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Related Experiment Video

Updated: Jul 9, 2026

Measuring Maxillary Posterior Tooth Movement: A Model Assessment using Palatal and Dental Superimposition

Measuring Maxillary Posterior Tooth Movement: A Model Assessment using Palatal and Dental Superimposition

Published on: February 23, 2024

Predicting first molar width using virtual models of dental arches.

Seung-Pyo Lee¹, Ralph Delong, James S Hodges

¹Department of Oral Anatomy, BK 21, Dental Research Institute and School of Dentistry, Seoul National University, Seoul, South Korea. orana9@snu.ac.kr

Clinical Anatomy (New York, N.Y.)

|December 20, 2007

Summary

Predicting first molar width from dental arch dimensions is now possible using 3D digital methods. This aids in restoring missing teeth and designing prosthodontics, improving dental restorations.

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Related Experiment Videos

Last Updated: Jul 9, 2026

Measuring Maxillary Posterior Tooth Movement: A Model Assessment using Palatal and Dental Superimposition

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Published on: February 23, 2024

Measuring the Complete-arch Distortion of an Optical Dental Impression

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Published on: May 30, 2019

Force System with Vertical V-Bends: A 3D In Vitro Assessment of Elastic and Rigid Rectangular Archwires

Force System with Vertical V-Bends: A 3D In Vitro Assessment of Elastic and Rigid Rectangular Archwires

Published on: July 24, 2018

Area of Science:

Dentistry
Digital Odontology
Biometrics

Background:

Restoring extensive dental areas often lacks original anatomical data.
Predicting missing tooth anatomy from existing structures is crucial for accurate dental restorations.

Purpose of the Study:

To investigate the relationship between first molar mesiodistal width and dental arch shape.
To develop predictive models for missing first molar width using 3D digital analysis.

Main Methods:

Utilized 3D digital models from 167 dental students' full-mouth casts.
Measured arch dimensions and first molar widths using novel virtual plane definitions.
Employed linear mixed models and assessed intraobserver reproducibility (ICC, SDME).

Main Results:

High correlation (r > 0.70) found between maxillary and mandibular first molar widths (P < 0.01).
Low intraobserver error demonstrated (ICC > 0.92, SDME 0.11-0.21 mm).
Developed regression equations for predicting first molar width from arch dimensions.

Conclusions:

3D digital methods enable reliable prediction of first molar width from arch dimensions.
This approach supports virtual design of missing molars and automatic prosthodontic restorations.
Established new reference points for virtual dental models, surpassing traditional measurement limitations.