Formula For Age Estimation Research Articles

MANDIBULAR PARAMETERS FOR AGE ESTIMATION: A DIGITAL ORTHOPANTOMOGRAPHIC STUDY IN HYDERABAD POPULATION

Background: Mandible is one of the strongest facial bones, which exhibits great changes in size and morphology during growth and aging. The mandibular ramus and gonial angle in particular show notable alterations with aging. Orthopantomographywhich is a regularly used, non-invasive procedure can be used to assess mandibular morphology with ease. Aim and objectives: To assess the correlation of dimensions of condylar ramus height, coronoid ramus height and gonial angle with chronological age of the individual, andevaluatetheirefficacy in estimating age of the individual. Materials and methods: The study sample included 200 digital orthopantomographs of individuals of diverse age groups. Measurements of condylar ramus height, coronoid ramus height and gonial angle were made on the digital orthopantomographs and data was tabulated. Age estimation formulae were derived for each of the three parameters and age was estimated for each individual using the formulae. Results: No statisticallysignificant difference was found on comparing the chronological age and estimated age obtained using condylar ramus height, coronoid ramus height, and gonial angle. Among the three parameters,coronoid ramus height displayed a statistically significant correlation with chronological age. Conclusion:Present study indicates that coronoid ramus height can be used as a reliable indicator for age estimation.

Comparison of the accuracy and bias of Demirjian’s method for East Asian children and development of Japanese population-specific age estimation formulae

Despite the increased global mobility owing to the development of the international community, there remains a need for population-specific methods to estimate children’s ages. Therefore, this study aimed to substantiate the necessity for a Japanese-specific age estimation method by contrasting the formerly reported age estimation accuracy and bias using Demirjian’s method for Chinese, Taiwanese, South Korean, and Japanese children. We analyzed 1,558 panoramic radiographs from Japanese children (777 boys and 781 girls), assessed the maturity of seven left permanent teeth using Demirjian’s criteria, and calculated the estimated age using Demirjian’s method. The accuracy of the estimated ages was compared with previous reports of children from other East Asian countries which used the same age estimation method. Chinese, Taiwanese, and South Korean boys and girls were all reported to be older than their chronological ages, with the Eastern and Northern Chinese regions being the only exceptions. The same was true for Japanese children: the estimated ages of both sexes tended to be higher than their chronological age. However, there were significant variations in the values, indicating the differences in tooth growth and development between East Asian countries and sexes. Therefore, new regression equations specific to the Japanese population were formulated, and their accuracy was evaluated as the final result of this study.

Accuracy of the Mincer Method for Dental Age Estimation in a Honduran Population

Abstract Aim: This study aims to determine the accuracy of the Mincer method for estimating dental age (DA) using digital panoramic radiographs (PR) in a Honduran population aged 14–22 years. Materials and Methods: This observational, cross-sectional, retrospective study was applied in a sample of 134 digital PR from a private dental center in Comayagua (72 females and 62 males; mean age 18 ± 3 years). A calibrated observer (kappa ≥0.83) analyzed DA with the Demirjian and Mincer method in all third molars (3M) from stage D (complete crown) to H (apex closure) differentiating by sex. The decimal DA of each individual was calculated from the average of the four 3M. Estimation of chronological age (CA) according to the Mincer method was obtained with linear regression formulas. Results: The results revealed that the mean and standard error of the difference between CA and DA was 0.58 ± 0.13 years (male 0.5 ± 0.19 and female 0.65 ± 0.19). Age groups showed higher overestimation (>1.1) from 14 to 17 years (50%–100%), agreement (±1.1 years) at 18 years (66.7%–70%), and underestimation (<–1.1) from 21 and 22 years (42.9%–100%; P = 0.000). The prediction equations of CA according to DA were statistically significant (P = 0.000) explaining 66.5% of the total sample (error = 1.465), 84.5% in males (error = 1.367), and 79.3% in females (error = 1.548). Conclusion: This study concludes that the Mincer method obtained a reasonable prediction to estimate the age of the majority with improvement in the adjustments with the age estimation formula in a specific population in Comayagua, Honduras.

