Evaluation of skeletal age based on Greulich-Pyle method in Tehran

Ebrahimzade, Mohammadreza; Rahban, Dariush; Bahmaei, Aarman Baboli; Masoumi, Safdar; Changizi, Vahid; Mirdoraghi, Mohammad

doi:10.1016/j.mex.2019.06.004

Cited by 5 publications

(6 citation statements)

References 4 publications

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“…Consequently, the accuracy of AI BA assessment for children younger than 12 years may be less accurate than that for children aged 12-18 years. In clinical practice, BA assessment for children younger than 12 years is also more difficult for radiologists and endocrinologists, and interobserver variability is more likely to occur (Ebrahimzade et al, 2019;Alshamrani, Messina & Offiah, 2019). Therefore, more training data of left hand radiographs from younger children are helpful to improve the performance of the AI BA system.…”

Section: Discussionmentioning

confidence: 99%

Artificial intelligence system can achieve comparable results to experts for bone age assessment of Chinese children with abnormal growth and development

Wang

Chen

et al. 2020

PeerJ

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Objective Bone age (BA) is a crucial indicator for revealing the growth and development of children. This study tested the performance of a fully automated artificial intelligence (AI) system for BA assessment of Chinese children with abnormal growth and development. Materials and Methods A fully automated AI system based on the Greulich and Pyle (GP) method was developed for Chinese children by using 8,000 BA radiographs from five medical centers nationwide in China. Then, a total of 745 cases (360 boys and 385 girls) with abnormal growth and development from another tertiary medical center of north China were consecutively collected between January and October 2018 to test the system. The reference standard was defined as the result interpreted by two experienced reviewers (a radiologist with 10 years and an endocrinologist with 15 years of experience in BA reading) through consensus using the GP atlas. BA accuracy within 1 year, root mean square error (RMSE), mean absolute difference (MAD), and 95% limits of agreement according to the Bland-Altman plot were statistically calculated. Results For Chinese pediatric patients with abnormal growth and development, the accuracy of this new automated AI system within 1 year was 84.60% as compared to the reference standard, with the highest percentage of 89.45% in the 12- to 18-year group. The RMSE, MAD, and 95% limits of agreement of the AI system were 0.76 years, 0.58 years, and −1.547 to 1.428, respectively, according to the Bland-Altman plot. The largest difference between the AI and experts’ BA result was noted for patients of short stature with bone deformities, severe osteomalacia, or different rates of maturation of the carpals and phalanges. Conclusions The developed automated AI system could achieve comparable BA results to experienced reviewers for Chinese children with abnormal growth and development.

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Section: Discussionmentioning

confidence: 99%

Artificial intelligence system can achieve comparable results to experts for bone age assessment of Chinese children with abnormal growth and development

Wang

Chen

et al. 2020

PeerJ

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“…Precocious puberty was diagnosed based on the following criteria: Breast growth and pubic hair: Breast growth and pubic hair growth were defined as stage 2 or higher according to Tanner [ 19 ]. Bone age: Bone age was measured according to the method presented by Greulich and Pyle [ 20 ]; 2 years above the mean for chronological age is consistent with precocious puberty. Uterine and ovarian dimensions: Trans-abdominal pelvic ultrasound scans were performed with a conventional full-bladder 5 MHz scanner (SonolinePrima, Siemens); Uterine length > 3.4 cm and ovarian volume > 2.0 mL are consistent with precocious puberty [ 21 ].…”

Section: Methodsmentioning

confidence: 99%

“…Bone age: Bone age was measured according to the method presented by Greulich and Pyle [ 20 ]; 2 years above the mean for chronological age is consistent with precocious puberty.…”

Section: Methodsmentioning

confidence: 99%

Positive effect of combined exercise on adipokines levels and pubertal signs in overweight and obese girls with central precocious puberty

2021

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Background The prevalence of precocious puberty is increasing. Obesity has been demonstrated to be associated with changes in the adipokine profile and incidence of early puberty in girls. This study assessed the pubertal signs, the levels of adiponectin, resistin, and tumor necrosis factor-alpha (TNF-α) after 12 weeks of combined exercise and 4 weeks of detraining in overweight and obese girls with precocious puberty. Methods Thirty overweight and obese girls (aged 7–9) with precocious puberty, who had received Triptorelin, were randomly divided into two groups (15 exercise and 15 control). Initially, serum levels of adiponectin, resistin, TNF-α, luteinising hormone (LH), and follicle-stimulating hormone (FSH) and the signs of puberty progression (bone age, uterine length, and ovarian volume) were measured. The exercise group performed 60 min of combined (aerobic and resistance) exercise three times/week for 12 weeks. The control group did not receive any exercise. 48 h after the last training session and after 4 weeks of detraining, all research variables were measured (also in the control group). The statistical method used for data analysis was repeated measures ANOVA. Results In the exercise group, adiponectin significantly increased and resistin significantly decreased after 12 weeks. After 4 weeks of detraining, adiponectin significantly decreased, but resistin significantly increased. TNF-α levels did not change significantly during the study. There was no significant difference in all of the factors in the control group. Throughout the 16-week study period, the rate of puberty and LH significantly decreased in both exercise and control groups, but FSH, LH/FSH and ovarian volume significantly decreased in the exercise group alone (P<0.05). Conclusions Combined exercise increased adiponectin and decreased resistin and the rate of puberty. However, after 4 weeks of detraining, these effects diminished but did not disappear. Trial registration IRCT, IRCT56471. Registered 25 may 2021 - Retrospectively registered, https://fa.irct.ir/user/profile

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“…They observed that the adductor sesamoid development was closely related to SOS development. On the contrary, Ebrahimzade et al 23 did not find the Greulich‐Pyle method in hand‐wrist radiographs of the Iranian population accurate enough for age determination in males. Therefore, inadequacy and conflict of population‐based information and increasing demand for age estimation in orthodontics and forensic medicine necessitate further studies on the efficacy of different age estimation methods in various population groups.…”

Section: Discussionmentioning

confidence: 93%

Fusion patterns of the spheno‐occipital synchondrosis in the age range of 9‐22: A computed tomography analysis

Kajan

Hadinezhad

Khosravifard

et al. 2020

Orthod Craniofacial Res

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Skull base synchondroses are temporary cartilaginous joints between bones with endochondral origin and growth. Craniofacial growth is supposed to be interrelated with the synchondroses. 1,2 The spheno-occipital synchondrosis (SOS) is a longitudinal groove that extends from the clivus to the pharyngeal surface of the cranial base, connecting the sphenoid and occipital bones. SOS is considered an important growth area in the craniofacial skeleton owing to its impact on the lengthening of the cranial base axis and

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Evaluation of skeletal age based on Greulich-Pyle method in Tehran

Abstract: Graphical abstract

Cited by 5 publications

References 4 publications

Artificial intelligence system can achieve comparable results to experts for bone age assessment of Chinese children with abnormal growth and development

Artificial intelligence system can achieve comparable results to experts for bone age assessment of Chinese children with abnormal growth and development

Positive effect of combined exercise on adipokines levels and pubertal signs in overweight and obese girls with central precocious puberty

Fusion patterns of the spheno‐occipital synchondrosis in the age range of 9‐22: A computed tomography analysis

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