Accuracy of Cameriere,Haavikko, and Willems radiographic methods on age estimation on Bosnian–Herzegovian children age groups 6–13

The aim of this cross-sectional study was to compare the accuracy of the Cameriere European formula (Cameriere), adopted Haavikko method from 1974 (Haavikko), and revisited Demirjian method by Willems (Willems) for age estimation on orthopantomograms (OPGs) of Bosnian–Herzegovian (BH) children age groups 6–13 years. The accuracy was determined as difference between estimated dental age (DA) and chronological age (CA) and the absolute accuracy (absolute difference) was assessed by analyzing OPGs of 591 girls and 498 boys. The Cameriere method overestimated the mean age by 0.09 year for girls and underestimated by −0.02 year for boys. The Haavikko method underestimated the mean age by −0.29 year for girls and −0.09 year for boys. The Willems method overestimated the mean age by 0.24 year in girls and by 0.42 year in boys. The absolute accuracies were 0.53 year for girls and 0.55 year for boys for Cameriere method; for Haavikko method, 0.59 year for girls and 0.62 year for boys; and for Willems method 0.69 year for girls and 0.67 year for boys. In conclusion, Cameriere method is the most accurate for estimating the age of BH children age groups 6–13 years using OPGs, following adopted Haavikko method and Willems method.

     

Dental age estimation of Tibetan children and adolescents: Comparison of Demirjian,Willems methods and a newly modified Demirjian method

Tibetan ethnic group is one of the oldest ethnic groups in China and South Asia. This study set out to analyze the dental development and validate Demirjian method and Willems method in estimating dental age of Tibetan children and adolescents, and to modify Demirjian method based on Tibetan population to provide ethnic-specific reference data and a more reliable method for forensic age assessment in Tibetan ethnic group. In this study, 1951 samples aged between 4 and 15 years were retrospectively collected and analyzed. Multiple linear regression was used to establish relationship between chronological age (CA) and developmental stages of left mandibular permanent teeth. The accuracy of the modified method was tested and compared with that of Demirjian and Willems method. Results showed that dental maturity score (DMS) was significantly greater in girls than in boys in all age groups except for the 4-year age group (p < 0.05). Mean absolute error (MAE) was 0.96 years for both boys and girls by Demirjian method, and 1.06 and 1.16 years for boys and girls respectively by Willems method. Adjusted scores table was established and tested. The age of boys was overestimated by 0.13 years and the age of girls was underestimated by 0.06 years by the adjusted scores table. MAE was lower than that of the other two methods. In conclusion, Demirjian method and Willems method was not sufficiently accurate in estimating dental age of Tibetan population. The modified method was more suitable for dental age estimation of Tibetan population than Demirjian and Willems method.     

Measurement of open apices in tooth roots in Colombian children as a tool for human identification in asylum and criminal proceedings

Dental age estimation was recognized as an imperative issue in clinical and medico-legal practice. However, very few studies on dental age estimation in children have been published in Colombia. This study evaluated the accuracy of Cameriere's method of measurement of open apices on tooth roots in a sample of 526 digital panoramic radiographs (OPTs) of children (274 boys and 252 girls), aged between 6 and 14 years, from Bogotá, Valle del Cauca, Buga and Villavicencio, in Southwest Colombia. Only first seven permanent lower teeth, except third molar, from the left side of mandible were studied. Difference between dental age and chronological age was evaluated for boys and girls across nine age classes. Intra-class correlation coefficient and Kappa score was used to test intra- and inter-observer agreement error rate. Dental age was overestimated by 0.08 years and standard deviation (±SD) of 0.68 years in boys which was not statistically significant (p = 0.06), while in girls dental age underestimated by −0.25 ± 0.65 years which was statistically significant difference (p < 0.001). The absolute difference between DA and CA or mean prediction error (ME) was 0.57 ± 0.38 years in boys and 0.57 ± 0.41 in girls (p = 0.966) which implies that Cameriere's European formula is similarly accurate in both sexes in this sample of Colombian children.     