Age estimation using postmortem computed tomography-based Hounsfield unit values of the palate and mandibular condyle and the Eichner classification

Age estimation is important in forensic investigations of unidentified human remains. This study assessed the correlation between age and Hounsfield unit (HU) values of the palate and mandibular condyle based on postmortem computed tomography (CT) and analyzed the influence of occlusal support in developing an age estimation method for Japanese individuals, including older adults.The sample consisted of a training dataset (357 cadavers) and a validation dataset (300 cadavers) that underwent postmortem CT.Three measurements were selected: the respective HU values of the palate and mandibular condyle and the Eichner classification. The correlation coefficients between age and HU values were also evaluated. Multiple stepwise regression analysis was performed to evaluate the significance of four parameters (sex, respective HU values of the palate and mandibular condyle, and the Eichner classification) for age estimation and to determine the best age estimation formula. In the validation tests, inaccuracy and bias were calculated for the groups aged ≥65 or <65 years.Significant correlations between age and HU values of the palate and mandibular condyle were observed, regardless of sex. In multiple stepwise regression analysis, all variables except sex were significantly correlated with age. The age estimation formula from the regression analysis was useful, and the validation test exhibited high accuracy, especially in older adults.The HU values of the palate and mandibular condyle and the Eichner classification are useful for age estimation in Japanese individuals.

Should we consider the sex when estimating bone age from hand bone biometrics?

Recently, it was proposed to estimate age from the biometric information of hand bones. We observed that these estimations became less precise as children get older, especially from the age of 13-15years. This study aimed to evaluate the influence of considering sex for age estimation based on hand bones biometrics. The study sample consisted of metacarpals and proximal phalanges measurements collected on 1003 medical images performed at Nancy and Marseille Hospitals of individuals aged under 21years. This sample was divided into two subgroups delineated by the age of 13, as it is a relevant legal threshold for most European countries. First, the influence of sex on the hand bones biometrics and on the estimated age was evaluated. Then, based on these results, new sex-specific age estimation formulas were constructed from linear models and their precision was assessed using residual analysis, in comparison with previous global formulas. An influence of sex was only highlighted from the age of 13 and for the total study sample. Thus, new sex-specific age estimation formulas were built for the [1-21] global sample and the [13-21] subsample. Even though the differences with the previous formulas were minor, age was more accurately estimated when sex was considered. Considering sex in age estimation is relevant when relying on hand bone biometrics. A new tool was proposed to select the most appropriate age estimation formula, based on the discriminant analysis result and the a priori knowledge of the sex.

Age Estimation using Cephalometrics-A Cross-Sectional Study among Teenagers of Salem District, Tamil Nadu.

Age estimation is important not only in identifying dead body of a person but also in living persons since there is an increasing rate of juvenile delinquencies recorded every year. To avoid foul play by age fabrication, legal age estimation becomes important. Facial growth alteration takes place in the jawbones as age advances which can be observed with lateral cephalometry. Thus, the aim of the study is to create a regression formula for age estimation using cephalometrics of teenagers in Salem population. A cross-sectional study was done using 770 lateral cephalometrics of teenagers (13-19 yrs) in Salem population. Nine cephalometric points with two linear hard tissue measurements (condylion to mandibular plane (AFH) and palatal plane to menton (PFH)) and one angular soft tissue measurement (z angle) were recorded as predictor variables using a digital lateral cephalometric software (Carestream CS8100 SC) which were subjected to regression analysis using SPSS version 21.0 to develop a formula for age estimation. Significant association on age was obtained for the two linear measurements. The regression formula generated for estimating the age was Age = 7.146 + 0.044 (AFH) + 0.146 (PFH) with R2 value = 0.674. Within the limitations of the present study, age estimation of teenagers in Salem population can be estimated. The predictability of the age can be increased by taking more cephalometric variables in generating the formula with increase in sample size.

