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An Interpretable Computer-Aided Diagnosis Method for Periodontitis From Panoramic Radiographs
Periodontitis is a prevalent and irreversible chronic inflammatory disease both in developed and developing countries, and affects about 20–50% of the global population. The tool for automatically diagnosing periodontitis is highly demanded to screen at-risk people for periodontitis and its early de...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8258157/ https://www.ncbi.nlm.nih.gov/pubmed/34239448 http://dx.doi.org/10.3389/fphys.2021.655556 |
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author | Li, Haoyang Zhou, Juexiao Zhou, Yi Chen, Qiang She, Yangyang Gao, Feng Xu, Ying Chen, Jieyu Gao, Xin |
author_facet | Li, Haoyang Zhou, Juexiao Zhou, Yi Chen, Qiang She, Yangyang Gao, Feng Xu, Ying Chen, Jieyu Gao, Xin |
author_sort | Li, Haoyang |
collection | PubMed |
description | Periodontitis is a prevalent and irreversible chronic inflammatory disease both in developed and developing countries, and affects about 20–50% of the global population. The tool for automatically diagnosing periodontitis is highly demanded to screen at-risk people for periodontitis and its early detection could prevent the onset of tooth loss, especially in local communities and health care settings with limited dental professionals. In the medical field, doctors need to understand and trust the decisions made by computational models and developing interpretable models is crucial for disease diagnosis. Based on these considerations, we propose an interpretable method called Deetal-Perio to predict the severity degree of periodontitis in dental panoramic radiographs. In our method, alveolar bone loss (ABL), the clinical hallmark for periodontitis diagnosis, could be interpreted as the key feature. To calculate ABL, we also propose a method for teeth numbering and segmentation. First, Deetal-Perio segments and indexes the individual tooth via Mask R-CNN combined with a novel calibration method. Next, Deetal-Perio segments the contour of the alveolar bone and calculates a ratio for individual tooth to represent ABL. Finally, Deetal-Perio predicts the severity degree of periodontitis given the ratios of all the teeth. The Macro F1-score and accuracy of the periodontitis prediction task in our method reach 0.894 and 0.896, respectively, on Suzhou data set, and 0.820 and 0.824, respectively on Zhongshan data set. The entire architecture could not only outperform state-of-the-art methods and show robustness on two data sets in both periodontitis prediction, and teeth numbering and segmentation tasks, but also be interpretable for doctors to understand the reason why Deetal-Perio works so well. |
format | Online Article Text |
id | pubmed-8258157 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-82581572021-07-07 An Interpretable Computer-Aided Diagnosis Method for Periodontitis From Panoramic Radiographs Li, Haoyang Zhou, Juexiao Zhou, Yi Chen, Qiang She, Yangyang Gao, Feng Xu, Ying Chen, Jieyu Gao, Xin Front Physiol Physiology Periodontitis is a prevalent and irreversible chronic inflammatory disease both in developed and developing countries, and affects about 20–50% of the global population. The tool for automatically diagnosing periodontitis is highly demanded to screen at-risk people for periodontitis and its early detection could prevent the onset of tooth loss, especially in local communities and health care settings with limited dental professionals. In the medical field, doctors need to understand and trust the decisions made by computational models and developing interpretable models is crucial for disease diagnosis. Based on these considerations, we propose an interpretable method called Deetal-Perio to predict the severity degree of periodontitis in dental panoramic radiographs. In our method, alveolar bone loss (ABL), the clinical hallmark for periodontitis diagnosis, could be interpreted as the key feature. To calculate ABL, we also propose a method for teeth numbering and segmentation. First, Deetal-Perio segments and indexes the individual tooth via Mask R-CNN combined with a novel calibration method. Next, Deetal-Perio segments the contour of the alveolar bone and calculates a ratio for individual tooth to represent ABL. Finally, Deetal-Perio predicts the severity degree of periodontitis given the ratios of all the teeth. The Macro F1-score and accuracy of the periodontitis prediction task in our method reach 0.894 and 0.896, respectively, on Suzhou data set, and 0.820 and 0.824, respectively on Zhongshan data set. The entire architecture could not only outperform state-of-the-art methods and show robustness on two data sets in both periodontitis prediction, and teeth numbering and segmentation tasks, but also be interpretable for doctors to understand the reason why Deetal-Perio works so well. Frontiers Media S.A. 2021-06-22 /pmc/articles/PMC8258157/ /pubmed/34239448 http://dx.doi.org/10.3389/fphys.2021.655556 Text en Copyright © 2021 Li, Zhou, Zhou, Chen, She, Gao, Xu, Chen and Gao. https://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 | Physiology Li, Haoyang Zhou, Juexiao Zhou, Yi Chen, Qiang She, Yangyang Gao, Feng Xu, Ying Chen, Jieyu Gao, Xin An Interpretable Computer-Aided Diagnosis Method for Periodontitis From Panoramic Radiographs |
title | An Interpretable Computer-Aided Diagnosis Method for Periodontitis From Panoramic Radiographs |
title_full | An Interpretable Computer-Aided Diagnosis Method for Periodontitis From Panoramic Radiographs |
title_fullStr | An Interpretable Computer-Aided Diagnosis Method for Periodontitis From Panoramic Radiographs |
title_full_unstemmed | An Interpretable Computer-Aided Diagnosis Method for Periodontitis From Panoramic Radiographs |
title_short | An Interpretable Computer-Aided Diagnosis Method for Periodontitis From Panoramic Radiographs |
title_sort | interpretable computer-aided diagnosis method for periodontitis from panoramic radiographs |
topic | Physiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8258157/ https://www.ncbi.nlm.nih.gov/pubmed/34239448 http://dx.doi.org/10.3389/fphys.2021.655556 |
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