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


Ontology type: schema:ScholarlyArticle      Open Access: True


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

References to SciGraph publications

  • 2013-11-26. The value of sub-stages and thin slices for the assessment of the medial clavicular epiphysis: a prospective multi-center CT study in FORENSIC SCIENCE, MEDICINE AND PATHOLOGY
  • 2013-05-26. Age dependence of epiphyseal ossification of the distal radius in ultrasound diagnostics in INTERNATIONAL JOURNAL OF LEGAL MEDICINE
  • 2008-06-12. Criteria for age estimation in living individuals in INTERNATIONAL JOURNAL OF LEGAL MEDICINE
  • 2001-10. Is the Greulich and Pyle atlas still valid for Dutch Caucasian children today? in PEDIATRIC RADIOLOGY
  • 2005-02-24. Assessment of skeletal age at the wrist in children with a new ultrasound device in PEDIATRIC RADIOLOGY
  • 2000-08. Effects of ethnicity on skeletal maturation: consequences for forensic age estimations in INTERNATIONAL JOURNAL OF LEGAL MEDICINE
  • 2012-11-09. The Risser sign for forensic age estimation in living individuals: a study of 643 pelvic radiographs in FORENSIC SCIENCE, MEDICINE AND PATHOLOGY
  • 2014-02-07. Forensic age estimation in living individuals using 3.0T MRI of the distal femur in INTERNATIONAL JOURNAL OF LEGAL MEDICINE
  • 2008-05-06. Applicability of the skeletal age determination method of Tanner and Whitehouse for forensic age diagnostics in INTERNATIONAL JOURNAL OF LEGAL MEDICINE
  • 2013-03-13. Skeletal age determination of the hand: a comparison of methods in INTERNATIONAL JOURNAL OF LEGAL MEDICINE
  • 2000-05. Age estimation: The state of the art in relation to the specific demands of forensic practise in INTERNATIONAL JOURNAL OF LEGAL MEDICINE
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s00414-015-1161-y

    DOI

    http://dx.doi.org/10.1007/s00414-015-1161-y

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1022812248

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/25721414


    Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
    Incoming Citations Browse incoming citations for this publication using opencitations.net

    JSON-LD is the canonical representation for SciGraph data.

    TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

    [
      {
        "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
        "about": [
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Medical and Health Sciences", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1103", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Clinical Sciences", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Adolescent", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Age Determination by Skeleton", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Carpal Bones", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Child", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Female", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Growth Plate", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Hand Bones", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Humans", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Magnetic Resonance Imaging", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Male", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Observer Variation", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Osteogenesis", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Reference Values", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Reproducibility of Results", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Young Adult", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Department of Anatomy, Histology, Forensic Medicine and Orthopedics, \u201cSapienza\u2013University of Rome\u201d, Viale Regina Elena 336, 00161, Rome, Italy", 
              "id": "http://www.grid.ac/institutes/grid.7841.a", 
              "name": [
                "Department of Anatomy, Histology, Forensic Medicine and Orthopedics, \u201cSapienza\u2013University of Rome\u201d, Viale Regina Elena 336, 00161, Rome, Italy"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Serinelli", 
            "givenName": "Serenella", 
            "id": "sg:person.0726157570.36", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0726157570.36"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Radiological Sciences, Oncology and Pathology, \u201cSapienza\u2013University of Rome\u201d, Viale Regina Elena, 324, 00161, Rome, Italy", 
              "id": "http://www.grid.ac/institutes/grid.7841.a", 
              "name": [
                "Department of Radiological Sciences, Oncology and Pathology, \u201cSapienza\u2013University of Rome\u201d, Viale Regina Elena, 324, 00161, Rome, Italy"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Panebianco", 
            "givenName": "Valeria", 
            "id": "sg:person.0731557021.67", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0731557021.67"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Radiological Sciences, Oncology and Pathology, \u201cSapienza\u2013University of Rome\u201d, Viale Regina Elena, 324, 00161, Rome, Italy", 
              "id": "http://www.grid.ac/institutes/grid.7841.a", 
              "name": [
                "Department of Radiological Sciences, Oncology and Pathology, \u201cSapienza\u2013University of Rome\u201d, Viale Regina Elena, 324, 00161, Rome, Italy"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Martino", 
            "givenName": "Milvia", 
            "id": "sg:person.01304603440.97", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01304603440.97"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Radiology, Campus Biomedico of Rome, Via \u00c1lvaro del Portillo 21, 00128, Rome, Italy", 
              "id": "http://www.grid.ac/institutes/None", 
              "name": [
                "Department of Radiology, University of North Carolina, 101 Manning Drive, 27514, Chapel Hill, NC, USA", 
                "Department of Radiology, Campus Biomedico of Rome, Via \u00c1lvaro del Portillo 21, 00128, Rome, Italy"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Battisti", 
            "givenName": "Sofia", 
            "id": "sg:person.014306564011.59", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014306564011.59"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Ecomax - Centro de Diagn\u00f3stico por Imagem, RuaTiradentes, no 303 BomRetiro, CEP 89010-630, Blumenau, SC, Brazil", 
              "id": "http://www.grid.ac/institutes/None", 
              "name": [
                "Ecomax - Centro de Diagn\u00f3stico por Imagem, RuaTiradentes, no 303 BomRetiro, CEP 89010-630, Blumenau, SC, Brazil"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Rodacki", 
            "givenName": "Karina", 
            "id": "sg:person.0672436712.40", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0672436712.40"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Anatomy, Histology, Forensic Medicine and Orthopedics, \u201cSapienza\u2013University of Rome\u201d, Viale Regina Elena 336, 00161, Rome, Italy", 
              "id": "http://www.grid.ac/institutes/grid.7841.a", 
              "name": [
                "Department of Anatomy, Histology, Forensic Medicine and Orthopedics, \u201cSapienza\u2013University of Rome\u201d, Viale Regina Elena 336, 00161, Rome, Italy"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Marinelli", 
            "givenName": "Enrico", 
            "id": "sg:person.01347161431.69", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01347161431.69"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Radiological Sciences, Oncology and Pathology, \u201cSapienza\u2013University of Rome\u201d, Viale Regina Elena, 324, 00161, Rome, Italy", 
              "id": "http://www.grid.ac/institutes/grid.7841.a", 
              "name": [
                "Department of Radiological Sciences, Oncology and Pathology, \u201cSapienza\u2013University of Rome\u201d, Viale Regina Elena, 324, 00161, Rome, Italy"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Zaccagna", 
            "givenName": "Fulvio", 
            "id": "sg:person.01105123162.62", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01105123162.62"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Radiology, University of North Carolina, 101 Manning Drive, 27514, Chapel Hill, NC, USA", 
              "id": "http://www.grid.ac/institutes/grid.410711.2", 
              "name": [
                "Department of Radiology, University of North Carolina, 101 Manning Drive, 27514, Chapel Hill, NC, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Semelka", 
            "givenName": "Richard C.", 
            "id": "sg:person.0753460575.01", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0753460575.01"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Radiological Sciences, Oncology and Pathology, \u201cSapienza\u2013University of Rome\u201d, Viale Regina Elena, 324, 00161, Rome, Italy", 
              "id": "http://www.grid.ac/institutes/grid.7841.a", 
              "name": [
