A Proposal for Standardization of Tongue Diagnosis Based on Diagnostic Criteria of Tongue Coating Thickness

설진의 표준화를 위한 제언 : 설태 후박의 진단기준을 중심으로

  • Son, Ji-Hee (Dept. of Internal Medicine, College of Oriental Medicine, Kyung-Hee University) ;
  • Kim, Jin-Sung (Dept. of Internal Medicine, College of Oriental Medicine, Kyung-Hee University) ;
  • Park, Jae-Woo (Dept. of Internal Medicine, College of Oriental Medicine, Kyung-Hee University) ;
  • Ryu, Bong-Ha (Dept. of Internal Medicine, College of Oriental Medicine, Kyung-Hee University)
  • 손지희 (경희대학교 한의과대학 비계내과학 교실) ;
  • 김진성 (경희대학교 한의과대학 비계내과학 교실) ;
  • 박재우 (경희대학교 한의과대학 비계내과학 교실) ;
  • 류봉하 (경희대학교 한의과대학 비계내과학 교실)
  • Published : 2012.03.30

Abstract

Background : In oriental medicine, the status of the tongue is an important indicator to diagnose the condition of one's health, such as physiological and the clinicopathological changes of internal organs. A tongue diagnosis is not only convenient but also non-invasive, and therefore widely used in Oriental medicine. However, the tongue diagnosis is greatly affected by examination circumstances, patient's posture, and doctor's diagnosis criteria. Objectives : This study was designed to assure the necessity for standardization of tongue diagnosis based on diagnostic criteria of tongue coating thickness (TCT). Methods : Thirty tongue photographs were acquired and analyzed by digital tongue diagnosis system (DTDS) which measured the percentage of TCT on the tongue surface. Fifteen oriental medical doctors evaluated TCT in 30 photographs. Afterward, the 15 assessors were trained for diagnostic criteria of TCT and evaluated the photographs again. The intraclass correlation coefficient (ICC) was used to obtain the agreement rate among the 15 assessors and the agreement rate between assessors' TCT scores and DTDS values. Results : The agreement rate among the 15 assessors after training was higher than before training. The agreement rate between assessors' TCT scores and DTDS values after training was also higher than before training. Furthermore, the difference of the agreement rate between before and after training was significant (p<0.05). Conclusions : The standardization of diagnostic criteria of TCT increased the agreement rate among the assessors and the agreement rate between assessors' TCT scores and DTDS values. Therefore, the standardization of diagnostic criteria is expected to contribute to the objectification and quantification of the tongue diagnosis system.

