CT-based evaluation of the acetabulum for age estimation in an Indian population

Warrier, Varsha; Kanchan, Tanuj; Garg, Pawan Kumar; Dixit, Shilpi Gupta; Krishan, Kewal; Shedge, Rutwik

doi:10.1007/s00414-021-02757-y

Cited by 9 publications

(5 citation statements)

References 47 publications

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“…As interesting it is, the detailed acetabular aging traits reported by Rissech et al [ 15 ] and San-Millán et al [ 34 ] hardly will be able to be assessed by computed tomography in its whole, making the dry bones and the skeletal collections irreplaceable. However, and despite these difficulties, using regression models based on Calce’s method [ 32 ] and some variables from SanMillán-Rissech’s method [ 34 ], mean absolute errors of 9.20 and 9.15 years, respectively, were reported using 250 and 400 Indian CTs, respectively [ 63 , 64 ]. In addition, a complementary summary age model generated based on PCA procedures get a mean absolute error of 7.06 years, similar to the original results from San-Millán et al [ 34 ].…”

Section: Discussionmentioning

confidence: 99%

Inter-population differences in acetabular senescence: relevance in age-at-death estimation

San-Millán

Rissech

2023

Int J Legal Med

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Since investigation of the timing of the skeletal traits among the acetabula of different populations is lacking, this study aims to evaluate the relevance of geographical origin in the acetabulum aging process and in the usability of the SanMillán-Rissech aging method. The acetabula of 826 European North Americans derived from the Bass Collection (USA) have been analyzed and compared with 611 Portuguese acetabula from the Luis Lopes Collection (Portugal) applying the most updated acetabular age estimation technique (2017). After evaluating and comparing the acetabular aging rates between both populations by Mann–Whitney U tests, the inaccuracy values (bias and absolute error) were analyzed and compared using population-specific reference samples and using references differing in geographical origin by Wilcoxon tests. In general terms, the North Americans age faster than the Portuguese, especially the females, reaching the consecutive acetabular stages at younger ages. Regarding the SanMillán-Rissech method accuracy, using population-specific reference samples produces, as a general rule, better outcomes. In addition, an exhaustive meta-analysis of inaccuracy values has demonstrated that this method provides better estimation values than pubic symphysis and auricular surfaces regardless of the geographic coherence of the reference sample. These inter-population skeletal differences are derived from different factors than age, highlighting the impact of both biological and social background on age estimation. A thorough analysis of the skeletal age-based timing becomes essential to understanding, deciphering and being able to minimize bias and potential inaccuracy or even counteract them when applying the age estimation methods to different populations.

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Section: Discussionmentioning

confidence: 99%

Inter-population differences in acetabular senescence: relevance in age-at-death estimation

San-Millán

Rissech

2023

Int J Legal Med

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“…Previously undertaken CT-based investigations validate these advantages of computed tomography for age estimation. 2,26,35,37,52,64,69,[84][85][86] Comparative evaluations between computed tomography and plain radiography for iliac crest age estimation, too, have demonstrated that the overall repeatability and accuracy associated with CT supersedes that of X-ray examination. 52,64 Inter-and intra-observer error values computed within the present study demonstrate moderate to strong agreement between and within observers for CT-based iliac crest age estimation.…”

Section: Discussionmentioning

confidence: 99%

“…Regression models have often been utilized in the past for age estimation using the mandible, 89 molars, [90][91][92][93] premolars, 94 knee, 95 hand bones, 96 clavicle 97 and sternum. 98 Previously undertaken regression-based analyses with the acetabulum yielded reduced error rates in comparison with the use of descriptive statistics for age estimation, 84,85 illustrating the advantages of this statistical modality in medico-legal investigations. Zhang et al, 68 in a pilot study, assessed the performance of different regression models for iliac crest age estimation using the modified Kreitner-Kellinghaus stages and reported that cubic regression generates the best-fit models.…”

