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Related Concept Videos

Tooth Anatomy01:21

Tooth Anatomy

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The human tooth enables us to eat a variety of foods, speak clearly, and even aid in shaping our faces. Teeth are composed of various elements that work together. Here's a detailed look at the anatomy of a human tooth.
The Crown, Neck, and Root
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Abrasion resistance is an essential characteristic of concrete that determines its durability and longevity under various wear conditions. Concrete surfaces are vulnerable to different types of abrasion. For instance, surfaces may wear down due to the constant movement of vehicles or be eroded by solids carried in water, as seen in concrete canal linings. Specific tests are conducted to measure the abrasion resistance of concrete.
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Related Experiment Video

Updated: Mar 26, 2026

Mimicking and Measuring Occlusal Erosive Tooth Wear with the "Rub&Roll" and Non-contact Profilometry
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Dental Surface Texture Characterization Based on Erosive Tooth Wear Processes.

A T Hara1, S V Livengood2, F Lippert3

  • 1Indiana University School of Dentistry, Indianapolis, IN, USA ahara@iu.edu.

Journal of Dental Research
|February 6, 2016
PubMed
Summary
This summary is machine-generated.

Surface texture analysis can differentiate dental wear lesions like erosion and abrasion. Parameters such as area-scale fractal complexity (Asfc) accurately identified lesion types on enamel and dentin, improving diagnosis.

Keywords:
dentindiagnosisenameltooth abrasiontooth erosiontoothbrushing

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Quasistatic Mechanical Testing for Computer-Aided Design and Manufacturing Occlusal Veneers Cemented to Milled Dentin Analog Material

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Area of Science:

  • Dental Biomaterials Science
  • Surface Metrology
  • Restorative Dentistry

Background:

  • Accurate diagnosis of dental wear lesions is crucial for effective clinical management.
  • Simulated dental wear lesions (erosion, abrasion, erosion-abrasion) present diagnostic challenges.
  • Surface texture parameters offer a potential method for objective lesion differentiation.

Purpose of the Study:

  • To investigate if surface texture parameters can differentiate simulated dental wear lesions (erosion, abrasion, erosion-abrasion) on human enamel and dentin.
  • To compare the efficacy of different surface texture parameters in classifying lesions on polished and natural dental surfaces.

Main Methods:

  • An in vitro study using human enamel and dentin specimens with four lesion types: erosion, abrasion, erosion-abrasion, and sound (control).
  • Evaluation of surface texture using average surface roughness (Sa) and fractal analysis parameters: area-scale fractal complexity (Asfc), exact proportion length-scale anisotropy of relief (eplsar), scale of maximum complexity (Smc), and textural fill volume (Tfv).
  • Statistical analysis using two-way ANOVA and classification trees to assess parameter performance on polished (Part 1) and natural (Part 2) surfaces.

Main Results:

  • In Part 1 (polished surfaces), Asfc, Sa, and Tfv differentiated erosion/erosion-abrasion from sound controls on both enamel and dentin. Asfc uniquely identified enamel lesions.
  • Classification trees achieved up to 84% accuracy on enamel and 94% on dentin in Part 1.
  • In Part 2 (natural surfaces), Asfc differentiated erosion/erosion-abrasion from sound controls, while eplsar distinguished erosion from erosion-abrasion on both substrates.

Conclusions:

  • Surface texture parameters, particularly Asfc, Sa, and Tfv, can effectively differentiate simulated erosion and erosion-abrasion lesions from sound tooth structure.
  • The combination of parameters demonstrated strong potential for classifying dental wear lesions on both polished and natural enamel and dentin surfaces.
  • Objective surface texture analysis provides a promising tool to aid in the differential diagnosis of dental wear, supporting improved clinical management strategies.