An Interpretable Computer-Aided Diagnosis Method for Periodontitis From Panoramic Radiographs

Li，Haoyang1,2,3; Zhou，Juexiao2,4; Zhou，Yi5; Chen，Qiang6; She，Yangyang7; Gao，Feng8; Xu，Ying1,5; Chen，Jieyu7; Gao，Xin2

2021-06-22

10.3389/fphys.2021.655556

Frontiers in Physiology   影响因子和分区

1664-042X

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.

computer-aided diagnostics interpretable model panoramic radiograph periodontitis diagnosis teeth segmentation and numbering

SCI

英语

其他

WOS:000669859000001

2-s2.0-85109257516

Scopus

1.Cancer Systems Biology Center,The China-Japan Union Hospital,Jilin University,Changchun,China
2.Computational Bioscience Research Center (CBRC),King Abdullah University of Science and Technology (KAUST),Thuwal,Saudi Arabia
3.College of Computer Science and Technology,Jilin University,Changchun,China
4.Department of Biology,Southern University of Science and Technology,Shenzhen,China
5.Department of Biochemistry and Molecular Biology and Institute of Bioinformatics,University of Georgia,Athens,United States
6.The Affiliated Stomatological Hospital of Soochow University,Soochow,China
7.Department of Stomatology,The Sixth Affiliated Hospital,Sun Yat-sen University,Guangzhou,China
8.Department of Colorectal Surgery,The Sixth Affiliated Hospital,Sun Yat-sen University,Guangzhou,China

Li，Haoyang,Zhou，Juexiao,Zhou，Yi,et al. An Interpretable Computer-Aided Diagnosis Method for Periodontitis From Panoramic Radiographs[J]. Frontiers in Physiology,2021,12.

Li，Haoyang.,Zhou，Juexiao.,Zhou，Yi.,Chen，Qiang.,She，Yangyang.,...&Gao，Xin.(2021).An Interpretable Computer-Aided Diagnosis Method for Periodontitis From Panoramic Radiographs.Frontiers in Physiology,12.

Li，Haoyang,et al."An Interpretable Computer-Aided Diagnosis Method for Periodontitis From Panoramic Radiographs".Frontiers in Physiology 12(2021).