Age estimation using aortic measurements in a contemporary Japanese population

ABSTRACT At the time of death, estimating the age of unknown human remains is valuable for post-mortem identification. However, no sufficiently reliable methods have been developed to date. This study aimed to investigate the relationship between aortic measurements and age of human remains and to assess the feasibility of age estimation using aortic measurements. Data were collected from 550 Japanese dead bodies (321 male and 229 female subjects), ranging in age from infancy to older adulthood (age 0–97 years). During autopsy, aortic thoracic circumference (ATC) and aortic abdominal circumference (AAC) were measured using a ruler, and the sum of ATC and AAC (STA) was calculated. A simple linear regression analysis using the least-squares method was performed to evaluate the correlation between aortic measurements and age in years and to establish the formula for age estimation using aortic measurements. Additionally, four-parameter logistic curves were created for age estimation. Statistically significant positive correlations were found between age and each aortic measurement. Standard errors of the estimation values using ATC and STA were 9.90–12.27 and 8.88–12.28 years, respectively. The results suggest that age estimation based on aortic measurements is useful for forensic investigation.

Age estimation by evaluating median palatine suture closure using postmortem CT.

This study sought to develop an age-estimation formula to evaluate the extent of median palatine suture (MP) closure using postmortem computed tomographic (PMCT) images. The PMCT images of 634 Japanese subjects (mean age, 54.5 years; standard deviation [SD], 23.2 years) with known age and sex were examined. The degree of suture closure of the MP, anterior median palatine suture (AMP), and posterior median palatine suture (PMP) was measured and scored (suture closure score, SCS), and a single linear regression analysis was conducted with age at death. On the analysis, SCS of MP, AMP, and PMP showed a significant correlation with age (p < 0.001). The correlation coefficient of MP was higher (0.760, male; 0.803, female; and 0.779, total) than that of AMP (0.726, male; 0.745, female; and 0.735, total) or PMP (0.457, male; 0.630, female; and 0.549, total). The regression formula and standard error of estimation (SEE) of MP were calculated as Age = 100.95 × SCS + 20.51 (SEE 14.87 years) for male subjects, Age = 91.93 × SCS + 26.65 (SEE 14.12 years) for female subjects, and Age = 95.17 × SCS + 24.09 (SEE 14.59 years) for the total, respectively. In addition, another 50 Japanese subjects were randomly selected to validate the age-estimation formula. In this validation, the actual age of 36 subjects (72%) was within the estimated age ± SEE. This study showed that the age estimation formula using PMCT images of MPs was potentially useful for estimating the age of unidentified corpses.

A novel method to estimate adult age from the lumbar vertebral body using 3D PMCT images in Japanese

This study evaluated the age-related changes in the vertebral body using 3D Postmortem CT (PMCT) images and proposed an alternative age estimation formula. The PMCT images of 200 deceased individuals aged 25 to 99 years (126 males, 74 females) were retrospectively reviewed and included in the study. Using the open-source software ITK-SNAP and MeshLab, a 3D surface mesh of the fourth lumbar vertebral body (L4) and its convex hull models were created from the PMCT data. Using their inbuilt tools, volumes (in mm3) of the L4 surface mesh and convex hull models were subsequently computed. We derived VD, defined as the difference in volumes between the convex hull and L4 surface mesh normalized by L4 mesh volume, and VR, defined as the ratio of L4 mesh volume to convex hull volume based on individual L4. Correlation and regression analyses were performed between VD, VR, and chronological age. A statistically significant positive correlation (P < 0.001) between chronological age and VD, (rs = 0.764, males; rs = 0.725, females), and a significant negative correlation between chronological age and VR (rs = -0.764, males; rs = -0.725, females) was obtained in both sexes. The lowest standard error of the estimate was demonstrated by the VR at 11.9 years and 12.5 years for males and females, respectively. As such, their regression models to estimate adult age were Age = 248.9–2.5VR years, males; Age = 258.1–2.5VR years, females. These regression equations may be useful for estimating age in Japanese adults in forensic settings.

