Influence of Gender on Visual Shade Matching in Dentistry

Self Cite

“…Due to this limitation, CIEDE2000 color difference metric (

{Δ E}_{00}

) was developed. Recent studies that compared both metrics have demonstrated that

{Δ E}_{00}

presented a better correlation with visual perception than

{Δ E}_{normala normalb}^{*}

. Therefore, the present study used

{Δ E}_{00}

to evaluate color stability of RC.…”

Section: Discussionmentioning

confidence: 95%

“…Recent studies 15,[18][19][20] that compared both metrics have demonstrated that DE 00 presented a better correlation with visual perception than DE Ã ab . Therefore, the present study used DE 00 to evaluate color stability of RC.…”

Section: Discussionmentioning

confidence: 99%

Influence of composite type and light irradiance on color stability after immersion in different beverages

Silva

Pecho

et al. 2018

Self Cite

“…The parametric factors, K L , K C , K H are correction terms for variation in experimental conditions. Under reference conditions, they are all set at 1 …”

Section: Methodsmentioning

confidence: 99%

“…Under reference conditions, they are all set at 1. [46][47][48] The data were compared with thresholds for color perceptibility (PT) and acceptability (AT). 27 The supplementary data file rec-…”

Section: Color Calculationsmentioning

confidence: 99%

Effect of glazing on translucency, color, and surface roughness of monolithic zirconia materials

Manziuc

Gasparik

Burde

et al. 2019

Objectives To assess the effect of material, thickness and glazing upon the color, translucency, and roughness of monolithic zirconia. Materials and methods Sixty discs (0.8, 1.5, and 2 mm thickness) were fabricated from A1 translucent zirconia (IPS e.max ZirCAD/MT, Katana/HT, Vita YZ/HT, Cercon/HT) and glazed. Roughness (Ra) was assessed with a profilometer and color coordinates were measured with a spectrophotometer on a black, white, and tooth‐shaded background before and after glazing. Relative translucency parameter (RTP), color differences (CIEDE2000) and differences in translucencies between materials, before and after glazing were calculated. RTP, Ra, color differences were statistically analyzed using ANOVA. Any significant interaction between factors was further analyzed using Tukey's HSD. Results RTP values were significantly different between materials (P < .001) and thicknesses (P < .001), with the interaction effect between material type and thickness, also significant (P < .001). However, glazing did not have a significant effect on RTP values (P = .782). Color differences resulted after glazing were significantly different between materials (P < .001), and thicknesses (P < .001) with the interaction effect also significant (P < .001). Glazing influenced roughness, Ra decreasing for all materials (P < .001). Conclusions As a result of glazing, only color changes were statistically significant. Translucency varied among brands of precolored monolithic zirconia; the differences increased for greater thicknesses. Clinical significance Glazing is an important step in the technological process of ceramic restorations; however, it can influence the final optical appearance of the restoration as color changes could be expected after the application of the glaze.

“…The traditional belief of females being better than males in shade selections are reported by many authors but there are also diametrically opposite and neutral views …”

Section: Introductionmentioning

confidence: 99%

The effect of gender and clinical experience on shade perception

Aswini

Ramanarayanan

Rejithan

et al. 2019

Objective Shade matching is a critical procedure in prosthetic dentistry. The correct identification of the shade by the doctor as well as the perception of the shade by the dental technician becomes critical due to the high patient expectations. The current study aims to evaluate the effect of gender and clinical experience on shade perception by dental professionals. Materials and Methods A total of 100 dental professionals with normal color vision who were categorized as dental students, dental doctors, and dental specialists were included in the study. Masked A2 and B2 shades tabs were made to match with a complete set of shade guide. The obtained data were entered, coded, and analyzed using SPSS version 17 for Windows. Results Total number of participants who identified both shade tabs correctly was 44%. There were no statistically significant differences among the gender or the clinical experience with regard to correct identification of shade tabs. Conclusion Within its limitations of fewer number (two) of shade tabs for comparison, the study concludes that multiple opinions may be taken clinically irrespective of the gender or clinical experience as gender and experience do not have a significant role to play for shade matching in prosthetic and restorative dentistry.