                "Department of Radiological Sciences, Oncology and Pathology, \u201cSapienza\u2013University of Rome\u201d, Viale Regina Elena, 324, 00161, Rome, Italy"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Tomei", 
            "givenName": "Ernesto", 
            "id": "sg:person.0711301511.01", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0711301511.01"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1007/s004140050283", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1007576715", 
              "https://doi.org/10.1007/s004140050283"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s002470100531", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012177498", 
              "https://doi.org/10.1007/s002470100531"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s12024-012-9379-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044635750", 
              "https://doi.org/10.1007/s12024-012-9379-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s004149900102", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039506996", 
              "https://doi.org/10.1007/s004149900102"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s12024-013-9511-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040988025", 
              "https://doi.org/10.1007/s12024-013-9511-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00414-008-0254-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016896792", 
              "https://doi.org/10.1007/s00414-008-0254-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00414-014-0967-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028382139", 
              "https://doi.org/10.1007/s00414-014-0967-3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00414-008-0237-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037427285", 
              "https://doi.org/10.1007/s00414-008-0237-3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00414-013-0871-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042809761", 
              "https://doi.org/10.1007/s00414-013-0871-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00247-004-1385-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042489942", 
              "https://doi.org/10.1007/s00247-004-1385-3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00414-013-0845-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032427521", 
              "https://doi.org/10.1007/s00414-013-0845-4"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2015-02-27", 
        "datePublishedReg": "2015-02-27", 
        "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\u2019s MRI method in subjects between 12 and 19\u00a0years 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\u00a0years. 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\u00a0months, and intraobserver variation was analyzed. Bland\u2013Altman 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\u2013Altman analysis demonstrated that the differences between chronological and skeletal age are not significant. Spearman\u2019s correlation coefficient showed good correlation between skeletal and chronological age both in females (R2\u2009=\u20090.96) and in males (R2\u2009=\u20090.94).ConclusionsOur results show that MRI skeletal age is a reproducible method and has good correlation with chronological age.", 
        "genre": "article", 
        "id": "sg:pub.10.1007/s00414-015-1161-y", 
        "inLanguage": "en", 
        "isAccessibleForFree": true, 
        "isPartOf": [
          {
            "id": "sg:journal.1013672", 
            "issn": [
              "0937-9827", 
              "1437-1596"
            ], 
            "name": "International Journal of Legal Medicine", 
            "publisher": "Springer Nature", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "3", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "129"
          }
        ], 
        "keywords": [
          "chronological age", 
          "female Caucasian subjects", 
          "skeletal age", 
          "Bland-Altman plots", 
          "Bland-Altman analysis", 
          "MRI methods", 
          "inter-rater agreement", 
          "Spearman correlation coefficient", 
          "subjects 12", 
          "chronic diseases", 
          "blinded fashion", 
          "Caucasian subjects", 
          "Pearson coefficient", 
          "MRI images", 
          "skeletal age estimation", 
          "skeletal maturation", 
          "left hand", 
          "mean difference", 
          "young individuals", 
          "ConclusionsOur results", 
          "age", 
          "somatic features", 
          "real chronological age", 
          "developmental disorders", 
          "males", 
          "subjects", 
          "correlation coefficient", 
          "good correlation", 
          "females", 
          "reproducible method", 
          "years", 
          "unknown age", 
          "disease", 
          "wrist", 
          "months", 
          "disorders", 
          "correlation", 
          "potential use", 
          "differences", 
          "age estimation", 
          "examiners", 
          "maturation", 
          "investigators", 
          "linear correlation", 
          "aim", 
          "forensic practice", 
          "individuals", 
          "accurate method", 
          "cases", 
          "evaluation", 
          "features", 
          "fashion", 
          "practice", 
          "need", 
          "use", 
          "purpose", 
          "method", 
          "reasons", 
          "hand", 
          "good linear correlation", 
          "analysis", 
          "results", 
          "forensic purposes", 
          "images", 
          "accuracy", 
          "materials", 
          "variation", 
          "determination", 
          "coefficient", 
          "estimation", 
          "agreement", 
          "plots", 
          "age determination", 
          "operators", 
          "IntroductionIn forensic practice", 
          "Tomei\u2019s MRI method", 
          "methodsTwo investigators", 
          "ResultsInter-rater agreement Pearson coefficient", 
          "agreement Pearson coefficient", 
          "MRI skeletal age", 
          "MRI skeletal age estimation"
        ], 
        "name": "Accuracy of MRI skeletal age estimation for subjects 12\u201319. Potential use for subjects of unknown age", 
        "pagination": "609-617", 
        "productId": [
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1022812248"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s00414-015-1161-y"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "25721414"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s00414-015-1161-y", 
          "https://app.dimensions.ai/details/publication/pub.1022812248"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2022-01-01T18:39", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-springernature-scigraph/baseset/20220101/entities/gbq_results/article/article_683.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://doi.org/10.1007/s00414-015-1161-y"
      }
    ]
     