Development of New Formulas for Sex and Age Estimation by Assessing Maxillary Sinus Morphology on CBCT.

The morphology of the maxillary sinus varies between individuals which could be used in the forensic personal identification process. In the current study, the CBCT images of the maxillary sinus in 453 patients (217 males, 236 females) aged 14 to 95 years were analyzed. In particular, each left, and right maxillary sinus of the subjects was measured for its maximum height, width, and breadth in 2-D, and volume in 3-D perspectives, and their usefulness for age and sex estimation was examined. Regarding age estimation, because the size of the maxillary sinus increases up to 20s and then decreases over time, two separate age estimation formulas were created, one for subjects in their 14-21 years and the other for those over 22 years old. For each age group, multiple regression formulas were generated using the diameters and volume as explanatory variables and the chronological age as a response variable. This study used 150 cases not included in the study as a validation set for age estimation. Generally, all the diameters and volumes in both sinuses tended to increase till the mid-20s, and then gradually decreased over time. The derived formulas were tested for their accuracy on additional 150 subjects. Plausibly, the model could estimate the age between 14-21 years old with an average accuracy of ± 1.8 years for men and ± 3.2 years for women. Whereas for those over 22 years old, it was possible to estimate the age with an accuracy of ± 11.8 years for males and ± 10.3 years for females, respectively. A comparison of estimated age and chronological age did not show a statistically significant difference(P > 0.05). It was found that the left maxillary sinus had more age groups showing the most significant difference than other measurements between sexes(P < 0.05). The maxillary sinus height may be significantly affected by gender differences. Overall, this study showed the effectiveness of age and sex estimation using the maxillary sinus morphometric analyses.

New models to estimate fetal and young infant age with the pars basilaris biometry

The pars basilaris of the occipital bone is often found intact when fetal or infant bones are discovered. In the literature, several methods use measurements of this bone for juvenile’s age-at-death estimation, but it has already been demonstrated that they can come along methodological and statistical biases. In this study, new age prediction formulas were created from a learning sample of 208 CT scans of fetuses and infants from Marseilles (France) with normal development. The two statistically validated models, with a prediction interval of 95 % of reliability, were tested on a separate sample of 68 individuals, for which we ensured that they did not show any developmental pathology. Models show an average of 97.06 % of correct age estimates, compared to less than 26.6 % when using previously published which tend to overestimate age. The new age estimation formulas make it possible to estimate fetuses and infants age with very good results up to 2 postnatal months. Results are both reliable and precise enough for forensic practice, and we provide an automated tool (a simple excel spreadsheet) to ensure an easy and quick access to the application of this method.

A morphometric assessment of developing permanent dentition for age and sex estimation in a select South African sample

Dentition plays a crucial role in the fields of forensic science, forensic odontology and anthropology for age and sex estimation. The aim of this study was to determine the degree of sexual dimorphism and age prediction capabilities of permanent dentition using morphometric analysis. Six hundred digital panoramic radiographs (n = 600), belonging to 300 South African Black and 300 South African Indian, aged between 5.00 and 19.99 years were retrospectively examined using a cross-sectional design. The Pearson Correlation Coefficient tests were conducted to determine if a correlation exist between age, sex and each morphometric parameter. “Stepwise Regression Analysis” and “supervised machine learning classification” with a recursive feature elimination and logistic regression were then utilized to parsimoniously prune the morphometric parameters to determine the best models for age and sex estimation, respectively. Males generally displayed larger tooth dimensions than females, with the South African Black population group having larger tooth dimensions than the South African Indian population group. The morphometric parameters of the dentitions showed little sexual dimorphism, with weak correlations less than 0.1, in this study. However, strong correlations between age and the tooth length of the second and third maxillary and mandibular molars (R2 > 0.89) were recorded for the select South African Black and Indian population groups. In conclusion, the sex estimation formulae generated in this study had low performance accuracies for both population groups. However, the age estimation formulae developed from “Stepwise Regression Analysis” in this study were reliable predictors of age, with the tooth and root lengths displaying the best models for age estimation for the South African Black and Indian sample (R2 > 0.9).

