Age estimation approaches using cranial suture closure: A validation study on a Thai population

Ruengdit, Sittiporn; Prasitwattanaseree, Sukon; Mekjaidee, Karnda; Sinthubua, Apichat; Mahakkanukrauh, Pasuk

doi:10.1016/j.jflm.2017.11.009

Cited by 26 publications

(18 citation statements)

References 27 publications

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“…This has been described as age mimicry, a phenomenon in which the age distribution of the target population mirrors the distribution of the reference population (Bocquet‐Appel & Masset, , Boldsen et al, :75, Buckberry, ). Age mimicry limits the applicability of age estimation methods on samples different in age composition from the reference population (e.g., Herrera & Retamal, ; Michopoulou, Negre, Nikita, & Kranioti, ; Ruengdit, Prasitwattanaseree, Mekjaidee, Sinthubua, & Mahakkanukrauh, ; Savall et al, ; Schmitt, ; Xanthopoulou et al, ), although some studies have shown that age mimicry does not always have a significant impact of the age distribution of skeletal samples (e.g., Moraitis, Zorba, Eliopoulous, & Fox, ; Sakaue, ).…”

Section: Introductionmentioning

confidence: 99%

Aging methods and age‐at‐death distributions: Does transition analysis call for a re‐examination of bioarchaeological data?

Clark

Simon

Hübbe

2019

Intl J of Osteoarchaeology

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Age estimation of adult skeletal remains is notoriously difficult because the degenerative change of adult skeletons is far more variable across individuals, populations, and anatomical regions than the developmental changes that occur during growth. Additionally, age mimicry makes it difficult to discern between the true population age structure and the age structure produced as an artifact of the reference sample. Transition analysis is an age estimation method that was developed to improve the accuracy of age estimation, especially in older adults, by applying a stricter statistical framework based on multiple osteological age markers. Despite its availability since 2002, bioarchaeologists continue to rely heavily on traditional aging methods. However, since transition analysis has begun to gain popularity, it is necessary to identify how the choice of age estimation method affects interpretations about life in the past, especially when samples aged through transition analysis are compared to samples aged with traditional methods. This study evaluates the effect of aging methods on age‐at‐death distributions in a sample from the Late Archaic and Prehistoric periods in Northeast Ohio. Ninety‐three skeletons were aged using both traditional aging methods and transition analysis, and the results from both methods were compared. The two aging methods produced vastly different age‐at‐death distributions and significantly different survival curves. This study shows that bioarchaeologists should be wary of taking pre‐existing data at face value and should consider interpreting data using both traditional aging methods and transition analysis until the accuracy of transition analysis is more clearly established.

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Section: Introductionmentioning

confidence: 99%

Aging methods and age‐at‐death distributions: Does transition analysis call for a re‐examination of bioarchaeological data?

Clark

Simon

Hübbe

2019

Intl J of Osteoarchaeology

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“…The other bone which is widely acknowledged as being a useful tool for age estimation is the skull. However, a study of suture closures in a Thai population by Ruengdit et al (2018), using the methods of Meindl and Lovejoy (1985), Acsádi andNemeskéri (1970), andMann (1991), revealed poor effectiveness as regards age estimation with endocranial suture. Only obliteration of the median palatine suture, using the Mann method (1991), could be used for prediction of the age of individuals over-50-years of age (Ruengdit et al, 2018).…”

Section: Discussionmentioning

confidence: 99%

“…Of the 4 items, age estimation is the most complicated (Introna and Campobasso, 2006;Cattaneo et al, 2008;Vodanović et al, 2011;Priya, 2017). Bones, including pelvis, skulls, clavicles, and vertebrae, have been proved to be useful for age estimation (Mulhern and Jones, 2005;Watanabe and Terazawa, 2006;Albert, et al, 2010;Martins, et al, 2012;Pattamapaspong, et al, 2015;Ruengdit, et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Age Related Lumbar Trabecular Bone in a Thai Population

Sattarath

Wantanajittikul

Prasitwattanaseree

et al. 2021

CMUJNS

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Within spinal column, the lumbar vertebrae are the most durable and usually left behind in severely burnt body. European studies have reported that these vertebrae are useful for age estimation. However, it is widely acknowledged that different ancestry necessitates different methods and includes a range of variables, therefore a study specific to Thai population is needed for accuracy in the identification of Thai individuals. To investigate the correlation between lumbar vertebrae, and age of the individual, L1-L5 drilled out from 75 Thai cadavers. After undergoing histological processing each slide was photographed. The images were processed using an image processing technique to calculate the percentage of trabecular bone area over total area (%TBA/TA). Using the Statistical Package for the Social Sciences (SPSS) program, %TBA/TA of L1-L5 was calculated. The %TBA/TA of L1-L5 showed a negative correlation to age in both male and female groups. The %TBA/TA of L2 in the male group decreased most significantly with increase in age (r=-0.775) whereas in the female group, L3 showed the strongest negative correlation with age (r=-0.75. In the conclusion, it was found that trabecular bone of L2 showed the most significant correlation to increase in age in males whereas L3 showed the strongest correlation in females. Keywords: Age, Image segmentation, Lumbar, Thai population, Trabecular bone

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“…In past studies of cranial sutures, the inaccuracy of age estimation was 21.2 years in male Thai samples using the Meindl and Lovejoy () method and 13.3 years using the Acsádi and Nemeskéri () method (Ruengdit, Prasitwattanaseree, Mekjaidee, Sinthubua, & Mahakkanukrauh, ). An inaccuracy of 17.73/18.11 years was observed on the left/right vault sutures, respectively, using the Meindl and Lovejoy method in male Athenians (Xanthopoulou, Valakos, Youlatos, & Nikita, ).…”

Section: Discussionmentioning

confidence: 99%

Age estimation by multidetector computed tomography of cranial sutures in Chinese male adults

Fan

et al. 2019

American J Phys Anthropol

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Objectives: This study aimed to explore whether computed tomography (CT) images of cranial sutures can contribute to adult age estimation in Chinese Han individuals. Materials and methods: This study was based on cranial CT scans of 230 ChineseHan males aged 23.33-76.93 years. A total of 160 images from 16 suture segments were scored after volume reformation and multiplanar reconstruction in each individual. Decision tree regression, linear support vector regression, Bayesian ridge regression, and gradient boosting regression were developed for adult age estimation by a training set using leave-one-out cross-validation and further evaluated by the test set. The inaccuracy and bias were calculated to evaluate the four models and the previously used models from the literature. Results:The degree of suture closure was associated with adult age. The minimum inaccuracy of the test set was 7.73 years obtained by linear support vector regression, while the inaccuracy of previous simple linear regression models was 13.09 and 10.97 years. The accuracy was higher in the age group from 40.00 to 59.99 years compared to the other age groups.Discussion: The accuracy of our models for adult age estimation was superior to those in previous studies based on cranial sutures. Hence, the application of novel statistical data mining tools helps to improve aging issues. Nevertheless, age estimation of adults should be combined with other methods, since the accuracy level is still not satisfactory. K E Y W O R D Scranial sutures, data mining, forensic anthropology, multidetector computed tomography, skeletal age determination

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Age estimation approaches using cranial suture closure: A validation study on a Thai population

Cited by 26 publications

References 27 publications

Aging methods and age‐at‐death distributions: Does transition analysis call for a re‐examination of bioarchaeological data?

Aging methods and age‐at‐death distributions: Does transition analysis call for a re‐examination of bioarchaeological data?

Age Related Lumbar Trabecular Bone in a Thai Population

Age estimation by multidetector computed tomography of cranial sutures in Chinese male adults

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