Development of differential criteria on tongue coating thickness in tongue diagnosis.

OBJECTIVE To develop differential criteria on the tongue coating thickness (TCT), and especially propose the standard for judgment on thin and thick coating in tongue diagnosis. METHODS Sixty oriental medical doctors evaluated the TCT (none, thin, and thick coating) in 50 realistic tongue photographs revealing from tip-to-root. The photographs were obtained with a digital tongue imaging system (DTIS) which measured the percentages of tongue coating on the tongue surface. We calculated the match rate which is the ratio in which the assessor's judgment is consistent with the decision standard on the tongue coating, and then 24 assessors (≥80% match rate) were selected to improve the reliability of the decision. The agreement level among 24 assessors was examined to assess the inter-rater reliability. The correlation between TCT judgments and DTIS-measured values was examined to ascertain the reliability of DTIS measurements. Finally, the assumption probability for the analysis of quantified characteristics of the tongue coating was calculated with a proportional odds model. RESULTS The inter-rater reliability was assessed as moderate (κ=0.56) among 24 assessors, the level of correlation between TCT judgments and DTIS measurements in 24 assessors was relatively high (0.76, p<0.01). As the analysis of the proportional odds model, 29.06% was a cut-off point to separate no coating and thin coating, 63.51% was a cut-off point to separate thin and thick coating. CONCLUSIONS The differential criteria for TCT in tongue diagnosis were suggested, and particularly thick coating is defined as one that tongue coating which tongue body is invisible, occupy approximately more than two third areas on the tongue surface.

[1]  Emma King,et al.  The Reliable Measurement of Radial Pulse Characteristics , 2002, Acupuncture in medicine : journal of the British Medical Acupuncture Society.

[2]  David Zhang,et al.  On automated tongue image segmentation in Chinese medicine , 2002, Object recognition supported by user interaction for service robots.

[3]  D. Cobbin,et al.  Traditional Chinese medicine tongue inspection: an examination of the inter- and intrapractitioner reliability for specific tongue characteristics. , 2008, Journal of alternative and complementary medicine.

[4]  R. Brant Assessing proportionality in the proportional odds model for ordinal logistic regression. , 1990, Biometrics.

[5]  A. V. van Winkelhoff,et al.  Clinical effects of a new mouthrinse containing chlorhexidine, cetylpyridinium chloride and zinc-lactate on oral halitosis. A dual-center, double-blind placebo-controlled study. , 2003, Journal of clinical periodontology.

[6]  Alan Bensoussan,et al.  Understanding the reliability of diagnostic variables in a Chinese Medicine examination. , 2009, Journal of alternative and complementary medicine.

[7]  L. Lao,et al.  Improvement of agreement in TCM diagnosis among TCM practitioners for persons with the conventional diagnosis of rheumatoid arthritis: effect of training. , 2008, Journal of Alternative and Complementary Medicine.

[8]  Leanne M Currie,et al.  Understanding diagnostic reasoning in TCM practice: tongue diagnosis. , 2009, Alternative therapies in health and medicine.

[9]  Demetri Terzopoulos,et al.  Snakes: Active contour models , 2004, International Journal of Computer Vision.

[10]  J Kim,et al.  A digital tongue imaging system for tongue coating evaluation in patients with oral malodour. , 2009, Oral diseases.

[11]  J. Richard Landis,et al.  Large sample variance of kappa in the case of different sets of raters. , 1979 .

[12]  Stephen Birch,et al.  A review of the reliability of traditional East Asian medicine diagnoses. , 2009, Journal of alternative and complementary medicine.