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A systematic review of the agreement between chronological age and skeletal age based on the Greulich and Pyle atlas
Objectives This systematic review examines the agreement between assessed skeletal age by the Greulich and Pyle atlas (GP skeletal age) and chronological age. Methods We searched electronic databases until January 2017 for studies reporting GP skeletal age and confirmed chronological age in healthy...
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Published in: | European radiology 2019-06, Vol.29 (6), p.2936-2948 |
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Main Authors: | , , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Objectives
This systematic review examines the agreement between assessed skeletal age by the Greulich and Pyle atlas (GP skeletal age) and chronological age.
Methods
We searched electronic databases until January 2017 for studies reporting GP skeletal age and confirmed chronological age in healthy individuals aged 10–25 years. Results are presented as forest plots and meta-analyses (random-effects models).
Results
In separate meta-analyses for each age group and sex (14–18 years for girls, 14–19 years for boys), the pooled mean differences between GP skeletal age and chronological age varied from -0.52 years to 0.47 years. In individual studies, age group and sex-specific mean differences between GP skeletal age and chronological age rarely exceeded 1 year, but between-study heterogeneities were large in most age groups. Few studies examined mean chronological age and distribution for each GP skeletal age. One study of good methodological quality indicates that 95% prediction intervals for chronological age from given GP skeletal ages are typically around 4 years.
Conclusions
There is still good correlation between GP skeletal age and mean chronological age in modern populations. However, the individual variation of development within a population and heterogeneities between studies are substantial.
Key Points
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The GP atlas still corresponds well with mean chronological age in modern populations.
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The substantial variation within a population must be considered.
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The heterogeneity between studies is relatively large and of unknown origin. |
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ISSN: | 0938-7994 1432-1084 |
DOI: | 10.1007/s00330-018-5718-2 |