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Technique comparison for efficient orthodontic tooth measurements using digital models.

Heather M I Horton1, James R Miller, Philippe R Gaillard

  • 1Department of Developmental and Surgical Sciences, University of Minnesota School of Dentistry, Minneapolis, Minnesota 55455, USA.

The Angle Orthodontist
|November 13, 2009
PubMed
Summary
This summary is machine-generated.

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The occlusal measurement technique is the most accurate, repeatable, and fastest method for determining mesial-distal tooth widths on digital models. This finding aids in precise dental measurements for orthodontic and restorative applications.

Area of Science:

  • Dentistry
  • Orthodontics
  • Digital Imaging

Background:

  • Accurate measurement of mesial-distal tooth widths is crucial for dental diagnostics and treatment planning.
  • Digital models offer a convenient alternative to traditional stone casts, but measurement accuracy needs validation.

Purpose of the Study:

  • To compare the accuracy, repeatability, and speed of five different techniques for measuring mesial-distal tooth widths on digital dental models.

Main Methods:

  • Mesial-distal tooth widths were measured on 32 stone casts and their corresponding digital models.
  • Five digital measurement techniques were evaluated: occlusal aspect, zoomed occlusal, rotating facial, standard facial positions, and qualitative rotation.
  • Measurements were repeated thrice, with operator time recorded.

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Last Updated: Jun 18, 2026

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Main Results:

  • Four of five digital techniques showed slight overestimation compared to stone casts.
  • The occlusal aspect technique demonstrated the highest Pearson correlation (98.509%) and lowest Altman-Bland standard deviation (1.881 mm).
  • The occlusal technique was the second fastest (2 minutes 3 seconds), while qualitative rotation was the slowest (7 minutes 1 second).

Conclusions:

  • The occlusal measurement technique provides the optimal balance of accuracy, repeatability, and speed for assessing mesial-distal tooth widths on digital models.