ABSTRACT
The advent of digital workflows has revolutionized oral rehabilitation, offering excellent prosthesis and restoration adaptation while reducing work time. This case report aims to describe a full-arch rehabilitation protocol using mucosa-supported prostheses through a digital workflow. The technique begins with scanning the upper jaw and taking an impression of the lower jaw, followed by scanning to create a digital cast. Next, border molding and the final impression of both arches are performed using a closed-mouth technique, during which the patient is guided to perform lateral and protrusive movements. Subsequently, intraoral scanning of the occlusion and both impressions is conducted, leading to the design of the final dentures with the established occlusion. Finally, the dentures are printed in Formlabs resin specifically designed for dentures. The digital workflow facilitates the manufacturing of mucosa-supported full-arch prostheses effectively. This method allows for the adjustment of the vertical dimension of occlusion, ensures excellent adaptation of the prosthesis to the soft tissues, and provides aesthetic satisfaction for the patient. Additionally, it reduces the number of sessions required to install the definitive prosthesis.
ABSTRACT
The study was inspired by the chemical surface analysis of a pigmented ceramic sample of a clinical case, which was submitted to a surface study, by means of a chemical chromatographic and electronic microscope. We also performed an "in-vitro" quali-quantitative experiment with 200 ceramic surfaces made of lithium disilicate and feldspar. Which were divided into different surface variables. We also executed mathematical calculations in order to calculate the Delta-E-1976 indicator, which determines the difference of color in ceramic surfaces. In this sense, we analyzed the values obtained with standardized polarized photographs, before and after submerging them into different pigmentation containers for 20 days. These values were compared with visual tests. We performed the mathematical analysis by using the SPSS-22 statistical package.