    Download the RDF metadata as:  json-ld nt turtle xml License info

    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s00414-015-1161-y'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s00414-015-1161-y'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00414-015-1161-y'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00414-015-1161-y'


     

    This table displays all metadata directly associated to this object as RDF triples.

    314 TRIPLES      22 PREDICATES      133 URIs      114 LITERALS      22 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s00414-015-1161-y schema:about N0cd7c9332e334a90b4abebb0bcd3ef78
    2 N2704ea7a475c4d099b1213eb77db2a4d
    3 N2d8f7d53b3d149b596dd3192371bf41a
    4 N331d2beab8b84ea590d14c0a8c1419de
    5 N44f86de2d84043969f6f77a75f0702da
    6 N73bfd4236f404259863f482682305694
    7 N7b5d20b19dd04254b941dc16caa38496
    8 N7f65357baaee4f1c969c43823487d6b2
    9 N8491711363b84dc7ac377b099c98986c
    10 N8a3aabb5b7d74b03bad28e24688dc03a
    11 N8f4bfabcd55a441a9f112302eb03120b
    12 Nbb644e0cf7ee4efbbd002fb12633914b
    13 Nd03e0e9b999d4d77a4e556264172dbc0
    14 Nd0d08575a28b4ffaa6a3dc1130325a47
    15 Nf8ad21957c244b08afb1d01f35da813a
    16 anzsrc-for:11
    17 anzsrc-for:1103
    18 schema:author Naba70baf6e8b41939349b389f83bfee4
    19 schema:citation sg:pub.10.1007/s00247-004-1385-3
    20 sg:pub.10.1007/s002470100531
    21 sg:pub.10.1007/s00414-008-0237-3
    22 sg:pub.10.1007/s00414-008-0254-2
    23 sg:pub.10.1007/s00414-013-0845-4
    24 sg:pub.10.1007/s00414-013-0871-2
    25 sg:pub.10.1007/s00414-014-0967-3
    26 sg:pub.10.1007/s004140050283
    27 sg:pub.10.1007/s004149900102
    28 sg:pub.10.1007/s12024-012-9379-1
    29 sg:pub.10.1007/s12024-013-9511-x
    30 schema:datePublished 2015-02-27
    31 schema:datePublishedReg 2015-02-27
    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.
    33 schema:genre article
    34 schema:inLanguage en
    35 schema:isAccessibleForFree true
    36 schema:isPartOf N3325a282e3a44adb959d38b6b79335a6
    37 Nb65ef81435eb485794051eb7f070e03e
    38 sg:journal.1013672
    39 schema:keywords Bland-Altman analysis
    40 Bland-Altman plots
    41 Caucasian subjects
    42 ConclusionsOur results
    43 IntroductionIn forensic practice
    44 MRI images
    45 MRI methods
    46 MRI skeletal age
    47 MRI skeletal age estimation
    48 Pearson coefficient
    49 ResultsInter-rater agreement Pearson coefficient
    50 Spearman correlation coefficient
    51 Tomei’s MRI method
    52 accuracy
    53 accurate method
    54 age
    55 age determination
    56 age estimation
    57 agreement
    58 agreement Pearson coefficient
    59 aim
    60 analysis
    61 blinded fashion
    62 cases
    63 chronic diseases
    64 chronological age
    65 coefficient
    66 correlation
    67 correlation coefficient
    68 determination
    69 developmental disorders
    70 differences
    71 disease
    72 disorders
    73 estimation
    74 evaluation
    75 examiners
    76 fashion
    77 features
    78 female Caucasian subjects
    79 females
    80 forensic practice
    81 forensic purposes
    82 good correlation
    83 good linear correlation
    84 hand
    85 images
    86 individuals
    87 inter-rater agreement
    88 investigators
    89 left hand
    90 linear correlation
    91 males
    92 materials
    93 maturation
    94 mean difference
    95 method
    96 methodsTwo investigators
    97 months
    98 need
    99 operators
    100 plots
    101 potential use
    102 practice
    103 purpose
    104 real chronological age
    105 reasons
    106 reproducible method
    107 results
    108 skeletal age
    109 skeletal age estimation
    110 skeletal maturation
    111 somatic features
    112 subjects
    113 subjects 12
    114 unknown age
    115 use
    116 variation
    117 wrist
    118 years
    119 young individuals
