Clinical agreement of tooth shade selection using visual, digital photography, and spectrophotometric methods: An in vivo study

Background Accurate tooth shade selection is essential for achieving predictable esthetic outcomes in restorative dentistry. Conventional visual shade matching using shade guides remains widely practiced but is inherently subjective and influenced by operator perception and environmental variables. Digital photography and spectrophotometers have been introduced to enhance objectivity; however, their clinical agreement with visual methods remains inconsistent. Objectives To evaluate natural tooth shade determination using visual shade selection, non-calibrated clinical digital photography, and spectrophotometric assessment by analyzing clinically meaningful agreement, color differences (ΔE), and intermethod correlations. Materials and Methods An in vivo study was conducted on 100 dentate individuals aged 18–30 years. Tooth shade was determined using visual shade matching with the VITA 3D-Master guide, digital photography followed by Commission Internationale de l’Éclairage (CIE) L*a*b* analysis using Adobe Photoshop CC, and spectrophotometric measurement using the VITA Easyshade device. Intermethod agreement, correlation, and color differences (ΔE) among the three methods were statistically analysed. Results Visual shade selection demonstrated fair agreement with spectrophotometric measurements, whereas non-calibrated clinical digital photography showed limited clinical agreement. Visual assessment exhibited stronger consistency for hue than for value or chroma. Digital photography demonstrated significant correlations with spectrophotometric CIEL*a*b* parameters; however, most observations exceeded the clinically acceptable threshold (ΔE > 2), indicating that statistical correlation did not necessarily correspond to clinically acceptable agreement. Conclusion Within the limitations of this study, spectrophotometric assessment demonstrated the greatest agreement under the study conditions and may serve as a useful reference method for clinical shade verification. Visual shade selection showed fair agreement, whereas non-calibrated clinical digital photography demonstrated limited clinical agreement despite statistically significant numerical correlations. These findings suggest that statistical correlation alone does not necessarily translate into clinically acceptable color agreement. Clinical Implications Visual and digital shade selection methods alone may result in clinically perceptible color mismatches. Spectrophotometric verification may improve shade communication and objective color assessment. A combined approach integrating visual assessment, digital photography, and spectrophotometric analysis may enhance clinician–technician communication during restorative treatment planning.