Spectrophotometric Evaluation of Natural Tooth Color Distribution Across Three Dental Shade Guide Systems

  • Julija Zarkova Atanasova Faculty of Medical Sciences, Goce Delcev University, Stip, North Macedonia
  • Katerina Zlatanovska Faculty of Medical Sciences, Goce Delcev University, Stip, North Macedonia
  • Ljubica Proseva Pelivanova Faculty of Medical Sciences, Goce Delcev University, Stip, North Macedonia
  • Sandra Atanasova Faculty of Medical Sciences, Goce Delcev University, Stip, North Macedonia
  • Bruno Nikolovski Faculty of Medical Sciences, Goce Delcev University, Stip, North Macedonia
  • Natasha Longurova Faculty of Medical Sciences, Goce Delcev University, Stip, North Macedonia
  • Pavle Apostoloski Faculty of Medical Sciences, Goce Delcev University, Stip, North Macedonia
Keywords: Tooth color, Spectrophotometry, Shade guides, Esthetic dentistry

Abstract

Accurate determination of tooth color is fundamental to achieving optimal outcomes in restorative dentistry. Spectrophotometry has emerged as an objective method for color assessment, overcoming the limitations of visual shade selection. This study aimed to evaluate the distribution of natural tooth color using spectrophotometric measurements, to compare its representation across three dental shade guide systems, and to assess its variation according to sex and age. A total of 235 participants aged 18–69 years were included in this cross-sectional study. The shade of the maxillary central incisors was measured using a non-contact spectrophotometer (ShadePilot). The obtained values were matched to the VITA Classical, Ivoclar Chromascop, and VITA 3D-Master shade guides. Significant differences in shade distribution were observed across all three systems. Statistical analysis was performed using the Pearson Chi-square test (p < 0.05). Shades from Group A (VITA Classical), Group 100 (Chromascop), and Group 2 (VITA 3D-Master) were the most prevalent, with A2 (29.79%), 120 (25.53%), and 2M2 (15.74%) being the most frequently recorded shades, respectively. Both sex and age showed a statistically significant influence on tooth color (p < 0.05), with a clear trend toward darker shades in older age groups and among males. Natural tooth color distribution varies depending on the shade guide system used and is significantly influenced by demographic factors. Spectrophotometric analysis offers an objective method for shade determination, facilitating more accurate color matching and improved esthetic outcomes in clinical practice.

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References

Alvarado-Lorenzo, M., Lozano-Garcia, E., Colino-Gallardo, P., Pellicer Castillo, L. D., Díaz-Flores García, V., & Alvarado-Lorenzo, A. (2025). Impact of vision defects on tooth shade selection: A comparative study of spectrophotometry and shade guides in a cross-sectional clinical study. Journal of Clinical Medicine, 14(1), 293.

Chu, S. J., Trushkowsky, R. D., & Paravina, R. D. (2010). Dental color matching instruments and systems: Review of clinical and research aspects. Journal of Dentistry, 38(Suppl. 2), e2–e16.

Crespo, P. C., Córdova, A. K., Palacios, A., Astudillo, D., & Delgado, B. (2022). Variability in tooth color selection by different spectrophotometers: A systematic review. The Open Dentistry Journal, 16, e187421062211180.

Dozić, A., Kleverlaan, C. J., Aartman, I. H. A., & Feilzer, A. J. (2004). Relation in color of three regions of vital human incisors. Dental Materials, 20(9), 832–838.

Gasparik, C., Pérez, M. M., Ruiz-López, J., Ghinea, R. I., & Dudea, D. (2025). The color of natural teeth: A scoping review of in vivo studies. Journal of Dentistry, 158, 105725.

Hardan, L., Bourgi, R., Cuevas-Suárez, C. E., Lukomska-Szymanska, M., Monjarás-Ávila, A. J., Zarow, M., Jakubowicz, N., Jorquera, G., Ashi, T., Mancino, D., Kharouf, N., & Haikel, Y. (2022). Novel trends in dental color match using different shade selection methods: A systematic review and meta-analysis. Materials, 15(2), 468.

Hammad, I. A. (2003). Intrarater repeatability of shade selections. The Journal of Prosthetic Dentistry, 89(1), 50–53.

Haralur, S. B. (2015). Effect of age on tooth shade, skin color and skin-tooth color interrelationship in Saudi Arabian subpopulation. Journal of International Oral Health, 7(8), 33–36.

Hasegawa, A., Motonomi, A., Ikeda, I., & Kawaguchi, S. (2000). Color of natural tooth crown. Color Research and Application, 25(1), 43–48.

Hassel, A. J., Nitschke, I., Dreyhaupt, J., Wegener, I., Rammelsberg, P., & Hassel, J. C. (2008). Predicting tooth color from facial features and gender: Results from a white elderly cohort. The Journal of Prosthetic Dentistry, 99(2), 101–106.

Jaberi-Ansari, Z., & Saati, K. (2012). Evaluation of tooth color distribution in 20 to 30-year-old patients of Shahid Beheshti University related centers in 1389. Journal of Islamic Dental Association of Iran, 24(2), 60–66.

Kupke, L., Schwahn, C., Krey, K.-F., & Ratzmann, A. (2025). In vivo reproducibility of tooth shade determination on intraoral scans compared to the dental spectrophotometric method. Clinical Oral Investigations, 29, 185.

Lee, J.-H., & Kim, H.-K. (2024). A comparative study of shade-matching performance using an intraoral scanner, spectrophotometer, and visual assessment. Scientific Reports, 14(1), 23640.

Odioso, L. L., Gibb, R. D., & Gerlach, R. W. (2000). Impact of demographic, behavioral, and dental care utilization parameters on tooth color and personal satisfaction. Compendium of Continuing Education in Dentistry Supplement, 29, S35–S41.

Paravina, R. D. (2007). Optimization of tooth color and shade guide design. Journal of Prosthodontics, 16(4), 269–276.

Yamamoto, M. (1992). Metal-ceramics: Principles and methods. Quintessence Publishing.

Published
2026-06-30
How to Cite
Zarkova Atanasova, J., Zlatanovska, K., Proseva Pelivanova, L., Atanasova, S., Nikolovski, B., Longurova, N., & Apostoloski, P. (2026). Spectrophotometric Evaluation of Natural Tooth Color Distribution Across Three Dental Shade Guide Systems. European Scientific Journal, ESJ, 22(18), 1. https://doi.org/10.19044/esj.2026.v22n18p1
Section
ESJ Natural/Life/Medical Sciences