    120 schema:name Accuracy of MRI skeletal age estimation for subjects 12–19. Potential use for subjects of unknown age
    121 schema:pagination 609-617
    122 schema:productId N4409125ff39f49fca6fe4bc72f968bbe
    123 N4cde6507bf0e4a518501fd4d38a228a4
    124 Nf712a6e3a72544b28499346bfac6fe3b
    125 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022812248
    126 https://doi.org/10.1007/s00414-015-1161-y
    127 schema:sdDatePublished 2022-01-01T18:39
    128 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    129 schema:sdPublisher N066564ef27f84c09999ce1d1ef0a7a9d
    130 schema:url https://doi.org/10.1007/s00414-015-1161-y
    131 sgo:license sg:explorer/license/
    132 sgo:sdDataset articles
    133 rdf:type schema:ScholarlyArticle
    134 N066564ef27f84c09999ce1d1ef0a7a9d schema:name Springer Nature - SN SciGraph project
    135 rdf:type schema:Organization
    136 N0cd7c9332e334a90b4abebb0bcd3ef78 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    137 schema:name Magnetic Resonance Imaging
    138 rdf:type schema:DefinedTerm
    139 N12bab623829b4e38ac11538b1c9419a0 rdf:first sg:person.01105123162.62
    140 rdf:rest N5831403f87234608b0cccc0d1c9cc113
    141 N2704ea7a475c4d099b1213eb77db2a4d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    142 schema:name Osteogenesis
    143 rdf:type schema:DefinedTerm
    144 N27297eb8028c4cb28a44ff6e3d4d166a rdf:first sg:person.01304603440.97
    145 rdf:rest Nab3cd117b3ce4bcf985e394ad0a3aeaa
    146 N2d8f7d53b3d149b596dd3192371bf41a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    147 schema:name Reproducibility of Results
    148 rdf:type schema:DefinedTerm
    149 N331d2beab8b84ea590d14c0a8c1419de schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    150 schema:name Child
    151 rdf:type schema:DefinedTerm
    152 N3325a282e3a44adb959d38b6b79335a6 schema:volumeNumber 129
    153 rdf:type schema:PublicationVolume
    154 N3bdc54a6366c463d8aef04d79cd03891 rdf:first sg:person.0731557021.67
    155 rdf:rest N27297eb8028c4cb28a44ff6e3d4d166a
    156 N4409125ff39f49fca6fe4bc72f968bbe schema:name pubmed_id
    157 schema:value 25721414
    158 rdf:type schema:PropertyValue
    159 N44f86de2d84043969f6f77a75f0702da schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    160 schema:name Male
    161 rdf:type schema:DefinedTerm
    162 N4cde6507bf0e4a518501fd4d38a228a4 schema:name dimensions_id
    163 schema:value pub.1022812248
    164 rdf:type schema:PropertyValue
    165 N50e16e15047f4674b444a61c3f33a2d5 rdf:first sg:person.0672436712.40
    166 rdf:rest Ne00ceffa32f24e65afac6ed395d032a6
    167 N5831403f87234608b0cccc0d1c9cc113 rdf:first sg:person.0753460575.01
    168 rdf:rest Nccd925d899ab4d36933b15767d07766b
    169 N73bfd4236f404259863f482682305694 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    170 schema:name Humans
    171 rdf:type schema:DefinedTerm
    172 N7b5d20b19dd04254b941dc16caa38496 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    173 schema:name Observer Variation
    174 rdf:type schema:DefinedTerm
    175 N7f65357baaee4f1c969c43823487d6b2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    176 schema:name Growth Plate
    177 rdf:type schema:DefinedTerm
    178 N8491711363b84dc7ac377b099c98986c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    179 schema:name Adolescent
    180 rdf:type schema:DefinedTerm
    181 N8a3aabb5b7d74b03bad28e24688dc03a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    182 schema:name Hand Bones
    183 rdf:type schema:DefinedTerm
    184 N8f4bfabcd55a441a9f112302eb03120b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    185 schema:name Female
    186 rdf:type schema:DefinedTerm
    187 Nab3cd117b3ce4bcf985e394ad0a3aeaa rdf:first sg:person.014306564011.59
    188 rdf:rest N50e16e15047f4674b444a61c3f33a2d5