A comparison of the validity of the Demirjian,Willems, Nolla and Häävikko methods in determination of chronological age of 5–15 year-old Indian children

BackgroundDemirjian's method has been the most popular and extensively tested radiographic method of age estimation. More recently, Willems' method has been reported to be a better predictor of age. Nolla's and Häävikko's methods have been used to a lesser extent. Very few studies have compared all four methods in non-Indian and Indian populations. Most Indian research is limited by inadequate sample sizes, age structures and grouping and different approaches to statistical analysis.AimThe present study aimed to evaluate and compare the validity of the Demirjian, Willems, Nolla and Häävikko methods in determination of chronological age of 5 to 15 year-old Indian children.DesignIn this cross-sectional observational study, four methods were compared for validity in estimating the age of 1200 Indian children aged 5-15 years.ResultsDemirjian's method overestimated age by +0.24 ± 0.80, +0.11 ± 0.81 and +0.19 ± 0.80 years in boys, girls and the total sample, respectively. With Willems' method, overestimations of +0.09 ± 0.80, +0.08 ± 0.80 and +0.09 ± 0.80 years were obtained in boys, girls and the total sample, respectively. Nolla's method underestimated age by -0.13 ± 0.80, -0.30 ± 0.82 and -0.20 ± 0.81 years in boys, girls and the total sample, respectively. Häävikko's method underestimated age by -0.17 ± 0.80, -0.29 ± 0.83 and -0.22 ± 0.82 years in boys, girls and the total sample, respectively. Statistically significant differences were observed between dental and chronological ages with all methods (p < 0.001). Significant gender-based differences were observed with all methods except Willems' (p < 0.05). Gender-specific regression formulae were derived for all methods.ConclusionWillems' method most accurately estimated age, followed by Demirjian's, Nolla's and Häävikko's methods. All four methods could be applicable for estimating age in the present population, mean prediction errors being lower than 0.30 years (3.6 months).     

Comparative assessment to determine the accuracy of Demirjian and DARLInG methods of dental age estimation in western Indian children

The aim of this study is to compare the accuracy of Demirjian and Dental Age Research London Information Group (DARLInG) methods of dental age estimation in western Indian children. A total of 485 dental panoramic radiographs of children aged between 4 and 15 years were included in this study. Dental age was estimated based on the degree of mineralization of permanent teeth in the left side of the arch. Dental age was estimated from the scores obtained from the Demirjian and DARLInG’s United Kingdom Caucasian datasets respectively. The difference between the chronological age (CA) and dental age (DA) in each range (CA-DA) was analysed using paired t-test. The age and sex-based differences of the estimated age using the two methods were tested using ANOVA and Pearson correlation co-efficient analysis. The overall mean CA was 8.74 years and 9.00 years for boys and girls respectively. The overall mean difference (CA-DA) using the Demirjian’s method for boys and girls were −0.68 years and −0.52 years respectively (p < 0.05). Using the DARLInG’s method, the overall mean difference (CA-DA) was −0.31 years and −0.34 years for boys and girls respectively (p < 0.05). Between the two methods, significant differences were observed in different age groups (p < 0.05). Pearson correlation coefficient showed significant positive correlation between dental age estimated from the Demirjian and DARLInG methods (p < 0.05). The DARLInG method provided better estimate of age compared to Demirjian method in the western Indian population. However, an ethnic specific reference dataset specific to this population would likely produce accurate age estimates.     

Dental age estimation on Bosnian–Herzegovinian children aged 6–14 years: Evaluation of Chaillet's international maturity standards

BackgroundDental age estimation in children plays an important role in forensic dentistry. The most commonly used method for age estimation was developed by Demirjian in 1973 on a French–Canadian sample. It generally overestimates dental age in many populations. International maturity standards were formed to obtain a predicted age with more confidence when ethnic origin was not available.ObjectivesThe aim of this study was to evaluate the applicability of Chaillet's international scores in the dental age assessment on Bosnian Herzegovinian (BH) children.MethodsOrthopantomograms of 1772 children, 980 girls and 792 boys aged 6.04–14.90 years, were assessed using Chaillet's international maturity tables and curves. The dental ages for both genders were compared to the chronological ages through a paired t-test.ResultsMean overestimation using Chaillet's international maturity standards were 0.09 ± 0.83 for girls and 0.28 ± 0.90 for boys. The absolute accuracy of residuals between the dental and chronological age were 0.65 ± 0.52 years for girls (Median: 0.52 years) and 0.73 ± 0.60 years for boys (Median: 0.57 years).ConclusionThe Polynomial compound formula was recommended to predict dental age with more accuracy for results of international maturity standards on BH children.     

