Accuracy of MRI skeletal age estimation for subjects 12–19. Potential use for subjects of unknown age
Introduction In forensic practice, there is a growing need for accurate methods of age estimation, especially in the cases of young individuals of unknown age. Age can be estimated through somatic features that are universally considered associated with chronological age. Unfortunately, these featur...
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Published in | International journal of legal medicine Vol. 129; no. 3; pp. 609 - 617 |
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Main Authors | , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Berlin/Heidelberg
Springer Berlin Heidelberg
01.05.2015
Springer Nature B.V |
Subjects | |
Online Access | Get full text |
ISSN | 0937-9827 1437-1596 1437-1596 |
DOI | 10.1007/s00414-015-1161-y |
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Abstract | Introduction
In forensic practice, there is a growing need for accurate methods of age estimation, especially in the cases of young individuals of unknown age. Age can be estimated through somatic features that are universally considered associated with chronological age. Unfortunately, these features do not always coincide with the real chronological age: for these reasons that age determination is often very difficult. Our aim is to evaluate accuracy of skeletal age estimation using Tomei’s MRI method in subjects between 12 and 19 years old for forensic purposes.
Material and methods
Two investigators analyzed MRI images of the left hand and wrist of 77 male and 74 female caucasian subjects, without chronic diseases or developmental disorders, whose age ranged from 12 to 19 years. Skeletal maturation was determined by two operators, who analyzed all MRI images separately, in blinded fashion to the chronological age. Inter-rater agreement was measured with Pearson (
R
2
) coefficient. One of the examiners repeated the evaluation after 6 months, and intraobserver variation was analyzed. Bland–Altman plots were used to determine mean differences between skeletal and chronological age.
Results
Inter-rater agreement Pearson coefficient showed a good linear correlation, respectively, 0.98 and 0.97 in males and females. Bland–Altman analysis demonstrated that the differences between chronological and skeletal age are not significant. Spearman’s correlation coefficient showed good correlation between skeletal and chronological age both in females (
R
2
= 0.96) and in males (
R
2
= 0.94).
Conclusions
Our results show that MRI skeletal age is a reproducible method and has good correlation with chronological age. |
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AbstractList | In forensic practice, there is a growing need for accurate methods of age estimation, especially in the cases of young individuals of unknown age. Age can be estimated through somatic features that are universally considered associated with chronological age. Unfortunately, these features do not always coincide with the real chronological age: for these reasons that age determination is often very difficult. Our aim is to evaluate accuracy of skeletal age estimation using Tomei's MRI method in subjects between 12 and 19 years old for forensic purposes.INTRODUCTIONIn forensic practice, there is a growing need for accurate methods of age estimation, especially in the cases of young individuals of unknown age. Age can be estimated through somatic features that are universally considered associated with chronological age. Unfortunately, these features do not always coincide with the real chronological age: for these reasons that age determination is often very difficult. Our aim is to evaluate accuracy of skeletal age estimation using Tomei's MRI method in subjects between 12 and 19 years old for forensic purposes.Two investigators analyzed MRI images of the left hand and wrist of 77 male and 74 female caucasian subjects, without chronic diseases or developmental disorders, whose age ranged from 12 to 19 years. Skeletal maturation was determined by two operators, who analyzed all MRI images separately, in blinded fashion to the chronological age. Inter-rater agreement was measured with Pearson (R (2)) coefficient. One of the examiners repeated the evaluation after 6 months, and intraobserver variation was analyzed. Bland-Altman plots were used to determine mean differences between skeletal and chronological age.MATERIAL AND METHODSTwo investigators analyzed MRI images of the left hand and wrist of 77 male and 74 female caucasian subjects, without chronic diseases or developmental disorders, whose age ranged from 12 to 19 years. Skeletal maturation was determined by two operators, who analyzed all MRI images separately, in blinded fashion to the chronological age. Inter-rater agreement was measured with Pearson (R (2)) coefficient. One of the examiners repeated the evaluation after 6 months, and intraobserver variation was analyzed. Bland-Altman plots were used to determine mean differences between skeletal and chronological age.Inter-rater agreement Pearson coefficient showed a good linear correlation, respectively, 0.98 and 0.97 in males and females. Bland-Altman analysis demonstrated that the differences between chronological and skeletal age are not significant. Spearman's correlation coefficient showed good correlation between skeletal and chronological age both in females (R (2) = 0.96) and in males (R (2) = 0.94).RESULTSInter-rater agreement Pearson coefficient showed a good linear correlation, respectively, 0.98 and 0.97 in males and females. Bland-Altman analysis demonstrated that the differences between chronological and skeletal age are not significant. Spearman's correlation coefficient showed good correlation between skeletal and chronological age both in females (R (2) = 0.96) and in males (R (2) = 0.94).Our results show that MRI skeletal age is a reproducible method and has good correlation with chronological age.CONCLUSIONSOur results show that MRI skeletal age is a reproducible method and has good correlation with chronological age. Introduction In forensic practice, there is a growing need for accurate methods of age estimation, especially in the cases of young individuals of unknown age. Age can be estimated through somatic features