    189 Naba70baf6e8b41939349b389f83bfee4 rdf:first sg:person.0726157570.36
    190 rdf:rest N3bdc54a6366c463d8aef04d79cd03891
    191 Nb65ef81435eb485794051eb7f070e03e schema:issueNumber 3
    192 rdf:type schema:PublicationIssue
    193 Nbb644e0cf7ee4efbbd002fb12633914b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    194 schema:name Young Adult
    195 rdf:type schema:DefinedTerm
    196 Nccd925d899ab4d36933b15767d07766b rdf:first sg:person.0711301511.01
    197 rdf:rest rdf:nil
    198 Nd03e0e9b999d4d77a4e556264172dbc0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    199 schema:name Reference Values
    200 rdf:type schema:DefinedTerm
    201 Nd0d08575a28b4ffaa6a3dc1130325a47 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    202 schema:name Carpal Bones
    203 rdf:type schema:DefinedTerm
    204 Ne00ceffa32f24e65afac6ed395d032a6 rdf:first sg:person.01347161431.69
    205 rdf:rest N12bab623829b4e38ac11538b1c9419a0
    206 Nf712a6e3a72544b28499346bfac6fe3b schema:name doi
    207 schema:value 10.1007/s00414-015-1161-y
    208 rdf:type schema:PropertyValue
    209 Nf8ad21957c244b08afb1d01f35da813a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    210 schema:name Age Determination by Skeleton
    211 rdf:type schema:DefinedTerm
    212 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
    213 schema:name Medical and Health Sciences
    214 rdf:type schema:DefinedTerm
    215 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
    216 schema:name Clinical Sciences
    217 rdf:type schema:DefinedTerm
    218 sg:journal.1013672 schema:issn 0937-9827
    219 1437-1596
    220 schema:name International Journal of Legal Medicine
    221 schema:publisher Springer Nature
    222 rdf:type schema:Periodical
    223 sg:person.01105123162.62 schema:affiliation grid-institutes:grid.7841.a
    224 schema:familyName Zaccagna
    225 schema:givenName Fulvio
    226 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01105123162.62
    227 rdf:type schema:Person
    228 sg:person.01304603440.97 schema:affiliation grid-institutes:grid.7841.a
    229 schema:familyName Martino
    230 schema:givenName Milvia
    231 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01304603440.97
    232 rdf:type schema:Person
    233 sg:person.01347161431.69 schema:affiliation grid-institutes:grid.7841.a
    234 schema:familyName Marinelli
    235 schema:givenName Enrico
    236 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01347161431.69
    237 rdf:type schema:Person
    238 sg:person.014306564011.59 schema:affiliation grid-institutes:None
    239 schema:familyName Battisti
    240 schema:givenName Sofia
    241 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014306564011.59
    242 rdf:type schema:Person
    243 sg:person.0672436712.40 schema:affiliation grid-institutes:None
    244 schema:familyName Rodacki
    245 schema:givenName Karina
    246 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0672436712.40
    247 rdf:type schema:Person
    248 sg:person.0711301511.01 schema:affiliation grid-institutes:grid.7841.a
    249 schema:familyName Tomei
    250 schema:givenName Ernesto
    251 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0711301511.01
    252 rdf:type schema:Person
    253 sg:person.0726157570.36 schema:affiliation grid-institutes:grid.7841.a
    254 schema:familyName Serinelli
    255 schema:givenName Serenella
    256 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0726157570.36
    257 rdf:type schema:Person
    258 sg:person.0731557021.67 schema:affiliation grid-institutes:grid.7841.a
    259 schema:familyName Panebianco
    260 schema:givenName Valeria
    261 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0731557021.67
    262 rdf:type schema:Person
    263 sg:person.0753460575.01 schema:affiliation grid-institutes:grid.410711.2
    264 schema:familyName Semelka
    265 schema:givenName Richard C.
