Development of a biometric method to estimate age on hand radiographs

Remy, Floriane; Hossu, Gabriela; Cendre, Romain; Micard, Émilien; Mainard-Simard, L.; Felblinger, Jacques; Martrille, Laurent; Lalys, Loı̈c

doi:10.1016/j.forsciint.2016.12.013

Cited by 9 publications

(10 citation statements)

References 26 publications

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“…The accuracy of our MARS models is comparable to or better than other subadult age estimation methods applicable to individuals of the same age range and respecting the same sampling and methodological parameters as our study. The sizes of our 95% PIs remain better or at the very least comparable to those of other subadult age estimation methods . Most importantly, MARS models are adapted to age‐related changes in variability that follow similar patterns for various types of bone elements (long bones, flat bones, and irregular bones) .…”

Section: Discussionmentioning

confidence: 52%

Integrating Growth Variability of the Ilium, Fifth Lumbar Vertebra, and Clavicle with Multivariate Adaptive Regression Splines Models for Subadult Age Estimation

Corron

Marchal

Condémi

et al. 2018

Journal of Forensic Sciences

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Subadult age estimation should rely on sampling and statistical protocols capturing development variability for more accurate age estimates. In this perspective, measurements were taken on the fifth lumbar vertebrae and/or clavicles of 534 French males and females aged 0-19 years and the ilia of 244 males and females aged 0-12 years. These variables were fitted in nonparametric multivariate adaptive regression splines (MARS) models with 95% prediction intervals (PIs) of age. The models were tested on two independent samples from Marseille and the Luis Lopes reference collection from Lisbon. Models using ilium width and module, maximum clavicle length, and lateral vertebral body heights were more than 92% accurate. Precision was lower for postpubertal individuals. Integrating punctual nonlinearities of the relationship between age and the variables and dynamic prediction intervals incorporated the normal increase in interindividual growth variability (heteroscedasticity of variance) with age for more biologically accurate predictions.

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Section: Discussionmentioning

confidence: 52%

Integrating Growth Variability of the Ilium, Fifth Lumbar Vertebra, and Clavicle with Multivariate Adaptive Regression Splines Models for Subadult Age Estimation

Corron

Marchal

Condémi

et al. 2018

Journal of Forensic Sciences

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“…Indeed, in some judicial system, as in France, detention or custodial sentences are impossible below the age of 10 years old and there may be an increased punishment for adults exploiting a child under 6 years old to beg on public road. This division at the age of 13 years old was also justified by the evolution of the correlation between age and the hand bones biometric measurements observed in a precedent paper: this relation became less linear from the ages of 13-15 years as the inter-individual variability became more important [19]. This observation may be explained by the non-synchronous maturation observed from this age period [20,21].…”

Section: Materials and Methods A Materialsmentioning

confidence: 58%

“…Respectively For each individual, measurements were collected following the protocol previously developed [19] with the ORS ® (Object Research System) Visual ® software specializing in medical image processing, and the ''HandBones'' plug-in, also developed in the same previous publication [19]. Thus, the length (LG), the proximal width (PW) and the distal width (DW) were obtained for each metacarpal and proximal phalange (named, respectively, MCi and PHi, where i refers to the corresponding ray number) of the five hand rays: see Fig.…”

Section: Materials and Methods A Materialsmentioning

confidence: 99%

“…Since the relevance of the GPA and TW methods is debatable, current research in the field of age estimation aims to develop new methods based on a quantitative approach. We [19] recently proposed to estimate age through a biometric analysis of hand bones: in this previous study, age was estimated based on measurements of metacarpals and proximal phalanges. Four age-group-specific formulas were developed, defined by the relevant legal age thresholds applicable in France (0-13, 13-18, 18-21 and 0-21 years).…”

Section: Introductionmentioning

confidence: 99%

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Age estimation from the biometric information of hand bones: Development of new formulas

Remy

Saliba-Serre

Chaumoître³

et al. 2021

Forensic Science International

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“…Морфологические и остеометрические показатели кисти могут служить точными возрастными маркерами, это дает возможность их использования для составления возрастной шкалы данных о средних референсных значениях каждого возрастного периода, что позволяет проводить экспертизы, в том числе судебно-медицинские для реконструкции паспортного возраста [24]. Remi et al (2017) указывают, что для установления возраста индивидуума, перспективным является составление регрессионных моделей с использованием остеометрических показателей костей кисти [25].…”

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X-Ray Osteometry of Some Line Parameters of the Middle Phalanges of the Hand in Children and Adolescents in Term of Different Age and Ethnicity

Матюшечкин

Микрюкова

2021

MorphoLetter

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The aim of the study is a comparative analysis of the linear parameters of the length and width of the diaphysis of the middle phalanges in children and adolescents of Tajikistan and Western India, and also the possibility of using these linear parameters to establish the age of children of the compared ethnic groups. On 325 radiographs of the right hand in male children and adolescents of the Kanibadam region of the Republic of Tajikistan and the city of Mumbai (Western India) at the age of 6-17 years, the length of the middle phalanges and the width of their diaphysis were determined. To determine the relationship between the age of children of the compared ethnic groups and the linear parameters of the length and width of the shaft of the phalanges, Spearman's nonparametric correlation coefficient was used. Comparative assessment of the values of indicators by age was carried out by the method of parametric and non-parametric analysis. In boys of Tajikistan, the closest correlation was established between the age of children and the length of the middle phalanx of the third finger, while in their Indian peers this ratio was determined evenly for the II-IV fingers of the hand. The width of the diaphysis of the phalanges of the fourth finger increased most significantly with age in boys of Tajikistan, and in the Indians, the width of the third finger, the smallest increase in the width of the diaphysis in the compared groups was determined for the phalanges of the second finger. The linear parameters of the middle phalanges of the hand can be used to identify the age of children and adolescents in Tajikistan and Western India at the age of 6-17 years. For Tajik children, the best predictor of age is the linear parameter of the length of the middle phalanx of the index, and for their Indian peers, the length of the middle phalanx of the II-IV fingers is equally.

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Development of a biometric method to estimate age on hand radiographs

Cited by 9 publications

References 26 publications

Integrating Growth Variability of the Ilium, Fifth Lumbar Vertebra, and Clavicle with Multivariate Adaptive Regression Splines Models for Subadult Age Estimation

Integrating Growth Variability of the Ilium, Fifth Lumbar Vertebra, and Clavicle with Multivariate Adaptive Regression Splines Models for Subadult Age Estimation

Age estimation from the biometric information of hand bones: Development of new formulas

X-Ray Osteometry of Some Line Parameters of the Middle Phalanges of the Hand in Children and Adolescents in Term of Different Age and Ethnicity

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