Bernauer Selina A, Wieland Philipp, Zitzmann Nicola U, Joda Tim
Department of Reconstructive Dentistry, UZB University Center for Dental Medicine Basel, University of Basel, 4058 Basel, Switzerland.
Clinic of Reconstructive Dentistry, Center for Dental Medicine, University of Zurich, 8032 Zurich, Switzerland.
J Clin Med. 2025 Jan 3;14(1):233. doi: 10.3390/jcm14010233.
The technical development of implant-supported fixed dental prostheses (iFDP) initially concentrated on the computer-aided manufacturing of prosthetic restorations (CAM). Advances in information technologies have shifted the focus for optimizing digital workflows to AI-based processes for design (CAD). This pre-clinical pilot trial investigated the feasibility of the automatic design of three-unit iFDPs using CAD software (Dental Manger 2021, 3Shape; DentalCAD 3.1 Rijeka, exocad GmbH). Two clinical scenarios based on a full dentition were created virtually. Physical models were produced and digitized using two intraoral scanners applying quadrant or full-arch scans (Trios3, 3Shape, Copenhagen, Denmark; and Primescan AC, Dentsply Sirona, Bensheim, Germany). For each scenario, iFDP designs were generated automatically using two laboratory software systems (Dental Manger 2021, 3Shape; DentalCAD 3.1 Rijeka, exocad GmbH), resulting in 80 STL datasets (2 scenarios × 2 scan strategies × 2 IOS systems × 5 scan repetitions × 2 software). The files were analyzed clinically for the contact schemes and pontic area. One of the automated designs for each scenario was manually post-processed and one iFDP design for each scenario was manually created by experienced dental technicians (control). The time required for all the design processes was recorded. The automatic design of iFDPs without manual adjustment did not lead to clinically acceptable restorations. The time required for the automatically generated/manually adjusted iFDPs designs was not significantly different to that for the manually designed restorations. Current laboratory software can not automatically generate three-unit iFDPs with clinically acceptable results in terms of the interproximal and occlusal contacts and the pontic design. The automatic iFDP design process currently requires manual adjustment, which means there is no benefit in terms of the working time compared with manually created restorations.
种植体支持的固定义齿（iFDP）的技术发展最初集中在修复体的计算机辅助制造（CAM）上。信息技术的进步已将优化数字工作流程的重点转移到基于人工智能的设计（CAD）流程上。这项临床前试点试验研究了使用CAD软件（Dental Manger 2021，3Shape；DentalCAD 3.1里耶卡，exocad GmbH）自动设计三单位iFDP的可行性。基于全牙列创建了两种虚拟临床场景。使用两台口腔内扫描仪进行象限或全牙弓扫描（Trios3，3Shape，丹麦哥本哈根；Primescan AC，登士柏西诺德，德国本斯海姆）制作并数字化物理模型。对于每种场景，使用两个实验室软件系统（Dental Manger 2021，3Shape；DentalCAD 3.1里耶卡，exocad GmbH）自动生成iFDP设计，从而产生80个STL数据集（2种场景×2种扫描策略×2种口腔内扫描系统×5次扫描重复×2种软件）。对这些文件进行临床接触方案和桥体区域分析。对每种场景的一个自动设计进行手动后处理，并由经验丰富的牙科技术人员手动创建每种场景的一个iFDP设计（对照）。记录所有设计过程所需的时间。未经手动调整的iFDP自动设计未产生临床可接受的修复体。自动生成/手动调整的iFDP设计所需时间与手动设计修复体所需时间无显著差异。就邻间和咬合接触以及桥体设计而言，当前的实验室软件无法自动生成具有临床可接受结果的三单位iFDP。目前的iFDP自动设计过程需要手动调整，这意味着与手动制作修复体相比，在工作时间方面没有优势。
