Journal of Osseointegration

Randomized clinical trial on clinical performance of sectional non – invasive laminate veneers using the modified US Public Health System criteria

P. Papanagiotou — Thu, 12 Jun 2025 00:00:00 +0000

Purpose To compare the clinical performance of Sectional non – invasive laminate veneers (SNIVs) in patients with tooth diastemas in the frontal area.

Methods Ten patients with tooth diastema in the frontal area were included in this study. Each tooth diastema was treated with one feldspathic and one lithium disilicate sectional non-invasive laminate veneer. The veneers were evaluated by two investigators at baseline, immediately after cementation, at four and at twelve months of function according to the modified United States Public Health Service (USPHS) criteria. The parameters under evaluation included: anatomical form, marginal discoloration, marginal integrity, restoration color stability, secondary caries and surface texture.

Results Based on the clinical evaluation by the investigators, both groups had alterations in their anatomical form, developed marginal discoloration and loss of marginal integrity. On the other hand, the color of the restorations and the surface texture had no significant changes and no secondary caries were detected.

Conclusions Both groups of SNIVs had an acceptable clinical performance within 12 months of function in the oral cavity.

Evaluation of Color Stability of 3D Printing Resins After Exposure to Various Colorants: an in vitro study

G. Verniani, E. F. Cagidiaco, M. Pollis, W. S. Haichal, A. Casucci — Tue, 17 Jun 2025 00:00:00 +0000

Purpose. This study investigates the color stability of four types of 3D printing resins: TempPrint (TP) (GC), Varseo Smile Teeth (VST) (Bego), TrinQ (TQ)(Bego), and V-Print(VP) (Voco) when exposed to various colorants over a 30-day period.

Methods. A total of 200 disk-shaped specimens (10 mm × 2 mm) were printed using a DLP printer and exposed to four colorants: wine, Coca-Cola, tea, coffee and distilled water. Color changes were measured at 7, 15, and 30 days and total color differences (ΔE) were calculated.

Results. The results revealed significant discoloration across all resins, with wine and coffee inducing the most pronounced color changes. TP (GC) demonstrated the least discoloration in all solutions, particularly in water and Coca-Cola. VST(Bego) showed the highest degree of discoloration, especially in wine and coffee, with ΔE values reaching 20.54 after 30 days of immersion in coffee. TQ (Bego) and VP (Voco) exhibited intermediate levels of discoloration, with coffee causing the most severe color changes. Statistical analysis indicated significant differences in color stability between the resins, with wine and coffee causing more discoloration.

Clinical significance. These findings suggest that while all resins undergo color change when exposed to common beverages, the extent of discoloration varies based on resin composition, highlighting the need for material selection based on expected environmental exposure in practical applications.

A novel therapeutic strategy for periodontal regeneration of non-contained intrabony defects using autologous micrografts from the palatal mucosa

M. Aimetti, G. Baima, A. Bebars, C. Jarjoura, I. Roato, F. Mussano, F. Romano — Mon, 09 Jun 2025 00:00:00 +0000

Aims: Due to their accessibility and biological features, mesenchymal stem cells (MSCs) derived from the hard palate mucosa (PMSCs) hold significant promise for periodontal re-generation. This case series investigates the clinical and radiographic efficacy of autologous micrografts (AMGs) enriched in PMSCs for the treatment of non-contained defects in patients with severe periodontitis.

Materials and methods: Five patients presenting with at least one predominantly 1- or 2-wall intra-bony defect requiring periodontal regenerative surgery were consecutively enrolled. A small connective tissue sample was harvested from the palate, mechanically dissociated chair-side, and filtered to obtain AMGs enriched in PMSCs. The selected intrabony defects were filled with a resorbable scaffold seeded with a suspension containing AMGs.

Results: At the 6-month follow-up, a mean clinical attachment gain of 4.8 ± 1.8 mm was observed, along with a residual mean probing depth of 4.2 ± 0.8 mm and a radiographic bone fill of 3.6 ± 4.3 mm Characterization of AMGs was performed in two patients, demonstrating progenitor cells expressing MSC-specific surface markers.

Conclusions: These preliminary findings suggest that AMGs derived from the palatal mucosa may offer a promising approach for the regenerative treatment of intrabony defects with unfavorable architecture.

Accuracy of artificial intelligence in the prediction of cervical vertebrae maturation stages in orthodontics: a systematic review

C. Navone , T. Doldo — Fri, 21 Feb 2025 00:00:00 +0000

Objective To assess the ability of artificial intelligence in evaluating cervical vertebrae maturation stages to enhance orthodontic diagnosis considering as main outcome the accuracy of the AI software.

Materials and methods A search was conducted of 3 databases (Cochrane Library, PubMed/MEDLINE, EMBASE) to identify studies focusing on the ability of atificial intelligence in correctly evaluating the cervical vertebrae maturation stages. Databases were searched including articles until March 2024 only published in English. The Preferred Reporting Items for Reporting Systematic Reviews and Meta Analyses (PRISMA) protocol was adopted, two independent reviewers screened the articles and the agreement was defined by Kappa statistic. The quality of the studies was assessed through the New Castle-Ottawa scale. Due to heterogeneity of data a meta-analysis could not be performed.

Results The search initially returned 2.953 results and after removing duplicated the number dropped to 1.104. At the end, a total of 7 studies were included in this review. It was evident that AI systems are very good in performing the screening among big amount of data, capable of differentiating what the operator often can not evaluate.

Conclusion AI can be considered a powerful tool in helping the orthodontic diagnosis since these softwares can manage a big amount of data and perform always the same but on the other hand training of both clinicians and devices is of detrimental importance to overcome the phenomenon of overfitting and instrumental mistakes by the clinicians.