Literature DB >> 29141916

Bone Age: A Handy Tool for Pediatric Providers.

Ana L Creo1, W Frederick Schwenk2,3.   

Abstract

Pediatricians have relied on methods for determining skeletal maturation for >75 years. Bone age continues to be a valuable tool in assessing children's health. New technology for bone age determination includes computer-automated readings and assessments obtained from alternative imaging modalities. In addition, new nonclinical bone age applications are evolving, particularly pertaining to immigration and children's rights to asylum. Given the significant implications when bone ages are used in high-stake decisions, it is necessary to recognize recently described limitations in predicting accurate age in various ethnicities and diseases. Current methods of assessing skeletal maturation are derived from primarily white populations. In modern studies, researchers have explored the accuracy of bone age across various ethnicities in the United States. Researchers suggest there is evidence that indicates the bone ages obtained from current methods are less generalizable to children of other ethnicities, particularly children with African and certain Asian backgrounds. Many of the contemporary methods of bone age determination may be calibrated to individual populations and hold promise to perform better in a wider range of ethnicities, but more data are needed.
Copyright © 2017 by the American Academy of Pediatrics.

Entities:  

Mesh:

Year:  2017        PMID: 29141916     DOI: 10.1542/peds.2017-1486

Source DB:  PubMed          Journal:  Pediatrics        ISSN: 0031-4005            Impact factor:   7.124


  19 in total

1.  Point-of-Care Bone Age Evaluation: The Increasing Role of US in Resource-limited Populations.

Authors:  Jonathan R Dillman; Rama S Ayyala
Journal:  Radiology       Date:  2020-04-28       Impact factor: 11.105

2.  Forensic bone age estimation of adolescent pelvis X-rays based on two-stage convolutional neural network.

Authors:  Li-Qin Peng; Yu-Cheng Guo; Lei Wan; Tai-Ang Liu; Peng Wang; Hu Zhao; Ya-Hui Wang
Journal:  Int J Legal Med       Date:  2022-01-18       Impact factor: 2.686

Review 3.  Update on adrenarche.

Authors:  Selma Feldman Witchel; Bianca Pinto; Anne Claire Burghard; Sharon E Oberfield
Journal:  Curr Opin Pediatr       Date:  2020-08       Impact factor: 2.856

4.  Brain Differences in the Prefrontal Cortex, Amygdala, and Hippocampus in Youth with Congenital Adrenal Hyperplasia.

Authors:  Megan M Herting; Anisa Azad; Robert Kim; J Michael Tyszka; Mitchell E Geffner; Mimi S Kim
Journal:  J Clin Endocrinol Metab       Date:  2020-04-01       Impact factor: 5.958

5.  A Polygenic Risk Score to Predict Future Adult Short Stature Among Children.

Authors:  Tianyuan Lu; Vincenzo Forgetta; Haoyu Wu; John R B Perry; Ken K Ong; Celia M T Greenwood; Nicholas J Timpson; Despoina Manousaki; J Brent Richards
Journal:  J Clin Endocrinol Metab       Date:  2021-06-16       Impact factor: 6.134

6.  Can forensic radiological skeletal age estimation be performed by examining ischiopubic-ilioischial-iliopubic synchondrosis in computed tomography images?

Authors:  Burak Gümüş; Erdal Karavaş; Onur Taydaş
Journal:  PLoS One       Date:  2022-04-28       Impact factor: 3.240

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

Authors:  Fengdan Wang; Xiao Gu; Shi Chen; Yongliang Liu; Qing Shen; Hui Pan; Lei Shi; Zhengyu Jin
Journal:  PeerJ       Date:  2020-04-01       Impact factor: 2.984

8.  The IMpact of Vertical HIV infection on child and Adolescent SKeletal development in Harare, Zimbabwe (IMVASK Study): a protocol for a prospective cohort study.

Authors:  Ruramayi Rukuni; Celia Gregson; Cynthia Kahari; Farirayi Kowo; Grace McHugh; Shungu Munyati; Hilda Mujuru; Kate Ward; Suzanne Filteau; Andrea M Rehman; Rashida Ferrand
Journal:  BMJ Open       Date:  2020-02-09       Impact factor: 2.692

9.  Accelerated skeletal maturation is associated with overweight and obesity as early as preschool age: a cross-sectional study.

Authors:  Dandan Ke; Dajiang Lu; Guang Cai; Jing Zhang; Xiaofei Wang; Koya Suzuki
Journal:  BMC Pediatr       Date:  2020-09-28       Impact factor: 2.125

10.  White Matter Microstructural Differences in Youth With Classical Congenital Adrenal Hyperplasia.

Authors:  Devyn L Cotter; Anisa Azad; Ryan P Cabeen; Mimi S Kim; Mitchell E Geffner; Farshid Sepehrband; Megan M Herting
Journal:  J Clin Endocrinol Metab       Date:  2021-10-21       Impact factor: 6.134

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.