Literature DB >> 25595461

Variability in developmental timings of the knee in young American children as assessed through Pyle and Hoerr's radiographic atlas.

Maureen Schaefer1, Lucina Hackman2, John Gallagher1.   

Abstract

This study examines the accuracy of the Pyle and Hoerr radiographic atlas technique in an effort to document the extent of normal variation associated with developmental timings in the knee for purposes of age estimation. The atlas has been previously tested; however, accuracy rates were produced from a dataset, which spread in age from mostly 7-16 years. This study took a closer look at the younger age groups, examining radiographs from 297 children (147 female and 150 male) from birth to 6 years. Standard deviations representing the difference between the skeletal and chronological age were calculated according to two groupings. Each group represents episodes, or time periods, of differential developmental rates as expressed through the number of plates within the atlas dedicated to documenting each year of life. The beginning year of life is characterized by the most rapid of development as represented by the numerous image plates used to depict this time period. Individuals assigned to plates with a skeletal age between birth and 1 year were grouped collectively to document the variation associated with such rapidly changing morphology (SD = 2.5 months in female children; 2.3 months in male children). Years 1-3.8 years (female) and 1-4.5 years (male) were represented by two or three images within the atlas, and therefore, individuals assigned to plates with a skeletal age falling within this range were placed within a second grouping (SD = 5.2 months in female children; 7.0 months in male children). As expected, variation was observed to decrease as developmental processes accelerated in the younger children. The newly calculated standard deviations offer tighter predictions for estimating age in young children while at the same time maintaining an acceptable width that accounts for normal variation in developmental timings.

Entities:  

Keywords:  Age estimation; Development; Juvenile osteology; Knee radiographs

Mesh:

Year:  2015        PMID: 25595461     DOI: 10.1007/s00414-015-1141-2

Source DB:  PubMed          Journal:  Int J Legal Med        ISSN: 0937-9827            Impact factor:   2.686


  26 in total

1.  Secular trend in body height and weight of Australian children and adolescents.

Authors:  D Z Loesch; K Stokes; R M Huggins
Journal:  Am J Phys Anthropol       Date:  2000-04       Impact factor: 2.868

Review 2.  Age estimation: the state of the art in relation to the specific demands of forensic practise.

Authors:  S Ritz-Timme; C Cattaneo; M J Collins; E R Waite; H W Schütz; H J Kaatsch; H I Borrman
Journal:  Int J Legal Med       Date:  2000       Impact factor: 2.686

3.  Effects of ethnicity on skeletal maturation: consequences for forensic age estimations.

Authors:  A Schmeling; W Reisinger; D Loreck; K Vendura; W Markus; G Geserick
Journal:  Int J Legal Med       Date:  2000       Impact factor: 2.686

4.  Age assessment by magnetic resonance imaging of the knee: a preliminary study.

Authors:  Fabrice Dedouit; Julien Auriol; Hervé Rousseau; Daniel Rougé; Eric Crubézy; Norbert Telmon
Journal:  Forensic Sci Int       Date:  2011-12-05       Impact factor: 2.395

5.  Forensic age estimation and ethnicity.

Authors:  Andreas Schmeling; Andreas Olze; Walter Reisinger; Gunther Geserick
Journal:  Leg Med (Tokyo)       Date:  2005-03       Impact factor: 1.376

6.  A method to establish the relationship between chronological age and stage of union from radiographic assessment of epiphyseal fusion at the knee: an Irish population study.

Authors:  J E O'Connor; C Bogue; L D Spence; J Last
Journal:  J Anat       Date:  2008-01-03       Impact factor: 2.610

Review 7.  Forensic age estimation in human skeletal remains: current concepts and future directions.

Authors:  Daniel Franklin
Journal:  Leg Med (Tokyo)       Date:  2009-10-22       Impact factor: 1.376

8.  Age estimation using foot radiographs from a modern Scottish population.

Authors:  Lucina Hackman; Catriona M Davies; Sue Black
Journal:  J Forensic Sci       Date:  2012-10-19       Impact factor: 1.832

9.  Growth standards for the tibia and radius in children aged one month through eighteen years.

Authors:  P S Gindhart
Journal:  Am J Phys Anthropol       Date:  1973-07       Impact factor: 2.868

10.  Ossification communalities of the hand and other body parts: their implication to skeletal assessment.

Authors:  S M Garn; C G Rohmann; T Blumenthal; F N Silverman
Journal:  Am J Phys Anthropol       Date:  1967-07       Impact factor: 2.868

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  1 in total

1.  Pediatric age estimation from radiographs of the knee using deep learning.

Authors:  Aydin Demircioğlu; Anton S Quinsten; Michael Forsting; Lale Umutlu; Kai Nassenstein
Journal:  Eur Radiol       Date:  2022-03-01       Impact factor: 7.034

  1 in total

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