Accuracy of the Cameriere's method and its variant the European Formula for age estimation in subadult peruvian population

To determine the accuracy of the Cameriere method and its variant, the European Formula, in a sub-adult Peruvian population; and determine a chronological age predictor equation. Descriptive, observational, cross-sectional and retrospective study. It was used 257 digital panoramic radiographs of patients in mixed dentition from 5 to 12 years of age belonging to the "Dental Cientifica" Dental Center of the Universidad Cientifica del Sur in the city of Lima, Peru. All morphological variables and gender of the subjects were used as predictor variables for age estimation. To evaluate the accuracy of each estimation method, the age of each individual was compared with the estimated age using the mean prediction error. Multiple linear regression was used to generate the predictive equation for chronological age. It was found that the mean prediction error between the chronological age with respect to the age estimated by the Cameriere method Formula and the European Formula was 0.73±0.55 years and 0.77±0.57 years, respectively. A model was generated whose predictor variables for age were s and N0, both variables were statistically significant and the Adjusted R2 for the number of variables was 75.96%. It was determined that Cameriere's Formula was more accurate than the European Formula; however, there was no statistically significant difference between the two. Additionally, it was possible to establish a specific linear regression formula for a Peruvian population aged 5 to 12 years with an adequate predictive capacity.

Application of Aspartic Acid Racemization for Age Estimation in a Spanish Sample.

Simple SummaryFor the correct identification of human skeletal remains, age is one of the key parameters. However, in adult individuals, this estimation is more difficult as it is not based on growing markers but on degeneration of the skeleton and the teeth. Thus, it can be very variable and less precise than age estimation in children and adolescents. The application of biochemical techniques, with their roots in aging research, could help to improve this estimation. This article presents the application of one of these approaches, aspartic acid racemization, to test its accuracy in a Spanish sample. This is based on the conversion of L-aspartic acid, the regular form of the amino acid in our proteins, into D-aspartic acid, its mirror image. The proportions of D-aspartic acid/L-aspartic acid increase with aging, enabling the determination of age in a more precise way than by applying forensic anthropology methodologies. This paper demonstrates that it was possible to apply this technique in a Spanish sample, obtaining accuracies of ±5 years of actual age. Additional studies should be developed to improve these estimates and to combine this technique with forensic anthropology methods.Correct age-at-death estimation in adult individuals is one of the challenges of forensic investigation. Forensic anthropology macroscopic techniques are non-invasive methods for this purpose. However, several methods need to be applied to accurately estimate age, and the difference between chronological and predictive age may still be around ±10 years. New research trends are focused on the inherent process of aging, which produces changes in tissues and organs at different biochemical levels. One of the oldest and most studied approaches in this field is aspartic acid racemization. The accuracy of this technique in age estimation has been widely demonstrated. However, only a few studies have assessed its accuracy in different populations. The aim of this research was to assess the accuracy of aspartic acid racemization in a Spanish sample and its applicability to forensic cases. Dentin from fifteen third molars from two Spanish populations (ages 19–70 years old) was isolated and D and L forms of aspartic acid were detected through GC/MS, according to a previous published protocol. D/L ratios were calculated and after the application of a regression analysis, a formula for age estimation was developed. The results were similar to previous studies, obtaining an R = 0.91 between racemization ratios and age and a mean absolute error (MAE) between chronological and predictive age of 5 years. These results were ratified by leave-one-out cross-validation, as well as the application of the formula to five teeth of a known age. Despite these promising results, this technique is not exempt from drawbacks; thus, further studies are required to apply this methodology to forensic cases and to combine it with forensic anthropology findings.

