DOI QR코드

DOI QR Code

Maxillary first molar wear: a longitudinal study of children

  • Kim, Won-Hee (Department of Oral Anatomy, Dental Research Institute, School of Dentistry, Seoul National University) ;
  • Nam, Shin-Eun (Department of Oral Anatomy, Dental Research Institute, School of Dentistry, Seoul National University) ;
  • Park, Young-Seok (Department of Oral Anatomy, Dental Research Institute, School of Dentistry, Seoul National University) ;
  • Lee, Seung-Pyo (Department of Oral Anatomy, Dental Research Institute, School of Dentistry, Seoul National University)
  • 투고 : 2018.06.27
  • 심사 : 2018.09.28
  • 발행 : 2018.12.30

초록

The aim of this study is to examine the correlation between tooth wear and age by quantitatively measuring maxillary first molar wear in children. A total of 150 maxillary dental models were analyzed in 30 subjects (male, 11; female, 19) with an age range of 6-14 years. Maxillary first molar wear were assessed based on area, volume and the shortest distance from the buccal occlusal plane to the central pit point (BCPH). The area and volume of the tooth cusps were measured at four different offset-plane heights (0.2, 0.4, 0.6, and 0.8 mm). Relationship between age and the amount of wear or BCPH were statistically analyzed. Correlation and regression analyses were also performed, and age estimation was obtained with linear regression analysis. Repeated measures analysis of variance (ANOVA) revealed significant differences between age and the amount of wear based on area, volume, and offset-plane height. Except age of 8 and 10, 12 and 14's 0.2-mm offset-plane-measured volume, all area and volume measurement of all ages and offset-plane height showed a significant amount of increase. Wear speeds were calculated using the BCPH. Among age and measurement variables, the correlation coefficient was strongest when the volume was measured from the 0.4-mm offset-plane. As age increases, the amount of wear, as quantified by area and volume measurements, also increases. According to this study, a regression equation that can be used for age estimation is follows: Age $(y)=0.16{\times}0.4V+0.85$ ($R^2=0.490$) using volume.

