Evaluation of an optimized shade guide made from porcelain powder mixtures

Wang, Peng; Wei, Jinxin

doi:10.1016/j.prosdent.2014.06.007

Cited by 7 publications

(9 citation statements)

References 19 publications

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“…Within the shade‐selection phase, the CCM system, which evaluates color objectively through instrumental measurements, can perform better results than the visual approach, which relies on the subjective perception of human beings . Color specimens used in the CCM system were similar to the final restorations in the thickness of each layer and the fabrication process, which would greatly reduce the errors in shade‐duplication phase . Theoretically, the newly developed CCM system can achieve perfect color matching.…”

Section: Discussionsupporting

confidence: 84%

“…In this study, the average E value of the visual color reproduction approach was 3.54 ± 1.11 and falls into the unacceptable color error range, which has been confirmed in several prior studies. 21,26,30 With respect to the CCM approach, the mean E value was 1.89 ± 0.75, which is significantly lower than that of the visual approach. The novel CCM system was superior to conventional visual method in tooth color replication and has the potential to be used clinically.…”

Section: Discussionmentioning

confidence: 70%

“…Theoretically, the newly developed CCM system can achieve perfect color matching. In this study, the average ΔE value of the visual color reproduction approach was 3.54 ± 1.11 and falls into the unacceptable color error range, which has been confirmed in several prior studies . With respect to the CCM approach, the mean ΔE value was 1.89 ± 0.75, which is significantly lower than that of the visual approach.…”

Section: Discussionmentioning

confidence: 99%

“…28,29 Color specimens used in the CCM system were similar to the final restorations in the thickness of each layer and the fabrication process, which would greatly reduce the errors in shade-duplication phase. 30 Theoretically, the newly developed CCM system can achieve perfect color matching. In this study, the average E value of the visual color reproduction approach was 3.54 ± 1.11 and falls into the unacceptable color error range, which has been confirmed in several prior studies.…”

Section: Discussionmentioning

confidence: 99%

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Evaluation of a Novel Computer Color Matching System Based on the Improved Back‐Propagation Neural Network Model

Wei

Peng

et al. 2016

Journal of Prosthodontics

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Section: Discussionsupporting

confidence: 84%

Section: Discussionmentioning

confidence: 70%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

See 2 more Smart Citations

Evaluation of a Novel Computer Color Matching System Based on the Improved Back‐Propagation Neural Network Model

Wei

Peng

et al. 2016

Journal of Prosthodontics

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“…ise 236 doğal dişin renk haritası çıkarılarak 14 renkten oluşan VITA VMK 95; VITA Zahnfabrik porselen tozlarından hazırlanan optimize bir skala geliştirmiş; Vitapan Classic'le karşılaştırmıştır. 24 Araş-tırmacılar incelenen populasyonun renk dağılımını daha iyi yansıtan bu skalaya göre hazırlanan restorasyonların daha başarılı olduğunu belirtmişlerdir.…”

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Actual Methods of Color Measurement: A Systematic Review

Kurt¹,

Bal²,

Bal³

2016

Turkiye Klinikleri J Dental Sci

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Assessment of coverage error for two common commercial dental shade guides using a spectrophotometric method

Tabatabaian

Khezri

Ourang

et al. 2021

Color Research & Application

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The purpose of this study was to assess the coverage error and the coverage error percentage for two common commercial dental shade guides named VITA classical A1‐D4 shade guide and VITA Toothguide 3D‐MASTER. Totally, 197 dental students with intact maxillary anterior teeth were randomly selected to participate in the study. CIELAB values of the teeth were measured with a spectrophotometer. The teeth matched shades were selected by using the spectrophotometer. ∆E00 and ∆E*ab color differences between the matched shades and the teeth shades were calculated. The mean ∆E00 and ∆E*ab values represented the coverage errors for the shade guides. The coverage error values were compared with the thresholds for perceptibility and acceptability using 1‐sample t test (α = 0.05). To calculate the coverage error percentages for the shade guides, a color matching error for the shade guides was considered when the color difference value was greater than the thresholds. For VITA classical shade guide, the coverage error was 3.0 ± 1.2 (∆E00) and 3.3 ± 1.3(∆E*ab) while the coverage error percentages ranged between 63.6% and 99.4%. For VITA 3D‐MASTER guide, the coverage error was 2.5 ± 1.3 (∆E00) and 2.9 ± 1.5 (∆E*ab) while the coverage error percentages ranged between 44.5% and 96.9%. Overall, the teeth were more reddish than their matched shades of the shade guides. Using these shade guides may cause inaccurate shade determination in the population studied due to their high coverage error and coverage error percentage values.

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Evaluation of an optimized shade guide made from porcelain powder mixtures

Cited by 7 publications

References 19 publications

Evaluation of a Novel Computer Color Matching System Based on the Improved Back‐Propagation Neural Network Model

Evaluation of a Novel Computer Color Matching System Based on the Improved Back‐Propagation Neural Network Model

Actual Methods of Color Measurement: A Systematic Review

Assessment of coverage error for two common commercial dental shade guides using a spectrophotometric method

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