The Experts below are selected from a list of 2520 Experts worldwide ranked by ideXlab platform
Guy Willems - One of the best experts on this subject based on the ideXlab platform.
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Human Dental Age Estimation by calculation of pulp-tooth volume ratios yielded on clinically acquired cone beam computed tomography imAges of monoradicular teeth.
Journal of forensic sciences, 2010Co-Authors: Hazha Star, Tore Solheim, Reinhilde Jacobs, Patrick Thevissen, Steffen Fieuws, Guy WillemsAbstract:Secondary dentine is responsible for a decrease in the volume of the Dental pulp cavity with aging. The aim of this study is to evaluate a human Dental Age Estimation method based on the ratio between the volume of the pulp and the volume of its corresponding tooth, calculated on clinically taken cone beam computed tomography (CBCT) imAges from monoradicular teeth. On the 3D imAges of 111 clinically obtained CBCT imAges (Scanora(®) 3D Dental cone beam unit) of 57 female and 54 male patients ranging in Age between 10 and 65 years, the pulp-tooth volume ratio of 64 incisors, 32 canines, and 15 premolars was calculated with Simplant(®) Pro software. A linear regression model was fit with Age as dependent variable and ratio as predictor, allowing for interactions of specific gender or tooth type. The obtained pulp-tooth volume ratios were the strongest related to Age on incisors.
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Dental Age Estimation through volume matching of teeth imAged by cone-beam CT
Forensic Science International, 2006Co-Authors: Fan Yang, Reinhilde Jacobs, Guy WillemsAbstract:A custom-made voxel counting software for calculating the ratio between pulp canal versus tooth volume based on cone-beam CT tooth imAges was developed and evaluated. The aim of this study was to attempt establishing a correlation between the chronological Age of a certain individual and the pulp/tooth volume ratio of one of the teeth. Twenty-eight single rooted teeth of 19 individuals with well-known chronological Age were scanned by the cone-beam CT (3D Accuitomo, J. Morita, Kyoto, Japan). Next the imAges were analyzed using the custom-made software. Linear regression analysis was performed. The results of the analysis showed a moderate correlation between the pulp/tooth volume ratio and biological Age with a coefficient of determination (R2) of 0.29. Although the present work was limited to a pilot study, the developed technique showed promising results for Dental Age Estimation in a non-invasive manner using cone-beam CT imAges in living individuals.
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Dental Age Estimation and third molars: a preliminary study
Forensic science international, 2002Co-Authors: Katrien Mesotten, Kathleen Gunst, An Carbonez, Guy WillemsAbstract:Abstract The aim of the present investigation was to reconstruct the chronological Age based on the Dental developmental stAges of third molars evaluated on orthopantomograms. A total of 1175 orthopantomograms were assembled from patients of Caucasian origin between 16 and 22 years of Age. Each third molar present was scored by two observers according to a 10-stAge developmental scale. The κ statistics measured the intra- and inter-observer reliability. The general statistical analysis was based on multiple regression analysis in order to obtain multiple regression formulas for Dental Age Estimation based on the number of third molars present on the evaluated orthopantomogram. No regression models were statistically significant when there was only one-third molar present because of the relatively small number of orthopantomograms that fitted this criterion. A strong agreement was found between the intra- and inter-observer measurements. The statistical analysis revealed both for males and females high Pearson correlation coefficients between contralateral third molars and smaller coefficients between antimeres. The obtained multiple regression formulas are only applicable in certain specified conditions, for instance when four third molars are present the following formulas should be used in a Caucasian male “Age=10.2000+0.5122UL+0.5273LL” (developmental stAge of upper and lower left third molars) or in case of a female “Age=13.6206+0.1933UR+0.5080LR” (developmental stAge of upper and lower right third molars). This investigation revealed that the chronological Age of a Caucasian individual may be estimated based on regression formulas with a S.D. of 1.52 or 1.56 years for males and females, respectively, when all four third molars are present.
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Dental Age Estimation in Belgian children: Demirjian's technique revisited.
Journal of forensic sciences, 2001Co-Authors: Guy Willems, A Van Olmen, Bart Spiessens, Carine CarelsAbstract:Aim: The purpose of this study was to evaluate the accuracy of Demirjian's Dental Age Estimation (1,2) in children in a Belgian Caucasian population and to adapt the scoring system in case of a significant overEstimation as frequently reported. We selected 2523 orthopantomograms of 1265 boys and 1258 girls, of which 2116 (1029 boys and 1087 girls) were used for estimating the Dental Age with the Demirjian's technique. The 407 other orthopantomograms were beyond the original Age limit (1). A second sample of 355 orthopantomograms was used to evaluate the accuracy of the original method and the adapted method. A signed-rank test was performed to search for significant Age differences between the obtained Dental Age and the chronological Age. A weighted ANOVA was performed in order to adapt the scoring system for this Belgian population. The overEstimation of the chronological Age was confirmed. The adapted scoring system resulted in new Age scores expressed in years and in a higher accuracy compared to the original method in Belgian Caucasians.
