Testing Reliability of the Computational Age‐At‐Death Estimation Methods between Five Observers Using Three‐Dimensional Image Data of the Pubic Symphysis,

Kim, Jieun; Algee‐Hewitt, Bridget F. B.; Stoyanova, Detelina; Figueroa-Soto, Cristina; Slice, Dennis E.

doi:10.1111/1556-4029.13842

Cited by 14 publications

(4 citation statements)

References 47 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As there are no clear descriptive instructions in the original study 24 , 25 for the isolation of the symphyseal surface, Joubert et al 28 proposed a standardized protocol for this manual step. The authors of the Stoyanova method, however, confirmed strong repeatability and reproducibility among researchers during the isolation process 28 , 63 .…”

Section: Discussion and Perspectivesmentioning

confidence: 82%

“…The results of the present study, as well as some other computational studies, show that fully quantitative approaches that analyze three-dimensional surface data may be the right solution. They may considerably reduce or eliminate the subjectivity of the traditional gross morphological assessment, which is commonly associated with visual evaluation, and also reduce the requirements for the evaluator's experience 26 , 31 , 49 , 50 , 63 . They may also solve the low degree of standardization across application and practitioners 50 .…”

Section: Discussion and Perspectivesmentioning

confidence: 99%

See 1 more Smart Citation

The computational age‐at‐death estimation from 3D surface models of the adult pubic symphysis using data mining methods

Kotěrová

Stepanovsky

Buk

et al. 2022

Sci Rep

View full text Add to dashboard Cite

Age-at-death estimation of adult skeletal remains is a key part of biological profile estimation, yet it remains problematic for several reasons. One of them may be the subjective nature of the evaluation of age-related changes, or the fact that the human eye is unable to detect all the relevant surface changes. We have several aims: (1) to validate already existing computer models for age estimation; (2) to propose our own expert system based on computational approaches to eliminate the factor of subjectivity and to use the full potential of surface changes on an articulation area; and (3) to determine what age range the pubic symphysis is useful for age estimation. A sample of 483 3D representations of the pubic symphyseal surfaces from the ossa coxae of adult individuals coming from four European (two from Portugal, one from Switzerland and Greece) and one Asian (Thailand) identified skeletal collections was used. A validation of published algorithms showed very high error in our dataset—the Mean Absolute Error (MAE) ranged from 16.2 and 25.1 years. Two completely new approaches were proposed in this paper: SASS (Simple Automated Symphyseal Surface-based) and AANNESS (Advanced Automated Neural Network-grounded Extended Symphyseal Surface-based), whose MAE values are 11.7 and 10.6 years, respectively. Lastly, it was demonstrated that our models could estimate the age-at-death using the pubic symphysis over the entire adult age range. The proposed models offer objective age estimates with low estimation error (compared to traditional visual methods) and are able to estimate age using the pubic symphysis across the entire adult age range.

show abstract

Section: Discussion and Perspectivesmentioning

confidence: 82%

Section: Discussion and Perspectivesmentioning

confidence: 99%

The computational age‐at‐death estimation from 3D surface models of the adult pubic symphysis using data mining methods

Kotěrová

Stepanovsky

Buk

et al. 2022

Sci Rep

View full text Add to dashboard Cite

show abstract

“…The forAge software is one of the few age estimation approaches using mathematical quantification of bone surface that has been published so far. Repeatability of the method was tested with excellent results [60] and its use is suitable for individuals under 40 years of age [61].…”

Section: Scanning -Problem Of Compatibilitymentioning

confidence: 99%

Impact of 3D surface scanning protocols on the Os coxae digital data: Implications for sex and age-at-death assessment

