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1000 Titel
  • Acceleration of skeletal maturation in Central Europe over the last two decades: insights from two cohorts of healthy children
1000 Autor/in
  1. Pape, Johanna |
  2. Rosolowski, Maciej |
  3. Zimmermann, Peter |
  4. Pfäffle, Roland |
  5. Hirsch, Franz Wolfgang |
  6. Gräfe, Daniel |
1000 Verlag
  • Springer Berlin Heidelberg
1000 Erscheinungsjahr 2024
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2024-07-20
1000 Erschienen in
1000 Quellenangabe
  • 54(10):1686-1691
1000 Copyrightjahr
  • 2024
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1007/s00247-024-05994-6 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11377632/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • <jats:title>Abstract</jats:title><jats:sec> <jats:title>Background</jats:title> <jats:p>Deviations between the determination of bone age (BA) according to Greulich and Pyle (G&amp;P) and chronological age (CA) are common in Caucasians. Assessing these discrepancies in a population over time requires analysis of large samples and low intra-observer variability in BA estimation, both can be achieved with artificial intelligence-based software. The latest software-based reference curve contrasting the BA determined by G&amp;P to the CA of Central European children dates back over two decades.</jats:p> </jats:sec><jats:sec> <jats:title>Objective</jats:title> <jats:p>To examine whether the reference curve from a historical cohort from the Netherlands (Rotterdam cohort) between BA determined by G&amp;P and CA still applies to a current Central European cohort and derive a current reference curve.</jats:p> </jats:sec><jats:sec> <jats:title>Materials and methods</jats:title> <jats:p>This retrospective single-center study included 1,653 children and adolescents (aged 3–17 years) who had received a radiograph of the hand following trauma. The G&amp;P BA estimated using artificial intelligence-based software was contrasted with the CA, and the deviations were compared with the Rotterdam cohort.</jats:p> </jats:sec><jats:sec> <jats:title>Results</jats:title> <jats:p>Among the participants, the mean absolute error between BA and CA was 0.92 years for girls and 0.97 years for boys. For the ages of 8 years (boys) and 11 years (girls) and upward, the mean deviation was significantly greater in the current cohort than in the Rotterdam cohort. The reference curves of both cohorts also differed significantly from each other (<jats:italic>P</jats:italic> &lt; 0.001 for both boys and girls).</jats:p> </jats:sec><jats:sec> <jats:title>Conclusion</jats:title> <jats:p>The BA of the current Central European population and that of the curve from the Rotterdam cohort from over two decades ago differ. Whether this effect can be attributed to accelerated bone maturation needs further evaluation.</jats:p> </jats:sec>
1000 Sacherschließung
lokal Adolescent [MeSH]
lokal Europe [MeSH]
lokal Female [MeSH]
lokal Reference Values [MeSH]
lokal Humans [MeSH]
lokal Artificial intelligence
lokal Retrospective Studies [MeSH]
lokal Artificial Intelligence [MeSH]
lokal Bone Development/physiology [MeSH]
lokal Bone age
lokal Original Article
lokal Male [MeSH]
lokal Reference growth curves
lokal Precocious puberty
lokal Age Determination by Skeleton/methods [MeSH]
lokal Children growth disorders
lokal Child [MeSH]
lokal Netherlands [MeSH]
lokal Child, Preschool [MeSH]
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://orcid.org/0009-0002-1280-3866|https://orcid.org/0000-0003-3204-748X|https://orcid.org/0000-0001-6571-5283|https://orcid.org/0000-0001-6754-3681|https://orcid.org/0000-0003-0960-3740|https://orcid.org/0000-0002-7680-0990
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  • DeepGreen-ID: 81cc7ccfd21548ab8ee2369a39a69c7a ; metadata provieded by: DeepGreen (https://www.oa-deepgreen.de/api/v1/), LIVIVO search scope life sciences (http://z3950.zbmed.de:6210/livivo), Crossref Unified Resource API (https://api.crossref.org/swagger-ui/index.html), to.science.api (https://frl.publisso.de/), ZDB JSON-API (beta) (https://zeitschriftendatenbank.de/api/), lobid - Dateninfrastruktur für Bibliotheken (https://lobid.org/resources/search)
1000 Label
1000 Förderer
  1. Universitätsklinikum Leipzig |
1000 Fördernummer
  1. -
1000 Förderprogramm
  1. -
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Universitätsklinikum Leipzig |
    1000 Förderprogramm -
    1000 Fördernummer -
1000 Objektart article
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1000 @id frl:6493836.rdf
1000 Erstellt am 2025-02-03T23:04:25.446+0100
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