Dental age estimation in Egyptian children,comparison between two methods

The need to estimate age of living individuals is becoming increasingly more important in both forensic science and clinical dentistry. The study of the morphological parameters of teeth on dental radiographs of adult humans is more reliable than most other methods for age estimation. Willems and Cameriere methods are newly presented methods. The aim of this work was to evaluate the applicability of using these methods for Egyptian children. Digitalized panoramas taken from 286 Egyptian children (134 boys, 152 girls) with age range from 5 to 16 years were analyzed. The seven left permanent mandibular teeth were evaluated using the two methods. The results of this research showed that dental age estimated by both methods was significantly correlated to real age. However, Willems method was slightly more accurate (98.62%) compared to Cameriere method (98.02%). Therefore, both methods can be recommended for practical application in clinical dentistry and forensic procedures on the Egyptian population.     

Testing the nonlinear equations for dental age evaluation in a population of eastern China

ObjectiveThe study evaluated the validity of the nonlinear equations (Qingdao model) for dental age assessment in an eastern Chinese population.Materials and methodsWe studied 1073 digital panoramic radiographs of children aged 11–16 years from a Chinese Han population. Dental ages (DAs) were calculated using the Demirjian and the new model methods. Statistical significance was set at p < 0.05. For each method, differences between the chronological age (CA) and dental age were analyzed by paired t-tests and mean absolute error (MAE).ResultsThe discrepancies between CA and DA determined by Qingdao model were 0.18 and 0.30 years for males and females, respectively. While using Demirjian method, these differences were and 0.46 and 0.30. The Qingdao model’s MAEs between DA and CA were 1.23 and 0.90 years in males and females, respectively. As for the Demirjian method, MAEs were 1.43 and 0.86 years in males and females.ConclusionsThis study showed that the new nonlinear equations were more accurate than the traditional Demirjian method. Especially, the new nonlinear Qingdao model is more competitive in 11–14-year male groups and 15–16-year female groups. We recommend a combined Qingdao model and Demirjian method may reasonably reflect the CAs among children in the eastern Chinese population.     

Applicability of the Demirjian method for dental assessment of southern Turkish children

Age-related legal problems are especially common in underdeveloped parts of Turkey. In terms of civil and criminal law, the ages from 13 years to 18 years are critical in our country. Estimation of age is a very significant in aspect of accordance with laws. The aims of this study were to evaluate the applicability and accuracy of the Demirjian technique for assessing southern Turkish children; to analyze the sexual dimorphism of dental age in the studied groups; and to define the relationship between the dental age and the degree of mineralization in mandibular permanent tooth in southern Turkish children.This study was performed using panoramic radiographs from 932 healthy southern Turkish children, 444 girls and 488 boys aged between 4 and 18 years. Statistical evaluations were performed using SPSS (Statistical Package for Social Sciences) for Windows 13.0 software. The mean difference between dental and chronological age was calculated for each age and sex group. The paired t-test was used to compare all data. The chi-square test was used for between-group comparisons of categorical variables. Continuous variables were tested for normality using the Kolmogorov–Smirnov test. Relationships between continuous variables were examined using Pearson's correlation coefficient. The same observer re-examined 700 teeth three months after the first examination. The results were evaluated with the intraclass correlation test and both measurements were statistically significantly similar with each other(R = 0.982, p = 0.0001). .Dental age (DA) and chronological age (CA) were consistent for boys in the 16–16.9 age group and for girls in the 9–9.9 and 15–15.9 age groups.From this study, we can conclude that dental age varies across ethnic populations. Additionally, dental maturation varies across different regions of the same country. Because Demirjian's standards are not suitable for all age groups of southern Turkish children, a new table is necessary for evaluating this population. Future studies using multi-ethnic population data are needed to establish the international applicability of Demirjian's method.     

