Bone age determination in eutrophic, overweight and obese Brazilian children and adolescents: a comparison between computerized BoneXpert and Greulich-Pyle methods

Artioli, Thiago Olivetti; Alvares, Matheus Alves; Macedo, Vanessa S Carvalho; Silva, Tatiane Sousa e; Avritchir, Roberto; Kochi, Cristiane; Longui, Carlos Alberto

doi:10.1007/s00247-019-04435-z

Cited by 14 publications

(9 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This system does not take into account the state of carpus bones maturation and allows a bone age assessment between 2.5 and 17 years and 2.0 and 15.0 years for male and female individuals, respectively. This software is validated for different ethnic groups and for children with different endocrine disorders (132)(133)(134). According to a recent study, the BoneXpert method is affected by obesity to a lesser extent than the Greulich-Pyle method.…”

Section: Computerized Automatic Systems For Reading Bone Age: Potentimentioning

confidence: 99%

Evaluation of Bone Age in Children: A Mini-Review

et al. 2021

View full text Add to dashboard Cite

Bone age represents a common index utilized in pediatric radiology and endocrinology departments worldwide for the definition of skeletal maturity for medical and non-medical purpose. It is defined by the age expressed in years that corresponds to the level of maturation of bones. Although several bones have been studied to better define bone age, the hand and wrist X-rays are the most used images. In fact, the images obtained by hand and wrist X-ray reflect the maturity of different types of bones of the skeletal segment evaluated. This information, associated to the characterization of the shape and changes of bone components configuration, represent an important factor of the biological maturation process of a subject. Bone age may be affected by several factors, including gender, nutrition, as well as metabolic, genetic, and social factors and either acute and chronic pathologies especially hormone alteration. As well several differences can be characterized according to the numerous standardized methods developed over the past decades. Therefore, the complete characterization of the main methods and procedure available and particularly of all their advantages and disadvantages need to be known in order to properly utilized this information for all its medical and non-medical main fields of application.

show abstract

Section: Computerized Automatic Systems For Reading Bone Age: Potentimentioning

confidence: 99%

Evaluation of Bone Age in Children: A Mini-Review

et al. 2021

View full text Add to dashboard Cite

show abstract

“…Artioli et al studied in 2019 the influence of BMI on skeletal age [ 44 ]. They examined a total of 777 children aged between 5 and 17 years in Brazil.…”

Section: Discussionmentioning

confidence: 99%

The relevance of body mass index in forensic age assessment of living individuals: an age-adjusted linear regression analysis using multivariable fractional polynomials

et al. 2020

View full text Add to dashboard Cite

In forensic age assessment of living individuals, developmental stages of skeletal maturation and tooth mineralization are examined and compared with a reference population. It is of interest which factors can affect the development of these features. We investigated the effect of body mass index (BMI) on the developmental stages of the medial epiphysis of the clavicle, the distal epiphysis of the radius, the distal epiphysis of the femur, the proximal epiphysis of the tibia, and the left lower third molar in a total of 581 volunteers, 294 females and 287 males aged 12–24 years, using 3 T MRI. BMI values in the cohort ranged from 13.71 kg/m2 in a 12-year-old female to 35.15 kg/m2 in an 18-year-old female. The effect of BMI on the development of the characteristics was investigated using linear regression models with multivariable fractional polynomials. In the univariable analysis, BMI was associated with all feature systems (beta between 0.10 and 0.44; p < 0.001). When accounting for the physiological increase of BMI with increasing age, the effect of BMI was lower and in the majority of the models no longer clinically relevant. Betas decreased to values between 0.00 and 0.05. When adding feature variables to a model already including age, r2 values increased only minimally. For an overall bone ossification score combining all characteristics, the adjusted ß was 0.11 (p = 0.021) and 0.08 (p = 0.23) for females and males, respectively. Low ß and r2 values (0.00 (adjusted)–0.16 (crude)) were present in both models for third molar development already in the unadjusted analyses. In conclusion, our study found no to little effect of BMI on osseous development in young adults. Teeth development in both sexes was completely independent of BMI. Therefore, dental methods should be part of every age assessment.

show abstract

“…Automated bone age determination by BoneXpert™ can be used as a reliable tool and e cient method, because it is time-and cost saving. It is reliable also when bone age is accelerated or retarded [7,8,12,9]. Apart from children with chronic kidney disease, in which automated BA tended to underestimate acceleration or retardation of bone age [10], this difference can be probably explained by the renal osteodystrophy in this cohort.…”

Section: Discussionmentioning

confidence: 81%

“…Recently, an automated image analysis method, BoneXpert™, has been introduced [6] and has been validated in patients with different endocrinopathies and with chronic renal failure [7][8][9][10]. BoneXpert™ uses an adopted prospective height prediction method (BX), which is an improvement and extension of the Bayley-Pinneau method (BP) [11].…”

Section: Introductionmentioning

confidence: 99%

Near Adult Heights and Predictions of Prospective Adult Heights using Automated and Conventional Greulich-Pyle Bone Age Determinations in children with chronic endocrine diseases

Choukair¹,

Hückmann²,

Mittnacht³

et al. 2021

Preprint

View full text Add to dashboard Cite

Calculation of prospective adult heights (PAH) is associated with considerable bone age interrater variability. Therefore, the new PAH method based on automated bone age (BA) determination (BoneXpert™) was compared to the conventional PAH method by Bayley- Pinneau (BP) based on BA determination according to Greulich and Pyle (GP) and to observed near adult heights. Heights and near adult heights were measured in 82 patients (48 females) with chronic endocrinopathies at age of 10.45 ± 2.12 years and at time of transition to adult care (17.98 ± 3.02 years). Further, BA were assessed according to conventional GP - by three experts- and by BoneXpert™. PAH were calculated using conventional BP tables and BoneXpert™. The conventional and the automated BA determinations revealed a mean difference of 0.25 ± 0.72 years (p = 0.0027). The automated PAH by BoneXpert™ were 156.96 ± 0.86 cm in females and 171.75 ± 1.6 cm in males compared to 153.95 ± 1.12 cm in females and 169.31 ± 1.6 cm in males by conventional BP, respectively, and in comparison to near adult heights 156.38 ± 5.84 cm in females and 168.94 ± 8.18 cm in males, respectively. Conclusion: BA ratings and adult height predictions by BoneXpert™ in children with chronic endocrinopathies abolish rater dependent variability and enhance reproducibility of estimates thereby refining care in growth disorders. Conventional methods may outperform automated analyses in specific cases.

show abstract

Bone age determination in eutrophic, overweight and obese Brazilian children and adolescents: a comparison between computerized BoneXpert and Greulich-Pyle methods

Cited by 14 publications

References 19 publications

Evaluation of Bone Age in Children: A Mini-Review

Evaluation of Bone Age in Children: A Mini-Review

The relevance of body mass index in forensic age assessment of living individuals: an age-adjusted linear regression analysis using multivariable fractional polynomials

Near Adult Heights and Predictions of Prospective Adult Heights using Automated and Conventional Greulich-Pyle Bone Age Determinations in children with chronic endocrine diseases

Contact Info

Product

Resources

About