that are universally considered associated with chronological age. Unfortunately, these features do not always coincide with the real chronological age: for these reasons that age determination is often very difficult. Our aim is to evaluate accuracy of skeletal age estimation using Tomei’s MRI method in subjects between 12 and 19 years old for forensic purposes. Material and methods Two investigators analyzed MRI images of the left hand and wrist of 77 male and 74 female caucasian subjects, without chronic diseases or developmental disorders, whose age ranged from 12 to 19 years. Skeletal maturation was determined by two operators, who analyzed all MRI images separately, in blinded fashion to the chronological age. Inter-rater agreement was measured with Pearson ( R 2 ) coefficient. One of the examiners repeated the evaluation after 6 months, and intraobserver variation was analyzed. Bland–Altman plots were used to determine mean differences between skeletal and chronological age. Results Inter-rater agreement Pearson coefficient showed a good linear correlation, respectively, 0.98 and 0.97 in males and females. Bland–Altman analysis demonstrated that the differences between chronological and skeletal age are not significant. Spearman’s correlation coefficient showed good correlation between skeletal and chronological age both in females ( R 2 = 0.96) and in males ( R 2 = 0.94). Conclusions Our results show that MRI skeletal age is a reproducible method and has good correlation with chronological age. In forensic practice, there is a growing need for accurate methods of age estimation, especially in the cases of young individuals of unknown age. Age can be estimated through somatic features that are universally considered associated with chronological age. Unfortunately, these features do not always coincide with the real chronological age: for these reasons that age determination is often very difficult. Our aim is to evaluate accuracy of skeletal age estimation using Tomei's MRI method in subjects between 12 and 19 years old for forensic purposes. Two investigators analyzed MRI images of the left hand and wrist of 77 male and 74 female caucasian subjects, without chronic diseases or developmental disorders, whose age ranged from 12 to 19 years. Skeletal maturation was determined by two operators, who analyzed all MRI images separately, in blinded fashion to the chronological age. Inter-rater agreement was measured with Pearson (R (2)) coefficient. One of the examiners repeated the evaluation after 6 months, and intraobserver variation was analyzed. Bland-Altman plots were used to determine mean differences between skeletal and chronological age. Inter-rater agreement Pearson coefficient showed a good linear correlation, respectively, 0.98 and 0.97 in males and females. Bland-Altman analysis demonstrated that the differences between chronological and skeletal age are not significant. Spearman's correlation coefficient showed good correlation between skeletal and chronological age both in females (R (2) = 0.96) and in males (R (2) = 0.94). Our results show that MRI skeletal age is a reproducible method and has good correlation with chronological age. In forensic practice, there is a growing need for accurate methods of age estimation, especially in the cases of young individuals of unknown age. Age can be estimated through somatic features that are universally considered associated with chronological age. Unfortunately, these features do not always coincide with the real chronological age: for these reasons that age determination is often very difficult. Our aim is to evaluate accuracy of skeletal age estimation using Tomei's MRI method in subjects between 12 and 19 years old for forensic purposes. Two investigators analyzed MRI images of the left hand and wrist of 77 male and 74 female caucasian subjects, without chronic diseases or developmental disorders, whose age ranged from 12 to 19 years. Skeletal maturation was determined by two operators, who analyzed all MRI images separately, in blinded fashion to the chronological age. Inter-rater agreement was measured with Pearson (R ^sup 2^) coefficient. One of the examiners repeated the evaluation after 6 months, and intraobserver variation was analyzed. Bland-Altman plots were used to determine mean differences between skeletal and chronological age. Inter-rater agreement Pearson coefficient showed a good linear correlation, respectively, 0.98 and 0.97 in males and females. Bland-Altman analysis demonstrated that the differences between chronological and skeletal age are not significant. Spearman's correlation coefficient showed good correlation between skeletal and chronological age both in females (R ^sup 2^=0.96) and in males (R ^sup 2^=0.94). Our results show that MRI skeletal age is a reproducible method and has good correlation with chronological age. |
Author | Tomei, Ernesto Semelka, Richard C. Rodacki, Karina Battisti, Sofia Martino, Milvia Marinelli, Enrico Panebianco, Valeria Zaccagna, Fulvio Serinelli, Serenella |
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BackLink | https://www.ncbi.nlm.nih.gov/pubmed/25721414$$D View this record in MEDLINE/PubMed |
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Snippet | Introduction
In forensic practice, there is a growing need for accurate methods of age estimation, especially in the cases of young individuals of unknown age.... In forensic practice, there is a growing need for accurate methods of age estimation, especially in the cases of young individuals of unknown age. Age can be... |
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StartPage | 609 |
SubjectTerms | Accuracy Adolescent Age Age Determination by Skeleton - methods Carpal Bones - anatomy & histology Child Criminal law Female Forensic Medicine Growth Plate - anatomy & histology Hand Bones - anatomy & histology Humans Magnetic Resonance Imaging - methods Male Males Medical Law Medicine Medicine & Public Health Observer Variation Original Article Osteogenesis - physiology Reference Values Reproducibility of Results Young Adult |
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Title | Accuracy of MRI skeletal age estimation for subjects 12–19. Potential use for subjects of unknown age |
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