Accuracy of the Demirjian's method for assessing the age in children,from 1973 to 2020. A meta-analysis

One of the most common ways to assess the age in subadults using dental records is the Demirjian method. As the number of the studies using this method increased significantly in the recent years, and as their results were often conflicting, we investigated the accuracy of the method.We performed a systematic review and meta-analysis of observational studies obtained from Pubmed, using a random-effects model with the DerSimonian-Laird estimator, and raw mean difference for effect size measure. Prediction intervals (at 95%) were used to assess the presence of significant statistical differences between chronological and dental age.Our meta-analysis showed that Demirijan’s method overestimated dental age by 0.48 years in girls and 0.51 in boys. Depending on the location and sex, in girls the smallest average overestimation was found in Asia (except India), with a value of 0.36 years, and the largest overestimation in Turkey/Arabia, with a value of 0.66 years. In boys, the smallest average overestimation was found in India (0.45 years), but Asia (except India), Africa – both with 0.46 years and Oceania – with 0.47 years were close, while the largest overestimation was found in Turkey/Arabia, with an average value of 0.63 years.The Demirjian method overestimated the age by about half a year for both sexes. Even if there are some geographical/ethnic differences, they are rather small, making the method useful irrespective of the ethnic profile of the subjects.     

Accuracy of the London Atlas,Haavikko’s Method and Cameriere’s European Formula of dental age estimation in Turkish children

Age estimation is a mandatory procedure when the chronological age is unknown or uncertain. Dental development is the preferred characteristic for estimating a child's age. There are many methods for dental age estimation, but their reliability can differ between populations. This study compared the accuracy of three of these methods—the London Atlas (LA), Haavikko's method (HM), and Cameriere's European formula (CF)—in Turkish children living in northwestern Turkey. Panoramic radiographs of 980 children from northwestern Turkey aged between 6.00 and 14.99 years were examined for the whole study group and separately for different ages and sexes by all three methods. Statistical differences between chronological age and dental age were tested using the paired sample t-test and the Wilcoxon signed-rank test. The LA, HM, and CF accuracies were determined based on the mean absolute error. Spearman's rank correlation coefficient showed that the correlation between chronological age and dental age for both sexes was linear for all methods. The LA overestimated the chronological age by 0.09 years, while HM and CF underestimated it by 0.49 and 0.11 years, respectively. The difference between dental age and chronological age was significant in all samples, for all methods, except for the LA in boys. When boys, girls, and the total sample were evaluated, values with the lowest mean absolute error were obtained by HM and were statistically significant in all three groups. Therefore, HM is more accurate than the LA and CF for dental age estimation in Turkish children living in northwestern Turkey.     

Is Willems method universal for age estimation: A systematic review and meta-analysis

Dental age (DA) has been widely accepted as a way to evaluate chronological age (CA) in recent years. However, the applicability of Willems method, as one of the most popular radiographic ways, still remains controversial in different areas. The aim of this study is to assess the difference between DA and CA with Willems method. Relevant studies published up to February 28th, 2017 were selected via PubMed, Embase, the Cochrane Library, CNKI, CBM and manual search. Studies that examined Willems dental age and chronological age were selected. 11 articles with 9347 individuals whose age ranged from 3.0 to 18.9 years old were ultimately included in this study. The general polled data indicated that Willems method overestimated CA by 0.18 years and 0.06 years for males and females respectively. Subgroup analysis for ethnicity showed significant difference for different ethnicities. Our aggregated data demonstrated that Willems method may not be an overall applicable tool to estimate chronological age for the reason of the difference of ethnicity and rational validity is suggested when necessary.     

Dental age assessment (DAA): reference data for British children at the 10-year-old threshold

The purpose of this work was to develop a reference dataset for dental age assessment at the 10-year-old threshold. Dental panoramic radiographs of children aged between 9 and 11 years were reused to determine the age of attainment of tooth development stages relevant to the 10-year threshold. These data were used to test the accuracy of the dental age assessment (DAA) on a separate study sample of known chronological age. The study sample comprised 100 radiographs (50 female, 50 male) of known chronological age that did not form part of the reference dataset. For each subject in the study sample, the mathematical procedure used in meta-analysis was applied to all teeth that were still developing. The weighted average of all the developing teeth in a given child was assigned as the dental age for that individual. This was compared to the gold standard of chronological age. Three thousand six hundred sixty-two radiographs comprised the reference sample. The mean difference between the chronological age and dental age estimated for the sample of female subjects was 0.12 years (1.44 months) and for the males was 0.33 years (3.96 months). A method comparison technique was used to evaluate the difference between the chronological age and estimated dental age for each study subject. This showed a good agreement for both females and males. DAA using meta-analysis provides a simple method of estimating the age of subjects of unknown birth date at the 10-year threshold. This is, presently, the most accurate method of age assessment for individuals of unknown date of birth.     

