Literature DB >> 25581985

Are the new automated methods for bone age estimation advantageous over the manual approaches?

Vincenzo De Sanctis1, Ashraf T Soliman, Salvatore Di Maio, Said Bedair.   

Abstract

Bone Age Assessment (BAA) is performed worldwide for the evaluation of endocrine, genetic and chronic diseases, to monitor response to medical therapy and to determine the growth potential of children and adolescents. It is also used for consultation in planning orthopedic procedures, for determination of chronological age for adopted children, youth sports participation and in forensic settings. The main clinical methods for skeletal bone age estimation are the Greulich and Pyle (GP) and the Tanner and Whitehouse (TW) methods. Seventy six per cent (76%) of radiologists or pediatricians usually use the method of GP, 20% that of TW and 4% other methods. The advantages of using the TW method, as opposed to the GP method, are that it overcomes the subjectivity problem and results are more reproducible. However, it is complex and time consuming; for this reason its usage is just about 20% on a world-wide scale. Moreover, there are some evidences that bone age assignments by different physicians can differ significantly. Computerized and Quantitative Ultrasound Technologies (QUS) for assessing skeletal maturity have been developed with the aim of reducing many of the inconsistencies associated with radiographic investigations. In spite of the fact that the volume of automated methods for BAA has increased, the majotity of them are still in an early phase of development. QUS is comparable to the GP based method, but there is not enough established data yet for the healthy population. The Authors wish to stimulate the attention on the accuracy, reliability and consistency of BAA and to initiate a debate on manual versus automated approaches to enhance our assessment for skeletal matutation in children and adolescents.

Entities:  

Mesh:

Year:  2014        PMID: 25581985

Source DB:  PubMed          Journal:  Pediatr Endocrinol Rev        ISSN: 1565-4753


  6 in total

1.  Validation of automated Greulich-Pyle bone age determination in children with chronic renal failure?

Authors:  Saritha Ranabothu; Frederick J Kaskel
Journal:  Pediatr Nephrol       Date:  2015-04-11       Impact factor: 3.714

2.  Assessing the Bone Age of Children in an Automatic Manner Newborn to 18 Years Range.

Authors:  Farzaneh Dehghani; Alireza Karimian; Mehri Sirous
Journal:  J Digit Imaging       Date:  2020-04       Impact factor: 4.056

3.  Probing an AI regression model for hand bone age determination using gradient-based saliency mapping.

Authors:  Zhiyue J Wang
Journal:  Sci Rep       Date:  2021-05-19       Impact factor: 4.379

Review 4.  Hand X-ray in pediatric endocrinology: Skeletal age assessment and beyond.

Authors:  Vincenzo De Sanctis; Salvatore Di Maio; Ashraf T Soliman; Giuseppe Raiola; Rania Elalaily; Giuseppe Millimaggi
Journal:  Indian J Endocrinol Metab       Date:  2014-11

5.  Bone Age Assessment of Iranian Children in an Automatic Manner.

Authors:  Farzaneh Dehghani; Alireza Karimian; Mehri Sirous; Javad Rasti; Ali Soleymanpour
Journal:  J Med Signals Sens       Date:  2021-01-30

6.  Diagnostic performance of convolutional neural network-based Tanner-Whitehouse 3 bone age assessment system.

Authors:  Xue-Lian Zhou; Er-Gang Wang; Qiang Lin; Guan-Ping Dong; Wei Wu; Ke Huang; Can Lai; Gang Yu; Hai-Chun Zhou; Xiao-Hui Ma; Xuan Jia; Lei Shi; Yong-Sheng Zheng; Lan-Xuan Liu; Da Ha; Hao Ni; Jun Yang; Jun-Fen Fu
Journal:  Quant Imaging Med Surg       Date:  2020-03
  6 in total

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