ArticleJournal of oral rehabilitation2022
Assessing masticatory performance with a colour-mixing ability test using smartphone camera images.
Article in Journal of oral rehabilitation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 11 citations in OpenAlex.
- Masticatory performance in aging populations: A scoping review of research landscapes in Japan, Sweden, and India.The Japanese dental science review · 2026Review
- Which Norm of Mixing Ability Index to Evaluate Deficiency in Masticatory Performance in Young Adults?Journal of oral rehabilitation · 2026Article
- On the path for standardizing the assessment of masticatory performance : Evaluation of a new test method and development of support software.Journal of orofacial orthopedics = Fortschritte der Kieferorthopadie : Organ/official journal Deutsche Gesellschaft fur Kieferorthopadie · 2026Article
- Association Between Oral Health and Physical Frailty in an Adult Community-Dwelling Caucasian Population.Journal of oral rehabilitation · 2026Article
- Evaluation of the Association of Chewing Function and Oral Health-Related Quality of Life in a Population of Individuals Aged ≥ 45 Years and Residing in Communities in Switzerland: A Cross-Sectional Study.Dentistry journal · 2024Article
- Assessment and Improvement of Masticatory Performance in Frail Older People: A Narrative Review.Journal of clinical medicine · 2023Review
- Assessing masticatory performance with a colour-mixing ability test using smartphone camera images.Journal of oral rehabilitation · 2022Article
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundColour-mixing ability tests are frequently used to assess masticatory performance, but the image acquisition process may be cumbersome and technique sensitive.
objectivesTo evaluate the reliability of smartphone camera images in assessing masticatory performance using a colour-mixing ability test.
methodsParticipants were recruited into three groups of dental state (n = 20 each): fully dentate, removable partial denture wearers and complete denture wearers. After performing a colour-mixing ability test, images of the gum specimens (Hue-Check Gum©) were captured with two smartphones and compared with the images obtained from a flatbed scanner by two examiners. The images were analysed with a subjective- (SA) and an opto-electronical assessment (VoH). Inter- and intra-rater reliability were tested. ANOVA models with repeated measures were used for statistical analysis (⍺ = .05).
resultsAll three image acquisition techniques were able to distinguish masticatory performance between different dental states. For SA, inter-rater reliability was fair to substantial and intra-rater reliability was substantial to almost perfect. For VoH, inter-rater reliability with the smartphones was at times different between two examiners, but the intra-rater assessment was reliable. The opto-electronic analysis with smartphone images underestimated the masticatory performance significantly when compared to the flatbed scanner analysis. Seven-day ageing of the specimens did not significantly affect the results.
conclusionsThe assessment of masticatory performance with the Hue-Check Gum© is a reliable method. The use of smartphones may occasionally underestimate masticatory performance; image acquisition with a flatbed scanner remains the gold standard. A centralised analysis of the photographed wafer may foster the reliability of the diagnosis.
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