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CBCT re-orientation (Patient #1): (a) frontal alignment of CBCT—centering and orienting with the orbital line parallel to the horizontal line; (b) lateral view with the Frankfort plane set as the horizontal plane.

CBCT re-orientation (Patient #1): (a) frontal alignment of CBCT—centering and orienting with the orbital line parallel to the horizontal line; (b) lateral view with the Frankfort plane set as the horizontal plane.

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Article
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Background: In recent years, advancements in digital dentistry have provided new opportunities for more predictable and efficient treatment options, particularly in patients with failing dentition. This study aimed to evaluate the effectiveness and accuracy of a fully digital workflow using stackable surgical templates for complete dental arch reha...

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... Thus, we might conclude that the deviations have no impact on the implant success rate. In view of prosthetic failures, there are no correlations with implant angulation, as the multi-unit abutments can even compensate angulations of up to 80 • in some cases [42,43]. This means that the described angular deviations are within the absolutely clinically acceptable range. ...
Article
Full-text available
Background: Digital planning and the use of a static surgical guide for implant placement provide predictability and safety for patients and practitioners. The aim of this study was to investigate differences in the accuracy and fit of long and short guides. Methods: In patients with at least one missing tooth, long (supported by the entire dental arch) and short templates (supported by two teeth, mesial and distal) were compared via intraoral scans and the superimposition of the STL files of the initial planning and the actual position in the patient’s mouth along the X-, Y- and Z-axes. Furthermore, this study evaluated the conditions (e.g., mouth opening, the implant position) under which fully guided implantation can be realized. Results: The largest deviation was observed in the Z-axis, although this deviation was not as high for the short templates (0.2275 mm) as it was for the long templates (0.4007 mm). With respect to the 3D deviation (dXYZ), the average deviation from the mean value was 0.2953 mm for the short guides and 0.4360 mm for the long guides (p = 0.002). The effect size (Cohen’s d) was 0.709, which was between the medium (0.50) and large effect sizes (0.80). The shorter templates showed a smaller deviation from the actual plan by 80%. With a mouth opening ≥50 mm, fully guided surgery can be performed in the molar region. In the premolar region, the lower limit was 32 mm. Conclusions: The 3D accuracy was significantly higher for the shorter template, which could therefore be favored.
... Moreover, future advancements in AI-based segmentation may help address inaccuracies caused by metal artifacts [21]. For terminal dentitions, a guided computer-assisted implant placement protocol that can take advantage of the remaining teeth or roots has to be followed, to overcome the reduced support for the surgical guides in edentulous patients [13,18,36]. ...
Article
Objectives To demonstrate the implementation of a digital workflow for the rehabilitation of a terminal dentition patient with complete‐arch implant‐supported prostheses. Clinical Considerations A virtual patient‐oriented workflow can facilitate interdisciplinary treatment planning, improving the synergism between surgical and prosthetic procedures. Digital technologies assisted the acquisition of prosthetic information and optimized dental implant placement, provisional restoration fabrication, and delivery of definitive prostheses. Conclusions Digital processing methods enable the integration of cutting‐edge technological innovations, with fundamental prosthetic and surgical principles, to build individualized workflows for immediate implant placement and loading, aiming to provide improved patient care in comprehensive rehabilitation. To ensure predictable outcomes, a thorough diagnosis and data collection are needed for selecting the appropriate digital workflow, based on the latest scientific evidence. Clinical Significance For patients with terminal dentition, clinicians can integrate artificial intelligence (AI) driven applications to form a comprehensive treatment plan. The virtual treatment plan can then be transferred to clinical practice, enabling surgical and prosthetic interventions for complete‐arch, immediate implant placement and loading through a digital workflow.