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Related Concept Videos

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Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
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Quantifying Mixing using Magnetic Resonance Imaging
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A novel method for assessing oral mixing ability based on the spatial clusters quantified by variogram.

Kuang-Chuan Lo1, Hsiao-Han Lin1, Chia-Shu Lin1,2,3

  • 1Department of Dentistry, School of Dentistry, National Yang-Ming University, Taipei, Taiwan.

Journal of Oral Rehabilitation
|April 30, 2020
PubMed
Summary

The variogram range (VARG) effectively quantifies oral mixing ability using the two-colour chewing test (TCCT). This spatial index better predicts posterior tooth contact than other measures.

Keywords:
chewing gumdentitiongeriatric assessmentmasticationstomatognathic system

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Area of Science:

  • Oral health research
  • Biomedical engineering
  • Dental diagnostics

Background:

  • The two-colour chewing test (TCCT) assesses oral mixing ability, crucial for masticatory performance.
  • Previous TCCT studies focused on colour distribution evenness, neglecting colour clustering.
  • The validity of colour clustering as an index for oral mixing ability was unexplored.

Purpose of the Study:

  • To investigate oral mixing ability using spatial clusters quantified by variogram.
  • To determine if variogram-based spatial indices can predict posterior tooth contact status.

Main Methods:

  • Fifty older adults underwent the two-colour chewing test (TCCT) and colour-changeable chewing gum test (CCGT).
  • Quantified colour change (ΔE) for CCGT; highest peak (HP), standard deviation of colour (SDC), and variogram range (VARG) for TCCT.
  • Participants categorized by Eichner Index (EI) based on posterior tooth contacts.

Main Results:

  • HP, SDC, and VARG showed significant differences across EI groups.
  • Higher VARG (less clustering) correlated negatively with ΔE (r = -0.36, P < 0.01).
  • VARG was the only significant spatial index predicting EI group in logistic regression.

Conclusions:

  • Averaged cluster sizes, quantified by variogram, are a valid index for TCCT.
  • Variogram-based cluster size offers superior predictability for posterior contact status compared to other spatial indices.