Forensic age estimation of 85 male child laborers and 31 rescued female commercial sex workers from Hyderabad in South India

Balla, Sudheer B.; Bontala, Parinita; Galić, Ivan; G, Lakshmi Shravani; P, Sri Lakshmi Manasa; Kondapaneni, Jayasurya; Sudha, R

doi:10.1016/j.legalmed.2019.07.003

Cited by 4 publications

(2 citation statements)

References 15 publications

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“…Although various age assessment methods have given high degrees of reliability, ethnic differences between various population groups were found to affect the accuracy. Various studies for assessing the DA, SA, and their correlation have ben predominantly conducted in the western population with exception of a few (Santoro et al 2012, Garamendi et al 2005, Pinchi et al 2016, Balla et al 2019. A similar assessment has been lacking for Indian children and adolescents particularly in the field of sports.…”

Section: Discussionmentioning

confidence: 99%

Correlation of skeletal age by Greulich-Pyle atlas, physiological age by body development index, and dental age by London Atlas and modified Demirjian’s technique in children and adolescents of an Eastern Indian population

Behera,

Rath,

Das

et al. 2023

Egypt J Forensic Sci

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Background Forensic age estimation using multiple maturity indicators necessitates investigation of correlation between various techniques. This study intended to compare and evaluate the correlation between skeletal age using Greulich-Pyle atlas, dental age by Acharya’s modification of Demirjian’s technique and London Atlas method of Tooth Development, and age estimated by body developmental index with chronological age. Orthopantomograms and left hand-wrist radiographs of one hundred seventy-four subjects (64 males and 70 females) in the age group of 8–20 years were evaluated by age estimation methods. Physical parameters including height, weight, biacromial breadth, and biliospinale breadth were measured. The data were entered in the SPSS software (Version 27.0). Comparison between age estimation methods was done using Student’s t-test for paired samples. Unpaired t-test was utilized for gender-wise comparison of age. Pearson’s correlation coefficient was calculated to assess correlation between the various methods. Results Significant mean differences were noted between the chronological age and all the age estimation methods when Greulich-Pyle atlas method (− 0.43), modified Demirjian’s method (− 0.31), London Atlas Method (− 0.62), and body developmental index (− 0.51) were employed respectively. Inter-group comparison between all methods yielded no significant differences except for modified Demirjian’s method and London Atlas method (mean difference = 0.31). All the age estimation techniques showed strong correlation with chronological age; the best was provided by the Greulich-Pyle method (r = 0.92). Conclusion All the assessed age estimation techniques show strong correlation with chronological age. Acharya’s modified Demirjian’s method (dental age) and Greulich-Pyle atlas method (skeletal age) showed good accuracy and strong correlation with chronological age, suggesting that these methods can be used simultaneously and/or interchangeably for age assessment in children and adolescents of Eastern Indian population.

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Section: Discussionmentioning

confidence: 99%

Correlation of skeletal age by Greulich-Pyle atlas, physiological age by body development index, and dental age by London Atlas and modified Demirjian’s technique in children and adolescents of an Eastern Indian population

Behera,

Rath,

Das

et al. 2023

Egypt J Forensic Sci

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show abstract

“…1 Age estimation in children, sub-adults, and young adults is of paramount significance in cases encompassing various aspects of criminal, civil, and immigration laws. 2–4 Investigations pertain to, but are not limited to, the field of sports medicine, 5 medico-legal cases of paedopornography, 6 child trafficking, 7 child marriage, 8 illegal immigration, 9 and assigning criminal responsibility 9–11 all warrant accurate age estimation within these age cohorts. The German Study Group on Forensic Age Diagnostics (AFGAD) advocates relying on the combination of physical examination, scrutiny of dentition status, and X-ray examination of hand and wrist bones for accurate age estimation in criminal proceedings.…”

Section: Introductionmentioning

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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Validation of the Italian, European, North German, Malaysian, and South African black formulas on Cameriere method using panoramic radiographs in Kenyan children

et al. 2022

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Forensic age estimation of 85 male child laborers and 31 rescued female commercial sex workers from Hyderabad in South India

Cited by 4 publications

References 15 publications

Correlation of skeletal age by Greulich-Pyle atlas, physiological age by body development index, and dental age by London Atlas and modified Demirjian’s technique in children and adolescents of an Eastern Indian population

Correlation of skeletal age by Greulich-Pyle atlas, physiological age by body development index, and dental age by London Atlas and modified Demirjian’s technique in children and adolescents of an Eastern Indian population

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

Validation of the Italian, European, North German, Malaysian, and South African black formulas on Cameriere method using panoramic radiographs in Kenyan children

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