Keywords

References

  1. 李鳳敎, 朴英培, 金泰熙. 漢方診斷學. 서울: 成輔社; 1986, p. 70-91.
  2. 라이프21출판부. 중의진단학. 서울: 침코리아; 2006, p. 71-87.
  3. 임양근. 진단학 아틀라스 설진. 서울: 정담; 2003, p. 1-35.
  4. 김근호, 유현희, 김종열. 디지털 자동 설진 시스템 구축을 위한 설태 인식 알고리즘 기초 연구. 동의생리병리학회지 2009;23(1):97-103.
  5. 최은지, 김근호, 유현희, 이혜정, 김종열. 백태 중후태 및 박태 분류 판별함수 설계. 한국한의학연구원 논문집 2007;13(3):119-24.
  6. 박종기. 설진의 원리와 의의에 관한 고찰. 대한한의진단학회지 1998;2(1):183-206.
  7. 江涵暾. 筆花醫鏡. 서울: 일중사; 1993, p. 32.
  8. 吳坤安. 傷寒指掌. 상해: 상해과학기술출판사; 1982, p. 6-32.
  9. 송천빈. 동의설진원색도보. 서울: 고려의학; 1998, p. 1-6.
  10. 苑琳琳, 李文書, 姚建富, 宋紅, 鄭小偉. 中医舌診信息處理技術硏究進展. 上海中醫學大學學報 2011; 25(2):80-6.
  11. 郭睿, 王憶勤, 顔建軍. 中医舌診的客觀化硏究. 中國中西医結合雜志 2009;29(7):642-5.
  12. 朱佶華, 阮邦志, 勵俊雄. 舌診客觀化硏究的一种圖像處理方法. 中國生物医學工程學報 2001;20(2):132-7.
  13. 翁維良, 黃世敬. 中医舌診客觀化硏究. 中國工程科學 2001;3(1):78-82.
  14. Pang B, Zhang D, Li N, Wang K. Computerized tongue diagnosis based on Bayesian networks. IEEE Trans Biomed Eng 2004;51(10):1803-10. https://doi.org/10.1109/TBME.2004.831534
  15. Zhang H, Wang K, Zhang D, Pang B, Huang B. Computer aided tongue diagnosis system. Conf Proc IEEE Eng Med Biol Soc 2005;7:6754-7.
  16. Chiu CC. A novel approach based on computerized image analysis for traditional Chinese medical diagnosis of the tongue. Comput Methods Programs Biomed 2000;61(2):77-89. https://doi.org/10.1016/S0169-2607(99)00031-0
  17. Yue XQ, Liu Q. Analysis of studies on pattern recognition of tongue image in traditional Chinese medicine by computer technology. Zhong Xi Yi Jie He Xue Bao 2004;2(5):326-9. https://doi.org/10.3736/jcim20040503
  18. Wu J, Zhang Y, Bai J. Tongue area extraction in tongue diagnosis of traditional chinese medicine. Conf Proc IEEE Eng Med Biol Soc 2005;5:4955-7.
  19. 황인덕, 신상훈, 김기왕. KR-A-0053033. 2006.05.19.
  20. 박경모, 이영명. KR-A-0087965. 2008.10.02.
  21. 김근호, 최은지. KR-A-0030957. 2009.03.25.
  22. 김근호, 이전, 최은지, 류현희, 김종열. 그래프 및 기하 정보를 이용한 설진 영역 추출. 대한전기학회논문지 2007;56(11):1873-2066.
  23. 전영주, 김근호. KR-A-0027296. 2010.03.11.
  24. Kim J, Jung Y, Park K, Park JW. A digital tongue imaging system for tongue coating evaluation in patients with oral malodour. Oral Dis 2009;15(8):565-9. https://doi.org/10.1111/j.1601-0825.2009.01592.x
  25. 김제균. 디지털 설진 시스템의 개발. 학위논문(학사). 경희대학교 대학원; 2005.
  26. 어윤혜. 디지털 설진 시스템을 위한 설 검출과 분류. 학위논문(석사). 경희대학교 대학원; 2006.
  27. 정용재, 김진성, 오승환, 한가진, 김유승, 홍인아, 등. 디지털 설진기를 이용한 구취군과 비구취군 간의 설태 평가. 대한한의학회지 2010;31(1):23-9.
  28. Eo YH, Kim JG, Yoo HS, Kim JY, Park KM. Quantitative Study on Tongue Images according to Exterior, Interior, Cold and Heat Patterns. J. Korean Oriental Med 2006;27(2):134-44.
  29. Winkel EG, Roldan S, Van Winkelhoff AJ, Herrera D, Sanz M. Clinical effects of a new mouthrinse containing chlorhexidine, cetylpyridinium chloride and zinc-lactate on oral halitosis. A dual-center, double-blind placebo-controlled study. J Clin Periodontol 2003;30(4):300-6. https://doi.org/10.1034/j.1600-051X.2003.00342.x
  30. Kim JS, Han GJ, Choi BH, Park JW, Park KM, Yeo IK, et al. Development of Differential Criteria on Tongue Coating Thickness in Tongue Diagnosis. Complement Ther Med; In press.
  31. Fleiss JL. Design and analysis of clinical experiments. New York: Wiley; 1999, p. 23-7.
  32. Shourt, PE, Fleiss, JL. Intraclass correlation, uses in assessing rater reliability. Psychol Bull 1979;86(2):420-8. https://doi.org/10.1037/0033-2909.86.2.420