Abstract:The CIELab and CIEDE2000 coverage error (ΔE* and ΔE', respectively) of basic shades of different gingival shade guides and gingiva-colored restorative dental materials (n = 5) was calculated as compared to a previously compiled database on healthy human gingiva. Data were analyzed using analysis of variance with Tukey-Kramer multiple-comparison test (P < .05). A 50:50% acceptability threshold of 4.6 for ΔE* and 4.1 for ΔE' was used to interpret the results. ΔE* / ΔE' ranged from 4.4/3.5 to 8.6/6.9. The majorit… Show more
“…The same is true for a recent study that utilized the same database as this one. It reported that color distribution of several commercial gingival shade guides and corresponding materials (light‐curing composite, flourapatite glass ceramic, nano‐fluorapatite layering ceramic, and feldspar veneering ceramic) exhibited CEs well above AT: CE ab of shade guides ranged from 5.0 to 7.3, and from 4.4 to 8.6 for gingiva‐colored materials . This study proposed new gingival shade guide models, providing significant reductions of CE, falling below the AT in 4‐cluster models for both CIELAB and CIEDE2000.…”
Section: Discussionsupporting
confidence: 52%
“…As CE varied depending the number of clusters/shade tabs (increasing the number of clusters provided lower CE and ME), the first null hypothesis of this study was rejected. The distribution of the gingival color points from the database is more harmonious and with relatively balanced frequency of tabs in 3–6 cluster models as compared with corresponding values for gingival shade guides and materials . These results were corroborated by the cross‐validation process.…”
Providing a shade guide model with a small number of tabs and a coverage error lower than the 50:50% acceptability threshold would be an optimal solution for shade matching in dentistry. However, no actual gingival or tooth shade guide complies with this. The clustering method, with optimization of both Coverage Error and Maximal Error and spectral clustering that enables more reliable color formulation of cluster representatives of shade guide models, represents an advance when it comes to computer modeling in dentistry.
“…The same is true for a recent study that utilized the same database as this one. It reported that color distribution of several commercial gingival shade guides and corresponding materials (light‐curing composite, flourapatite glass ceramic, nano‐fluorapatite layering ceramic, and feldspar veneering ceramic) exhibited CEs well above AT: CE ab of shade guides ranged from 5.0 to 7.3, and from 4.4 to 8.6 for gingiva‐colored materials . This study proposed new gingival shade guide models, providing significant reductions of CE, falling below the AT in 4‐cluster models for both CIELAB and CIEDE2000.…”
Section: Discussionsupporting
confidence: 52%
“…As CE varied depending the number of clusters/shade tabs (increasing the number of clusters provided lower CE and ME), the first null hypothesis of this study was rejected. The distribution of the gingival color points from the database is more harmonious and with relatively balanced frequency of tabs in 3–6 cluster models as compared with corresponding values for gingival shade guides and materials . These results were corroborated by the cross‐validation process.…”
Providing a shade guide model with a small number of tabs and a coverage error lower than the 50:50% acceptability threshold would be an optimal solution for shade matching in dentistry. However, no actual gingival or tooth shade guide complies with this. The clustering method, with optimization of both Coverage Error and Maximal Error and spectral clustering that enables more reliable color formulation of cluster representatives of shade guide models, represents an advance when it comes to computer modeling in dentistry.
“…For example, the coverage error (the mean of the best matches from one set of specimens to each sample of another set) above 1.8 (CIEDE2000) and 2.7 (CIELAB) can be interpreted through these sub‐categories of “unacceptability”. Although coverage error has been reported predominantly for comparisons between the existing dental shade guides and natural teeth and in computer modeling of shade guides, two recent papers reported on coverage error of gingiva‐colored dental materials to human gingiva . One of them reported that the coverage error for gingiva‐colored shade guides ranged from 3.6 to 5.3 (CIEDE2000) and from 5.0 to 7.3 (CIELAB), whereas corresponding values for gingiva‐colored dental materials were from 3.9 to 6.9 and from 4.4 to 8.6 (CIELAB) .…”
Section: Discussionmentioning
confidence: 99%
“…However, the color and esthetics of gingiva are far from irrelevant, drawing more attention of dental professionals and industry as the time passes by. Many restorative materials for gingiva are presently available, from resin composites and acrylics, through pink ceramic powders and milling products, to pink implants …”
Section: Introductionmentioning
confidence: 99%
“…Many restorative materials for gingiva are presently available, from resin composites and acrylics, through pink ceramic powders and milling products, to pink implants. 4 Visual thresholds for color discrimination have been a wellestablished quality control tool in industry. Visual thresholds in dentistry are valuable resource that can be used as quality control tool/ guide for selection and evaluation of dental materials, for interpretation of color-related findings (visual and instrumental) in clinical dentistry and dental research, and for standardization in dentistry.…”
The data on visual thresholds for healthy human gingiva can be used as quality control tool/guide for selection and evaluation of dental materials, interpretation of color-related findings in clinical dentistry and research, and for standardization in dentistry. It is of particular value that this study was designed based on in-vivo color evaluation of healthy keratinized gingiva of subjects of different ethnicities, age groups, and gender.
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