New Approach of Civil Age Estimation Based on the Study of Permanent Teeth Eruption

Civil age estimation is part of the process of individual identification for judicial purpose. It must be applicable for dead bodies as well as for living persons. Age can be estimated through the analysis of the permanent teeth eruption process. In the present study, this process was analysed based on the Bengston’s revisited stages illustrated by AlQhatani et al. in 2010. They were used to build a linear regression model for age estimation of children. This model was built on a sample composed of 191 orthopantomographs of children aged from 9 to 19.9 years old. The created model allowed the elaboration of a formula for civil age estimation based on the most relevant teeth groups associated to their eruption stages. The estimated age showed a good correlation with civil age (R2: 0.74), and a good accuracy rate (57% at +/- 12 months and 75% at +/- 18 months). Despite what was expected, sex was not correlated with age and was discarded from the analysis.

Development of age-estimation formula using postmortem oral findings: A pilot study.

The goal of this pilot study was to develop an age-estimation formula and assess its effectiveness after evaluating individual intraoral findings. A total of 198 Japanese adults were included, and intraoral findings were collected from the corpses. To analyze the condition of each tooth, 20 items were established for intraoral findings, and seven tooth states were established. Logistic regression analysis was used to estimate the impact of age on each intraoral finding. Sequentially, linear regression was applied to verify the correlation between age and type of tooth, and multiple regression was used to correlate age-dependent factors. The intraoral findings with age dependency were tooth stump, edentulous jaw, attrition, no caries, dental prostheses, partial dentures, and complete dentures. Tooth stump, attrition, and dental prostheses showed positive multicollinearity. Missing tooth, extant tooth, normal teeth, and untreated lost teeth were age-correlated. Multiple regression analysis included age as the response variable and five factors as the explanatory variables in a new age-estimation formula, resulting in±10years for 86.96% of cases (60-69years old), 76.47% (70-79years old), and 61.05% of all cases. The multiple correlation was 0.551, and the contribution rate of the multiple regression formula was 0.304. The accuracy of the proposed age-estimation formula was within±10years for 61.05% of all subjects. However, the accuracy of age estimation in subjects aged 60-79years was excellent (76.47-86.96%), which showed that this age-estimation formula would be effective for estimating the age of middle-aged to older subjects.

Age Estimation in Children by the Measurement of Open Apices in Teeth: A Study in the Western Indian Population.

In forensic sphere and clinical dentistry, age estimation is a topic of utmost importance. Various techniques are employed in children to determine age; however, dental development has proven to be an appropriate method because of its low variability. Cameriere's method is a widely accepted method of age estimation in children, which is carried out by measuring the projections of open apices and also the heights of developing permanent teeth seen on panoramic radiographs. The aim of this study is to establish a new formula for age estimation in the Western Indian population by measuring the open apices of mandibular teeth using Cameriere's European formula. For this study, we included 311 panoramic radiographs of healthy children living in Western India (Maharashtra, Gujarat, and Goa) aged 4–15 years which were analysed by two independent researchers. Seven left permanent mandibular teeth were assessed for length and width of open apices. Dental maturity was evaluated using measurements of the left seven permanent mandibular teeth (xi = Ai/Li, i = 1,…, 7), the sum of the normalized open apices (s), and the number (N0) of teeth with complete root formation. A linear relationship between open apices, N0, age, and other factors was evaluated with the aid of a stepwise multiple regression model. A stepwise linear regression showed that all parameters, gender, s, N0, and x5, were significantly associated with age (R = 85%). No statistically significant difference was found between the predicted and actual chronological age of children in the age group of 4–13 years using the regression equation for the Western Indian population. The present research suggests that the new regression formula developed will be more accurate for age assessment in the Western Indian population.

