Age determination in human adults by dental histology

Drusini, Andrea G.; Volpe, Antonina; Dovigo, Sergio

doi:10.1127/zma/78/1990/169

Cited by 10 publications

(1 citation statement)

References 9 publications

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“…Six agerelated parameters; attrition (A), secondary dentin formation (S), periodontal recession (P), cementum apposition (C), root resorption (R), and root transparency (T) were macroscopically assessed using the formula: A n +P n +S n +C n +R n +T n = points (0, 1, 2, 3), and found significant correlations [24]. Gustafson deduced that estimating age using these six criteria appeared equally accurate and effective and that the rates at which the individual criteria change are equal, prompting the addition or summation of the obtained data [42][43][44]. Gustafson's method has had a major impact on the field of forensic odontology, particular with regards to dental age estimation in adults [45,46].…”

Section: Introductionmentioning

confidence: 99%

Accuracy and Limits of Lamendin’s Age Estimation Method in a Sample of Nigerian Population

Egbobe,

S. Oladipo,

G. Omitola

et al. 2023

Forensic and Legal Medicine - State of the Art, Practical Applications and New Perspectives

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This study compared the accuracy and limits of Lamendin’s age estimation method to age estimation by subset regression analysis in a sample of Nigerian population. The research was a cross-sectional study involving 81 single-rooted teeth obtained from 45 females and 36 males between ages 20 and 90 years. Extracted teeth samples were disinfected and stored, and directly measured using a digital vernier caliper on a 16 W X-ray box. Periodontosis (P) and Translucency (T) were derived using standard formulae from the root height (RH), translucency height (TH), and periodontal height (PH). Data were managed in an excel spreadsheet, then analyzed (stratified by sex) using Lamendin’s equation (Age = 0.18P + 0.42 T + 25.53) in SPSS (IBM® version 23, Armonk, USA) and Minitab® 2017 (version 18.1) best subset regression for males (Age = 6.23TH + 0.113P + 7.7) and females (Age = 14.90PH + 0.330 T − 2.12). Chi-square analysis tested the distributional deviations from actual age (using error ranges). From the analysis, 33.3% of the total population (M: 30.0% and F: 35.6%) were predicted within the suggested limit compared to 61.7% (M: 75.0% and F: 51.0%) for the best subset model. The distributional errors difference in both methods was not significant for males (χ2[df = 3] = 1.810, P = 0.405), females (χ2[df = 3] = 1.275, P = 0.528), and total samples (χ2[df = 3] = 4.960, P = 0.084). Lamendin’s formula did not provide accurate age estimates for a large proportion of sample population. More accurate estimates were limited to age ranged between 30 and 70 years. The study recommended that further studies using a larger sample be conducted to validate the findings of this study.

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Section: Introductionmentioning

confidence: 99%

Accuracy and Limits of Lamendin’s Age Estimation Method in a Sample of Nigerian Population

Egbobe,

S. Oladipo,

G. Omitola

et al. 2023

Forensic and Legal Medicine - State of the Art, Practical Applications and New Perspectives

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The coronal pulp cavity index: A biomarker for age determination in human adults

Drusini

Toso

Ranzato

1997

Am. J. Phys. Anthropol.

109

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The correlation between reduction of the coronal pulp cavity and chronological age was examined in a sample of 846 intact teeth from 433 individuals of known age and sex. Panoramic (rotational) radiography was used to measure the height (mm) of the crown (CH = coronal height) and the height (mm) of the coronal pulp cavity (CPCH = coronal pulp cavity height) of 425 premolars and 421 molars from 213 males and 220 females. The tooth-coronal index (TCI) after Ikeda et al. [1985] Jpn. J. For. Med. 39:244-250) was computed for each tooth and regressed on real age. The correlation coefficients ranged from -0.92 (molars, combined sample, right side) to -0.87 (female molars), with an S.E. of the estimate ranging from 5.88-6.66 years. Correlations were slightly higher in males than females. The equations obtained allowed estimation of age in a sample of 100 teeth from both sexes (not used for the regression) with an error of +/- 5 years in 81.4% of cases for male molars. The regression formulae for estimating age obtained from the recent sample were tested on a historical sample of 100 teeth from 100-year-old skeletons with an error of +/- 5 years in 70.3% of cases for male molars. This study illustrates the potential value of a little-known aging method which can be easily applied to estimate age in both living individuals and skeletal material of unknown age.

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Cortical bone dynamics and age-related osteopenia in a Longobard archaeological sample from three graveyards of the Veneto region (northeast Italy)

Drusini

Bredariol

Carrara

et al. 2000

Int. J. Osteoarchaeol.

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Age determination in human adults by dental histology

Cited by 10 publications

References 9 publications

Accuracy and Limits of Lamendin’s Age Estimation Method in a Sample of Nigerian Population

Accuracy and Limits of Lamendin’s Age Estimation Method in a Sample of Nigerian Population

The coronal pulp cavity index: A biomarker for age determination in human adults

Cortical bone dynamics and age-related osteopenia in a Longobard archaeological sample from three graveyards of the Veneto region (northeast Italy)

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