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A review of the most commonly used Dental Age Estimation techniques.
The Journal of forensic odonto-stomatology, 2001Co-Authors: Guy WillemsAbstract:This review of literature provides an overview of the most commonly used Dental Age Estimation techniques and focuses on Dental Age Estimation scoring systems in children and adults. In order to obtain a more reliable and reproducible Age Estimation the forensic odontologist should use several of these available methods whenever an Age Estimation in the living or dead is required.
Tore Solheim - One of the best experts on this subject based on the ideXlab platform.
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Human Dental Age Estimation by calculation of pulp-tooth volume ratios yielded on clinically acquired cone beam computed tomography imAges of monoradicular teeth.
Journal of forensic sciences, 2010Co-Authors: Hazha Star, Tore Solheim, Reinhilde Jacobs, Patrick Thevissen, Steffen Fieuws, Guy WillemsAbstract:Secondary dentine is responsible for a decrease in the volume of the Dental pulp cavity with aging. The aim of this study is to evaluate a human Dental Age Estimation method based on the ratio between the volume of the pulp and the volume of its corresponding tooth, calculated on clinically taken cone beam computed tomography (CBCT) imAges from monoradicular teeth. On the 3D imAges of 111 clinically obtained CBCT imAges (Scanora(®) 3D Dental cone beam unit) of 57 female and 54 male patients ranging in Age between 10 and 65 years, the pulp-tooth volume ratio of 64 incisors, 32 canines, and 15 premolars was calculated with Simplant(®) Pro software. A linear regression model was fit with Age as dependent variable and ratio as predictor, allowing for interactions of specific gender or tooth type. The obtained pulp-tooth volume ratios were the strongest related to Age on incisors.
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Dental Age Estimation, quality assurance and Age Estimation of asylum seekers in Norway
Forensic Science International, 2006Co-Authors: Tore Solheim, Anne VonenAbstract:The historical development of Age Estimation and the different techniques are presented. Also it is important to separate individuals below 20 years where tooth development can be used and those above 20 years of Age where regressive changes must be used and where the visual assessment may be more important. The recommendations for quality assurance from the International Organization for Forensic Odonto Stomatology (IOFOS) is discussed and also the problems of quality assurance on an international level. Suggestions for changes in these recommendations are presented. Finally the Norwegian Dental Age Estimation project in asylum seekers who claim to be below 18 years of Age is described.
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Short communication Dental Age Estimation, quality assurance and Age Estimation of asylum seekers in Norway
2006Co-Authors: Tore Solheim, Anne VonenAbstract:The historical development of Age Estimation and the different techniques are presented. Also it is important to separate individuals below 20 yearswheretoothdevelopmentcanbeusedandthoseabove20yearsofAgewhereregressivechangesmustbeusedandwherethevisualassessment may be more important. The recommendations for quality assurance from the International Organization for Forensic Odonto Stomatology (IOFOS) is discussed and also the problems of quality assurance on an international level. Suggestions for changes in these recommendations are presented. Finally the Norwegian Dental Age Estimation project in asylum seekers who claim to be below 18 years of Age is described. # 2006 Published by Elsevier Ireland Ltd.
Temitope A. Esan - One of the best experts on this subject based on the ideXlab platform.
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The Demirjian versus the Willems method for Dental Age Estimation in different populations: A meta-analysis of published studies.
