Evaluation of Different Color Determination Methods

Summary

With the increasing aesthetic demands in dental practice, the accuracy and consistency of tooth color determination methods have gained importance for clinical success. This study aims to compare different tooth color determination methods in terms of accuracy and repeatability under in vivo conditions. A spectrophotometric system (VITA Easyshade V) will be used as the reference method. In comparison, the results obtained through visual assessment by observers, a digital intraoral scanner (TRIOS 3), and artificial intelligence-based color analysis systems will be evaluated. Statistical analyses will be conducted based on ΔE, L\*, a\*, b\*, and shade code data obtained from the measurements, and the agreement among the methods as well as their correlations with the spectrophotometer will be examined. This study aims to demonstrate the clinical validity of digital and AI-assisted methods and to emphasize the importance of objective approaches in tooth shade selection.

The aim of this study is to compare four different tooth color determination methods used in aesthetic dentistry-spectrophotometric system, observer-based visual assessment, digital intraoral scanner, and artificial intelligence-assisted analysis system-in terms of accuracy and repeatability under in vivo conditions. The study seeks to statistically evaluate and compare the color measurement values obtained from these methods with those of the spectrophotometric system, which is considered the reference method, and to determine the level of agreement among the methods. In addition, it aims to assess the clinical applicability and reliability of digital technologies and artificial intelligence-based systems in tooth color selection.

Conditions

• Shade Match
• Intraoral Scanner
• Artifical Intelligence

Interventions

OTHER

Observer-Based Shade Selection

Occlusal contact area will be calculated as a percentage of the total occlusal surface area in posterior teeth. Digital impressions will be acquired using the Medit i700 intraoral scanner. Contact points will be identified with the Medit Occlusal Analyzer plugin, and contact areas will be measured from STL files using ImageJ software (version 1.54). The percentage will be computed by dividing the total occlusal contact area by the total occlusal surface area. The color difference between the L\*, a\*, and b\* values obtained from each group and the reference measurement will be calculated using the CIEDE2000 (ΔE00) formula.

OTHER

Artificial Intelligence-Based Shade Selection

Photographs will be taken under natural light conditions, ensuring that both the tooth and the shade guide are visible in the same frame. These images will then be uploaded to the artificial intelligence system for analysis. The color difference between the L\*, a\*, and b\* values obtained from each group and the reference measurement will be calculated using the CIEDE2000 (ΔE00) formula.

OTHER

Digital Intraoral Scanner

Tooth shade selection will be performed on the middle third of the maxillary central incisor using the TRIOS 3 digital intraoral scanner. The color difference between the L\*, a\*, and b\* values obtained from each group and the reference measurement will be calculated using the CIEDE2000 (ΔE00) formula.

Sponsors & Collaborators

• Konya Necmettin Erbakan Üniversitesi

  lead OTHER

Eligibility

Min Age

18 Years

Max Age

50 Years

Sex

ALL

Healthy Volunteers

Yes

Timeline & Regulatory

Start

2025-05-07

Primary Completion

2025-05-07

Completion

2025-06-13

Countries

• Turkey (Türkiye)

Study Locations