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Related Experiment Video

Updated: May 29, 2026

Accuracy in Dental Medicine, A New Way to Measure Trueness and Precision

Accuracy in Dental Medicine, A New Way to Measure Trueness and Precision

Published on: April 29, 2014

Data comparison between two dental spectrophotometers.

G Khashayar¹, A Dozic, C J Kleverlaan

¹Academic Centre for Dentistry Amsterdam, Dental Materials, Amsterdam, Netherlands. khashayar@acta.nl

Operative Dentistry

|September 28, 2011

Summary

This summary is machine-generated.

Two spectrophotometers for dental shade selection showed low correlation for CIE L*a*b* values. Direct comparison of shade codes was only 40% equal, limiting clinical interchangeability.

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Area of Science:

Dental materials science
Colorimetry
Clinical dentistry

Background:

Accurate dental shade selection is crucial for aesthetic restorations.
Spectrophotometers are increasingly used to objectively measure tooth color.
Comparing data from different devices is essential for clinical workflow integration.

Purpose of the Study:

To clinically evaluate the comparability of color data obtained from two different spectrophotometers.
To assess the interchangeability of CIE L*a*b* values and shade tab selections between devices.

Main Methods:

Two spectrophotometers (Vita Easyshade, Spectro Shade-Micro) measured three tooth areas (cervical, middle, incisal) in 102 participants.
Each area was measured thrice for average CIE L*a*b* coordinates and Vita Classical shade tabs.
Color differences (ΔE) were calculated using translated Vita tab L*a*b* values.

Main Results:

Regression analysis revealed low correlation coefficients for CIE L*a*b* values between the two devices.
Direct comparison of shade codes resulted in 40% exact matches and 51% clinical acceptability.
Significant discrepancies were observed in color data output.

Conclusions:

The two tested spectrophotometers do not provide comparable shade selection outputs.
Direct exchange of CIE L*a*b* values between these devices is not recommended.
Clinical decisions based on cross-device data may be unreliable.