PloS one, 2017Co-Authors: Temitope A. Esan, Veerasamy Yengopal, Lynne A. SchepartzAbstract:Background The accuracy of radiographic methods for Dental Age Estimation is important for biological growth research and forensic applications. Accuracy of the two most commonly used systems (Demirjian and Willems) has been evaluated with conflicting results. This study investigates the accuracies of these methods for Dental Age Estimation in different populations. Methods A search of PubMed, Scopus, Ovid, Database of Open Access Journals and Google Scholar was undertaken. Eligible studies published before December 28, 2016 were reviewed and analyzed. Meta-analysis was performed on 28 published articles using the Demirjian and/or Willems methods to estimate chronological Age in 14,109 children (6,581 males, 7,528 females) Age 3–18 years in studies using Demirjian’s method and 10,832 children (5,176 males, 5,656 females) Age 4–18 years in studies using Willems’ method. The weighted mean difference at 95% confidence interval was used to assess accuracies of the two methods in predicting the chronological Age. Results The Demirjian method significantly overestimated chronological Age (p
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the demirjian versus the willems method for Dental Age Estimation in different populations a meta analysis of published studies
PLOS ONE, 2017Co-Authors: Temitope A. Esan, Veerasamy Yengopal, Lynne A. SchepartzAbstract:Background The accuracy of radiographic methods for Dental Age Estimation is important for biological growth research and forensic applications. Accuracy of the two most commonly used systems (Demirjian and Willems) has been evaluated with conflicting results. This study investigates the accuracies of these methods for Dental Age Estimation in different populations. Methods A search of PubMed, Scopus, Ovid, Database of Open Access Journals and Google Scholar was undertaken. Eligible studies published before December 28, 2016 were reviewed and analyzed. Meta-analysis was performed on 28 published articles using the Demirjian and/or Willems methods to estimate chronological Age in 14,109 children (6,581 males, 7,528 females) Age 3–18 years in studies using Demirjian’s method and 10,832 children (5,176 males, 5,656 females) Age 4–18 years in studies using Willems’ method. The weighted mean difference at 95% confidence interval was used to assess accuracies of the two methods in predicting the chronological Age. Results The Demirjian method significantly overestimated chronological Age (p<0.05) in males Age 3–15 and females Age 4–16 when studies were pooled by Age cohorts and sex. The majority of studies using Willems’ method did not report significant overEstimation of Ages in either sex. Overall, Demirjian’s method significantly overestimated chronological Age compared to the Willems method (p<0.05). The weighted mean difference for the Demirjian method was 0.62 for males and 0.72 for females, while that of the Willems method was 0.26 for males and 0.29 for females. Conclusion The Willems method provides more accurate Estimation of chronological Age in different populations, while Demirjian’s method has a broad application in terms of determining maturity scores. However, accuracy of Demirjian Age Estimations is confounded by population variation when converting maturity scores to Dental Ages. For highest accuracy of Age Estimation, population-specific standards, rather than a universal standard or methods developed on other populations, need to be employed.
Lynne A. Schepartz - One of the best experts on this subject based on the ideXlab platform.
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The Demirjian versus the Willems method for Dental Age Estimation in different populations: A meta-analysis of published studies.
PloS one, 2017Co-Authors: Temitope A. Esan, Veerasamy Yengopal, Lynne A. SchepartzAbstract:Background The accuracy of radiographic methods for Dental Age Estimation is important for biological growth research and forensic applications. Accuracy of the two most commonly used systems (Demirjian and Willems) has been evaluated with conflicting results. This study investigates the accuracies of these methods for Dental Age Estimation in different populations. Methods A search of PubMed, Scopus, Ovid, Database of Open Access Journals and Google Scholar was undertaken. Eligible studies published before December 28, 2016 were reviewed and analyzed. Meta-analysis was performed on 28 published articles using the Demirjian and/or Willems methods to estimate chronological Age in 14,109 children (6,581 males, 7,528 females) Age 3–18 years in studies using Demirjian’s method and 10,832 children (5,176 males, 5,656 females) Age 4–18 years in studies using Willems’ method. The weighted mean difference at 95% confidence interval was used to assess accuracies of the two methods in predicting the chronological Age. Results The Demirjian method significantly overestimated chronological Age (p
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the demirjian versus the willems method for Dental Age Estimation in different populations a meta analysis of published studies
PLOS ONE, 2017Co-Authors: Temitope A. Esan, Veerasamy Yengopal, Lynne A. SchepartzAbstract:Background The accuracy of radiographic methods for Dental Age Estimation is important for biological growth research and forensic applications. Accuracy of the two most commonly used systems (Demirjian and Willems) has been evaluated with conflicting results. This study investigates the accuracies of these methods for Dental Age Estimation in different populations. Methods A search of PubMed, Scopus, Ovid, Database of Open Access Journals and Google Scholar was undertaken. Eligible studies published before December 28, 2016 were reviewed and analyzed. Meta-analysis was performed on 28 published articles using the Demirjian and/or Willems methods to estimate chronological Age in 14,109 children (6,581 males, 7,528 females) Age 3–18 years in studies using Demirjian’s method and 10,832 children (5,176 males, 5,656 females) Age 4–18 years in studies using Willems’ method. The weighted mean difference at 95% confidence interval was used to assess accuracies of the two methods in predicting the chronological Age. Results The Demirjian method significantly overestimated chronological Age (p<0.05) in males Age 3–15 and females Age 4–16 when studies were pooled by Age cohorts and sex. The majority of studies using Willems’ method did not report significant overEstimation of Ages in either sex. Overall, Demirjian’s method significantly overestimated chronological Age compared to the Willems method (p<0.05). The weighted mean difference for the Demirjian method was 0.62 for males and 0.72 for females, while that of the Willems method was 0.26 for males and 0.29 for females. Conclusion The Willems method provides more accurate Estimation of chronological Age in different populations, while Demirjian’s method has a broad application in terms of determining maturity scores. However, accuracy of Demirjian Age Estimations is confounded by population variation when converting maturity scores to Dental Ages. For highest accuracy of Age Estimation, population-specific standards, rather than a universal standard or methods developed on other populations, need to be employed.
