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Translucency thresholds for dental materials.

Marianne Salas1, Cristina Lucena1, Luis Javier Herrera2

  • 1Department of Stomatology, Faculty of Dentistry, Campus de Cartuja s/n E-18071, University of Granada, Spain.

Dental Materials : Official Publication of the Academy of Dental Materials
|May 17, 2018
PubMed
Summary
This summary is machine-generated.

This study determined translucency thresholds for dental resin composites. The CIEDE2000 formula provided more accurate results for translucency perceptibility and acceptability thresholds compared to CIELAB.

Keywords:
CIEDE2000CIELABComposite resinDental materialsTranslucency parameterTranslucency thresholds

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Area of Science:

  • Dental Materials Science
  • Color Science
  • Visual Perception

Background:

  • Dental resin composites require precise color and translucency matching for aesthetic outcomes.
  • Existing color difference formulas may not fully capture visual perception of translucency in dental materials.

Purpose of the Study:

  • To establish translucency perceptibility and acceptability thresholds for dental resin composites.
  • To compare the efficacy of CIEDE2000 and CIELAB color difference formulas in determining these thresholds.

Main Methods:

  • A panel of 30 observers judged 50 pairs of resin composite discs for translucency.
  • Translucency Parameter (ΔTP) differences were calculated using CIEDE2000 (ΔTP00) and CIELAB (ΔTPab).
  • A Takagi-Sugeno-Kang Fuzzy Approximation was used to determine the 50:50% translucency perceptibility threshold (TPT) and acceptability threshold (TAT).

Main Results:

  • The CIEDE2000 formula yielded TPT of 0.62 and TAT of 2.62.
  • The CIELAB formula yielded TPT of 1.33 and TAT of 4.43.
  • Both formulas showed significant differences between perceptibility and acceptability thresholds (p<0.05), with CIEDE2000 offering a better data fit.

Conclusions:

  • The CIEDE2000 formula provides reliable thresholds for visual translucency differences in dental resin composites.
  • These established thresholds can guide the selection and clinical performance evaluation of resin composite materials.