The accuracy of Belgrade Age Formula method for dental age estimation in Montenegrin children aged 10–12 years

Introduction/Objective. The aim of the study was to test the accuracy of Belgrade Age Formula (BAF) for dental age estimation on the sample of Montenegrin children. Methods. The radiographs of 134 Montenegrin children (67 females and 67 males) saved as ?jpeg? files were analyzed with Image J software. Sex, the number of teeth with complete development, apex width and tooth length of the mandibular canine and second molar were used in order to calculate dental age with the BAF formula. Results. The discrepancy between estimated dental age and chronological age was -0.088 ? 0.64 years; the absolute difference was 0.52 ? 0.39 years. The percentage of participants whose estimated dental age differed six months from their chronological age was 61.2 and 53.7 for females and males, respectively, while the percentage of participants whose estimated dental age differed 12 months from their chronological age was 94 and 83.6 for females and males, respectively. Conclusion. The BAF may be an accurate approach for estimating dental age in Montenegrin children aged 10?12 years with uncompleted tooth development. However, BAF has to be evaluated on a larger sample of Montenegrin infants in future studies.

A Digital Radiographic Study of Age Estimation Using Area-specific Formula in Odisha Population

The aim of the article was to evaluate the feasibility of pulp/tooth area ratio in three mandibular teeth, namely left canine, left first premolar, and left second premolar (33, 34, and 35), as an indicator of age using digital panoramic radiograph and Kvaal's parameters. The study also aimed at computing an area-specific formula for age estimation in Odisha population. Observation and analysis of 50 digital orthopantomographs (OPGs) and clinical data of patients were made. These images were saved as high-resolution JPEG files. Using the Adobe Photoshop CS3 (extended) image editing software program (Adobe Systems Inc, San Jose, California, United States), the pulp/tooth area ratio of 33, 34, and 35 was analyzed. These ratios were substituted in Odisha population-specific formula, derived using principal component regression analysis. The mean chronological age was 33.24 years. Principal component regression analysis was used to derive multiple regression formulae for individual teeth as well as a combined formula. R2 (coefficient of determination) for combined three mandibular teeth was highest (0.7769) with a standard error of 4.5969 years and thus was a better predictor of age in the population of Odisha. In terms of an individual tooth, comparison between chronological and predicted age revealed that left second mandibular premolar (35) had highest correlation to actual age. Karl Pearson's correlation coefficient showed correlation between age and the mean of ratios from combined three mandibular teeth was stronger than that of single tooth. In the present study, second left mandibular premolar showed highest correlation to actual age when used alone. The use of three teeth in combination increased the correlation. This Odisha-specific formula showed promising results and can be used for forensic applications in this population. Using three different teeth for age estimation proved to be a better predictor of age in the Odisha population. Moreover, the obtained formula can act as a standard and be used for anthropological or forensic investigations in the said population.

Quantifying the ossification of the carpus: Radiographic standards for age estimation in a New South Wales paediatric population

Age estimation from radiographs is common when age is not documented, such as in forensic, refugee and asylum seeker cases. The methods currently used are outdated and not applicable to all human groups due to variations between populations and secular changes in growth. This study aims to use the ossification of the carpus in a modern sample of New South Wales children to produce an age estimation formula that can be applied to cases of undocumented age. Hand radiographs (n = 400; 194 left and 206 right) from the Sydney children’s hospital, aged from birth to 17 years (256 males and 144 females) were analysed. Bone area (BO) and carpal area (CA) were measured, and a carpus ossification ratio (BO/CA) was calculated for each individual. Linear regression analysis was used to produce a formula for age estimation. Analysis demonstrated no significant difference in the ossification ratio (95% CI) between wrists of left and right sides and a regression formula for age was determined to be [−0.972 + 1.403 g + 21.758 (BO/CA)] ± 1.40 (g is 1 for males and 0 for females). This regression formula accounted for 88% of total variance. The median of the absolute values of residual (MAR) and the standard error of estimate (SEE) were −0.03 years, 1.40 years respectively. Using the ossification ratio of the carpus, an age estimation formula with a relatively high degree of reliability and accuracy was generated for a modern sample of New South Wales Children.