PURPOSE: This study aimed to investigate the extent to which intraoral scanning are affected by clinical conditions, and whether ambient lighting and different color temperatures have an impact on the accuracy of intraoral scanner, as well as to evaluate scanning time. MATERIALS AND METHODS: Twelve different environments were created using various ambient lighting conditions (0, 500, 1000 and 1500 lux) and color temperatures (white, blue and yellow). A partially edentulous mandibular model with two implants and a three-unit bridge was scanned under each environment until 10 digital models were obtained, and scanning times were recorded using a virtual stopwatch. A 3D analysis was performed on the obtained digital models, and the data were analyzed using a software. The generalized linear model analysis and Tukey multiple comparison test were used to analyse the data (P < .05). RESULTS: The effect of lux, color temperature, and scanning times on RMS data was found to be significant (P < .001). The mean RMS value was the highest in the 0 lux group and the lowest in the 500 lux group. Regarding the color temperature, the highest RMS value was in the white color group and the lowest in the yellow color group. Scanning times were similar among the 0, 500 and 1000 lux groups, with a significant increase in the 1500 lux group. CONCLUSION Different ambient lighting conditions and color temperatures have significant effect on the accuracy of intraoral scanning.

PURPOSE: This study aimed to investigate the extent to which intraoral scanning are affected by clinical conditions, and whether ambient lighting and different color temperatures have an impact on the accuracy of intraoral scanner, as well as to evaluate scanning time. MATERIALS AND METHODS: Twelve different environments were created using various ambient lighting conditions (0, 500, 1000 and 1500 lux) and color temperatures (white, blue and yellow). A partially edentulous mandibular model with two implants and a three-unit bridge was scanned under each environment until 10 digital models were obtained, and scanning times were recorded using a virtual stopwatch. A 3D analysis was performed on the obtained digital models, and the data were analyzed using a software. The generalized linear model analysis and Tukey multiple comparison test were used to analyse the data (P < .05). RESULTS: The effect of lux, color temperature, and scanning times on RMS data was found to be significant (P < .001). The mean RMS value was the highest in the 0 lux group and the lowest in the 500 lux group. Regarding the color temperature, the highest RMS value was in the white color group and the lowest in the yellow color group. Scanning times were similar among the 0, 500 and 1000 lux groups, with a significant increase in the 1500 lux group. CONCLUSION Different ambient lighting conditions and color temperatures have significant effect on the accuracy of intraoral scanning.

PURPOSE: This study aimed to investigate the extent to which intraoral scanning are affected by clinical conditions, and whether ambient lighting and different color temperatures have an impact on the accuracy of intraoral scanner, as well as to evaluate scanning time. MATERIALS AND METHODS: Twelve different environments were created using various ambient lighting conditions (0, 500, 1000 and 1500 lux) and color temperatures (white, blue and yellow). A partially edentulous mandibular model with two implants and a three-unit bridge was scanned under each environment until 10 digital models were obtained, and scanning times were recorded using a virtual stopwatch. A 3D analysis was performed on the obtained digital models, and the data were analyzed using a software. The generalized linear model analysis and Tukey multiple comparison test were used to analyse the data (P < .05). RESULTS: The effect of lux, color temperature, and scanning times on RMS data was found to be significant (P < .001). The mean RMS value was the highest in the 0 lux group and the lowest in the 500 lux group. Regarding the color temperature, the highest RMS value was in the white color group and the lowest in the yellow color group. Scanning times were similar among the 0, 500 and 1000 lux groups, with a significant increase in the 1500 lux group. CONCLUSION Different ambient lighting conditions and color temperatures have significant effect on the accuracy of intraoral scanning.

PURPOSE: This study aimed to investigate the extent to which intraoral scanning are affected by clinical conditions, and whether ambient lighting and different color temperatures have an impact on the accuracy of intraoral scanner, as well as to evaluate scanning time. MATERIALS AND METHODS: Twelve different environments were created using various ambient lighting conditions (0, 500, 1000 and 1500 lux) and color temperatures (white, blue and yellow). A partially edentulous mandibular model with two implants and a three-unit bridge was scanned under each environment until 10 digital models were obtained, and scanning times were recorded using a virtual stopwatch. A 3D analysis was performed on the obtained digital models, and the data were analyzed using a software. The generalized linear model analysis and Tukey multiple comparison test were used to analyse the data (P < .05). RESULTS: The effect of lux, color temperature, and scanning times on RMS data was found to be significant (P < .001). The mean RMS value was the highest in the 0 lux group and the lowest in the 500 lux group. Regarding the color temperature, the highest RMS value was in the white color group and the lowest in the yellow color group. Scanning times were similar among the 0, 500 and 1000 lux groups, with a significant increase in the 1500 lux group. CONCLUSION Different ambient lighting conditions and color temperatures have significant effect on the accuracy of intraoral scanning.

PURPOSE: This study aimed to investigate the extent to which intraoral scanning are affected by clinical conditions, and whether ambient lighting and different color temperatures have an impact on the accuracy of intraoral scanner, as well as to evaluate scanning time. MATERIALS AND METHODS: Twelve different environments were created using various ambient lighting conditions (0, 500, 1000 and 1500 lux) and color temperatures (white, blue and yellow). A partially edentulous mandibular model with two implants and a three-unit bridge was scanned under each environment until 10 digital models were obtained, and scanning times were recorded using a virtual stopwatch. A 3D analysis was performed on the obtained digital models, and the data were analyzed using a software. The generalized linear model analysis and Tukey multiple comparison test were used to analyse the data (P < .05). RESULTS: The effect of lux, color temperature, and scanning times on RMS data was found to be significant (P < .001). The mean RMS value was the highest in the 0 lux group and the lowest in the 500 lux group. Regarding the color temperature, the highest RMS value was in the white color group and the lowest in the yellow color group. Scanning times were similar among the 0, 500 and 1000 lux groups, with a significant increase in the 1500 lux group. CONCLUSION Different ambient lighting conditions and color temperatures have significant effect on the accuracy of intraoral scanning.

PURPOSE: The purpose of this study was to evaluate the effect of provisional cement removal by different dentin cleaning protocols (dental explorer, pumice, cleaning bur, Er:YAG laser) on the shear bond strength between ceramic and dentin. MATERIALS AND METHODS: In total, 36 caries-free unrestored human third molars were selected as tooth specimens. Provisional restorations were fabricated and cemented with eugenol-free provisional cement. Then, disc-shaped ceramic specimens were fabricated and randomly assigned to four groups of dentin cleaning protocols (n = 9). Group 1 (control): Provisional cements were mechanically removed with a dental explorer. Group 2: The dentin surfaces were treated with a cleaning brush with pumice Group 3: The dentin surfaces were treated with a cleaning bur. Group 4: The provisional cements were removed by an Er:YAG laser. Self-adhesive luting cement was used to bond ceramic discs to dentin surfaces. Shear bond strength (SBS) was measured using a universal testing machine at a 0.05 mm/min crosshead speed. The data were analyzed using a Kolmogorov Smirnov, One-way ANOVA and Tukey HSD tests to perform multiple comparisons (alpha=0.05). RESULTS: The dentin cleaning methods did not significantly affect the SBS of ceramic discs to dentin as follows: dental explorer, pumice, cleaning bur, and Er:YAG laser. CONCLUSION: The use of different cleaning protocols did not affect the SBS between dentin and ceramic surfaces.
Ceramics ; Collodion ; Dental Porcelain ; Dentin ; Humans ; Molar, Third ; Silicates ; Tooth