The applicability of Willems' method for age estimation in southern Turkish children: A preliminary study

The aims of the present study were to evaluate the applicability and accuracy of Willems' method for assessing southern Turkish children and to analyze the practicability of this method in different age groups for both genders.Panoramic radiographs of 756 children (378 females, 378 males) aged between 5 and 14.99 years were examined by one observer. This retrospective study involved a contemporary southern Turkish population. The chronological ages of the subjects were divided into 10 groups. These 10 groups consisted of children of the following ages 5 and 14.99. Relationships between continuous variables were examined using Pearson's correlation coefficient. The paired t-test was used to compare all data according to gender and age groups. A p-value of less than 0.05 was considered significant for all statistical data.According to the results, a very high correlation was found for both girls (r² = 0.946) and for boys (r² = 0.940). Dental age (DA) and chronological age (CA) were consistent for girls in the four age groups (5–5.99, 6–6.99, 12–12.99, and 14–14.99) and for boys in the three age groups (5–5.99,13–13.99, 14–14.99).The maturity score of Willems' Belgian samples of the DA was applicable to seven groups of the southern Turkish children. The present study reports that Willems' method is more accurate for girls than for boys.     

A quick method of determining the age of 8 years old: Based on the first premolars on Eastern Chinese population

BackgroundWhether an individual is over 8 years old is of great significance in clinical medicine and law. The Demirjian, Willems and Cameriere methods are one of the most widely used methods of dental age estimation, but neither method was suitable in Eastern China. And all of them are time-consuming for clinical work. A new and time-saving method for judging whether an individual is 8 years old is yet to be proposed on Eastern Chinese population.AimThe paper proposes a method for judging whether an individual is 8 years old based on the relationship between age and the first premolar maturity index (I_1PM), which is related to the measurement of the open apices of the first premolar.Subjects & MethodsIt is a retrospective study where orthopantomograms of 748 children (356 female and 392male) aged 5–13 years were collected and analyzed. Linear regression was used to infer the value of I_1PM for eastern China. Furthermore, this method was compared to those based on Demirjian’s stages F.Results and ConclusionsA cutoff value of I_1PM = 0.35 was taken. The sensitivity of this test was 90.0% and specificity was 93.3%. Furthermore, the proportion of individuals with a correct classification was 90.9%. The results of the test showed that Demirjian’s stage F performance was lightly better than I_1pm < 0.35. However, the sensitivity, specificity, and overall accuracy of both are greater than or equal to 90.0%, and the differences are not very significant.     

Efficacy of machine learning assisted dental age assessment in local population

IntroductionAlthough the dental age assessment is commonly applied in forensic and maturity evaluation, the long-standing dilemma from population differences has limited its application.ObjectivesThis study aimed to verify the efficacy of the machine learning (ML) to build up the dental age standard of a local population.MethodsWe retrospectively studied 2052 panoramic films retrieved from healthy Taiwanese children aged 2.6–17.7 years with comparable sizes in each age-group. The recently reported Han population-based standard (H method) served as the control condition. To develop and validate ML models, random divisions of the sample in an 80%–20% ratio repeated 20 times. The model performances were compared with the H method, Demirjian’s method, and Willems’s method.ResultsThe ML-assisted models provided more accurate age prediction than those non-ML-assisted methods. The range of errors was effectively reduced to less than one per year in the ML models. Furthermore, the consistent agreements among the age groups from preschool to adolescence were reported for the first time. The Gaussian process regression was the best ML model; of the non-ML modalities, the H method was the most efficacious, followed by the Demirjian’s method and Willems’s methods.ConclusionThe ML-assisted dental age assessment is helpful to provide customized standards to a local population with more accurate estimations in preschool and adolescent age groups than do studied conventional methods. In addition, the earlier complete tooth developments were also observed in present study. To construct more reliable dental maturity models in the future, additional environment-related factors should be taken into account.     

