm: gap 36 with 0.22 mm; gaps 12 to 22 with 0.22 mm; gaps 34 to 36 with 0.22 mm. A scenario for an almost edentulous mandible with all teeth missing except teeth 33 and 43 could be reconstructed with a median reconstruction accuracy of 0.37 mm. The median tooth gap deviation of the SSM-based reconstruction in clinical cases differed from the final inserted prosthodontic teeth by 0.49 to 0.86 mm in median.
A first feasibility of creating virtual wax-ups using an SSM could be shown. Artificially generated tooth gaps could be reconstructed close to the original with the proposed workflow. In the clinical cases, the SSM proposes an anatomical reconstruction, which does not yet consider prosthodontic aspects. To obtain clinical use, contact with antagonist teeth must be considered and more training data must be implemented. However, the presented method offers a fast and viable way for the approximate placement of missing crowns. This could be used in a digital planning workflow when implant position must be determined. (Int J Comput Dent 2022;25(4):349-0; doi: 10.3290/j.ijcd.b2599407).
为了进行种植手术的逆向规划,为缺失牙制作蜡型是一个复杂且耗时的过程。为了简化种植规划程序,自动生成虚拟蜡型将非常有用。在本研究中,使用新开发的软件自动重建了部分缺牙患者的缺失牙。为了测试其临床适用性,对其准确性进行了研究。
本研究提出了一种新的自动虚拟蜡型制作方法,可作为现代种植规划程序中的基本工具。首先,基于 76 例牙列完整的上颌和下颌弓扫描数据,生成了一个基于统计形状模型(SSM)的模型。然后,人工生成的牙间隙被重建。在一个独立的测试样本中,以毫米为单位的中位数偏差评估了工作流程的准确性,该测试样本由 10 名人工制作牙间隙的个体组成。同样使用 SSM 对 3 例具有部分缺牙的临床病例进行了重建,并与最终的修复体工作进行了比较。
人工牙间隙的重建可以达到以下精度:间隙 21 的重建精度为 0.15mm;间隙 27 的重建精度为 0.20mm;间隙 34 的重建精度为 0.22mm;间隙 36 的重建精度为 0.22mm;间隙 12 到 22 的重建精度为 0.22mm;间隙 34 到 36 的重建精度为 0.22mm。除了 33 和 43 号牙之外,所有牙齿缺失的下颌几乎无牙的情况可以用中位数重建精度为 0.37mm 来重建。基于 SSM 的重建的临床病例中,牙间隙的中位数偏差与最终插入的修复体牙之间的差异中位数为 0.49 至 0.86mm。
首次展示了使用 SSM 制作虚拟蜡型的可行性。通过所提出的工作流程,可以接近原始状态重建人工牙间隙。在临床病例中,SSM 提出了一种解剖学重建,尚未考虑修复体方面。为了获得临床应用,必须考虑与对颌牙的接触,并实施更多的训练数据。然而,所提出的方法为缺失牙冠的大致放置提供了一种快速且可行的方法。当需要确定种植体位置时,该方法可用于数字规划工作流程。