Age prediction formulae from radiographic assessment of skeletal maturation at the knee in an Irish population.

Hdl Handle:
http://hdl.handle.net/10147/325958
Title:
Age prediction formulae from radiographic assessment of skeletal maturation at the knee in an Irish population.
Authors:
O'Connor, Jean E; Coyle, Joseph; Bogue, Conor; Spence, Liam D; Last, Jason
Affiliation:
UCD School of Medicine and Medical Science, Health Sciences Centre, University College Dublin, Belfield, Dublin 4, Ireland. Electronic address: jean.oconnor@ucd.ie.
Citation:
Age prediction formulae from radiographic assessment of skeletal maturation at the knee in an Irish population. 2014, 234:188.e1-8 Forensic Sci. Int.
Journal:
Forensic science international
Issue Date:
Jan-2014
URI:
http://hdl.handle.net/10147/325958
DOI:
10.1016/j.forsciint.2013.10.032
PubMed ID:
24262807
Additional Links:
http://www.sciencedirect.com/science/article/pii/S0379073813004775
Abstract:
Age estimation in living subjects is primarily achieved through assessment of a hand-wrist radiograph and comparison with a standard reference atlas. Recently, maturation of other regions of the skeleton has also been assessed in an attempt to refine the age estimates. The current study presents a method to predict bone age directly from the knee in a modern Irish sample. Ten maturity indicators (A-J) at the knee were examined from radiographs of 221 subjects (137 males; 84 females). Each indicator was assigned a maturity score. Scores for indicators A-G, H-J and A-J, respectively, were totalled to provide a cumulative maturity score for change in morphology of the epiphyses (AG), epiphyseal union (HJ) and the combination of both (AJ). Linear regression equations to predict age from the maturity scores (AG, HJ, AJ) were constructed for males and females. For males, equation-AJ demonstrated the greatest predictive capability (R(2)=0.775) while for females equation-HJ had the strongest capacity for prediction (R(2)=0.815). When equation-AJ for males and equation-HJ for females were applied to the current sample, the predicted age of 90% of subjects was within ±1.5 years of actual age for male subjects and within +2.0 to -1.9 years of actual age for female subjects. The regression formulae and associated charts represent the most contemporary method of age prediction currently available for an Irish population, and provide a further technique which can contribute to a multifactorial approach to age estimation in non-adults.
Item Type:
Article
Language:
en
Keywords:
BONE DENSITY
Local subject classification:
KNEE
ISSN:
1872-6283

Full metadata record

DC FieldValue Language
dc.contributor.authorO'Connor, Jean Een_GB
dc.contributor.authorCoyle, Josephen_GB
dc.contributor.authorBogue, Conoren_GB
dc.contributor.authorSpence, Liam Den_GB
dc.contributor.authorLast, Jasonen_GB
dc.date.accessioned2014-09-09T08:17:08Z-
dc.date.available2014-09-09T08:17:08Z-
dc.date.issued2014-01-
dc.identifier.citationAge prediction formulae from radiographic assessment of skeletal maturation at the knee in an Irish population. 2014, 234:188.e1-8 Forensic Sci. Int.en_GB
dc.identifier.issn1872-6283-
dc.identifier.pmid24262807-
dc.identifier.doi10.1016/j.forsciint.2013.10.032-
dc.identifier.urihttp://hdl.handle.net/10147/325958-
dc.description.abstractAge estimation in living subjects is primarily achieved through assessment of a hand-wrist radiograph and comparison with a standard reference atlas. Recently, maturation of other regions of the skeleton has also been assessed in an attempt to refine the age estimates. The current study presents a method to predict bone age directly from the knee in a modern Irish sample. Ten maturity indicators (A-J) at the knee were examined from radiographs of 221 subjects (137 males; 84 females). Each indicator was assigned a maturity score. Scores for indicators A-G, H-J and A-J, respectively, were totalled to provide a cumulative maturity score for change in morphology of the epiphyses (AG), epiphyseal union (HJ) and the combination of both (AJ). Linear regression equations to predict age from the maturity scores (AG, HJ, AJ) were constructed for males and females. For males, equation-AJ demonstrated the greatest predictive capability (R(2)=0.775) while for females equation-HJ had the strongest capacity for prediction (R(2)=0.815). When equation-AJ for males and equation-HJ for females were applied to the current sample, the predicted age of 90% of subjects was within ±1.5 years of actual age for male subjects and within +2.0 to -1.9 years of actual age for female subjects. The regression formulae and associated charts represent the most contemporary method of age prediction currently available for an Irish population, and provide a further technique which can contribute to a multifactorial approach to age estimation in non-adults.en_GB
dc.language.isoenen
dc.relation.urlhttp://www.sciencedirect.com/science/article/pii/S0379073813004775en_GB
dc.rightsArchived with thanks to Forensic science internationalen_GB
dc.subjectBONE DENSITYen_GB
dc.subject.otherKNEEen_GB
dc.titleAge prediction formulae from radiographic assessment of skeletal maturation at the knee in an Irish population.en_GB
dc.typeArticleen
dc.contributor.departmentUCD School of Medicine and Medical Science, Health Sciences Centre, University College Dublin, Belfield, Dublin 4, Ireland. Electronic address: jean.oconnor@ucd.ie.en_GB
dc.identifier.journalForensic science internationalen_GB
dc.description.fundingNo fundingen
dc.description.provinceMunsteren
dc.description.peer-reviewpeer-reviewen
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