키워드

과제정보

연구 과제 주관 기관 : National Research Foundation of Korea

참고문헌

  1. Gustafson G. Age determination on teeth. J Am Dent Assoc 1950;41:45-54. https://doi.org/10.14219/jada.archive.1950.0132
  2. Johanson G. Age determination from human teeth: a critical evaluation with special consideration of changes after fourteen years of age. Odontol Revy 1971;22:1-126.
  3. Rai B, Dhattarwal S, Anand S. Five markers of changes in teeth: an estimating of age. Internet J Forensic Sci 2006;1:15-40.
  4. Kim YK, Kho HS, Lee KH. Age estimation by occlusal tooth wear. J Forensic Sci 2000;45:303-9.
  5. Yun JI, Lee JY, Chung JW, Kho HS, Kim YK. Age estimation of Korean adults by occlusal tooth wear. J Forensic Sci 2007;52:678-83. https://doi.org/10.1111/j.1556-4029.2007.00414.x
  6. Noble HW. The estimation of age from the dentition. J Forensic Sci Soc 1974;14:215-21. https://doi.org/10.1016/S0015-7368(74)70904-5
  7. Bishop K, Kelleher M, Briggs P, Joshi R. Wear now? An update on the etiology of tooth wear. Quintessence Int 1997;28:305-13.
  8. Smith BG. Toothwear: aetiology and diagnosis. Dent Update 1989;16:204-12.
  9. Dahl BL, Carlsson GE, Ekfeldt A. Occlusal wear of teeth and restorative materials. A review of classification, etiology, mechanisms of wear, and some aspects of restorative procedures. Acta Odontol Scand 1993;51:299-311. https://doi.org/10.3109/00016359309040581
  10. Pindborg JJ. Pathology of the dental hard tissues. Copenhagen: Munksgaard; 1970. p.312-21.
  11. Murphy T. The changing pattern of dentine exposure in human tooth attrition. Am J Phys Anthropol 1959;17:167-78. https://doi.org/10.1002/ajpa.1330170302
  12. Miles AE. The dentition in the assessment of individual age in skeletal material. In: Brothwell DR, editor. Dental Anthropology. Symposia of the Society for the Study of Human Biology. Oxford: Pregamon Press; 1963. p.191-209.
  13. Tomenchuk J, Mayhall JT. A correlation of tooth wear and age among modern Igloolik eskimos. Am J Phys Anthropol 1979;51:67-77. https://doi.org/10.1002/ajpa.1330510109
  14. Krarup S, Darvann TA, Larsen P, Marsh JL, Kreiborg S. Threedimensional analysis of mandibular growth and tooth eruption. J Anat 2005;207:669-82. https://doi.org/10.1111/j.1469-7580.2005.00479.x
  15. Park YS, Lee SP, Paik KS. The three-dimensional relationship on a virtual model between the maxillary anterior teeth and incisive papilla. J Prosthet Dent 2007;98:312-8. https://doi.org/10.1016/S0022-3913(07)60104-8
  16. Ulhaas L, Kullmer O, Schrenk F, Henke W. A new 3-d approach to determine functional morphology of cercopithecoid molars. Ann Anat 2004;186:487-93. https://doi.org/10.1016/S0940-9602(04)80090-6
  17. Lee JH, Paik KS, Chang MS, Lee SP. An evaluation of validity of measurements using digital caliper and three-dimensional virtual dental models. Korean J Anat 2004;37:209-18.
  18. Lee SP, Nam SE, Lee YM, Park YS, Hayashi K, Lee JB. The development of quantitative methods using virtual models for the measurement of tooth wear. Clin Anat 2012;25:347-58. https://doi.org/10.1002/ca.21238
  19. Ha Y, Park YS, Nam SE, Lee JH, Lee JB, Lee SP. Development of quantitative tooth wear measurement parameters for Korean maxillary first molar. J Korea Res Soc Dent Mater 2009;36:157-65.
  20. Nam SE, Kim YH, Park YS, Baek SH, Hayashi K, Kim KN, Lee SP. Three-dimensional dental model constructed from an average dental form. Am J Orthod Dentofacial Orthop 2012;141:213-8. https://doi.org/10.1016/j.ajodo.2011.06.038
  21. Lee SH, Nam SE, Lee SP. Evaluation of the effectiveness of the new tooth wear measurement parameters. Anat Cell Biol 2015;48:284-91. https://doi.org/10.5115/acb.2015.48.4.284
  22. Seligman DA, Pullinger AG, Solberg WK. The prevalence of dental attrition and its association with factors of age, gender, occlusion, and TMJ symptomatology. J Dent Res 1988;67:1323-33. https://doi.org/10.1177/00220345880670101601
  23. Smith BG, Robb ND. The prevalence of toothwear in 1007 dental patients. J Oral Rehabil 1996;23:232-9. https://doi.org/10.1111/j.1365-2842.1996.tb00846.x
  24. Kaidonis JA. Oral diagnosis and treatment planning: part 4. Non-carious tooth surface loss and assessment of risk. Br Dent J 2012;213:155-61. https://doi.org/10.1038/sj.bdj.2012.722
  25. Li C, Ji G. Age estimation from the permanent molar in northeast China by the method of average stage of attrition. Forensic Sci Int 1995;75:189-96. https://doi.org/10.1016/0379-0738(95)01791-7
  26. Hugoson A, Bergendal T, Ekfeldt A, Helkimo M. Prevalence and severity of incisal and occlusal tooth wear in an adult Swedish population. Acta Odontol Scand 1988;46:255-65. https://doi.org/10.3109/00016358809004775
  27. Brosky ME, Major RJ, DeLong R, Hodges JS. Evaluation of dental arch reproduction using three-dimensional optical digitization. J Prosthet Dent 2003;90:434-40. https://doi.org/10.1016/j.prosdent.2003.08.021
  28. DeLong R, Knorr S, Anderson GC, Hodges J, Pintado MR. Accuracy of contacts calculated from 3D images of occlusal surfaces. J Dent 2007;35:528-34. https://doi.org/10.1016/j.jdent.2007.02.004
  29. DeLong R. Intra-oral restorative materials wear: rethinking the current approaches: how to measure wear. Dent Mater 2006;22:702-11. https://doi.org/10.1016/j.dental.2006.02.003
  30. Kambe T, Yonemitsu K, Kibayashi K, Tsunenari S. Application of a computer assisted image analyzer to the assessment of area and number of sites of dental attrition and its use for age estimation. Forensic Sci Int 1991;50:97-109. https://doi.org/10.1016/0379-0738(91)90138-9
  31. Bartlett DW. Retrospective long term monitoring of tooth wear using study models. Br Dent J 2003;194:211-3. https://doi.org/10.1038/sj.bdj.4809914
  32. Carlsson GE, Johansson A, Lundqvist S. Occlusal wear. A followup study of 18 subjects with extensively worn dentitions. Acta Odontol Scand 1985;43:83-90. https://doi.org/10.3109/00016358509046491
  33. Johansson A, Haraldson T, Omar R, Kiliaridis S, Carlsson GE. An investigation of some factors associated with occlusal tooth wear in a selected high-wear sample. Scand J Dent Res 1993;101:407-15.
  34. Silness J, Johannessen G, Roynstrand T. Longitudinal relationship between incisal occlusion and incisal tooth wear. Acta Odontol Scand 1993;51:15-21. https://doi.org/10.3109/00016359309041143
  35. Lambrechts P, Braem M, Vuylsteke-Wauters M, Vanherle G. Quantitative in vivo wear of human enamel. J Dent Res 1989;68:1752-4. https://doi.org/10.1177/00220345890680120601
  36. Sheikholeslam A, Moller E, Lous I. Pain, tenderness and strength of human mandibular elevators. Scand J Dent Res 1980;88:60-6.
  37. Molnar S. Human tooth wear, tooth function and cultural variability. Am J Phys Anthropol 1971;34:175-89. https://doi.org/10.1002/ajpa.1330340204

피인용 문헌

  1. Age-related changes in tooth dimensions in adults in Shiraz, Iran vol.12, pp.7, 2018, https://doi.org/10.4103/jioh.jioh_148_19