Graham Roberts - One of the best experts on this subject based on the ideXlab platform.
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Expressing Uncertainty in Dental Age Estimation: A Comparison between Two Methods of Calculating the "AverAge" Standard Deviation.
Journal of forensic sciences, 2019Co-Authors: Victoria S. Lucas, Fraser Mcdonald, Manoharan Andiappan, Graham RobertsAbstract:The expression of uncertainty is defined by the standard deviation and is usually expressed in multiples of the standard deviation (±1sd, ±2sd, and ±3sd). The objective was to use weighting of the sd calculation by the number or count of subjects for each tooth development stAge. A comparison shows the difference between the range of uncertainty using the unweighted sd and the weighted sd. The range of uncertainty related to Dental Age Estimation is statistically significantly greater (p < 0.001) for the weighted sd compared to the unweighted sd. It is concluded that the number of subjects for each Tooth Development StAge in the Reference Data set should be included in the calculation for a single Dental Age Estimation using the Simple AverAge Method when presenting the uncertainty associated with the point estimate of the "mean" for Dental Age Estimation of a single subject of unknown Age.
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Dental Age Estimation in southern chinese population using panoramic radiographs validation of three population specific reference datasets
BMC Medical Imaging, 2018Co-Authors: Jayakumar Jayaraman, Graham Roberts, Hai Ming Wong, Nigel M KingAbstract:The accuracy of estimated Age should depend on the reference data sets (RDS) from which the maturity scores or Ages of Attainment (AoA) were obtained. This study aimed to test the accuracy of Age Estimation from three different population specific Dental reference datasets (RDS). Two hundred and sixty six Dental panoramic radiographs of subjects belonging to southern Chinese ethnicity were scored and Dental Age (DA) was estimated from three reference datasets: French-Canadian, United Kingdom (UK) Caucasian and southern Chinese. Statistical significance was set at p 0.05). The southern Chinese RDS estimated the Age of 80% of subjects within ±12 months range, and 90% of subjects within ±18 months range (p < 0.05) showing it to be more accurate than other datasets. It is concluded that population specific Reference Data Sets improve the accuracy of Dental Age Estimation.
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Dental Age Estimation of children and adolescents: Validation of the Maltese Reference Data Set
Journal of forensic and legal medicine, 2016Co-Authors: Hani Alsaffar, Victoria S. Lucas, Fraser Mcdonald, Graham Roberts, Waleed Elshehawi, Simon CamilleriAbstract:The purpose of this study was to validate a Reference Data Set, developed from the radiographic archives of the Dental Department, Mater Dei Hospital, Malta, for Dental Age Estimation of the Maltese population and to assess the accuracy of the method. Dental Panoramic Tomograms of 100 male and 100 females were selected. Tooth Development StAges were recorded for all 16 permanent teeth on the left and both third molars on the right. Summary and percentile data were calculated for each Tooth Development StAge and the Dental Age of each subject estimated using the unweighted averAge method. The distribution of the differences between the Dental and Chronological Age was analysed. There was no statistically significant difference between the means of the Dental and Chronological Ages and the mean differences were within acceptable limits. The conclusion was that the Dataset is valid for the Maltese population and the method used gives adequate accuracy.
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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.
Journal of forensic and legal medicine, 2016Co-Authors: Jayakumar Jayaraman, Hai Ming Wong, Nigel M King, Graham RobertsAbstract:Abstract Background Many 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 methods A 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. Results The 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). Conclusion The validated southern Chinese reference dataset based on Dental maturation accurately estimated the chronological Age.
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Age Estimation in the Living: Dental Age Estimation - Theory and Practice
Encyclopedia of Forensic and Legal Medicine, 2016Co-Authors: Graham Roberts, Victoria S. Lucas, Fraser McdonaldAbstract:Dental Age Estimation (DAE) is the most accurate method of estimating Age where a formal birth record is absent. Accurate DAE relies on a reference data set comprising Dental panoramic tomographs (DPT) that provide imAges of all the tooth morphology types. For each tooth development stAge (TDS) summary data are the count ( n -tds), the mean ( x ¯ -tds), and standard deviation (sd-tds). These data enable Normal distribution and Percentile summary data for each TDS. The DA for a single individual is calculated by taking the averAge of the TDS on the subject’s DPT. This is the surrogate for chronological Age.