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A Semi-automatic Diagnosis of Hip Dysplasia on X-Ray Films
Background: Diagnosis of hip joint plays an important role in early screening of hip diseases such as coxarthritis, heterotopic ossification, osteonecrosis of the femoral head, etc. Early detection of hip dysplasia on X-ray films may probably conduce to early treatment of patients, which can help to...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7773838/ https://www.ncbi.nlm.nih.gov/pubmed/33392267 http://dx.doi.org/10.3389/fmolb.2020.613878 |
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author | Yang, Guangyao Jiang, Yaoxian Liu, Tong Zhao, Xudong Chang, Xiaodan Qiu, Zhaowen |
author_facet | Yang, Guangyao Jiang, Yaoxian Liu, Tong Zhao, Xudong Chang, Xiaodan Qiu, Zhaowen |
author_sort | Yang, Guangyao |
collection | PubMed |
description | Background: Diagnosis of hip joint plays an important role in early screening of hip diseases such as coxarthritis, heterotopic ossification, osteonecrosis of the femoral head, etc. Early detection of hip dysplasia on X-ray films may probably conduce to early treatment of patients, which can help to cure patients or relieve their pain as much as possible. There has been no method or tool for automatic diagnosis of hip dysplasia till now. Results: A semi-automatic method for diagnosis of hip dysplasia is proposed. Considering the complexity of medical imaging, the contour of acetabulum, femoral head, and the upper side of thigh-bone are manually marked. Feature points are extracted according to marked contours. Traditional knowledge-driven diagnostic criteria is abandoned. Instead, a data-driven diagnostic model for hip dysplasia is presented. Angles including CE, sharp, and Tonnis angle which are commonly measured in clinical diagnosis, are automatically obtained. Samples, each of which consists of these three angle values, are used for clustering according to their densities in a descending order. A three-dimensional normal distribution derived from the cluster is built and regarded as the parametric model for diagnosis of hip dysplasia. Experiments on 143 X-ray films including 286 samples (i.e., 143 left and 143 right hip joints) demonstrate the effectiveness of our method. According to the method, a computer-aided diagnosis tool is developed for the convenience of clinicians, which can be downloaded at http://www.bio-nefu.com/HIPindex/. The data used to support the findings of this study are available from the corresponding authors upon request. Conclusions: This data-driven method provides a more objective measurement of the angles. Besides, it provides a new criterion for diagnosis of hip dysplasia other than doctors' experience deriving from knowledge-driven clinical manual, which actually corresponds to very different way for clinical diagnosis of hip dysplasia. |
format | Online Article Text |
id | pubmed-7773838 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-77738382021-01-01 A Semi-automatic Diagnosis of Hip Dysplasia on X-Ray Films Yang, Guangyao Jiang, Yaoxian Liu, Tong Zhao, Xudong Chang, Xiaodan Qiu, Zhaowen Front Mol Biosci Molecular Biosciences Background: Diagnosis of hip joint plays an important role in early screening of hip diseases such as coxarthritis, heterotopic ossification, osteonecrosis of the femoral head, etc. Early detection of hip dysplasia on X-ray films may probably conduce to early treatment of patients, which can help to cure patients or relieve their pain as much as possible. There has been no method or tool for automatic diagnosis of hip dysplasia till now. Results: A semi-automatic method for diagnosis of hip dysplasia is proposed. Considering the complexity of medical imaging, the contour of acetabulum, femoral head, and the upper side of thigh-bone are manually marked. Feature points are extracted according to marked contours. Traditional knowledge-driven diagnostic criteria is abandoned. Instead, a data-driven diagnostic model for hip dysplasia is presented. Angles including CE, sharp, and Tonnis angle which are commonly measured in clinical diagnosis, are automatically obtained. Samples, each of which consists of these three angle values, are used for clustering according to their densities in a descending order. A three-dimensional normal distribution derived from the cluster is built and regarded as the parametric model for diagnosis of hip dysplasia. Experiments on 143 X-ray films including 286 samples (i.e., 143 left and 143 right hip joints) demonstrate the effectiveness of our method. According to the method, a computer-aided diagnosis tool is developed for the convenience of clinicians, which can be downloaded at http://www.bio-nefu.com/HIPindex/. The data used to support the findings of this study are available from the corresponding authors upon request. Conclusions: This data-driven method provides a more objective measurement of the angles. Besides, it provides a new criterion for diagnosis of hip dysplasia other than doctors' experience deriving from knowledge-driven clinical manual, which actually corresponds to very different way for clinical diagnosis of hip dysplasia. Frontiers Media S.A. 2020-12-17 /pmc/articles/PMC7773838/ /pubmed/33392267 http://dx.doi.org/10.3389/fmolb.2020.613878 Text en Copyright © 2020 Yang, Jiang, Liu, Zhao, Chang and Qiu. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Molecular Biosciences Yang, Guangyao Jiang, Yaoxian Liu, Tong Zhao, Xudong Chang, Xiaodan Qiu, Zhaowen A Semi-automatic Diagnosis of Hip Dysplasia on X-Ray Films |
title | A Semi-automatic Diagnosis of Hip Dysplasia on X-Ray Films |
title_full | A Semi-automatic Diagnosis of Hip Dysplasia on X-Ray Films |
title_fullStr | A Semi-automatic Diagnosis of Hip Dysplasia on X-Ray Films |
title_full_unstemmed | A Semi-automatic Diagnosis of Hip Dysplasia on X-Ray Films |
title_short | A Semi-automatic Diagnosis of Hip Dysplasia on X-Ray Films |
title_sort | semi-automatic diagnosis of hip dysplasia on x-ray films |
topic | Molecular Biosciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7773838/ https://www.ncbi.nlm.nih.gov/pubmed/33392267 http://dx.doi.org/10.3389/fmolb.2020.613878 |
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