Accuracy of MRI skeletal age estimation for subjects 12–19. Potential use for subjects of unknown age View Full Text


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Article Info

DATE

2015-02-27

AUTHORS

Serenella Serinelli, Valeria Panebianco, Milvia Martino, Sofia Battisti, Karina Rodacki, Enrico Marinelli, Fulvio Zaccagna, Richard C. Semelka, Ernesto Tomei

ABSTRACT

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.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 (R2) 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.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 (R2 = 0.96) and in males (R2 = 0.94).ConclusionsOur results show that MRI skeletal age is a reproducible method and has good correlation with chronological age. More... »

PAGES

609-617

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    32 schema:description 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.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 (R2) 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.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 (R2 = 0.96) and in males (R2 = 0.94).ConclusionsOur results show that MRI skeletal age is a reproducible method and has good correlation with chronological age.
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    39 schema:keywords Bland-Altman analysis
    40 Bland-Altman plots
    41 Caucasian subjects
    42 ConclusionsOur results
    43 MRI images
    44 MRI methods
    45 MethodsTwo investigators
    46 Pearson coefficient
    47 Spearman correlation coefficient
    48 accuracy
    49 accurate method
    50 age
    51 age determination
    52 age estimation
    53 agreement
    54 aim
    55 analysis
    56 blinded fashion
    57 cases
    58 chronic diseases
    59 chronological age
    60 coefficient
    61 correlation
    62 correlation coefficient
    63 determination
    64 developmental disorders
    65 differences
    66 disease
    67 disorders
    68 estimation
    69 evaluation
    70 examiners
    71 fashion
    72 features
    73 female Caucasian subjects
    74 females
    75 forensic practice
    76 forensic purposes
    77 good correlation
    78 good linear correlation
    79 hand
    80 images
    81 individuals
    82 inter-rater agreement
    83 investigators
    84 left hand
    85 linear correlation
    86 males
    87 materials
    88 maturation
    89 mean difference
    90 method
    91 months
    92 need
    93 operators
    94 plots
    95 potential use
    96 practice
    97 purpose
    98 real chronological age
    99 reasons
    100 reproducible method
    101 results
    102 skeletal age
    103 skeletal age estimation
    104 skeletal maturation
    105 somatic features
    106 subjects
    107 subjects 12
    108 unknown age
    109 use
    110 variation
    111 wrist
    112 years
    113 young individuals
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