A quantitative morphological analysis of three-dimensional CT coxal bone images of contemporary Japanese using homologous models for sex and age estimation

Biwasaka, Hitoshi; Aoki, Yasuhiro; Takahashi, Yusuke; Fukuta, Mamiko; Usui, Akihito; Hosokai, Yoshiyuki; Saito, Haruo; Funayama, Masato; Fujita, Sachiko; Takamiya, Masataka; Dewa, Koji

doi:10.1016/j.legalmed.2018.09.017

Cited by 12 publications

(10 citation statements)

References 29 publications

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Section: Introductionmentioning

confidence: 99%

“…Conversely, Biwasaka et al [ 8 ] observed that females expressed age-related deepening of the GSN in their analysis of pelvic morphology using a GMM approach. Similar to Biwasaka et al [ 8 ], Byram et al (2020) also attributed morphological changes in GSN width and height to age using elliptical Fourier analysis. To date, however, there is no research investigating the application of the Walker method relative to the potential interaction of age and sexual dimorphism in the morphology of the GSN.…”

Section: Introductionmentioning

confidence: 99%

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The influence of age on greater sciatic notch morphology: testing the Walker method in an Australian population

2023

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Sex estimation is an integral aspect of a forensic biological profile. The pelvis, being the most dimorphic part of the skeleton, has been studied in considerable detail relative to morphological and metric variation. However, empirical data on the effect of age on pelvic morphology relative to sex-specific morphological variation is limited, especially in regard to the estimation of skeletal sex. This study assesses whether there are age-related differences in the distribution of the Walker (2005) morphological scores for the greater sciatic notch (GSN) in an Australian population. Three-dimensional volumetric reconstructions derived from multi-detector computed tomography (MDCT) scans of 567 pelves of 258 females and 309 males aged 18 to 96 years were scored following Walker (2005). Differences in score distributions and means by sex and age group were tested using Pearson’s chi-squared test and ANOVA, respectively. The accuracy of sex estimates derived from logistic regression equations was explored using leave-one-out cross-validation. Significant differences were found in score distribution and means among age groups in females, but not in males. There was a tendency toward higher scores in older females. The overall sex estimation accuracy was 87.5%. When comparing age groups 18–49 and 70 + years, estimation accuracy decreased in females (99% vs. 91%), while the opposite was found for males (79% vs. 87%). These findings suggest that age affects GSN morphology. Higher mean scores in older females imply that, on average, the GSN becomes narrower with increasing age. It is thus recommended due consideration of estimated age when assessing sex based on the GSN in unidentified human remains.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The influence of age on greater sciatic notch morphology: testing the Walker method in an Australian population

2023

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“…Their great potential lies in freeing the evaluator from the subjective visual evaluation of degenerative age-related changes. The very rst attempts to replace experience-based visual approaches with the use of geometric morphometry and other advanced mathematical approaches to quantify age-related surface changes date back to the 2010s [21][22][23][24][25][26] . Attention has been paid mainly to the pubic symphyseal surface or the auricular surface.…”

Section: Introductionmentioning

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

Preprint

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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 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 and are able to estimate the age using the pubic symphysis across the entire adult age range.

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“…Thus, they provide repeatable results, which is not guaranteed if a given sample is evaluated by a human. The very first attempts to replace experience-based visual approaches with the use of geometric morphometrics and other advanced mathematical approaches to quantify age-related surface changes date back to the 2010s 21 – 26 . Attention has been paid mainly to the pubic symphyseal surface 22 , 23 , 25 or the auricular surface 26 .…”

Section: Introductionmentioning

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

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

A quantitative morphological analysis of three-dimensional CT coxal bone images of contemporary Japanese using homologous models for sex and age estimation

Cited by 12 publications

References 29 publications

The influence of age on greater sciatic notch morphology: testing the Walker method in an Australian population

The influence of age on greater sciatic notch morphology: testing the Walker method in an Australian population

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

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