Anat Cell Biol.  2018 Dec;51(4):251-259. 10.5115/acb.2018.51.4.251.

Maxillary first molar wear: a longitudinal study of children

• Kim WH
• Nam SE
• Park YS
• Lee SP

• KMID: 2430192
• DOI: http://doi.org/10.5115/acb.2018.51.4.251

Abstract

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)=0.16×0.4V+0.85 (R²=0.490) using volume.

Keyword

Tooth wear; Quantitative methods; Age correlation; Longitudinal study; Children

MeSH Terms

Child*
Dental Models
Dental Occlusion
Female
Humans
Linear Models
Longitudinal Studies*
Molar*
Tooth
Tooth Wear

Figure

• 

  Fig. 1 Reference points, buccal occlusal planes (BOP) and measurement parameters of the maxillary first molar. (A) A, distobuccal cusp point; B, mesiobuccal cusp point; C, mesiolingual cusp point. (B) BOP. (C) Offset plane, apical plane created from buccal occlusal plane from 0.2 to 0.8 mm.

• 

  Fig. 2 Area and volume measurement by offset plane, apical plane created from buccal occlusal plane (OSP). (A) Divided by OSP. (B) Volume measurement. (C) Area measurement.

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  Fig. 3 Reference points for the shortest distance from the buccal occlusal planes (BOP) to the central pit point (CPP) measurement. (A) A, distobuccal cusp point; B, mesiobuccal cusp point; C, mesiolingual cusp point; D, CPP. (B) BOP. (C, D) The shortest distance from the BOP to the CPP.

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  Fig. 4 Comparison of the regression lines for the 6-, 8-, 10-, 12-, and 14-year-old age groups and maxillary first molar wear quantified by the area of each offset plane 0.2, 0.4, 0.6, and 0.8 mm (offset plane, apical plane created from buccal occlusal plane 0.2 A, 0.4 A, 0.6 A, 0.8 A).

• 

  Fig. 5 Comparison of the regression lines for 6-, 8-, 10-, 12-, and 14-year-old age groups and maxillary first molar amount of wear quantified by the volume of each offset plane 0.2, 0.4, 0.6, and 0.8 mm (offset plane, apical plane created from buccal occlusal plane 0.2 V, 0.4 V, 0.6 V, 0.8 V).

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  Fig. 6 Differences in the wear speed via the shortest distance from the buccal occlusal planes to the central pit point measurement of the maxillary first molar according to age.

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  Fig. 7 Differences in the wear speed via the shortest distance from the buccal occlusal planes to the central pit point measurement of the maxillary first molar according to sex.

Reference

1. Gustafson G. Age determination on teeth. J Am Dent Assoc. 1950; 41:45–54. PMID: 15428197.

2. Johanson G. Age determination from human teeth: a critical evaluation with special consideration of changes after fourteen years of age. Odontol Revy Suppl. 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; 45:303–309. PMID: 10782950.

5. Yun JI, Lee JY, Chung JW, Kho HS, Kim YK. Age estimation of Korean adults by occlusal tooth wear. J Forensic Sci. 2007; 52:678–683. PMID: 17456094.

6. Noble HW. The estimation of age from the dentition. J Forensic Sci Soc. 1974; 14:215–221. PMID: 4443775.

7. Bishop K, Kelleher M, Briggs P, Joshi R. Wear now? An update on the etiology of tooth wear. Quintessence Int. 1997; 28:305–313. PMID: 9452693.

8. Smith BG. Toothwear: aetiology and diagnosis. Dent Update. 1989; 16:204–212. PMID: 2636198.

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. PMID: 8279271.

10. Pindborg JJ. Pathology of the dental hard tissues. Copenhagen: Munksgaard;1970. p. 312–321.

11. Murphy T. The changing pattern of dentine exposure in human tooth attrition. Am J Phys Anthropol. 1959; 17:167–178. PMID: 14425414.

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. PMID: 453346.

14. Krarup S, Darvann TA, Larsen P, Marsh JL, Kreiborg S. Three-dimensional analysis of mandibular growth and tooth eruption. J Anat. 2005; 207:669–682. PMID: 16313399.

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; 98:312–318. PMID: 17936129.

16. Ulhaas L, Kullmer O, Schrenk F, Henke W. A new 3-d approach to determine functional morphology of cercopithecoid molars. Ann Anat. 2004; 186:487–493. PMID: 15646282.

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; 37:209–218.

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; 25:347–358. PMID: 21815219.

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; 36:157–165.

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; 141:213–218. PMID: 22284289.

21. Lee SH, Nam SE, Lee SP. Evaluation of the effectiveness of the new tooth wear measurement parameters. Anat Cell Biol. 2015; 48:284–291. PMID: 26770880.

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; 67:1323–1333. PMID: 3049715.

23. Smith BG, Robb ND. The prevalence of toothwear in 1007 dental patients. J Oral Rehabil. 1996; 23:232–239. PMID: 8730269.

24. Kaidonis JA. Oral diagnosis and treatment planning: part 4. Non-carious tooth surface loss and assessment of risk. Br Dent J. 2012; 213:155–161. PMID: 22918343.

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; 75:189–196. PMID: 8586343.

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; 46:255–265. PMID: 3264985.

27. Brosky ME, Major RJ, DeLong R, Hodges JS. Evaluation of dental arch reproduction using three-dimensional optical digitization. J Prosthet Dent. 2003; 90:434–440. PMID: 14586306.

28. DeLong R, Knorr S, Anderson GC, Hodges J, Pintado MR. Accuracy of contacts calculated from 3D images of occlusal surfaces. J Dent. 2007; 35:528–534. PMID: 17418474.

29. DeLong R. Intra-oral restorative materials wear: rethinking the current approaches: how to measure wear. Dent Mater. 2006; 22:702–711. PMID: 16530263.

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. PMID: 1937311.

31. Bartlett DW. Retrospective long term monitoring of tooth wear using study models. Br Dent J. 2003; 194:211–213. PMID: 12627200.

32. Carlsson GE, Johansson A, Lundqvist S. Occlusal wear. A follow-up study of 18 subjects with extensively worn dentitions. Acta Odontol Scand. 1985; 43:83–90. PMID: 3863449.

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; 101:407–415. PMID: 8290885.

34. Silness J, Johannessen G, Røynstrand T. Longitudinal relationship between incisal occlusion and incisal tooth wear. Acta Odontol Scand. 1993; 51:15–21. PMID: 8451919.

35. Lambrechts P, Braem M, Vuylsteke-Wauters M, Vanherle G. Quantitative in vivo wear of human enamel. J Dent Res. 1989; 68:1752–1754. PMID: 2600255.

36. Sheikholeslam A, Moller E, Lous I. Pain, tenderness and strength of human mandibular elevators. Scand J Dent Res. 1980; 88:60–66. PMID: 6929087.

37. Molnar S. Human tooth wear, tooth function and cultural variability. Am J Phys Anthropol. 1971; 34:175–189. PMID: 5572602.