Traditional and New Methods of Bone Age Assessment-An Overview
Bone age is one of biological indicators of maturity used in clinical practice and it is a very important parameter of a child’s assessment, especially in paediatric endocrinology. The most widely used method of bone age assessment is by performing a hand and wrist radiograph and its analysis with G...
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| Format: | Article |
| Language: | English |
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Galenos Yayincilik
2021-09-01
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| Series: | JCRPE |
| Subjects: | |
| Online Access: |
http://www.jcrpe.org/archives/archive-detail/article-preview/traditional-and-new-methods-of-bone-age-assessment/41656
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| _version_ | 1797912239355723776 |
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| author | Monika Prokop-Piotrkowska Kamila Marszałek-Dziuba Elżbieta Moszczyńska Mieczysław Szalecki Elżbieta Jurkiewicz |
| author_facet | Monika Prokop-Piotrkowska Kamila Marszałek-Dziuba Elżbieta Moszczyńska Mieczysław Szalecki Elżbieta Jurkiewicz |
| author_sort | Monika Prokop-Piotrkowska |
| collection | DOAJ |
| description | Bone age is one of biological indicators of maturity used in clinical practice and it is a very important parameter of a child’s assessment, especially in paediatric endocrinology. The most widely used method of bone age assessment is by performing a hand and wrist radiograph and its analysis with Greulich-Pyle or Tanner-Whitehouse atlases, although it has been about 60 years since they were published. Due to the progress in the area of Computer-Aided Diagnosis and application of artificial intelligence in medicine, lately, numerous programs for automatic bone age assessment have been created. Most of them have been verified in clinical studies in comparison to traditional methods, showing good precision while eliminating inter- and intra-rater variability and significantly reducing the time of assessment. Additionally, there are available methods for assessment of bone age which avoid X-ray exposure, using modalities such as ultrasound or magnetic resonance imaging. |
| first_indexed | 2024-04-10T11:53:25Z |
| format | Article |
| id | doaj.art-1896c1728b7044e0881ff18a2dbd8d95 |
| institution | Directory Open Access Journal |
| issn | 1308-5727 1308-5735 |
| language | English |
| last_indexed | 2024-04-10T11:53:25Z |
| publishDate | 2021-09-01 |
| publisher | Galenos Yayincilik |
| record_format | Article |
| series | JCRPE |
| spelling | doaj.art-1896c1728b7044e0881ff18a2dbd8d952023-02-15T16:16:59ZengGalenos YayincilikJCRPE1308-57271308-57352021-09-0113325126210.4274/jcrpe.galenos.2020.2020.009113049054Traditional and New Methods of Bone Age Assessment-An OverviewMonika Prokop-Piotrkowska0Kamila Marszałek-Dziuba1Elżbieta Moszczyńska2Mieczysław Szalecki3Elżbieta Jurkiewicz4 Children’s Memorial Health Institute, Department of Endocrinology and Diabetology, Warsaw, Poland Children’s Memorial Health Institute, Department of Endocrinology and Diabetology, Warsaw, Poland Children’s Memorial Health Institute, Department of Endocrinology and Diabetology, Warsaw, Poland Jan Kochanowski University, Collegium Medicum, Kielce, Poland Children’s Memorial Health Institute, Department of Diagnostic Imaging, Warsaw, Poland Bone age is one of biological indicators of maturity used in clinical practice and it is a very important parameter of a child’s assessment, especially in paediatric endocrinology. The most widely used method of bone age assessment is by performing a hand and wrist radiograph and its analysis with Greulich-Pyle or Tanner-Whitehouse atlases, although it has been about 60 years since they were published. Due to the progress in the area of Computer-Aided Diagnosis and application of artificial intelligence in medicine, lately, numerous programs for automatic bone age assessment have been created. Most of them have been verified in clinical studies in comparison to traditional methods, showing good precision while eliminating inter- and intra-rater variability and significantly reducing the time of assessment. Additionally, there are available methods for assessment of bone age which avoid X-ray exposure, using modalities such as ultrasound or magnetic resonance imaging. http://www.jcrpe.org/archives/archive-detail/article-preview/traditional-and-new-methods-of-bone-age-assessment/41656 maturationchildrenradiographsdeep learningneural networks |
| spellingShingle | Monika Prokop-Piotrkowska Kamila Marszałek-Dziuba Elżbieta Moszczyńska Mieczysław Szalecki Elżbieta Jurkiewicz Traditional and New Methods of Bone Age Assessment-An Overview JCRPE maturation children radiographs deep learning neural networks |
| title | Traditional and New Methods of Bone Age Assessment-An Overview |
| title_full | Traditional and New Methods of Bone Age Assessment-An Overview |
| title_fullStr | Traditional and New Methods of Bone Age Assessment-An Overview |
| title_full_unstemmed | Traditional and New Methods of Bone Age Assessment-An Overview |
| title_short | Traditional and New Methods of Bone Age Assessment-An Overview |
| title_sort | traditional and new methods of bone age assessment an overview |
| topic | maturation children radiographs deep learning neural networks |
| url |
http://www.jcrpe.org/archives/archive-detail/article-preview/traditional-and-new-methods-of-bone-age-assessment/41656
|
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