Browse > Article
http://dx.doi.org/10.5051/jpis.2018.48.2.124

Methods for quantitative measurement of tooth wear using the area and volume of virtual model cusps  

Kim, Soo-Hyun (Department of Oral Anatomy, Dental Research Institute, Seoul National University School of Dentistry)
Park, Young-Seok (Department of Oral Anatomy, Dental Research Institute, Seoul National University School of Dentistry)
Kim, Min-Kyoung (Department of Oral Anatomy, Dental Research Institute, Seoul National University School of Dentistry)
Kim, Sulhee (Department of Periodontology, Seoul National University School of Dentistry)
Lee, Seung-Pyo (Department of Oral Anatomy, Dental Research Institute, Seoul National University School of Dentistry)
Publication Information
Journal of Periodontal and Implant Science / v.48, no.2, 2018 , pp. 124-134 More about this Journal
Abstract
Purpose: Clinicians must examine tooth wear to make a proper diagnosis. However, qualitative methosds of measuring tooth wear have many disadvantages. Therefore, this study aimed to develop and evaluate quantitative parameters using the cusp area and volume of virtual dental models. Methods: The subjects of this study were the same virtual models that were used in our former study. The same age group classification and new tooth wear index (NTWI) scoring system were also reused. A virtual occlusal plane was generated with the highest cusp points and lowered vertically from 0.2 to 0.8 mm to create offset planes. The area and volume of each cusp was then measured and added together. In addition to the former analysis, the differential features of each cusp were analyzed. Results: The scores of the new parameters differentiated the age and NTWI groups better than those analyzed in the former study. The Spearman ${\rho}$ coefficients between the total area and the area of each cusp also showed higher scores at the levels of 0.6 mm (0.6A) and 0.8A. The mesiolingual cusp (MLC) showed a statistically significant difference (P<0.01) from the other cusps in the paired t-test. Additionally, the MLC exhibited the highest percentage of change at 0.6A in some age and NTWI groups. Regarding the age groups, the MLC showed the highest score in groups 1 and 2. For the NTWI groups, the MLC was not significantly different in groups 3 and 4. These results support the proposal that the lingual cusp exhibits rapid wear because it serves as a functional cusp. Conclusions: Although this study has limitations due to its cross-sectional nature, it suggests better quantitative parameters and analytical tools for the characteristics of cusp wear.
Keywords
Dental occlusion; Indexes; Statistical models; Tooth wear;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Pintado MR, Anderson GC, DeLong R, Douglas WH. Variation in tooth wear in young adults over a twoyear period. J Prosthet Dent 1997;77:313-20.   DOI
2 Woda A, Gourdon AM, Faraj M. Occlusal contacts and tooth wear. J Prosthet Dent 1987;57:85-93.   DOI
3 Smith BG, Robb ND. The prevalence of toothwear in 1007 dental patients. J Oral Rehabil 1996;23:232-9.   DOI
4 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.   DOI
5 Mehta JD, Evans CC. A study of attrition of teeth in the Arkansas Indian skulls. Angle Orthod 1966;36:248-57.
6 Ozaki T, Kanazawa E, Sekikawa M, Akai J. Three-dimensional measurements of the occlusal surfaces of the upper molars in Australian aboriginals. Aust Dent J 1987;32:263-9.   DOI
7 Tomenchuk J, Mayhall JT. A correlation of tooth wear and age among modern Igloolik eskimos. Am J Phys Anthropol 1979;51:67-77.   DOI
8 Butler RJ. Age-related variability in occlusal wear planes. Am J Phys Anthropol 1972;36:381-90.   DOI
9 Kaidonis JA, Richards LC, Townsend GC, Tansley GD. Wear of human enamel: a quantitative in vitro assessment. J Dent Res 1998;77:1983-90.   DOI
10 Lee A, He LH, Lyons K, Swain MV. Tooth wear and wear investigations in dentistry. J Oral Rehabil 2012;39:217-25.   DOI
11 Brothwell DR. Digging up bones: the excavation, treatment, and study of human skeletal remains, 3rd ed. Ithaca (NY): Cornell University Press; 1981.
12 Fiorenza L, Benazzi S, Kullmer O. Morphology, wear and 3D digital surface models: materials and techniques to create high-resolution replicas of teeth. J Anthropol Sci 2009;87:211-8.
13 Hillson S. Dental anthropology. New York: Cambridge University Press; 1996.
14 Mays S. The relationship between molar wear and age in an early 19th century AD archaeological human skeletal series of documented age at death. J Arch Sci 2002;29:861-71.   DOI
15 Eccles JD. Dental erosion of nonindustrial origin. A clinical survey and classification. J Prosthet Dent 1979;42:649-53.   DOI
16 Smith BG, Knight JK. An index for measuring the wear of teeth. Br Dent J 1984;156:435-8.   DOI
17 Hooper SM, Meredith N, Jagger DC. The development of a new index for measurement of incisal/occlusal tooth wear. J Oral Rehabil 2004;31:206-12.   DOI
18 Larsen IB, Westergaard J, Stoltze K, Larsen AI, Gyntelberg F, Holmstrup P. A clinical index for evaluating and monitoring dental erosion. Community Dent Oral Epidemiol 2000;28:211-7.   DOI
19 Heintze SD, Zappini G, Rousson V. Wear of ten dental restorative materials in five wear simulators--results of a round robin test. Dent Mater 2005;21:304-17.   DOI
20 Dahl BL, Krogstad BS, Ogaard B, Eckersberg T. Differences in functional variables, fillings, and tooth wear in two groups of 19-year-old individuals. Acta Odontol Scand 1989;47:35-40.   DOI
21 Oilo G, Dahl BL, Hatle G, Gad AL. An index for evaluating wear of teeth. Acta Odontol Scand 1987;45:361-5.   DOI