BIOMETRIC METHOD OF AGE ESTIMATION: DEVELOPMENT AND EFFICIENCY, IN CASES OF PATHOLOGIES OF TEETH HARD TISSUES
DOI:
https://doi.org/10.11603/ijmmr.2413-6077.2017.2.8228Keywords:
Age estimation, Kvaal method, pathological attrition, regression analyses, reparative dentine deposition.Abstract
Background. The physiological changes of tooth are the criteria used in evaluation of regressive formula by Kvaal et al. age estimation technique. But in cases of abnormal occlusion, abnormal chewing habits, bruxism, abrasive factors or structural defects of teeth the intensity of tooth aging accelerates.
Objective. The aim of the research was to define the options of age estimation according to dental state of individuals with pathological attrition.
Methods. 108 panoramic x-ray photos of patients with pathological attrition of teeth were chosen by a randomized selection (49 males and 59 females). All photos were made by means of Planmeca PROMAX orthopantomograph. Nine measurements were made for each tooth: the tooth length, pulp length, root length, root width and pulp width at three different levels: cement-enamel junction (level A, beginning of root), one-quarter of root length from a cement-enamel junction (level B), and mid-root (level C). Due to these measurements, a number of ratios were calculated in accordance with Kvaal et al. method.
Results. The errors that reached 27±8.4 years were found when evaluating the dental age using primary coefficients of equations suggested by the authors of the method used. By means of mathematical analyses, principal component regression method as well, the correlation coefficient of Pearson and method of combining linear regression due to the tooth changes in cases of pathological attrition (lowering level of occlusal surface, dystrophy of pulp structures and deposition of tertiary reparative dentine) by regression analysis, the modified formulas for age estimation using radiographic technique were found. Modified coefficients decreased the error to 13±0.8 years, which was relative to the real age upto nearly 42-48% compared to the primary coefficients of equations for pathological attrition.
Conclusions. Age estimation technique can be improved taking into account morphological changes in pathological attrition and the calculated coefficients make it possible to expand the circle of person’s age which needs to be found.
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