Section: Discussionmentioning

confidence: 99%

Machine learning and regression analysis for age estimation from the iliac crest based on computed tomographic explorations in an Indian population

Warrier,

Shedge,

Garg

et al. 2023

Med Sci Law

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Age estimation constitutes an integral parameter of identification. In children, sub-adults, and young adults, accurate age estimation is vital on various aspects of civil, criminal, and immigration law. The iliac crest presents as a suitable age marker within these age cohorts, and the modified Risser method constitutes a relatively novel and unexplored method for iliac crest age estimation. The present study attempted to ascertain the applicability of this modified method for age estimation in the Indian population, an aspect previously unexplored, through computed tomographic examination of the iliac crest. Computed tomography scans of consenting individuals undergoing routine examinations of the pelvis/ abdomen for various clinically indicated reasons were collected and scored using the modified Risser stages. Computed tomographic examinations of the iliac crest indicate that the recalibrated method accurately depicts the temporal progression of ossification and fusion changes. Different regression and machine learning models were subsequently derived and/or trained to evaluate the accuracy and precision associated with the method. Amongst the ten regression models derived herein, compound regression exhibited the lowest inaccuracy (4.78 years) and root mean squared error values (5.46 years). Machine learning yielded further reduced error rates, with decision tree regression achieving inaccuracy and root mean squared error values of 1.88 years and 2.28 years, respectively. A comparative evaluation of error computations obtained from regression analysis and machine learning illustrates the statistical superiority of machine learning for forensic age estimation. Error computations obtained with machine learning suggest that the modified Risser method is capable of permitting reliable age estimation within criminal and civil proceedings.

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“…After 2015, in yellow also, the co-occurrence of terms is biased towards the applicability of technological development, and newer statistical approaches to aging research. These are exemplified by terms such as 'Transition analysis', 'Tomography', 'Tomography image', 'CT scan', 'Cone beam', 'Pulp', Pulp volume' [41,[67][68][69]. In 2017, the number of international collaborations increased, as evidenced by the emergence of partnerships with Egypt, Malaysia, Chile, Saudi Arabia, Romania, Argentina, Greece, Cyprus, Tunisia, Guatemala, Thailand, Mexico, and Colombia (Figure 3).…”

Section: Words/terms Content Analysismentioning

confidence: 99%

Exploring Adult Age-at-Death Research in Anthropology: Bibliometric Mapping and Content Analysis

Campanacho

Cardoso

2023

Forensic Sciences

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Although there are known limited skeletal traits that can be used to estimate age-at-death, an increasing body of literature is addressing this topic. This is particularly true in journals dedicated to forensic anthropology and past population studies. Research has focused mostly on methodological developments, aiming to update and validate age-at-death methods’ accuracy, with recurrent formulation, reformulation, testing, and re-testing of classical methodological approaches in multiple populational datasets and using novel statistical approaches. This paper explores aging research in adults published over the last century, aiming to portray major research agendas and highlight main institutions and co-authorship networks. A comprehensive dataset of bibliometric data from 1225 publications on age-at-death estimation, published between 1890 and October 2022, was used in the analysis. Major results showed that since the 1990s there has been continuous growth in aging research, predominantly by institutions in the United States. However, in the last 2 decades, research contributions from institutions with a wider geographical location were observed. Moreover, the research terms associated with aging are not limited to bone changes. Rather, dental-related changes are major contributors to aging research. Temporal trends suggested changes in research agendas related to terms and institutional co-authorships which may bring more inclusive and accurate-related method developments.

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CT-based evaluation of the acetabulum for age estimation in an Indian population

Cited by 9 publications

References 47 publications

Inter-population differences in acetabular senescence: relevance in age-at-death estimation

Inter-population differences in acetabular senescence: relevance in age-at-death estimation

Machine learning and regression analysis for age estimation from the iliac crest based on computed tomographic explorations in an Indian population

Exploring Adult Age-at-Death Research in Anthropology: Bibliometric Mapping and Content Analysis

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