Development of a Reference Data Set (RDS) for dental age estimation (DAE) and testing of this with a separate Validation Set (VS) in a southern Chinese population

BackgroundMany countries have recently experienced a rapid increase in the demand for forensic age estimates of unaccompanied minors. Hong Kong is a major tourist and business center where there has been an increase in the number of people intercepted with false travel documents. An accurate estimation of age is only possible when a dataset for age estimation that has been derived from the corresponding ethnic population. Thus, the aim of this study was to develop and validate a Reference Data Set (RDS) for dental age estimation for southern Chinese.Materials and methodsA total of 2306 subjects were selected from the patient archives of a large dental hospital and the chronological age for each subject was recorded. This age was assigned to each specific stage of dental development for each tooth to create a RDS. To validate this RDS, a further 484 subjects were randomly chosen from the patient archives and their dental age was assessed based on the scores from the RDS. Dental age was estimated using meta-analysis command corresponding to random effects statistical model. Chronological age (CA) and Dental Age (DA) were compared using the paired t-test.ResultsThe overall difference between the chronological and dental age (CA-DA) was 0.05 years (2.6 weeks) for males and 0.03 years (1.6 weeks) for females. The paired t-test indicated that there was no statistically significant difference between the chronological and dental age (p > 0.05).ConclusionThe validated southern Chinese reference dataset based on dental maturation accurately estimated the chronological age.     

Movement quality in adolescence depends on the level and type of physical activity

ObjectivesThis study examined the relationship between functional movement and physical activity (PA) levels in adolescents.DesignCross-sectional study.SettingThis research is a part of the CRO-PALS longitudinal study conducted in a random sample of adolescents in Zagreb at the Faculty of Kinesiology, University of Zagreb, Croatia.ParticipantsSeven hundred and twenty-five adolescents aged between 16 and 17 years were included.Main outcome measureTotal Functional Movement Screen score (total FMS score).ResultsAfter adjusting for age, body fat and SES, both VPA and MVPA showed minor but significant effects on total FMS score among girls (β = 0.011, p = 0.001, β = 0.005, p = 0.006, respectively), but not in boys (β = 0.004, p = 0.158; β = 0.000, p = 0.780). Regarding PA type, volleyball and dance improved total FMS score (β = 1.003, p = 0.071; β = 0.972, p = 0.043, respectively), while football was associated with lower FMS score (β = −0.569, p = 0.118).ConclusionResults suggest that the PA level is positively associated with the functional movement in adolescent girls, but not in boys, where the type of PA moderates these associations. Therefore, functional movement patterns incorporated into physical education curriculum could be beneficial to the musculoskeletal health of the children.     

Dental age estimation in Somali children using the Willems et al. model

Aim

The aim of the current study was to retrospectively collect dental panoramic radiographs from Somali children living in Finland, to use the radiographic data to develop a new age estimation model based on the model established by Willems et al. (J Forensic Sci 46(4):893–895, 2001), and to compare the age prediction performances of the Willems et al. model (WM) and the newly developed model.

Material and methods

Dental panoramic radiographs from 808 healthy Somalis born in Finland were selected. The development of the seven left mandibular permanent teeth, from the central incisor to the second molar, was staged according to Demirjian et al. (Hum Biol 45(2):211–227, 1973). Radiographs with all listed permanent teeth completely developed were excluded. The studied sample consisted of 635 subjects (311 females, 324 males) ranging in age from 4 to 18 years. Kappa and weighted Kappa statistics were used to quantify intra- and inter-observer agreement in stage allocation. The collected dataset was used to validate the WM, constructed on a Belgian Caucasian reference sample, and to establish a Somali-specific age estimation model (SM) based on the WM. Both models were validated and their age prediction performances quantified using mean error (ME), mean absolute error (MAE) and root mean squared error (RMSE).

Results

The SM resulted in a slight underestimation of age when the sex groups were analysed separately or combined, with ME varying between 0.04 (standard deviation (SD) 1.01) and 0.05 (SD 1.04) years, MAE between 0.77 and 0.80 years and RMSE between 1.01 and 1.04 years. The WM statistically significantly underestimated the age of females, with an ME of 0.20 (SD 1.01) years (p = 0.0006). For males, and for females and males combined, no statistically significant ME was observed.

Conclusion

The WM and SM were similar in their age prediction performances, and the use of the WM in dental age assessment in the Somali population is justified.