    266 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0753460575.01
    267 rdf:type schema:Person
    268 sg:pub.10.1007/s00247-004-1385-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042489942
    269 https://doi.org/10.1007/s00247-004-1385-3
    270 rdf:type schema:CreativeWork
    271 sg:pub.10.1007/s002470100531 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012177498
    272 https://doi.org/10.1007/s002470100531
    273 rdf:type schema:CreativeWork
    274 sg:pub.10.1007/s00414-008-0237-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037427285
    275 https://doi.org/10.1007/s00414-008-0237-3
    276 rdf:type schema:CreativeWork
    277 sg:pub.10.1007/s00414-008-0254-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016896792
    278 https://doi.org/10.1007/s00414-008-0254-2
    279 rdf:type schema:CreativeWork
    280 sg:pub.10.1007/s00414-013-0845-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032427521
    281 https://doi.org/10.1007/s00414-013-0845-4
    282 rdf:type schema:CreativeWork
    283 sg:pub.10.1007/s00414-013-0871-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042809761
    284 https://doi.org/10.1007/s00414-013-0871-2
    285 rdf:type schema:CreativeWork
    286 sg:pub.10.1007/s00414-014-0967-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028382139
    287 https://doi.org/10.1007/s00414-014-0967-3
    288 rdf:type schema:CreativeWork
    289 sg:pub.10.1007/s004140050283 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007576715
    290 https://doi.org/10.1007/s004140050283
    291 rdf:type schema:CreativeWork
    292 sg:pub.10.1007/s004149900102 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039506996
    293 https://doi.org/10.1007/s004149900102
    294 rdf:type schema:CreativeWork
    295 sg:pub.10.1007/s12024-012-9379-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044635750
    296 https://doi.org/10.1007/s12024-012-9379-1
    297 rdf:type schema:CreativeWork
    298 sg:pub.10.1007/s12024-013-9511-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1040988025
    299 https://doi.org/10.1007/s12024-013-9511-x
    300 rdf:type schema:CreativeWork
    301 grid-institutes:None schema:alternateName Department of Radiology, Campus Biomedico of Rome, Via Álvaro del Portillo 21, 00128, Rome, Italy
    302 Ecomax - Centro de Diagnóstico por Imagem, RuaTiradentes, no 303 BomRetiro, CEP 89010-630, Blumenau, SC, Brazil
    303 schema:name Department of Radiology, Campus Biomedico of Rome, Via Álvaro del Portillo 21, 00128, Rome, Italy
    304 Department of Radiology, University of North Carolina, 101 Manning Drive, 27514, Chapel Hill, NC, USA
    305 Ecomax - Centro de Diagnóstico por Imagem, RuaTiradentes, no 303 BomRetiro, CEP 89010-630, Blumenau, SC, Brazil
    306 rdf:type schema:Organization
    307 grid-institutes:grid.410711.2 schema:alternateName Department of Radiology, University of North Carolina, 101 Manning Drive, 27514, Chapel Hill, NC, USA
    308 schema:name Department of Radiology, University of North Carolina, 101 Manning Drive, 27514, Chapel Hill, NC, USA
    309 rdf:type schema:Organization
    310 grid-institutes:grid.7841.a schema:alternateName Department of Anatomy, Histology, Forensic Medicine and Orthopedics, “Sapienza–University of Rome”, Viale Regina Elena 336, 00161, Rome, Italy
    311 Department of Radiological Sciences, Oncology and Pathology, “Sapienza–University of Rome”, Viale Regina Elena, 324, 00161, Rome, Italy
    312 schema:name Department of Anatomy, Histology, Forensic Medicine and Orthopedics, “Sapienza–University of Rome”, Viale Regina Elena 336, 00161, Rome, Italy
    313 Department of Radiological Sciences, Oncology and Pathology, “Sapienza–University of Rome”, Viale Regina Elena, 324, 00161, Rome, Italy
    314 rdf:type schema:Organization
     




    Preview window. Press ESC to close (or click here)


    ...