Journal of the Indian Society of Pedodontics and Preventive Dentistry · 2024
Quantification of tongue coating using quantitative light-induced fluorescence-digital image analysis and its correlation with visual evaluation.
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Shanbhog Raghavendra, Harjai Gunica, Tiwari Saisaumya, Bhojraj Nandlal
Аннотация
BACKGROUND: The tongue coating is a grayish-white deposit that quickly reflects the state of health or disease of the human body. Quantitative light-induced fluorescence (QLF) is a novel digital imaging system that objectively quantifies tongue coating.
AIMS: The present study aims to evaluate the correlation between the visual assessment of tongue coating and tongue coating by analysis of QLF-digital (QLF-D) images.
SETTINGS AND DESIGN: This was an in vivo explorative study.
MATERIALS AND METHODS: Fifty children aged 11-13 years with clinically visible tongue coating were selected for the study. Tongue coating was assessed clinically by the Tongue Coating Index (Shimizu et al., 2007) and digitally by QLF-D Biluminator™ 2, C3 software.
STATISTICAL ANALYSIS: Data obtained were subjected to statistical analysis using SPSS 23.0 software. Spearman's rho correlation test was done, and P < 0.05 was considered statistically significant.
RESULTS: A statistically significant correlation was found between the visual assessment scoring and the QLF image analysis for the evaluation of tongue coating.
CONCLUSION: The Digital QLF tongue imaging system was found to be reliable due to its correlation with the clinical score and objective nature.
AIMS: The present study aims to evaluate the correlation between the visual assessment of tongue coating and tongue coating by analysis of QLF-digital (QLF-D) images.
SETTINGS AND DESIGN: This was an in vivo explorative study.
MATERIALS AND METHODS: Fifty children aged 11-13 years with clinically visible tongue coating were selected for the study. Tongue coating was assessed clinically by the Tongue Coating Index (Shimizu et al., 2007) and digitally by QLF-D Biluminator™ 2, C3 software.
STATISTICAL ANALYSIS: Data obtained were subjected to statistical analysis using SPSS 23.0 software. Spearman's rho correlation test was done, and P < 0.05 was considered statistically significant.
RESULTS: A statistically significant correlation was found between the visual assessment scoring and the QLF image analysis for the evaluation of tongue coating.
CONCLUSION: The Digital QLF tongue imaging system was found to be reliable due to its correlation with the clinical score and objective nature.