Kotěrová

Králík

Rmoutilová

et al. 2019

Journal of Forensic and Legal Medicine

View full text Add to dashboard Cite

The 3D imaging technologies became of paramount importance for example in disciplines such as forensic anthropology and bioarchaeology where they are being used more and more frequently.There is a number of new possibilities that they offer, for instance an easier and faster sharing of data among institutions, a possibility of permanent documentation, or new opportunities of data analysis. An important requirement, however, is whether the data obtained from different scanning devices are comparable and whether the possible varying outputs could affect further analyses, such as estimation of the biological profile. Therefore, we aimed to investigate two important questions:(1) whether 3D models acquired by two different scanning technologies (structured light and laser) are comparable and (2) whether the scanning equipment has an effect on the anthropological analyses, such as age-at-death estimation and sex assessment.3D models of ossa coxa (n=29) were acquired by laser (NextEngine) and structured light (HP 3D Structured Light Scanner PRO 2) scanners. Resulting 3D models from both scanners were subjected to age-at-death analyses (via quantitative method of Stoyanova et al., 2017) and sex analyses (via Diagnose Sexuelle Probabiliste 2 of Brůžek et al., 2017). Furthermore, high quality scans of small sample (n=5) of pubic symphyseal surface with RedLux Profiler device were acquired as reference surfaces to which the outputs from both scanners were compared. Small deviations between surfaces were more evident in more rugged surfaces (in areas of depression and protrusion). Even though small differences from the reference surfaces were found they did not have significant effect on age and sex estimates. It never resulted in opposite sex assignment and no significant differences were observed between age estimates (with the exception of TPS/BE model).

show abstract

“…21 However, in the years that followed, investigations undertaken with the Suchey–Brooks method using different population groups demonstrated varying applicability. 9,22–72 Moreover, despite being one of the most commonly utilized age estimation methods, investigations evaluating the forensic suitability of the Suchey–Brooks method for ageing an Indian population are currently limited. 73…”

Section: Introductionmentioning

confidence: 99%

Applicability of the Suchey–Brooks method for age estimation in an Indian population: A computed tomography-based exploration using Bayesian analysis and machine learning

et al. 2023

View full text Add to dashboard Cite

Age estimation occupies a prominent niche in the identification process. In cases where skeletal remains present for examination, age is often estimated from markers distributed throughout the skeletal framework. Within the pelvis, the pubic symphysis constitutes one of the more commonly utilized skeletal markers for age estimation, with the Suchey–Brooks method comprising one of the more commonly employed methods for pubic symphyseal age estimation. The present study was targeted towards assessing the applicability of the Suchey–Brooks method for pubic symphyseal age estimation, an aspect largely unreported for an Indian population. In order to do so, clinically undertaken pelvic computed tomography scans of individuals were evaluated using the Suchey–Brooks method, and the error associated with the method was established using Bayesian analysis and different machine learning regression models. Amongst different supervised machine learning models, support vector regression and random forest furnished lowest error computations in both sexes. Using both Bayesian analysis and machine learning, lower error computations were observed in females, suggesting that the method demonstrates greater applicability for this sex. Inaccuracy and root mean square error obtained with Bayesian analysis and machine learning illustrates that both statistical modalities furnish comparable error computations for pubic symphyseal age estimation using the Suchey–Brooks method. However, given the numerous advantages associated with machine learning, it is recommended to use the same within medicolegal settings. Error computations obtained with the Suchey–Brooks method, regardless of the statistical modality utilized, indicate that the method should be used in amalgamation with additional markers to garner accurate estimates of age.

show abstract

Testing Reliability of the Computational Age‐At‐Death Estimation Methods between Five Observers Using Three‐Dimensional Image Data of the Pubic Symphysis,

Cited by 14 publications

References 47 publications

The computational age‐at‐death estimation from 3D surface models of the adult pubic symphysis using data mining methods

The computational age‐at‐death estimation from 3D surface models of the adult pubic symphysis using data mining methods

Impact of 3D surface scanning protocols on the Os coxae digital data: Implications for sex and age-at-death assessment

Applicability of the Suchey–Brooks method for age estimation in an Indian population: A computed tomography-based exploration using Bayesian analysis and machine learning

Contact Info

Product

Resources

About