Background/Objectives: Pterygoid implant placement represents a valuable alternative to conventional bone grafting procedures in the rehabilitation of the atrophic posterior maxilla; however, the procedure remains technically demanding because of limited visibility, difficult access, complex pterygomaxillary anatomy, and the need for precise angulation and distal bicortical anchorage. Although digital guidance has increasingly been applied in implant dentistry, a clearly described workflow integrating automatic segmentation, selective virtual trimming of the posterior maxillary anatomy, and direct three-dimensional planning for static-guided pterygoid implant placement remains insufficiently detailed in the literature. The aim of this report was to describe and illustrate such a workflow in a proof-of-concept clinical application. Methods: This work was designed as a methodological proof-of-concept with a single clinical illustration. A CBCT dataset was imported into BlueSkyPlan, where automatic segmentation was used to generate three-dimensional models of the maxilla, teeth, and pterygoid process. The segmented volumes were then selectively trimmed to expose the relevant pterygomaxillary anatomy and to support direct three-dimensional planning of the implant axis in the rendered model. A static surgical guide with combined tooth and mucosal support was subsequently designed, positioned on a printed jaw model derived from the intraoral scan, and assessed by CBCT-based internal verification. Results: In this proof-of-concept application, the workflow enabled three-dimensional visualization of the pterygomaxillary trajectory, supported implant axis planning in the rendered model, and facilitated guide design and radiographic verification of the planned trajectory. The verification step provided an internal methodological consistency check between the planned implant axis and the drill-guided direction visible on CBCT. Conclusions: The present report describes a segmentation-assisted three-dimensional planning workflow for static-guided pterygoid implant placement in a single proof-of-concept clinical application. The workflow should be interpreted as a methodological illustration rather than a quantitative validation study. Further investigations are required to evaluate accuracy, inter-operator reproducibility, and broader clinical applicability.

Eucalyptus globulus is a widely cultivated medicinal species of recognized phytochemical richness and broad preclinical relevance across multiple biological and formulation-oriented application domains. This review aimed to integrate the available evidence on the botanical identity, phytochemical profile, preclinical biomedical relevance, and translational considerations within a single structured framework. A bibliometric-assisted narrative review approach was applied, based on targeted literature retrieval from scientific platforms (e.g., PubMed, ScienceDirect, MDPI, Google Scholar), complemented by keyword co-occurrence analysis and qualitative narrative synthesis. The reviewed literature indicates that E. globulus is characterized by a 1,8-cineole-rich essential oil together with non-volatile phenolic, flavonoid, and related secondary metabolites that support a wide range of reported biological activities. The strongest preclinical evidence concerns antimicrobial and antibiofilm effects in oral-health-related models, antioxidant and anti-inflammatory activity, respiratory relevance, wound-healing support, selected cytotoxicity-related effects, and emerging nano-enabled delivery systems. Overall, E. globulus represents a promising multifunctional species with substantial preclinical potential; however, direct clinical evidence remains limited, and future progress will depend on better phytochemical standardization, mechanistic clarification, and well-designed translational studies.

Background: Clinical evidence regarding lithium-silicate-modified zirconia veneers and partial-coverage restorations remains limited. This retrospective study compared the observed three-year outcomes of two complete adhesive restorative protocols rather than the isolated effects of ceramic materials. Materials and Methods: One hundred ceramic veneers and partial-coverage restorations placed in eleven patients were evaluated after a three-year follow-up. Fifty restorations were fabricated from lithium disilicate (IPS e.max Press; Ivoclar Vivadent AG, Schaan, Liechtenstein), and fifty were fabricated from zirconia (Aidite Biomedical Co., Ltd., Qinhuangdao, China) treated with the Biomic LiSi Connect system. No patient received both protocols. Clinical records, photographic documentation, and recall examinations were reviewed for fractures, chipping, marginal discoloration, surface wear, secondary caries, hypersensitivity, repairs, replacements, and debonding. Outcomes were analyzed descriptively because multiple restorations were clustered within patients and protocol allocation followed clinical indication. Wilson 95% confidence intervals (CIs) were reported for restoration-level proportions as descriptive measures and were not adjusted for clustering. Results: Both protocols showed 100% survival without replacement (95% CI: 92.9–100.0%). Debonding affected 6/50 zirconia restorations (12%; 95% CI: 5.6–23.8%) and 0/50 lithium disilicate restorations (0%; 95% CI: 0.0–7.1%). The six events occurred in five of seven zirconia patients and none of four lithium disilicate patients. All debonded restorations were recemented and remained functional. No fractures, chipping events, repairs, or replacements were recorded. Conclusions: No replacement or structural failure was observed during three years in this selected convenience cohort. However, the zirconia protocol had six retention-related interventions. Because the protocols differed in material, surface treatment, cement, indication, and anatomical distribution, the findings are exploratory and do not establish an isolated material effect.

Nasopharyngeal carcinoma is characterized by marked biological and clinical heterogeneity that is only partly captured by conventional anatomical staging. This narrative review examines how circulating biomarkers, radiomics, artificial intelligence (AI), molecular profiling, and functional tumor models may complement tumor-node-metastasis (TNM)-based risk stratification in nasopharyngeal carcinoma (NPC). Relevant literature was identified through searches of PubMed, ScienceDirect, and Google Scholar, primarily covering 2016–2026, with earlier landmark studies retained when relevant. Plasma Epstein–Barr virus (EBV) DNA is an established prognostic biomarker that complements anatomical staging, while longitudinal measurements provide information on treatment response and recurrence risk. Radiomics and AI offer additional possibilities for prognostic modeling, although their use in treatment selection remains investigational. Genomic, epigenomic, transcriptomic, single-cell, spatial, proteomic, and phosphoproteomic studies characterize tumor and microenvironmental heterogeneity. Organoids, xenografts, humanized models, and engineered three-dimensional systems provide complementary platforms for functional investigation.

Background/Objectives: Implant placement in transnasal and paranasal regions of the severely atrophic maxilla is challenged by complex anatomy and proximity to critical structures, particularly the nasolacrimal duct (NLD). While cortical anchorage is considered important for implant stability, structured methods for evaluating anatomical eligibility and anatomical risk during planning remain limited. This proof-of-concept study aimed to describe a segmentation-assisted workflow for anatomical assessment of potential paranasal implant trajectories. Methods: A single-case proof-of-concept workflow was developed using CBCT imaging and multi-component anatomical bone segmentation (MCABS). Segmented anatomical structures were used to selectively visualize cortical pathways within the anterior maxilla. Implant planning was performed using axial, non-tilted trajectories. Particular attention was directed toward visualization of the spatial relationship between the planned implant pathway and the nasolacrimal duct. Workflow feasibility was further explored through study-model fabrication, guided implant insertion, and axis-based verification. Results: The proposed workflow enabled selective visualization of cortical structures and facilitated identification of anatomically favorable implant trajectories within the paranasal region. The relationship between the planned implant pathway and the nasolacrimal duct could be directly assessed using the segmented anatomical model. Guided insertion in the study model demonstrated concordance between planned and executed implant axes, supporting the technical feasibility of the workflow. Conclusions: Within the limitations of a single-case proof-of-concept study, the proposed segmentation-assisted workflow may contribute to preoperative anatomical assessment of potential paranasal implant trajectories and their relationship to adjacent anatomical structures. The workflow should be regarded as a methodological demonstration rather than a validated clinical protocol. Further anatomical, reproducibility, biomechanical, and clinical studies are required before broader clinical adoption can be considered.