ArticlePediatric radiology2019
Bone age determination in eutrophic, overweight and obese Brazilian children and adolescents: a comparison between computerized BoneXpert and Greulich-Pyle methods.
Article in Pediatric radiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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15 citing papers in PubMed, 21 citations in OpenAlex.
- Correlation of body mass index and serum 25-hydroxyvitamin D levels with advanced bone age in children from northwest China: a cross-sectional study.Translational pediatrics · 2026Article
- [Artificial intelligence algorithm for bone age estimation].Revista medica del Instituto Mexicano del Seguro Social · 2026Observational
- The Metacarpophalangeal Pattern Profile: An Old Method With New Insights Into the Evaluation of Short Stature.American journal of human biology : the official journal of the Human Biology Council · 2026Article
- Assessing skeletal maturity in a UK modern female population.Forensic science, medicine, and pathology · 2025Article
- A comparison of two artificial intelligence-based methods for assessing bone age in Turkish children: BoneXpert and VUNO Med-Bone Age.Diagnostic and interventional radiology (Ankara, Turkey) · 2025Article
- Comparison of BoneXpert and IB-Lab-PANDA automated Bone Age Evaluation in Children With Growth and Puberty Disorders.Journal of the Endocrine Society · 2025Article
- Correlation of bone age development with overweight and obesity in 23,305 children from Beijing.Endocrine · 2025Article
- Comparison of bone age assessment using manual Greulich and Pyle method versus automated BoneXpert method in South African children.SA journal of radiology · 2025Article
- Comparison of classical methods for bone age determination with Capitohamate planimetry on wrist X-rays.Turkish journal of medical sciences · 2024Article
- Analysis of the Relationship between Nutritional Status and Bone Age and Sexual Development in Children and Adolescents.Evidence-based complementary and alternative medicine : eCAM · 2022Article
- Role of Medical IoT-Based Bone Age Determination in the Diagnosis and Clinical Treatment of Dwarfism Disease Monitoring.Contrast media & molecular imaging · 2022Article
- Traditional and New Methods of Bone Age Assessment-An OverviewJournal of clinical research in pediatric endocrinology · 2021Article
- Important Tools for Use by Pediatric Endocrinologists in the Assessment of Short StatureJournal of clinical research in pediatric endocrinology · 2021Review
- Evaluation of Bone Age in Children: A Mini-Review.Frontiers in pediatrics · 2021Review
- The relevance of body mass index in forensic age assessment of living individuals: an age-adjusted linear regression analysis using multivariable fractional polynomials.International journal of legal medicine · 2020Article
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundBone age determination is usually employed to evaluate growth disorders and their treatment. The Greulich-Pyle method is the simplest and most frequently used type of evaluation, but it presents huge interobserver variability. The BoneXpert is a computer-automated method developed to avoid significant bone age variability among distinct observers.
objectiveTo compare the BoneXpert and Greulich-Pyle methods of bone age determination in eutrophic children and adolescents, as well as in overweight and obese pediatric patients. MATERIALS AND
methodsThe sample comprised 515 participants, 253 boys (159 eutrophic, 53 overweight and 41 obese) and 262 girls (146 eutrophic, 76 overweight and 40 obese). Left hand and wrist radiographs were acquired for bone age determination using both methods.
resultsThere was a positive correlation between chronological age and Greulich-Pyle, chronological age and BoneXpert, and Greulich-Pyle and BoneXpert. There was a significant increase (P<0.05) in bone age in both the Greulich-Pyle and BoneXpert methods in obese boys when compared to eutrophic or overweight boys of the same age. In girls, there was an increase in bone age in both obese and overweight individuals when compared to eutrophic girls (P<0.05). The Greulich-Pyle bone age was advanced in comparison to that of BoneXpert in all groups, except in obese boys, in which bone age was similarly advanced in both methods.
conclusionThe BoneXpert computer-automated bone age determination method showed a significant positive correlation with chronological age and Greulich-Pyle. Furthermore, the impact of being overweight or obese on bone age could be identified by both methods.
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